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Assistant Professor of Climate Data Science | The Journal of Blacks in Higher Education
Boston University invites applications for a faculty position at the rank of Assistant Professor in the Department of Earth Environment. This tenure-track position in Climate Data Science , beginning on July 1, 2027, is part of the ongoing cluster hire in Environmental Data Science and complements faculty searches within the Faculty of Computing and Data Science.rnrnWe particularly welcome candidates whose research focuses on the physical basis of climate, climate variability, and climate change, and who employ data science methodologies to deepen our understanding of how the climate system is changing and how these changes affect the global environment. Areas of interest include—but are not limited to—the changing frequency and intensity of extreme weather events; interactions between the atmosphere and terrestrial, oceanic, biospheric, and cryospheric systems; and improved understanding of Earth system predictability at seasonal, decadal, and longer time scales. We envision this position playing a central role in connecting and enhancing existing departmental strengths in climate-related research and teaching, including terrestrial and marine biogeosciences, land surface and coastal processes, paleoclimatology, energy and economic policy, and environmental sustainability. This faculty member will also contribute to university-wide interdisciplinary initiatives — including the Urban Biogeoscience and Environmental Health (URBAN) program, the Institute for Global Sustainability, and the Center for Climate and Health at the School of Public Health — and is expected to develop collaborative ties with the Faculty of Computing and Data Sciences, where shared interests in machine learning, large-scale data analytics, and Earth system modeling provide natural ground for joint advising, co-teaching, and grant development. This hire reflects our commitment to advancing interdisciplinary scholarship at the intersection of climate and data science. This position contributes to the University convergence themes of Global Sustainability as well as Artificial Intelligence, Data Science, Computing that are core pillars of BU's cross-disciplinary research priorities.rnrn Position Qualifications:rn Candidates should have a PhD or equivalent degree, demonstrated ability to obtain external funding to support their program of research and scholarship, and a commitment to excellence and innovation in teaching, education, and mentorship of students. The successful applicant will be expected to supervise graduate research in Ph.D. programs, teach at all levels in the Earth Environment curriculum, and maintain an externally funded research program. We seek applicants whose research complement strengths in the Department and around the University. For more information about the Department, see
California comp report signals pressure for higher employer costs
California employers could face higher workers compensation insurance costs as rising claim frequency, litigation expenses and persistent underwriting losses put pressure on rates…
Politics chat: Midterm polls, Senate races, Trump in Texas
As polls come out with increasing frequency closer to the midterm election, how much credence should voters give them? Meanwhile, President Trump continues campaigning for GOP candidates.
Victoria Monét’s ‘Frequency of Love’ aims to strike the optimal sonic vibration
Victoria Monét is back with 22 new tracks of music for her project “Frequency of Love.” | WBBM Newsradio 780 AM & 105.9 FM
Victoria Monét’s ‘Frequency of Love’ aims to strike the optimal sonic vibration
Victoria Monét is back with 22 new tracks of music for her project “Frequency of Love.” | 830 WCCO
Victoria Monét’s ‘Frequency of Love’ aims to strike the optimal sonic vibration
Victoria Monét is back with 22 new tracks of music for her project “Frequency of Love.”.
Chris Koza album release concert Oct. 24
Lanesboro Arts is thrilled to celebrate the release of Chris Koza’s latest album, “Millsmoke on the Skyline,” with a concert at the St. Mane Theatre at 7 p.m. on October 24. Chris Koza is a composer and performer based in Denver and Minneapolis. In his writing, Koza both honors and builds on the vast genre of Americana music. For every song that sounds like it could be strummed from a boxcar clacking slowly across a grassy midwestern plain, there’s a tune sailing from a city rooftop, echoing across a valley of streets and traffic, or a melody twisting and shimmering like a dim frequency deep into the starry night.Both as a solo artist and with his band Rogue Valley, Koza has supported and shared the stage with artists such as Brandi Carlile, Gordon Lightfoot, Ingrid Michaelson, The Jayhawks, Neko Case, Kathleen Edwards, Dan Wilson, and many more. His music regularly appears on ABC’s “General Hospital,” “60 Minutes,” and “Good Morning America.” Koza’s song, “Be Wild,” was also featured in a state of Minnesota tourism campaign.#placement_932485_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid932485 = window.pid932485 || rnd;var plc932485 = window.plc932485 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=932485;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid932485+';place='+(plc932485++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');Koza’s latest offering, “Millsmoke on the Skyline,” grants the newfound outsider perspective of the rich life and golden fleeting days throughout the rural Midwest. Weaving melody and lyrics into vignettes and narratives set in places where love is powerful, dreams are vast, and life is beautiful.The St. Mane Theatre box office will open at 6 p.m. on the day of the concert. Tickets will be sold in person at the door or can be purchased online at lanesboroarts.org. Seating at the St. Mane theatre is first come, first served. Tickets are on sale now for $25 for general admission or $22 for Lanesboro Arts members.The 2026 performing arts season at Lanesboro Arts is made possible by our season sponsor, Poet Refinery, as well as our concert level sponsors, High Court Pub, Krage Insurance Agency & Preble Farmers Mutual, Stone Mill Clothing & Gifts, E2 Boutique/Amish Experience, and The Cottage House Inn, and community sponsors, VIS Plumbing, Granny’s Liquor, Kingsley Mercantile, Batstone CPA, Clara’s Eatery, IGA, Niagara Cave, and Huntington Electric. This event is made possible by the voters of Minnesota through a Minnesota State Arts Board grant, thanks to a legislative appropriation from the Arts and Cultural Heritage Fund. #placement_932489_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid932489 = window.pid932489 || rnd;var plc932489 = window.plc932489 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=932489;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid932489+';place='+(plc932489++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');
Mental health claim frequency rises 47% in comp: WCRI
Mental health claims’ share of paid workers compensation claims rose 47% from 2015 to 2024, with the rate more than doubling in health care, according to a Workers Compensation Research Institute…
Opinion: Well-being of Coloradans is strengthened by a commitment to arts and creativity
Public health conversations across the state need to be more than just the number of hospitals or the frequency of doctor visits.
Environmental citizen science in schools: impacts on knowledge, attitudes and behaviour
Providing students with hands-on nature-based citizen science education can lead to greater frequency and range of pro-environmental behaviours.
As RFK Jr. Opens Inquiry On Disputed Health Effects Of Cellphone Radiation, What Does Science Tell Us About Radiofrequency Emissions?
The Trump Administration aims to “identify gaps in our knowledge.” But it's not clear this investigation will add much to the conversation beyond what scientific studies have already shown.
As RFK Jr. Opens Inquiry On Disputed Health Effects Of Cellphone Radiation, What Does Science Tell Us About Radiofrequency Emissions?
The Trump Administration aims to “identify gaps in our knowledge.” But it's not clear this investigation will add much to the conversation beyond what scientific studies have already shown.
Apple Watch Ultra 2 vs. Ultra 4 Buyer's Guide: Should You Upgrade?
The Apple Watch Ultra 4 arrives three years after the Ultra 2. Across those two generations, Apple added satellite connectivity, a larger display, new health sensors, and longer battery life. Are those changes enough to justify replacing an Ultra 2 or paying more for the newest model? Both watches retain a 49mm titanium case, an Action button, a siren, a 3,000-nit display, dual-frequency GPS, and support for recreational diving to 40 meters. The Apple Watch Ultra 4 starts at $799 in the U.S.
Distant time crystals can somehow fall into the same rhythm
Researchers have shown that multiple time crystals inside a semiconductor can synchronize their oscillations, much like pendulum clocks gradually falling into the same rhythm. The coupling is carried by spin-polarized electrons, allowing time crystals separated by up to 40 micrometers to lock to a common frequency. The discovery reveals surprisingly long-range connections between these exotic spin systems and could help researchers develop future spin-based devices.
Kennedy announces an investigation into EMF and radiofrequency radiation
Health Secretary Robert F. Kennedy Jr. said in a video, “Wireless technology touches nearly every part of American life: cell phones, Wi-Fi, smart meters, wearable devices, wireless medical devices, 5G and emerging technologies like…
RFK, Jr. is focusing attention on electromagnetic fields. Here’s what the science says about exposure
The research into how electromagnetic and radiofrequency waves influence health is plagued by low-quality studies
The Big Holes in Wearable Heart Rate Variability And Readiness Scores
On September 9th, Apple announced it was revamping its Apple Watch Health Sensing System, rolling out a Readiness score (0 to 10), and increasing the frequency of heart rate variability (HRV) outputs 24-fold. This can be viewed as upping its competition with various other consumer wearable sensors. These “readiness scores” as a composite of multiple metrics, with heart rate variability (HRV) being front and center for most. The majority of Americans are now using wearable sensors, which equates to well over 100 million adults. HRV and Readiness scores are increasingly being marketed as a measurement of autonomic nervous system health, a digital marker for future disease, a clock for biological age, and a holistic metric to promote healthspan and even longevity. (Apple also introduced a new longevity tab and “Health Age”.) None of this has been proven. In this edition of Ground Truths I am going to review what we know about heart rate variability and readiness scores. Heart Rate Variability HRV is the variation in normal heart cycle timing. The variability of the heart rate, the barely perceptible millisecond changes in time between consecutive heart beats (see R-R intervals in the Figure below, left panel), is due to interplay between the sympathetic and parasympathetic (vagal nerve) inputs. Distinct from heart rate, individuals with the same heart rate can have very different HRVs. It is a rough reflection of the autonomic nervous system (ANS) activity, inadequate to say whether a person’s ANS function is abnormal. For more than three decades, heart rate variability (HRV) has been measured and several studies have found an association of low HRV and clinical outcomes, particularly a link with higher all-cause and cardiovascular mortality. There have also been less well established links of low HRV to risk of early cognitive impairment, dementia, mental illness, Type 2 diabetes and substance abuse. An important reminder is that HRV is a surrogate marker without any established cause-and-effect relationship. If you increase your HRV, that doesn’t mean it will improve health outcomes. In fact, there is no hard evidence for that. All that work linking to health outcomes was done with electrocardiogram (ECG) derived HRV. Now, in the era of consumer wearables, this is getting assessed differently, by optical pulse (yes, the lights you see) plethysmography (PPG) or what is called pulse rate variability (PRV). They are not the same, as shown below (right panel) and only concordant when the delay between the ECG and pulse is kept constant, which basically means at rest. I should mention there’s also what I will call MPV, a mattress mechanical movement sensor, a derived heart rate variability, that companies like Eight Sleep use, even further away from directly measuring HRV. HRV has not one uniform measurement but many different types of quantification, such as RMSSD, the magnitude of difference between successive R-R intervals of normal sinus beats (N-N) or SDNN, the standard deviation of NN intervals, both in milliseconds. SDNN is one of the so-called frequency domain HRVs (others are LF, HF, LF/HF). Different wearable sensors use different metics; Apple has relied on SDNN and nearly all of the others use RMSSD, which is generally considered the more accurate metric. There’s also the different length of time measured, such as for a matter of minutes, all day, or an overnight’s sleep. Short measurements are especially problematic since they don’t capture enough of respiratory modulation and other factors that influence HRV. Share Ground Truths How well does HRV correlate with PRV? There are very limited studies, especially independently done. One that is commonly cited was conducted by Air Force researchers in only 13 healthy adults assessing Oura ring 3 and 4, Whoop 4.0, and Garmin Fenix 6 and showed a correlation coefficient of 0.88 to 0.97 and a mean absolute percentage error from 6 to 10%. The correlation is not a perfect 1.0, but there’s at least a fairly high level of correlation. HRV is supposed to increase during the night due to takeover of the parasympathetic nervous system, and higher during deep sleep. A recent example of my 1 week, all day “HRV,” and one during sleep is shown below. As you can see, the N of 1 data are inconsistent for the same days from different sensors (Oura, AppleWatch, Fitbit Air, and Eight Sleep) by patterns, absolute numbers, and comparison with prior days and weeks. The largest study in over 8 million Fitbit users (the old version, not Google Fitbit Air, introduced in May 2026) gives you a sense of the effect of age, sex, and the 2 different main HRV (here PRV) metrics, with RMSSD on the left and SDRR (=SDNN) on the right below. That study, from data collected in 2018, is a major outlier, since all the more recent ones are tiny with respect to sample size. Many of the companies have not had independent evaluation of their HRV, such as Eight Sleep, but have published a low standard error on their website. There are some other published studies on the correlation between HRV and PRV, but they are all small and only in healthy adults. A scoping review emphasized the lack of study in underrepresented individuals, including the aged, people of color (which affects the PPG signal), and individuals who are underweight or obese. Add the typical adult age 60 plus with one or more chronic diseases. For example, one study in over 900 adults found poor correlation of HRV and PRV, non-uniformly underestimated across many chronic diseases (cardiovascular, endocrine, neurological, respiratory, and others), concluding PRV is “an invalid surrogate for HRV.” A recent systematic review of 43 studies comparing HRV and PRV found reasonable pooled absolute standardized error (HRV as gold standard) but only 10 of the studies provided quantitative synthesis in ideal conditions. Their main conclusion was similarly cautious: “PPG-derived HRV [PRV] should not be regarded as universally interchangeable with ECG-derived HRV across all devices, populations, and recording contexts.” Factors Affecting HRV and PRV That gets me to the long list of factors that affect HRV (and PRV) besides the device, the type of measurement (RMSSD, SDNN or others), the person’s signal, the sensor site, the duration of data capture, if weighting by sleep stage is used, how artifact is processed and corrected. And this list is not complete!: Oura puts out data from their community of users (who input data) on what affects their overnight HRV. The factors currently provided are: no alcohol (increase 8%), melatonin (increase 2%, float tank (increase 2%), wine (decrease 4%), and party (decrease 14%) in overnight HRV. Must be some big parties! Subscribe What is a PRV measurement good for? It has been falsely characterized as an index of “autonomic balance” and a specific indicator of stress. A 2018 review of the studies available for HRV and its relationship to stress, not using any of the current wearables, found that stress can lower HRV. But so can many other factors. The non-specificity of the signal, indexed to the table above, is striking. Evidence from a UK Biobank study of over 46,000 participants with actual HRV looked at genetically predicted HRV, a genetic risk score, that failed to show the expected HRV-mortality link, indicating that _HRV is likely not causa_l, but rather a reflection of person’s physiologic state. A review of consumer wearable HRV data from 5 longitudinal studies showed that nighttime PRV was not associated with perceived stress, and surprisingly higher HRV, in the largest cohort (N=717 participants), was correlated with higher stress. An Oura ring cohort of 525 first-year college students found a link between overnight PRV and perceived stress, but that was also seen with resting heart rate, sleep, and respiratory rate. Several very small studies have examined the relationship of HRV and athletic injuries or guiding training with mixed, and predominantly negative results. HRV biofeedback training with paced breathing had no significant effect on reducing stress or raising HRV, as demonstrated with sham controlled trials. When HRV for multiple days showed a decline in conjunction with body temperature, the Oura ring published data for prediction of Covid. The WHOOP company sponsored an observational study, published in 2026, of 30,000 users for 72 weeks, without a control group, that reported reduced alcohol intake (5.8 % points) by self-report. That doesn’t tell us much, and particularly about the merits of HRV for behavioral change. If you use the same device and conditions as longitudinal trends for multiple (at least 2-3) weeks that may be the one way to get something useful from the measurements. Data for overnight sleep with minimal motion and using RMSSD is the best proxy for real HRV. The reason to look at trends rather than any given night is that it more likely represents something, even though you won’t know with certainty what the “it” is. Keep in mind there are no data, no peer-reviewed evidence, to show that HRV fluctuation in-person has any correlation with health outcomes. Share Readiness Scores These are proprietary scores that integrate different metrics for each of the wearables: no algorithms have been disclosed. They are unvalidated against health outcomes. In a review of 14 composite health scores of readiness and recovery, HRV contributed 86% to the scores, followed by reading heart rate (79%), physical activity and sleep duration (both at 71%). That review noted the substantial variability in measurement protools and lack of standardization. Sleep staging is notoriously inconsistent and inaccurate by these sensors, which adds further to the HRV uncertainties for what the scores, which use sleep stage data, mean. Only resting heart rate has been shown consistently across devices to be extremely accurate. I’ve made a Table to summarize what we know about which metrics are included, the scores, any peer-reviewed studies that compared the readiness score with health outcomes, and the corresponding (if any, NA-not available) citation. You will note that some companies do not use the term “readiness," such as WHOOP for recovery, and Garmin, which has 2 different scores, one of which is Body Battery. Eight Sleep uses the term “Fitness Score.” They all include HRV; Apple includes a new metric they call “Recovery HRV” which among other components uses 7-days of sleep, but it is unclear what this means or how it is differentiated from other scores (there are clearly no data for outcomes). We have no knowledge of how the different components are weighted or whether any of these scores are better than resting heart rate, HRV alone, physical activity, or any other single metric. Since none of these are standardized, they are not interchangeable, so if you get a 90 for Oura that has no relationship to a 90 on a Google Fitbit Air. Notably, the company can update its algorithm for readiness score at any point without notification to device users. Without any useful evidence of actionability for these scores or established relationship with health outcomes, it is hard to make a case for their value. At the Apple recent announcement they showed their Readiness score (0-10) on the watch (Figure below) but there are no published data on this score, not even on their website. It’s available only on their new Watch Series 12 or Ultra 4 [of course, ;-)]. That exemplifies the problems with these scores, lack of data and evidence for being meaningful to promote health. Perhaps the best study (which isn’t saying much) is the WHOOP Recovery for golfer performance, because it did correlate with an objective outcome, even though there was no control group and the authors were all from the company. Among the 389 pro golfers, an absolute 10-per cent point increase in Recovery score was associated with about 0.5 fewer strokes per round. But that’s hardly a health outcome! WHOOP is also conducting a study in over 2,700 runners to see if their recovery score will be linked to less injuries and improved performance, but that is not yet published and has no control group or randomization. Putting This in Context For two decades I’ve been enthusiastic about the potential for digital health and particularly wearable biosensors. Over the years, we’ve seen some great progress for their ability to promote physical activity and accurately detect atrial fibrillation (the first FDA cleared deep learning AI for consumers). That work was the subject of rigorous research. But there are holes in the data and evidence for other metrics. One notable one is the “VO2 max” story that I wrote about earlier this year. At that time many subscribers asked me to cover heart rate variability, which I finally got to here. When I dived into the research and publication for HRV and readiness scores, I expected to find at least some that were of high quality and demonstrated their utility by linkage to health outcomes. To my surprise, I found none. The wearable sensor measurements for HRV (PRV) are, for the most part, accurate, but that validation work has only been done in small studies of healthy adults and does not take into account the long list of factors, from the device, software side, and the user side, that affect HRV measurements. Moreover, this metric chiefly relies on optical sensing and, as we have learned for heart rate PPG sensing, may be less accurate in people of color. Keep in mind that all of the health outcome association evidence comes from ECG-derived HRV; none are from wearable sensor data. I will repeat the key point: there's no peer-reviewed evidence to show that in-person HRV fluctuation—or efforts to raise your HRV— has any correlation with health outcomes. For those of you who look at your HRV on awakening, or even 2+ week trends of it being low, I hope this context helps to relieve any anxiety. Yes, low HRV (not PRV) has been shown to increase risk of some diseases as summarized above. But efforts to raise your HRV—a surrogate metric— has not been established for improving any health outcomes. HRV does not have any evidence of causality (the genetic evidence actually goes against this possibility). In this summary, I have not included data for other wearable sensors such as Polar, Samsung, Withings, Suunto, Amazfit, Coros, Ultrahuman, or additional mattress sensors. These are beyond my first-hand experience, and as far as I know from my in-depth review none have any peer-reviewed published data that differ from the 6 sensors I’ve reviewed here. From the points I’ve gone over above, we’re not ready for readiness scores. Besides being proprietary, they are predominantly based on metrics that have their own issues. It’s compounding the problem, like building a house without a solid foundation that has never undergone a rigorous inspection, and then selling it. Like I mentioned for PRV, you can look at trends over weeks rather than any single day, to get a handle, but even that may not be helpful. There’s simply no evidence that these scores meaningfully relate to health outcomes. I’d emphasize they might, but that requires doing prospective or randomized studies to prove it. None exist. There’s great promise for HRV/PRV utility_. For example**,**_ Prof Maiken Nedergaard, who discovered the brain glymphatics that are essential in eliminating metabolic waste products from the brain during sleep, has posited that HRV could be a non-invasive marker for neuromodulator oscillations, brain-body regulatory circuits, and brain clearance. That would be extremely useful, but like everything else on HRV and readiness scores it requires solid research and validation. The lay media isn’t helping much to get the story straight. Earlier this year The Economist published a piece entitled “The most useful indicator of your overall health” which ordained HRV as an “accumulated stress score.” That’s akin to the false assertion about VO2max: “V02 max is the singular most powerful marker for longevity.” As I’ve summarized here, that is not established. The fact is that so many things can lower HRV, including physical exercise (especially an intense workout), reduced sleep quality, stress, the list above, no less the device, signal, and software. Whatever fluctuations observed have not been correlated with any health outcome. Sadly, “datamaxxers” are widely using HRV and readiness scores that have never been validated to mean anything. We already know that for some people using the sensors for sleep metrics, it can induce “orthosomnia,” an obsession to get high sleep quality, with associated high levels of anxiety. In an experiment done by a company to promote sleep quality for its employees, “For those employees who did use the trackers, many reported feeling perfectly rested until their tracker told them they had had a terrible night. Others were told that they had slept like a baby when they had actually been lying awake worrying about the quality of their sleep. “ The same problem can result from preoccupation with HRV or readiness scores, with anxiety that would lead to further reduction in both. It you are using a wearable like >100 million American adults, it’s OK to look at these data, but contextualized with the major caveats reviewed here. If you are one to require evidence that HRV or readiness scores are linked to health outcomes, you may not even want to look. The companies make it hard to turn them off! Let me end with the companies that make and sell wearables. Apple’s doubling down on HRV (24-fold more reporting and heart rate very 5 seconds) and introduction of a Readiness score tells us that consumers have bought into these metrics and they are joining the club. However, all of this is occurring with a backdrop of tens millions of users, claims about the data that are not backed up by adequate evidence, marketing way out in front of whatever limited data exists, and not being transparent about their readiness score algorithms. The companies can well afford to do the research that is needed to connect these metrics with health outcomes show, once and for all, that increasing HRV or using readiness scores promotes our health. If they believed and invested in the products they are selling, we’d not be in this position of not knowing. That’s essentially where we are with HRV and readiness scores. Perhaps someday this will change and we’ll have good reason to embrace them. NB: I wrote this post. No AI. I have no conflicts of interest with any of its content. Loading... Ground Truths has 215,000 subscribers from every US state and 214 countries. There are over 300,000 followers of Ground Truths so more than 90,000 folks who can easily convert to be free subscribers. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you’re not a subscriber, please join! If you found this interesting PLEASE share it! Share Ground Truths The proceeds from all voluntary paid subscriptions go to support our summer internship program. It enabled us to accept and support a record number of 62 summer interns that joined us in 2026! These are high school, college and medical students selected from thousands of applicants. We couldn’t do this expanded program without the funds coming in through Ground Truths. Thank you!
Science Vs on the 49ers Substation: Anatomy of a Hatchet Job
In August, Pablo Torre Finds Out and Science Vs released an episode about my theory that electromagnetic fields from the electrical substation beside the 49ers facility may be contributing to the team’s run of soft-tissue injuries. As the originator of the theory, I was also a subject of the episode. I sat was interviewed by Wendy Zukerman and Rose Rimler of Sciene Vs. I sent them research, connected them with scientists, and spent hours digging through the City of Santa Clara’s and Silicon Valley Power’s records to help clarify critical details. Both Wendy and Rose came off as affable and professional, showing curiosity during the interviews, with Wendy going out of her way to question the “conspiracy theory” framing itself. Then they titled the episode We Solve the 49ers Viral Conspiracy Theory. I was familiar enough with their catalog that I never expected them to agree with my theory, but I did expect them to give it a fair hearing and to deliver their findings honestly. On both counts they came up short. They were not directly dishonest in anything they said, but rather in what they left out, in how what remained was cut, and in the picture painted by those two things in combination. They asked me to recorded the interview on my phone for better audio quality, and I held on to my copy for reference later. That turned out to be a fortuitous decision. Here is the raw audio of my first interview, unedited*. Only my side was recorded, so their questions aren’t on it, but you can generally infer them from the answers, and every claim I make below about what I said can be checked against my statements in this clip. (Note: Wendy had connection trouble at the beginning of the interview and was cutting in and out, which accounts for the false starts.) 0:00 -1:19:13 Audio playback is not supported on your browser. Please upgrade. Science Vs is a fun show. It is pitched at roughly a high-school understanding of science, for an audience that is skeptical, Snopes-oriented, and worried about misinformation. Take a claim circulating online, interview a supporter of the claim, interview consensus scientists, and then tell people which side of the line it lands on. I have listened to their episodes on raw milk, seed oils, 5G and other contested issues in the wellness space. I have problems with all of them, but each at least made an honest attempt to represent the actual range of scientific opinion by talking to credentialed scientists with differing perspectives. Dissenting researchers were heard from, answered, and often given a chance to respond. This episode did not do that. This article is not a relitigation of the science. I have written extensively about that already. This post is for the record. It is simply an accounting of what was wrong with their episode. Contents Is there a power plant next to the 49ers practice facility? — the clearest single example of getting something objectively wrong For the record — a high-level overview of all of the problems with their investigation Draw your own conclusions — why they had to make this episode at all What they left out about childhood leukemia — the exposure threshold, and playing games with statistics to minimize sick children What they left out about the mechanism — the body of literature they refused to cover, and evidence for the mechanism used against it The scientists Science Vs interviewed and did not air — four credential scientists who support myhe theory, recorded and cut, or not even called How they misrepresented me and my case — an answer severed from its question, and three telling edits How you would actually study the injuries — it doesn’t actually matter which team is the most injured, overall The theory: magnetic fields, oxidative stress, and collagen Since the episode never states my theory, here it is below. Those who are familiar with my work can skip this section. Electrical equipment produces magnetic fields, and those fields induce faint electrical currents in anything that passes through them, including people. My argument goes further than induced current. Mitochondria — the structures that generate a cell’s energy — run on continuous flows of electrons and protons, and those flows carry faint electromagnetic fields of their own. Maxwell’s principle of superposition shows that when two fields share the same space, they add together. An external field does not need to be strong to alter an internal field, it only needs to be present. The electron transport chain inside the mitochondria leaks a small fraction of its electrons by design, and those become reactive oxygen species — free radicals, which healthy cells use as signals. External magnetic fields cause the rate of leakage to change, increasing free radicals. When free radicals accumulate faster than the cell’s antioxidant systems can clear them, the result is oxidative stress. Oxidative stress is a recognized driver of chronic illness, including cardiovascular disease, neurodegeneration, diabetes and cancer, and it is in every medical school curriculum. One of its ordinary effects in connective tissue is that it switches on matrix metalloproteinases — MMPs, the enzymes that break collagen apart — while suppressing new collagen synthesis. Tendons are made of collagen. An athlete loading his soft tissue heavily six days a week is already creating oxidative stress in the tendons, so the addition of magnetic field exposure compounds the damage and inhibits repair, making him more susceptible to injury when enormous force lands on a tendon in a fraction of a second. That is the theory. We know that EMF causes oxidative stress, and we know that oxidative stress degrades collagen. The only thing missing is a study showing that direct connection. I have never claimed certainty that the substation is contributing to the elevated injury rate. I do believe it is likely, and I believe it warrants caution, and that a revenue machine like a major NFL team can easily afford to remove the exposure out of precaution. Is there a power plant next to the 49ers practice facility? Here is the clearest single instance of the problem with this episode. It requires no knowledge of electromagnetic fields at all. This story first came to me through Jon Feliciano, a former 49er, in an interview on Willard & Dibs on 95.7 The Game. Asked about why the 49ers are always injured, he said players used to joke that it was the power plant behind the practice fields. Wendy Zukerman corrects him on air. “It’s important to say that it’s not a power plant near the 49ers site.” Torre then asks her to explain the difference between a substation and a power plant. Her answer: a power plant generates electricity and transmits it to a substation, which converts the voltage into something your house can use and sends it on to your home or your business. There are two problems with that. The first is that there is a power plant on that site. The Gianera Generating Station is a natural-gas-fired peaker plant owned by Silicon Valley Power, and it has been there since 1986. I have published aerial photographs of the location from 1987 in which the gas plant is the only thing standing, before the practice facility was even there. I even mentioned the gas plant in my first interview. (Feliciano has since gone on record about this issue, and it is clear he had the substation in mind rather than the gas plant.) The second is that her definition describes a distribution substation, and the facility beside the 49ers is not that. It is the Northern Receiving Station, which takes in bulk power from outside the city’s grid and delivers it to distribution substations. Silicon Valley Power’s own map distinguishes receiving stations from substations, and Rose Rimler even reads the label out loud in the episode when she walks through that map on air. A few minutes before the map segment, Zukerman tells Torre: “like I said, we fact check everything.” Well, maybe not everything. I made a mistake On the morning of July 6th, at 10:20, I sent Rose and Wendy two studies. During the interview I had been asked which human studies show oxidative stress from electromagnetic fields, and I had not been able to name one on the spot. Rose emailed asking for the studies, I quickly searched for a couple, and I wrote that I thought these were the most relevant from that search. Unfortunately, I was busy and did not read either one closely at first. I picked them because they were topically relevant — one on substation workers, one on power plant workers. Neither were great studies, and their problems go past the ones raised in the episode. That was careless on my part. There is context that did not make the episode, though. Before that email I had been on a Zoom call with Rose talking about EMF and oxidative stress, and I pointed her to Dr. Henry Lai at the University of Washington, who has spent years aggregating the literature on this question. His tallies show that roughly 90% of studies since the late 1990s find oxidative effects from electromagnetic field exposure — hundreds of studies, systematically counted. Rose told me she was already aware of his work. So when she asked for studies, I understood her to have the aggregate view already and that she would report anything within that context. Not reading those two carefully was still a mistake, but the larger mistake was assuming the episode would be based on a thorough review of the actual body of literature, rather than on whatever I happened to send that morning. The second email At 1:49 that same afternoon — three hours and twenty-nine minutes after the first — I sent them a second email that I had been preparing for a while. It was a structured document in six numbered sections, written in response to a request they had made two weeks earlier, laying out my entire argument with citations attached to every link in the chain. The episode aired on August 13th, five weeks later, and not a single item from the second email is in it. Here is how it opens: The full email is included at the bottom of this post in Appendix B. Nearly 1,500 words in total. It contains two named mechanisms with the physics behind them. Occupational studies in humans. The literature on oxidative stress and collagen. A section addressing the strongest counter-evidence against my own theory, which I raised myself. And a closing section stating plainly what the theory cannot yet show. My entire argument, in writing, with detailed citations for every claim, provided to them five weeks before broadcast, and none of it made it into the episode. That is the single largest omission, but it is not an isolated one. The whole episode is riddled with similar problems, and the conclusion they came to is not merely a difference of opinion about the scientific evidence. Through omission and through strategic editing, Science Vs misinformed its audience — about what the evidence shows, about what I argued, and about who they spoke to. That is a notable outcome for a show whose stated purpose is correcting misinformation. For the record I am not going to tell you that Science Vs set out to discredit me, or that they had come to their conclusion before they reported the story, or that they used misleading editing to make me look like a man retreating from his own theory. I cannot know what was in anyone’s head, and I am not going to pretend otherwise, either. What I can tell you is what is on the record. They asked me for evidence and aired the weakest thing I sent. They interviewed three scientists who supported my theory and aired none of them. They discussed childhood leukemia without ever saying the exposure level at which it appears. And they took an answer I gave weeks before Ken Karipidis, the one EMF scientist who was put on air, was interviewed, and placed it directly after his critique, where it comes off as a major concession. A friend of mine who has worked as a journalist for thirty years read that last one and called it sleazy. I agree with her. Those are just the four issues that are impossible to defend as pure editorial decision, but they are not the only issues. The most glaring issues stem from what they left out: The exposure level at which the childhood leukemia association actually appears — three to four milligauss, a number the episode never states despite it being much lower than what I measured. The mechanism itself: The episode gets as far as “oxidative stress could weaken collagen,” which leaves it sounding like speculation, rather than a known pathway. The second email, and all the studies in it. Dr. Paul Héroux at McGill, whose work my proposed mechanism rests on, whose contact details I supplied, and who was never called. Dr. Beatrice Golomb at UC San Diego, who runs a research group on oxidative stress and mitochondrial function and has specific expdertice in collagen, interviewed and not aired. Dr. David Carpenter at Albany, the most prominent academic voice on the harm from magnetic field exposure, interviewed and not aired. Dr. Joel Moskowitz at Berkeley, interviewed and not even credited. The specific, testable condition I put in writing that would make me abandon the theory. My own unprompted statement of the theory’s evidentiary gap. My caveats about my own measurements. My ranking of EMF as one factor among several rather than the only one. The new equipment installed at those facilities between 2010 and 2014, and the sharp rise in system load from 2013 onward. But that is not all. What they kept, they selectively edited to serve a narrative that was not served by the raw transcripts of the interviews. A description of thousands of commercial routers in a workplace, reduced to the Wi-Fi in your house. My own acknowledgment, multiple times, that "I'm not a scientist" clipped in an episode that spends considerable energy pointing out that I am not a scientist. And a qualification I volunteered about my own measurements, cut from my answer and delivered later by their EMF expert as a correction. Together their edit produce a portrait of a wellness guy with Wi-Fi phobia and two bad studies, backing away from his theory the moment a “real” scientist looked at it. A practice facility where nothing changed because no new substation was built. Injuries written off as random because the 49ers were not quite the single most injured team in the league over the period in question. That portrait is false even though almost no individual statement made in the episode is. Draw your own conclusions At the top of the episode, Pablo Torre says his show had been flooded with requests to investigate the substation — that it was the thing they were asked to look into over and over again. Neither show went hunting for this story. It arrived from their own audience, in volume, and it could not be waved off. A thread I posted on X reached twenty-two million people. A guy with a gaussmeter and a brand-new Substack obligated a Pultizer prize winning program to spend an hour on a question about player health, that is considered fringe enough that most media operations won’t touch it. Pablo Torre Finds Out could not ignore it. So Science Vs came in and ran a “debunking” operation instead of an investigation. Everything below is what had to be left on the cutting room floor to deliver the “debunking”. They could not ignore it. So they tried debunked it instead. The demand was strong enough to force an episode, and since the episodes release the 49ers have sustained more injuries, including season ending ones, and interest has only grown. Demand from fans and playets is strong enough to force a better investigation from someone else. An omission is not a lie until you find out what was omitted. What follows is the detailed record so you can see the full picture. Draw your own conclusions. I have drawn mine. I am going to keep publishing. A note about Pablo Torre Finds Out After the episode aired I posted publicly, calling out Pablo Torre Finds Out for concerns I had about the integrity of their investigation, and about an interview directly with Pablo Torre which had been offered but never happened. I have since spoken with a producer at PTFO. The offer had rested on a misunderstanding about where things stood between us, and it fell away as the Science Vs part of the production widened past the science. He apologized for the miscommunication and I accepted. The producer also confirmed to me that they did essentially hand off the entire investigation to Science Vs for narrative purposes — so Pablo would be genuinely curious or potentially surprised by their findings — while still taking responsibility for what went out under their name. I appreciated the candor and the accountability, and I am comfortable with where we left things. So this post is not about PTFO. My disagreement is with Science Vs. What they left out about childhood leukemia Childhood leukemia appears at three milligauss. They gave no number at all. 1. They built an EMF ruler, then discussed childhood cancer without it. The sequence on air went like this: First I measured almost 9 mG, then I measured up to 50 milligauss. Torre reacts with concern — “that sounds high.” Cut to Karipidis: the public limit is 2,000 milligauss. Torre reacts again — “What happens at 2,000?” Karipidis explains that nothing happens at 2,000, that safety factors are built in. Then: at more than 50,000 milligauss you get flickers of light in the retina, and higher still, nerve stimulation. The listener now has a ruler (their ruler) to measure these numbers with. Fifty is nothing by their ruler. Then the episode turns to childhood leukemia and states, accurately, that there is a real association — but tellingly, they never give the exposure level at which that association appears. Childhood leukemia appears at three milligauss. They conveniently left that out. The pooled analyses that produced the World Health Organization’s carcinogen classification found roughly a doubling of childhood leukemia risk above three to four milligauss. That is the number that belongs in that segment, and it is more than ten times below the reading that had just been dismissed as trivial. I gave them that number myself, on tape, in the interview. Describing my own threshold, I said my comfort level for long-term chronic exposure is three to four milligauss, but preferably one. 2. Six children in thirteen million. The episode reports that these fields might explain one to four percent of childhood leukemias, then reframes it as a German estimate of perhaps six cases among thirteen million children. Torre, to his credit, is uncomfortable. What never gets explained is why that number is small. Almost no children lives above three milligauss in Europe. Fewer than two children in a hundred, in the Italian data. So even if the risk to those children doubles, the number of additional cases across an entire country stays small — not because the hazard is small, but because hardly anyone is exposed to it. Count the whole population and the few who are exposed disappear. And the reason hardly anyone is exposed is that siting rules keep housing away from transmission lines. In Europe, at least. The Dutch government has a standing precautionary policy against building new homes in any zone where the annual average magnetic field exceeds 4 milligauss — the same number the episode never mentioned. Denmark and Norway treat 4 milligauss as the level that triggers a look at mitigation. That is five hundred times below the ICNIRP figure quoted on air. The United States has no federal equivalent. That is evidence of infrastructure siting policy working. It is not evidence that there is no hazard. It is evidence that we already act as though there is one. If you listen to the raw audio you will hear that my proposed solution is EMF exposure is to build better infrastructure. What they left out about the mechanism 3. They accused me of cherry-picking, and then cherry-picked themselves. On air, Zukerman tells Torre that people who worry about electromagnetic fields dismiss the studies showing null results and collect the ones showing harm, and that this is why you have to be careful not to cherry-pick. They had two papers I had rattled off in a hurry, and a second email containing a carefully chosen set. They ran the two weakest, graded them on air, and presented the result as the state of the evidence for not only my theory, but the whole question of oxidative stress from magnetic fields. That is cherry-picking from my emails. The bigger picture is what they did with the literature as a whole. Zukerman acknowledges it exists, dismisses it, and disposes of it in a single stroke. You can go online right now, she tells Torre, and find scores of studies showing these fields increase oxidative stress. The issue, she says, is that they are not studies in people. Many of them are in people. The occupational studies in my second email are in people. That email had been in her inbox for five weeks. She waved off the literature on a factual claim that the documents in her possession contradict. (I have written separately about the evidentiary standard at work here). The effect was that they essentially baited me: ask the subject to supply the evidence, take the weakest thing he sends, and let that stand as a proxy for the whole argument. Wendy has been doing this show for ten years and clearly knows how to extract what she needs for her desired narrative. 4. They presented the collagen-improvement research as a gotcha, but I had already addressed it. The episode treats the existence of studies showing that EMF can improve collagen as a surprise that undercuts me, but I had pre-emptively addressed that five weeks earlier in the email they ignored. Those studies use measured, high-intensity pulsed dosing. The mechanism by which they work is oxidative signalling. The cell reads a controlled rise in reactive oxygen species as a warning, upregulates its antioxidant defenses, mounts a repair response, and the therapy stops before the system is overwhelmed. The key point is that it induces an oxidative response, which means those studies are actually evidence for my proposed mechanism, not against it. A field that produces a therapeutic effect cannot be biologically inert (which is the implication when they say “Nothing happens at 2,000 milligauss). Chronic ambient exposure is the same pathway with no off switch, and it is most consequential during the evening and while sleeping, when the body is in repair mode and the exposure does not stop. Section 5 of my email is titled What about the study showing improved collagen synthesis. I raised the counter-evidence myself, explained why I did not think it refuted the theory, and wrote that I was disappointed the question had not come up in the interview. That is worth holding against the cherry-picking charge in the item above: the studies they presented as inconvenient for me were studies I had gone out of my way to put in front of them. 5. Section 1 of my email stated a critical argument that was never put to the expert directly responsible for it. My email says the exposure limits exist to prevent acute effects and do not address chronic exposure at all, and that my dispute is with the entire framework. Zukerman gestures at this once. After Karipidis gives the 2,000 milligauss figure, she tells Torre that I would object because those levels do not capture “more subtle effects.” That is not my argument, and “subtle” is doing a lot of work here. My argument is that the limits are built to prevent acute effects — nerves firing, muscles twitching, etc — and were not designed to address chronic exposure at all. In fact, ICNIRP’s own documents state as much themselves. Mine is a structural objection to what the standard measures, reduced as a concern about subtlety, it becomes a matter of degree, rather than a categorical difference. They interviewed Ken Karipidis, vice chair of ICNIRP — the body that writes those limits. He was asked what the limit is, but he was never asked how it applies to chronic exposure. The scientists Science Vs interviewed and did not air 6. They interviewed four officials of the standards body. The episode credits roughly a dozen researchers. Four of them are associated with ICNIRP. Ken Karipidis is the vice chair. Rodney Croft chaired ICNIRP from 2020 to 2024 and led the development of its current guidelines. Dan Baaken is ICNIRP’s scientific secretary. Frank de Vocht sits on the Main Commission. One of them speaks in the episode. Their institution’s position is more than adequately represented — the 2,000 milligauss figure, the safety factors, the assurance that nothing happens below the line. 7. The four who were left out. Dr. Beatrice Golomb is Professor of Medicine at UC San Diego — a physics undergraduate degree, a PhD in biology, an MD. She directs a research group whose stated focus is the relationship between oxidative stress, mitochondrial function and health. That is the mechanism the episode spent its first half dismissing. Her published work includes the fluoroquinolone case series behind the FDA’s black box warning on an antibiotic class that ruptures tendons, where the accepted mechanism is oxidative stress and mitochondrial toxicity — the back half of my chain, already on a drug label. She is in the credits. She is not in the episode. She has told me she finds my theory biologically plausible, and that she has a recording of her interview. Dr. David Carpenter directed the Institute for Health and the Environment at the University at Albany for decades and is the most prominent academic voice arguing these fields cause harm. Childhood leukemia is the reason these fields carry a WHO classification at all, and Carpenter is the person you call if you want that case made by someone who has spent a career on it. He is in the credits. He is not in the episode. He has told me that when he was interviewed they could not have been less interested in what he had to say. Dr. Joel Moskowitz directs the Center for Family and Community Health at UC Berkeley’s School of Public Health. He told me directly that they interviewed him and that he thought it went well. He does not appear in the episode, and unlike Golomb and Carpenter, he does not even appear in the credits. Dr. Paul Héroux at McGill is the researcher whose work provides the foundation for the oxidative stress mechanism my theory rests on. I gave Rose his email address and phone number. He was never interviewed. They never even called him. 8. “He’s not a scientist.” The episode leans hard on the fact that I am not a credentialed scientist. Zukerman says it. Torre repeats it. “At all.” Having built a segment on that, they then left out the physicist-biologist-physician, the professor of public health, the director of a university environmental health institute, and the McGill researcher whose work the primary mechanism comes from. They spent the episode telling their audience I am not a scientist, and then kept four actual scientists who support the theory off because their argument does not survive otherwise. How they misrepresented me and my case 9. They played my words as a response to an interview I had never heard. Near the end of the hour, Zukerman says she went to me and told me the evidence was lacking. Then she plays me saying I am not wedded to it being an EMF, that I have staked my reputation on it needing more study, and that I am not certain of anything. That segment was placed immediately after Karipidis had finished taking the cherry-picked papers apart. It plays as a man folding under expert scrutiny. Commenters have used it against me since, but it is incorrect. Here is the sequence as it happened. I was interviewed. Karipidis was interviewed weeks later. I was never told what he said, or even who he was. I was never asked to respond to it. I did not know his name until the episode aired. That is not a simple editing decision. That is a quote from one interview, moved to follow a critique from a different interview it was not a response to, so that it would land as a concession. A friend of mine who has spent thirty years as a journalist read that sequence and called it sleazy. She is right. The full passage is reproduced in Appendix A, and it is worth reading. What airs is the preamble. Four paragraphs later I say “to directly answer your question” — and that answer, about what would change my mind if the team relocated, is not in the episode. Neither is the sentence two paragraphs on, where I say the EMF might turn out to be ten percent of the problem. I will say the underlying point again, though, because I meant it and I still do. I am not wedded to my theory that magnetic fields from the substation are contributing to the 49ers injuries. I could be wrong. What I am wedded to is the process of scientific inquiry, and the fact that we should be cautious around these exposures and we need more independently funded studies. 10. Three telling edits. They cut “I’m not a scientist” mid-sentence. What I said: “...and I am not certain of anything. I’m not a scientist. To me, I find the mechanisms compelling. I will go back to the fact that I got into this not because of the 49ers, but because of clients I was working with who suffer from EDS...” What aired: “...and that I am not certain of anything. I’m not.” The clip ends on the first two words of the sentence in which I say I am not a scientist, in an episode that spends considerable energy establishing that I am not a scientist. The full sequence is in Appendix A. They cut my own description of my work. Asked what I do, I said I run a wellness business, that I am focused on writing software to help people navigate environmental stressors, that environmental health is my focus, and that I also do independent journalism and research. What aired is the wellness business and the environmental health, with the software and the journalism removed from my own answer. The software engineering does come up later — narrated by them, as a hacker who grew up to write firmware — but my current work, in my own words, arrives as “wellness guy.” Thousands of commercial routers became home Wi-Fi. What I described: working at a wireless networking company surrounded by thousands of Wi-Fi routers, and a stress-induced health collapse afterward that working in that environment contributed to. What aired: Wi-Fi, the kind you have at home — reinforced by a clip of Christian McCaffrey talking about turning his router off at night. Three cuts, and every one of them makes me seem less credible. That is not a coincidence. 11. I gave them my own caveats and the test that would disprove me. In the first email I wrote that a well-designed chronic, ambient-level exposure study in tendon showing no collagen degradation, run over many months, would undercut my confidence in the theory. That is a specific, testable condition, stated in advance and in writing. There was a second interview, weeks later, which was not used in the episode, but in that I asked again for the falsification criterion to be included. What the episode presents instead is a man saying “we need more study,” which reads as a hedge, an open-ended request for the benefit of the doubt. It is the opposite of a hedge. Section 6 of my second email says, unprompted, that as far as I am aware there is not a single study showing EMF-driven oxidative stress degrading collagen in a human in vivo or in human tendon in a lab. I wrote that because it is true and because it is the first thing anyone should check. Under their standard it becomes the hinge of the entire first half, framed as something they had to surface without my cooperation. I had handed it to them five weeks earlier. And in the interview I said that my 25 to 50 milligauss readings were taken at knee level, and that these fields attenuate quickly, so by the time it reaches your head it is not that high anymore. That did not air either. The qualification arrives later, from Karipidis, as a correction. How you would actually study the injuries 12. They measured the wrong thing. The episode spends its final act on whether the 49ers are the most injured team in the NFL, finds no clean ranking, and lands on “injuries are random”. That is the wrong test. You would define the exposure — measured field levels at the facility — and the outcome narrowly: soft-tissue injuries, not a single MSK injury count that a broken finger and a ruptured Achilles both land in. Then you would compare the 49ers to themselves before and after the exposure changed, and compare that change against every other team over the same window. That controls for league-wide shifts in rules, turf and training load. It is a difference-in-differences design, and it is standard. I sent them that argument on July 28th, in writing, along with the fact that in eleven of the past twelve seasons the 49ers had finished top ten in Adjusted Games Lost. And by the episode’s own reporting, the 49ers are second in games lost to injury over the past decade, with FTN’s Aaron Schatz confirming that once you adjust for starters they come out second worst in the league — after having been one of the healthiest teams for years before that. A finding like that is where an investigation starts, not where it stops. 13. I did a lot of substation research for the episode that was never aired. I had reported that the substation next to the facility was expanded in 2014. That was wrong, and Rose Rimler and I sorted it out together. They gave me credit on air, which I appreciated, but framed it as a concession on my part to something they had found. In fact I had been investigating it myself, was uncertain before they asked, but was waiting for clarification from Silicon Valley Power. The uncertainty centered around a substation named “Esparanca” that was proposed right behind the facilities as part of the stadium construction, but now appears to never have been built. I spent days in Silicon Valley Power’s records, and did eventually reach Silicon Valley Power for confirmation and indentified the mistake myself. I also gave them highly detailed documents on what we do know about those facilities: new equipment installed between 2010 and 2014, and load growth across the system with an inflection around 2013–2014, with the Northern Receiving Station carrying the highest capacity in the system and sitting closest to the data center corridor. None of that is in the episode. I have a separate piece about it coming out soon. *I cut 2 seconds from the raw audio to remove personal information that had no connection to anything in the episode. Appendix A: the passage the clip was taken from This is the sequence from my first interview, in full. The episode uses one fragment of it. It’s tricky because my understanding is that there’s something like a 15-year half-life on collagen remodeling issues. They’re going to get a new crop of players. What I really need, though, is for the injuries to be broken down so we can see the soft tissue injuries. Right now, they’re categorized as MSK injuries, but let’s say we can actually identify them more specifically. Is that right? He was able to do that? Oh, cool. I wasn’t able to find that information. Interesting — I didn’t know that data existed. I tried so hard to get it, and I didn’t know it was available. Maybe you could connect me with that person. That would be amazing. I’m not wedded to it being an EMF, honestly. I’m not. I would say that, to a certain extent, I’ve staked my reputation on the fact that it needs more study. It’s important to look into it, and I am not certain of anything. I’m not a scientist. To me, I find the mechanisms compelling. I will go back to the fact that I got into this not because of the 49ers, but because of clients I was working with who suffer from EDS, Ehlers-Danlos Syndrome, a tendon hypermobility issue. This condition is documented to be partially caused by oxidative stress. I’ve worked with them to mitigate their EMF exposure and have seen people improve. I think it’s a bigger story. In a way, the 49ers represent an occupational cluster with specific exposure risks. If someone would conduct a study on this, I believe we could learn a lot. Perhaps we would discover that it’s like, okay, maybe it’s 10% of the problem. I don’t know the exact number, but I think either way, conducting the study would provide valuable insights. To directly answer your question, it’s challenging for me because it’s part of a bigger story. If the 49ers move and stop having injuries, I might conclude that it was related to the substation. However, if they move and still experience injuries, I would want to analyze the nature of those injuries. Are they primarily soft tissue injuries? I don’t think it’s necessarily a case closed, but the story might lose traction at that point regardless. Three things are worth noting. The aired fragment stops immediately before the sentence in which I say I am not a scientist — the cut described in item 10. It also stops four paragraphs before the words “to directly answer your question.” What the episode plays is the throat-clearing. The actual answer, about what would change my mind, never airs. And two paragraphs in, I say the EMF might turn out to be ten percent of the problem. That is the ranking the episode says I never gave. Appendix B: the full email, July 6th, 1:39 PM Hi Rose, You asked me to send you some studies a couple of weeks ago. I apologize for the delay. I have been incredibly busy. I also wanted to give you a chance to dig in yourself, and get your own perspective before I influenced you too much with mine. That said, I do want to make sure that the actual argument is abundantly clear, so here it is! One note before I begin, there are really two separate questions here: Does the substation cause the soft-tissue injuries? That was my specific claim, and what the podcast is about. Is the theory biologically sound? Can 50/60 Hz fields at these levels do anything biological below the safety limits? Question two is why people have been calling me a conspiracy theorist. The regulatory and advisory bodies (ICNIRP, etc) maintain that anything below their exposure limits is biologically inert, and that position is broadly accepted within the mainstream, but the actual science paints a different picture. To defend my theory I’ve had to defend a much larger claim: that the advisory bodies have the biology wrong. I can’t honestly answer question 1 without first addressing that. Here’s is a simplified outline of my theory, with links to studies: 1. Advisory body thresholds for biological effects The ELF magnetic-field limits (ICNIRP’s ~2,000 mG public / 10,000 mG occupational) exist to prevent acute effects from exposure. If a magnetic field is strong enough, it makes nerves fire and muscles contract. Muscles twitch. You can see faint flashes of light in your vision. People can even feel tingling or even a shock. That happens due to Faraday’s law, which states that a time-varying magnetic field induces an electric field inside the body via the creation of Eddy currents.The standards assume that those currents do nothing below the twitch threshold. They do not consider chronic effects at all. My argument is that they are biologically active and do have chronic effects. 2. There are multipe ELF-EMF mechanisms for inducing oxidative stress. This is basic biophysics. Below are the two primary mechanisms. Simplest first. Dr. Paul Héroux of McGill has the most intuitive explanation, which rests on Maxwell’s principle of superposition: because Maxwell’s equations are linear, two sets of electromagnetic waves sharing the same space simply add together. In the interview I pictured a pebble dropped into a pond, sending out clean ripples. Then a boat motors past at distance, sending larger waves, and where they meet the ripples, the two add together and the original pattern gets distorted. In our cells, the mitochondria run on continuous currents of electrons and protons that carry their own faint electromagnetic fields. An external field from a substation, by the principle of superposition, adds to those internal currents and shifts the pattern. The electron transport chain in the mitochondria leaks a fraction of its electrons by design as reactive oxygen species (ROS), which act as signalling molecules in a healthy cell. Distorting that field increases that electron leakage, creating oxidative stress. A tiny electromagnetic interference results in a large downstream effect. https://www.sciencedirect.com/science/article/pii/S2405844025006474 The more complex pathway is Dimitris Panagopoulos’s Ion Forced-Oscillation / Voltage-Gated Ion Channel (IFO-VGIC) mechanism. Weak, polarized, low-frequency fields force the ions (calcium, potassium, sodium) next to an ion channel’s voltage sensor to oscillate; because that force scales with the inverse cube of the distance involved, fields far below the stimulation threshold can still force the channel open, disrupting the cell’s ion balance and driving ROS overproduction (Nitric oxide and superoxide interact and produce peroxynitrite, a highly unstable cytotoxin that breaks down into free radicals). https://www.researchgate.net/publication/366088934 https://www.spandidos-publications.com/ijo/59/5/92 https://www.mdpi.com/1422-0067/22/18/10041 https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1585441/full https://pmc.ncbi.nlm.nih.gov/articles/PMC3772193/ 3. Evidence of oxidative stress, in vivo, in humans from ELF-EMF There are many studies, and the strongest are occupational, which applies to the 49ers situation. 115 power-plant workers vs. 145 office controls. Serum malondialdehyde (MDA, the standard lipid-peroxidation marker), superoxide dismutase, and catalase were all significantly higher in the exposed group, and the markers rose with increasing field exposure. https://journals.sagepub.com/doi/abs/10.3233/WOR-203244 A follow-up where they reversed the oxidative stress in power plant workers. A double-blind randomized controlled trial: 91 power-plant workers given vitamin E, vitamin C, both, or placebo for 90 days. The antioxidant groups showed reduced lipid peroxidation and raised antioxidant capacity versus controls. https://pubmed.ncbi.nlm.nih.gov/32191586/ A spot-welder study: 46 welders occupationally exposed at 50 Hz, showed significantly altered red-blood-cell antioxidant enzyme activity and concluded ELF-MF “might act as an oxidative stressor… even at the recommended levels of exposure.” https://pubmed.ncbi.nlm.nih.gov/18504600/ A substation-specific study found oxidative stress and DNA damage https://pubmed.ncbi.nlm.nih.gov/24460415/ 4. Oxidative stress degrades collagen This half isn’t controversial at all. Oxidative stress activates the matrix metalloproteinases (MMPs) that break collagen down and suppresses its synthesis. Here are three example studies: Siwik et al. 2001: Oxidative stress raises MMPs and lowers collagen synthesis in cardiac fibroblasts. https://pubmed.ncbi.nlm.nih.gov/11121376/ Fisher et al. 2009: Collagen fragmentation drives oxidative stress and elevates MMP-1 in aged human skin. https://pmc.ncbi.nlm.nih.gov/articles/PMC2631323/ Varani et al. 2006: Decreased collagen production in oxidatively aged skin. https://pubmed.ncbi.nlm.nih.gov/16723701/ 5. What about the study showing improved collagen synthesis I’m glad you asked this question, and I’m bummed we didn’t get to it in the interview because it is a great question, and very important to understand. Superficially it may appear to be a refutation of my theory, but I would argue that it actually supports the underlying argument. That study used a short, high-intensity pulsed dose: therapeutic-PEMF, the same type of field used clinically to stimulate bone and tissue healing. The reason this works is because it triggers the very same biological pathways that can lead to oxidative stress. The exposure still stimulates ROS production, but done at a controlled dosage, for a limited duration it has a different effect. The cell reads the ROS as a warning signal and it upregulates its antioxidant defenses, and mounts a repair/proliferation response. The therapy is then stopped before the cell gets overwhelmed. That is essentially a hormetic response: a small dose of a stressor producing a beneficial adaptation. Two things follow: At the very least, this means the field is biologically active, which by itself undercuts the regulatory claim that these fields are inert below their thresholds. There is a wealth of literature on PEMF (pulsed EMF) bone regeneration and calcium channel signalling (which is the second mechanims in section one). Here is one. https://www.nature.com/articles/srep13856 At best, it leads us straight to my actual concern, which is that under chronic, chaotic and unregulated exposure, the cell’s antioxidant capacity gets overwhelmed, resulting in oxidative stress. There are plentiful examples of things that are beneficial at controlled doses, but harmful at uncontrolled doses. Excecise is one obvious, uncontroversial example. Botox is perhaps a more interesting example. 6. What about a study that shows EMF causing collagen degradation in humans? As far as I am aware there is not a single study showing EMF-driven oxidative stress degrading collagen in a human, in vivo, or in human tendon in a lab. There are studies involving isolated fibroblasts though, which secrete collagen. The most relevant one showed that human fetal scleral fibroblasts exposed to 50 Hz ELF-EMF showed a significant decrease in collagen synthesis and that MMP-2 expression was upregulated, which is the exact mechanism I described in section 2. https://pmc.ncbi.nlm.nih.gov/articles/PMC3626379/ That’s it! Thanks again for the interview. Best, Peter Anthony Cowan Environmental Health · Wellness Tech · Researcher & Journalist Publisher & Editor, Living Energy Bio: petercowan.comSocial: X · Instagram · TikTokApp: sunlightis.lifePhone: [redacted]
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Truth and Politics in the Age of Post-Truth
Get E-International Relations delivered to your inbox, free of charge. As you sign up, consider becoming a paid subscriber, or make a donation, to support our work. Subscribe This is an excerpt from Global Politics in a Post-Truth Era. You can download the book free of charge from E-International Relations. The term post-truth is by now so ubiquitous in describing the state of politics in the Western world and even beyond that the most pressing issue of the day appears to be about making democracy work in the era of post-truth rather than questioning the normalisation of the term itself in the first place. The critical turning point appeared to have occurred in 2016 when the term was chosen by the Oxford English Dictionary as ‘The Word of the Year.’ On its website, the Dictionary notes the transformation of post-truth from ‘being a peripheral term to being a mainstay in political commentary and connects ‘the spike in frequency’ directly with the Brexit referendum in the United Kingdom and the election of Donald J. Trump in the United States – both occurring in 2016. Paired with the noun ‘politics,’ post-truth is defined as an adjective ‘relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief.’ The Oxford English Dictionary traces the first use of the term to a 1992 essay in The Nation by the playwright Steve Tesich as he reflected on the 1980s Iran-Contra scandal and the 1990–91 Gulf War: We are rapidly becoming prototypes of a people that totalitarian monsters could only drool about in their dreams. All the dictators up to now have had to work hard at suppressing the truth. We, by our actions, are saying that this is no longer necessary, that we have acquired a spiritual mechanism that can denude truth of any significance. In a very fundamental way we, as a free people, have freely decided that we want to live in some post-truth world (Tesich 1992, 13; emphasis added). He then continued, The Gulf War is over but the war at home goes on. The gulf between rich and destitute widens – between those of us who live in a modern post-industrial nation and those of us who live in the Third World countries of our inner cities. The present administration’s response to this internal crisis has shifted from benign to malignant neglect. The current levels of misery and decomposition of our cities and the economic gulags of our ghettos are acceptable. Since there is only so much hope to go around, there is a freeze on hope. The have-nots have now been reclassified as never-will-haves (Tesich 1992, 13). In the context of Tesich’s essay, truth includes both facts, as in what happens, and ‘moral absolutes,’ as in the ‘self-evident truths mentioned in our Constitution’ (Tesich 1992, 14). Together, these two notions of truth entail the obligation to both act and react. The two passages cited above show that even in the early post-Cold War years, Tesich was already deeply concerned that the American people are neither prepared to act on truth nor react to truth that is disconcerting, or what he calls ‘bad news’ (Tesich 1992, 12). Accordingly, Tesich’s insight as captured by the term post-truth is not that truth is irrelevant to what we know, but rather it is irrelevant to how we act. In contrast, ‘post-truth politics,’ as defined by Oxford as a term that pitches ‘objective facts’ against ‘emotion and personal belief’ such that the latter appears to have overtaken the former in shaping ‘public opinion’ and thereby, democratic politics. When Tesich’s post-truth politics and its current usage are juxtaposed, the two are in fact not identical in terms of what truth is and how it relates to politics. Against such consideration, this chapter provides a critical survey of selected historical events and theoretical considerations for the purpose of gaining a more nuanced understanding of the relation between truth and politics. Truth and Language One notable impact of post-truth politics is that language is being overtly deployed as a political weapon not only by politicians and those in power, but among the general population. It seems that once facts are irrelevant to the validity of what is being said, language becomes the platform for an all-out political contest in which what is said is no more than an act of will expressed as an assertion of power and/or an exercise in defiance. As early as in the writings of Thucydides (460–400 BCE), the vulnerability of logos – which is the human capacity for rational discourse in tumultuous times – was already noted. Thucydides belonged to a school of Greek thought which maintained that language is conventional and that the association between name and things is a result of ‘human use and habit’ rather than ‘nature or divine dispensation’ (Connor 1984, 99). The conventional nature of language means that it is incapable of providing its users with any independent criteria for judgement. In Thucydides’ study of the Peloponnesian War (431–405 BCE), the subversion of logos as seen in the manipulation of language was introduced through his account of the civil war in Corcyra (Thucydides 1972, 236-245). The war first broke out in 427 BCE between the pro-Athenian democratic faction and the pro-Spartan oligarchic faction before it spread to the rest of the Greek world. There was a general breakdown of law and order, resulting in extreme violence and death. Language underwent changes that were reflective of the events of the time. The English philosopher Thomas Hobbes (1588–1679) translated Thucydides’ description of the situation as follows: The received value of names imposed for signification of things, was changed into arbitrary. For inconsiderate boldness, was counted true-hearted manliness: provident deliberation, a handsome fear: modesty, the cloak of cowardice: to be wise in everything, to be lazy in everything... he that had been so provident as not to need to do the one or the other, was said to be a dissolver of society, and one that stood in fear of his adversary. In brief, he that could outstrip another in the doing of an evil act, or that could persuade another thereto that never meant it, was commended (Hobbes 1839–1845, 8: 348; Thucydides 1972, 242-243). What concerned Thucydides most was that the meanings of words are no more than linguistic conventions that require logos to support them. The Corcyrean civil war was a reminder that such capacity cannot be assumed. This is why history understood as an authentic account of what happens matters. Guided by logos, the historian’s task is ‘the search after truth’, which is established through ‘the absence of the fabulous,’ including ‘the rejection of myth and unverifiable stories’ (de Jonge 2017, 2). Thus, history plays an important role in facilitating the stability of language – without which distinctions and judgements cannot be rendered communicable. Just like Thucydides, Hobbes was a nominalist who subscribed to the view that there is no inherent meaning to words. Hobbes’ state of nature, where there is no common authority, is precisely one in which distinctions cannot be made. As Hobbes put it, there is ‘no Mine and Thine distinct’ nor is there distinction between ‘the notions of Right and Wrong, Justice and Injustice’ (1968, 188; emphasis in original). This is clearly an unsustainable condition for everyone. Behind Hobbes’ famous words that life in the state of nature is ‘solitary, poor, nasty, brutish, and short’ is his uncompromising argument for the ‘Leviathan’, which is described by the late American political theorist, Sheldon Wolin (1922–2015), as the ‘sovereign definer’ (Hobbes 1968, 186; Wolin 2004, 238–243). Accordingly, the social contract is importantly a ‘linguistic contract’ that binds all parties to ‘general names agreed upon’ (Peters 1979, 125; Hobbes 1968, 111). Through Thucydides and Hobbes, we can identify a line of thinking that sees politics as a contestation over the use of language, which is based on shared conventions and norms. Thus understood, politics is not a collective quest for the true nature of our being or an epistemological exercise in pursuit of true knowledge. Rather, politics is about humans living with one another by finding a shared language to communicate with one another on matters that affect them all. Truth is in that sense contingent on what is being said as opposed to setting the standard for it. In other words, truth is the embodiment of shareability among us. While truth as such ensures the viability of a political entity, truth by no means represents a normative standard to adjudicate among contesting actors in what they say, let alone in what they do. During Thucydides’ times, ancient China was also experiencing a tumultuous time as the ruling Zhou dynasty deteriorated into the period of the Warring States (481–221 BCE). This was when the rulers of Zhou no longer presided over the territories brought under its control through conquest. Instead of professing allegiance to the Zhou royalty, the lords of these territories became kings themselves to rule over their own land. The period was one marked by endless military campaigns as each of the seven major states aimed to conquer the rest (Lewis 1999). Yet, the period was also known for its intellectual vibrancy as different thinkers challenged the restoring of order among these warring states – including offering ideas and advice to rulers on good governance. Among these thinkers was Confucius (551–479 BCE). His thought, which came to be known as Confucianism, went on to become the state ideology of China from the Han dynasty (206 BCE–222 CE) until the end of the Qing dynasty in 1911 when China became a republic. The founding text of Confucianism was the Analects, which is a collection of dialogues between Confucius and his students as recorded by them. One key concept Confucius advanced is the ‘rectification of names’. Though the term only appears in one exchange in the Analects, it is considered a major aspect of Confucius’ thought. Generations of Confucian scholars from past and present, including Western academics, have debated over its interpretation (Makeham 2003). The passage in question reads as follows: Zi Lu said: ‘The monarch of the state of Wei wants you to govern the country, what is the first thing you plan on doing?’ Confucius said: ‘First it is necessary to rectify the names.’Zi Lu said: ‘Is that really what has to be done? You are being too pedantic, aren’t you now? How will you rectify these names?’Confucius said: ‘Zhong You, you are too unrefined. A gentleman, faced with a matter that he does not understand, takes a skeptical attitude. If names are not correct, one cannot speak smoothly and reasonably, and if one cannot speak smoothly and reasonably, affairs cannot be managed successfully. If affairs cannot be managed successfully, rites and music will not be conducted. If rites and music are not conducted, punishments will not be suitable. And if punishments are not suitable, the common people will not know what to do. So, when the gentleman uses names, it is necessary to be able to speak so that people understand. If one can say it, one can definitely do it. A gentleman should not be careless with words’ (Analects 13:3 in Cao 2016, 148). This translation is offered by the contemporary philosopher Cao Feng. As Cao notes, the passage is what started the whole debate over ‘exactly what kind of names did Confucius... wish to rectify’ (Cao 2016, 148). Of the three major groups of interpretation examined by Cao, beginning with classical Confucian scholarship, one is arguably the most influential and certainly most pertinent to the issue of language and politics. This is the interpretation that was first associated with the Neo-Confucian master, Zhu Xi (1130–1200), who argued that the ‘rectification of names is simply the rectification of politics’ (Cao 2016, 149). Within this interpretive framework, rectification has the dual functions of correction and prescription by ensuring that predetermined hierarchical roles are strictly adhered to through following ‘the system of rites and propriety’ (Cao 2016, 151). In addition, the rectification of names entails ‘using names to rectify actuality’ (Cao 2016, 151). Yet Cao rejects this whole body of interpretive works by arguing that these were ideas developed later. Instead, Cao suggests the following: The original meaning of Confucius’ rectification of names may, then, be quite simple. Confucius did not mean to establish a concrete, normative system of “names”; rather, Confucius was simply the first person in history to realize or remark upon the importance of language in politics. As a politician, he noticed and foresaw the impact that the indeterminacy, ambiguity, and arbitrariness of names would have on politics. Confucius recognized the political consequences of language’s not accurately expressing meaning or not being accurately received by people. He realized the great role that names, as a means of distinguishing right and wrong and establishing norms, could play in society and politics (Cao 2016, 168). Scholarly debates aside, Cao’s view has the advantage of identifying an interpretation of this controversial exchange in the Analects that enables its readers to extrapolate from it the observation that the meaning of words depends as much on their users as on their interpreters; neither of which can be predetermined. Accordingly, a good ruler is someone who can speak without ambiguity to his subjects and make good his words through actions. Stated differently, Cao’s view on what concerned Confucius then, who was living through times of protracted political upheaval, is that language is an indispensable political tool for those in power and can be deployed by both good and bad rulers alike. To sum up, this historical survey shows that politics as a war of words is by no means a distinctive marker of contemporary politics nor the Western world. Be it ancient or current, east or west, language is subject to manipulation to serve political purposes and when there is an outright war of words that defies existing norms, it is indicative of a political situation in which people no longer share a language and truth becomes irrelevant. Accordingly, political order entails stability in language use. Truth and Politics As previously noted, current use of the term post-truth as an adjective to the term ‘politics’ suggests that once there was a time when politics aligned with truth. Indeed, if we start with Plato’s Republic as the key founding text of Western political thought, we see that the ideal polis (city-state of ancient Greece) is where truth and politics converge, and justice is achieved. Written around 380 BCE when Athens was still coping with its defeat by the Spartans in the Peloponnesian War, the Republic is a defence of the rule of the ‘philosopher king’, defined as someone who is ‘guided by the truth’ and is ‘always and in every way’ in pursuit of the truth (Plato 1974, 490a). For Plato, truth converges with virtues and hence, letting the philosopher take charge of politics is to let the wisest and the most virtuous lead the less wise and the less virtuous even if it requires compulsion (Plato 1974, 499b). In Plato’s words, ‘…until the philosophers attain power in a city there will be no respite from evil for either city or citizens…’ (Plato 1974, 501e). The uncompromising rule of philosopher-kings is made palatable by the claim that we are all ‘earth- born brothers’ with random mixtures of gold, silver, bronze and iron, but only the gold can rule (Plato 1974, 414–415). Understandably, academic debates over the interpretation of Plato’s Republic revolve around the question of whether truth as attained in philosophy can be realised in politics as action and whether such a connection is even desirable. Without getting into the details of these scholarly exchanges, I suggest that they all share the concern that truth acquired through the rigorous process of philosophical reasoning is not without problem when applied to the real world of living humans. This is because not all humans are philosophers – and indeed, in Plato’s view, not everyone is capable of becoming a philosopher given the protracted and arduous training that one needs to endure to become one. Hannah Arendt (1906–1975), a highly influential political philosopher of the twentieth century, notes that ‘Plato was the first to introduce the division between those who know and do not act and those who act and do not know’ and that such a separation has remained ‘at the root of all theories of domination’ (Arendt 1958, 223, 225). What Arendt points out in this remark is not the gap between theory and practice, but rather that Plato provides the normative ground for those who know the truth to tell those who do not know what to do. Arendt herself took on the challenge of understanding the relationship between truth and politics through her analysis of Nazism and Stalinism. Arendt’s insight, which was controversial when The Origins of Totalitarianism was published in 1951, was to identify Nazism and Stalinism as representative of a new form of political rule – totalitarianism – making it distinct from ‘other forms of political oppression... such as despotism, tyranny and dictatorship’ (Arendt 1973, 460). Arendt defines totalitarianism as a self- contained system of ideas driven by their ‘logic’ and marked by a mode of reasoning called ‘ideological thinking.’ Ideological thinking as such is a distinctive form of political reasoning defined by three characteristics. First, ideological thinking claims to provide a ‘total explanation’ of all historical happenings, encompassing the past, the present, and the future. Second, while ideological thinking is an attempt to account for ‘factual reality’ in its totality, this mode of thinking is paradoxically divorced from reality and experience. This is because experience, being rooted in specificity, is clearly limited in its claim to totality. It follows that as its third characteristic, ideological thinking aims to emancipate thought from the limitation imposed by experience through a ‘specific method of demonstration.’ The method involves arranging facts into an ‘absolutely logical procedure’ that starts from an ‘axiomatically accepted premise’. It is, in short, a ‘process of deduction from a premise’ – which is the only possible movement in the realm of logic that leads to one definitive conclusion. This is how the ‘logicality of ideological thinking’ provides the basis for total explanation and the ‘principle of action’ for totalitarian movement (Arendt 1973, 468–474). Stated differently, totalitarianism is a form of uncompromising idealism that exists in one’s head irrespective of shared reality as experienced. It is the perverse form of what Arendt later refers to as ‘rational truth’, which is the product of the ‘speculative mind’ that belongs to philosophy, mathematics and the sciences. The ‘speculative mind’ is the mind working on its way to generate axioms and theories by relying on the cognitive capacity of the human brain (Arendt 1977, 231). The presence of others has no bearing whatsoever on rational truth. In contrast, ‘factual truth’ is what happens when humans are ‘living and acting together’ (Arendt 1977, 231). Factual truth is therefore particular and temporal by definition. But more importantly, factual truth is ‘political by nature’ because it can only be validated in the context of the human community (Arendt 1977, 238). In other words, factual truth is about humans in their plurality rather than in their singularity. For factual truth to be sustainable, we need what Arendt calls ‘common sense’ – understood as ‘community sense’ (Arendt 1982, 72). There is also another distinction about truth that Arendt makes which is pertinent to understanding how totalitarianism works. The issue is whether the so-called totalitarian ideology is simply an unnecessarily cumbersome way of saying that it is an all-round and polished lie. Here, Arendt calls totalitarian ideology the ‘modern lie’ – in contrast to the ‘traditional lie’. The latter is restricted by two conditions: that it is a lie about the ‘particulars’ and that it deceives only the ‘enemy’ – which means that the liar is not engaged in self- deception. The modern lie, however, involves a ‘complete rearrangement of the whole factual texture’. It also intends to deceive everyone alike, to the extent that those who initiate the lie eventually ‘fall victims to their own falsehood’ (Arendt 1977, 249–254). This distinction between the traditional and modern lie is important. It indicates that not only is totalitarianism a lie, but the lie is in fact too big to fit into the standard meaning of the word. To tell a lie from truth, we need a common standard. In the case of a traditional lie, the common standard is precisely ‘the fabric of factuality’. As such, a lie always appears as a ‘tear’ to that fabric. Yet, modern lies require making a surrogate reality with a completely different context for facts to fit ‘without seam, crack, or fissure, exactly as the facts fitted into their original context’. Arendt notes that as long as those who concoct the surrogate reality are prepared to engage in self- deception to ‘create a semblance of truthfulness’, there is nothing to prevent ‘these new stories, images, and non-facts from becoming an adequate substitute for reality and factuality’ (Arendt 1977, 253–254). Totalitarianism therefore requires a person to stand outside of the system itself in order to make sense of it. Arendt points out that it is futile for us to argue with (for example) a Nazi or a Stalinist on race or class. To confront totalitarianism requires more than just a confrontation with specific facts. It is a more fundamental confrontation between reality as experienced and its total rejection. This means that Nazism and Stalinism are more than radical ways of conducting racial conflict or class struggle. Rather: Totalitarian politics – far from being simply antisemitic or racist or imperialist or communist – use and abuse their own ideological and political elements until the basis of factual reality, from which the ideologies originally derived their propaganda value– the value of struggle, for instance, or the interest conflicts between Jews and their neighbours – have all but disappeared (Arendt 1973, xv). Accordingly: The ideal subject of totalitarian rule is not the convinced Nazi or the convinced Communist, but people for whom the distinction between fact and fiction (that is, the reality of experience) and the distinction between true and false (that is, the standards of thought) no longer exist (Arendt 1973, 474). Who then is the ‘ideal subject’ of totalitarianism? Although there is a revival of interest in Arendt’s observation on truth and politics since the onset of post- truth politics, not enough has been said about her reply to the question (Hyvönen 2018; Klinkler 2018; Lee 2019; Zerilli 2020). Yet if we take a look at Arendt’s portrait of this ideal subject, her view is even more pertinent to our current challenge. As a self-contained system of ideas that is detached from experience, totalitarian thinking offers consistency in ways that reality cannot. Arendt notes that this kind of consistency is especially appealing to those who have lost a sense of bearing in the world (Arendt 1973, 353). They constitute what she calls the ‘masses’. The ‘mass man’ is thus a highly isolated and atomised individual, who is ‘obsessed by a desire to escape from reality’ (Arendt 1973, 318, 352). In his ‘essential homelessness’ the mass man can ‘no longer bear its accidental, incomprehensible aspects’ (Arendt 1973, 352). This longing for escape from reality is a ‘verdict against the world’ in which one is ‘forced to live’ but ‘cannot exist’ (Arendt 1973, 352). Such a situation is ripe for the ‘revolt of the masses’ against ‘common sense,’ which is ‘the result of their atomisation, of their loss of social status’ and with it, the ‘whole sector of communal relationships in whose framework common sense makes sense’ (Arendt 1973, 352). In short, the masses are people who are considered to be ‘superfluous or can be spared … [who] cannot be integrated into any organisation based on common interest’ (Arendt 1973, 311). Whether one agrees with Arendt’s analysis of the social conditions in the interwar years that led to the formation of the ‘masses’, her portrait of the ‘mass man’ is a powerful account of what can happen to an individual who has become disposable to the society that they used to belong to. Hand in hand with this phenomenon is indeed the collapse of ‘common sense’ that leaves the dislodged individual scrambling for reconnection. By offering the masses a substitute reality validated by the ‘logic of an idea’ rather than by experience, totalitarianism makes it possible for them to live in a world where there is no condition of plurality. Between ‘facing the anarchic growth and total arbitrariness of decay’ and ‘bowing down before the most rigid, fantastically fictitious consistency of an ideology’, the masses will likely ‘choose the latter’ (Arendt 1973, 352). A world created by ideology, then, is more attractive to the masses not because ‘they are stupid and wicked, but because in the general disaster this escape grants them a minimum of self- respect’ by conjuring up ‘a lying world of consistency which is more adequate to the needs of the human mind than reality itself’ (Arendt 1973, 353). Moreover, it is precisely this ability to guarantee consistency that makes it possible for the leaders of totalitarian movements to demand ‘total, unrestricted, unconditional and unalterable loyalty of the individual member’ (Arendt 1973, 323). While this chapter is not a study of the social factors that led to specific contemporary developments such as the result of the Brexit referendum or the election of Donald Trump in 2016, Arendt’s ‘mass man’ seem to have found their counterparts among the supporters of Brexit and Trumpism. Studies of voters’ profiles in both events point to a disproportionate share of supporters from white male lower income backgrounds without university educations. These are individuals who have either already lost their jobs to globalisation or who are at high risk of losing their job with very little capacity to be retrained for the twenty-first century market economy of advanced industrialised states (BBC 2016; Pew Research Center 2018). In short, these displaced workers are part of the tapestry forming the modern equivalent of Arendt’s ‘mass man’ – ready to be the recruits of totalitarianism. Conclusion If we step back to take a more comprehensive approach to the relationship between truth and politics, both historically and theoretically, it is not so obvious that 2016 is a defining moment. From ancient China and ancient Greece to our so-called post-truth age, the indeterminacy of language appears to be a persistent political challenge. Language is always open to manipulation by its users to serve power. Nonetheless, the tendency these days is to single out the ubiquity of social media and the proliferation of Internet platforms as the incubator for the countless cyberwars of words that in turn fuel the real world of politics. In this context, language is no longer the conveyor of objective facts and accurate information, but rather the medium for expressing subjective opinions and feelings, as captured by the Oxford Dictionary’s definition of the term ‘post-truth politics’. In contrast, the historical approach used in this chapter shows that it is in fact too easy to point the figure at the Internet and digital communication for the political challenge that we face today. What is being suggested here is that with or without the Internet, language, be it used to convey facts or emotions, is simply a tool for communication that humans have invented. While language per se cannot adjudicate what is true or not true, what is right or wrong, it embodies such capacity when language is a shared norm. That shared norm cannot be sustained without some semblance of cohesion in any given community. Any war of words, irrespective of its platform, is indicative of the breakdown of such cohesiveness. Returning to the original context in which the term post-truth politics was first used by Steve Tesich helps to identify the important distinction between truth as the standard for knowledge and truth as the standard for action. The two do not necessarily coincide. Placed in the context of the history of political thought, this distinction is in fact at the heart of Plato’s Republic. Yet when the philosopher as the quintessential bearer of truth becomes king, the polis that he rules over is far from the ideal of a just state that it purports to be. Instead, it is one that is held together by lies and coercion. What Arendt reveals through her study of Nazism and Stalinism is that it is dangerous for the kind of truth that philosophy generates – ‘rational truth’ – to become the guide to politics. Politics guided by rational truth can only be uncompromising and follows a logic of its own that cannot afford the ambiguity and indeterminacy of reality as lived experiences of humans. A world of post-truth politics can be an opportunity for a new kind of politics if it is indeed about dismantling the idea that truth is the ideal that politics should strive for. But as it stands, the post-truth politics of today is more about invoking a past that never exists to judge the presence as a crisis in naming when the real crisis is about rebuilding a shared space that has room for all – be they of the left, right or centre; cosmopolitan or parochial; civic-minded or self-centred; liberal-minded or bigoted. Politics is and always will be about striving for that space, without which no human can thrive. References Arendt, Hannah. 1958. The Human Condition. Chicago: The University of Chicago Press. Arendt, Hannah. 1973. The Origins of Totalitarianism. Rev. ed. New York: Harcourt Brace Jovanovich. Arendt, Hannah. 1977. “Truth and Politics.” In Between Past and Future, 227–264. New York: Penguin Books. Arendt, Hannah. 1982. Lectures on Kant’s Political Philosophy, edited by Ronald Beiner. Chicago: University of Chicago Press. British Broadcasting Corporation. 2016. “Brexit vote: The breakdown.” BBC News, December 7, 2016. https://www.bbc.com/news/uk-politics-38227674 Cao, Feng. 2016. “A New Examination of Confucius’ Rectification of Names.” Journal of Chinese Humanities 2: 147–171. https://doi-org.subzero.lib. uoguelph.ca/ doi/ 10.1163/23521341-12340032. Connor, W. Robert. 1984. Thucydides. Princeton: Princeton University Press. de Jonge, Casper C. 2017. “Dionysius of Halicarnassus on Thucydides.” in The Oxford Handbook of Thucydides, edited by Sara Forsdyke, Edith Foster, and Ryan Balot. Oxford University Press. DOI: 10.1093/ oxfordhb/9780199340385.013.17 https://www-oxfordhandbooks-com.subzero. lib.uoguelph.ca/view/10.1093/oxfordhb/9780199340385.001.0001/oxfordhb-9780199340385 Hyvönen, Ari-Elmeri. 2018. “Careless Speech: Conceptualizing Post-Truth Politics.” New Perspectives 26 (3): 31–55. https://www.proquest.com/ scholarly-journals/careless-speech-conceptualizing-post-truth/ docview/2204515132/se-2?accountid=11233. Hobbes, Thomas. 1839–1845. The English Works of Thomas Hobbes, edited by Sir William Molesworth. London: John Bohn. Vol. 8. Klinkner, Melanie. 2018. “Reasonable Truth.” International Journal of Media & Cultural Politics 14 (3): 393–99. doi:10.1386/macp.14.3.393_7. Lee, Haiyan. 2019. “When Nothing Is True, Everything Is Possible: On Truth and Power by Way of Socialist Realism.” PMLA/Publications of the Modern Language Association of America 134 (5). Cambridge University Press: 1157–64. https://doi.org/10.1632/pmla.2019.134.5.1157 Lewis, Mark E. 1999. “Warring States Political History.” In The Cambridge History of Ancient China: From the Origins of Civilization to 221 BC, edited by Michael Loewe and Edward Shaughnessy, 587–650. Cambridge: Cambridge University Press. Makeham, John. 2003. “Zheng ming (Rectification of names).” In RoutledgeCurzon Encyclopedia of Confucianism, edited by Xinzhong Yao. Vol. 2: 813-814. New York: Routledge. Oxford Languages, n. d. “Word of the Year 2016.” Accessed 19 August 2017. https://languages.oup.com/word-of-the-year/2016/ Peters, Richard. 1979. Hobbes. Westport: Greenwood Press. Pew Research Center. 2018. “An examination of the 2016 electorate, based on validated voters.” Report, August 9, 2018. https://www.pewresearch.org/ politics/2018/08/09/an-examination-of-the-2016-electorate-based-on- validated-voters/ Plato. 1974. Republic. Translated by G. M. A. Grube. Indianapolis: Hackett. Tesich, Steve. 1992. “Watergate Syndrome: A Government of Lies.” The Nation: 12-14. January 6/13, 1992. Thucydides. 1972. The Peloponnesian War. Translated by Rex Warner. Harmondsworth, England: Penguin Books. Wolin, Sheldon. 2004. Politics and Vision: Continuity and Innovation in Westen Political Thought. Expanded Edition. Princeton: Princeton University Press. Zerilli, Linda M. G. 2020. ‘Fact-Checking and Truth-Telling in an Age of Alternative Facts.’ Le foucaldien 6, no. 1: 2, 1–22. Theresa Man Ling Lee is an Associate Professor of Political Science at the University of Guelph (Canada). Lee is a political theorist who specializes in contemporary political thought. Her research and teaching areas include continental philosophy, Marxism and critical theory, feminism, postmodernism, philosophy of social science, psychoanalysis, multiculturalism, human rights, disability studies, modern Chinese political thought and comparative political theory. Lee has published on a wide range of subjects in these areas, including intercultural pedagogy and the challenges of teaching as a person with multiple minority designations in a Canadian university classroom.
Senphonix Receives National Science Foundation Grant to Advance SleeveSense, a Continuous, Long-Term Vitals Monitoring Platform
Senphonix, Inc., a medical-technology startup developing SleeveSense™, a wearable that will continuously monitor patients' vital signs over days, weeks, or months, today announced it has received a Small Business Technology Transfer (STTR) Phase I award from the U.S. National Science Foundation (NSF) through America's Seed Fund. The award supports engineering to strengthen the patent-pending device's wireless and radio-frequency systems and to move it from prototype toward a manufacturable produ
Weight loss surgery can improve reproductive health of women living with obesity
Metabolic bariatric surgery improves menstrual cycle frequency and symptoms of polycystic ovaries in women living with obesity, a new study from the University of Surrey reports.
Do black holes have hidden hair? Scientists find a new way to check
A team led by researchers from Nagoya University in Japan has found a way to check for black hole hair using changes in ringdown waves. They found that hidden matter does not affect these waves uniformly; the frequency and fade-out speed of the waves respond differently. This difference may show us if hidden matter is present, and how its pressure is arranged around a black hole. For spinning black holes, hidden matter affects ringdown differently, depending on whether the waves move with or against the black hole’s spin. Published in the Journal of Cosmology and Astroparticle Physics, the study tells us what pattern in the gravitational wave signal would be a clue that hidden hair is present and may help future observations tell a hairy black hole apart from an ordinary one.
Researchers create polar wurtzite nitride semiconductor NbAlN
Polar wurtzite nitride semiconductors such as aluminum nitride and gallium nitride underpin high-power and high-frequency electronics. Researchers have now achieved the first epitaxial growth of niobium aluminum nitride (NbAlN) on GaN while preserving its polar crystal structure. Used as a barrier layer, NbAlN increased the interfacial two-dimensional electron gas density from 5.1 × 1012 to 1.7 × 1013 cm−2, opening new possibilities for polarization-based materials design in future GaN electronic devices.
New research explores the frequency in which CMS devalues radiology services
“Variation in valuation adjustment rates and amounts may reflect factors such as specialty society influence, valuation methods and negotiation strategies,” experts write in JAMA Network Open.
Seoul National University of Science and Technology researchers explore how probabilistic analysis can help improve nuclear safety
Traditional approaches for designing primary coolant pipes in nuclear power plants consider highly unlikely, extreme scenarios. Estimating pipe rupture frequency is a more practical approach. In a new study, researchers investigated the pipe rupture frequency of coolant pipes using a probabilistic framework that accounts for material properties, degradation pathway, and even inspection performance, offering a risk-informed approach to design and evaluation.
A tiny “rainbow on a chip” could help supercharge 6G networks
Researchers have created a tiny chip that produces a stable “rainbow” of light capable of generating multiple high-frequency signals at once, potentially boosting the speed and capacity of future 6G networks. Its extreme precision could also make it valuable for quantum timing, navigation, radar, and even space-based technologies.
A deep dive into climate change
Some policymakers continue to question the science of climate change, despite the growing evidence of significant damage to life on land and in the ocean.Katja Matthes, director of the GEOMAR Helmholtz Centre for Ocean Research Kiel in Germany, believes the ongoing attempts to politicise climate science and discredit researchers are hindering international cooperation and public understanding. The ocean provides clear evidence of the extent to which changes are occurring, she says.“We are seeing severe, unprecedented and accelerating changes in the ocean — warming ocean temperatures, acidification and oxygen depletion — that are destabilising the most important system that makes life on this planet possible,” Matthes explains. Visible signs of these changes include the melting of ice sheets in the Arctic and Greenland. Deeper down, the growing frequency of hypoxia — or oxygen-deprived “dead zones”, where marine life can no longer survive — in the Baltic and record-high Mediterranean surface temperatures are indicators of the “dramatic warming” of the ocean, she adds.The ocean, which covers around 70% of the Earth’s surface, acts as a vital carbon sink, absorbing around 30% of the planet’s carbon dioxide (CO2) and 90% of the excess heat. However, the global ocean surface temperature has risen by an average of half a degree Celsius since 1982, according to the EU Copernicus observatory. More significant rises have been recorded in the Mediterranean, Black, Baltic and other shallower seas.Some ocean temperature increases do occur naturally, such as during El Niño events. But sustained rises can trigger extreme weather on land — including droughts, floods and catastrophic storms — while also harming marine ecosystems. Only 10% of marine species have been studied, Matthes notes, “so the consequences might be even more severe than we know.”Fostering European cooperation amid uncertaintyMatthes, who holds a doctorate in meteorology, is a professor of atmospheric physics as well as director of GEOMAR. She serves as one of Kiel’s ambassadors to Science Comes to Town (SCTT), an EU-funded programme that aims to promote science’s role in society and strengthen cross-border collaboration in research, innovation and sustainability. SCTT is hosted by the coastal cities of Kiel, Brest (in France) and Split (in Croatia).The SCTT project also provides a platform for raising awareness and understanding between scientists and the public about major issues, such as climate change. Having worked on both sides of the Atlantic, Matthes is frustrated by recent attempts to erode decades of international climate collaboration and question the credibility of research. Earlier this year, the US administration delivered a major blow to global cooperation by withdrawing from the Intergovernmental Panel on Climate Change (IPCC), the UN Framework Convention on Climate Change and other global climate organisations, claiming they were “contrary to the interests of the United States.”In addition, a US Department of Energy (DOE) report cast doubt on the latest IPCC climate assessment, which was published in 2024. As a contributing author to the IPCC study, Matthes says the DOE sought to discredit scientists like herself. “Climate change is not a matter of opinion, it really exists and we are witnessing dramatic changes,” she notes. “It’s not climate change as a whole that is being targeted, but scientists and their research.”Other US actions have also hit home for Matthes, who spent three years at the US National Center for Atmospheric Research (NCAR) in Boulder, Colorado. The White House has announced plans to close the facility, a move that was “pretty tough” due to the German scientist’s personal connections with the staff and their reputation for excellence.Changing the narrative on climate changeEurope’s scientific community remains a driving force on climate research and collaboration. As one of the world’s leading marine research institutions, GEOMAR attracts students from more than 50 countries and plays an important role in global observation initiatives that contribute to understanding and protecting the ocean basins. At a European level, GEOMAR works closely with other top marine research facilities, including France’s Ifremer, an SCTT partner in Brest. GEOMAR has also developed innovative and safe strategies for removing unexploded wartime munitions from the seabed, which release toxic substances that pose a danger to humans and the marine environment. Through the Horizon Europe MMinE-SwEEPER project, this knowledge has been transferred to the European level.These initiatives are examples of how local action can have a global impact, Matthes says, and how Europe can strengthen climate research and partnerships. “This is a chance for Europe to step up and work on climate cooperation and agreements,” she notes. “Climate change is an international problem and a real threat, and we need more speed on climate action than we have now.”Matthes believes her fellow scientists need to communicate that climate change is not only a threat, but an opportunity to find solutions. “We need to change our narrative and expand our strategic alliances with those who are willing,” she says, “and luckily there are a lot of willing people and countries.”Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
A deep dive into climate change
Some policymakers continue to question the science of climate change, despite the growing evidence of significant damage to life on land and in the ocean.Katja Matthes, director of the GEOMAR Helmholtz Centre for Ocean Research Kiel in Germany, believes the ongoing attempts to politicise climate science and discredit researchers are hindering international cooperation and public understanding. The ocean provides clear evidence of the extent to which changes are occurring, she says.“We are seeing severe, unprecedented and accelerating changes in the ocean — warming ocean temperatures, acidification and oxygen depletion — that are destabilising the most important system that makes life on this planet possible,” Matthes explains. Visible signs of these changes include the melting of ice sheets in the Arctic and Greenland. Deeper down, the growing frequency of hypoxia — or oxygen-deprived “dead zones”, where marine life can no longer survive — in the Baltic and record-high Mediterranean surface temperatures are indicators of the “dramatic warming” of the ocean, she adds.The ocean, which covers around 70% of the Earth’s surface, acts as a vital carbon sink, absorbing around 30% of the planet’s carbon dioxide (CO2) and 90% of the excess heat. However, the global ocean surface temperature has risen by an average of half a degree Celsius since 1982, according to the EU Copernicus observatory. More significant rises have been recorded in the Mediterranean, Black, Baltic and other shallower seas.Some ocean temperature increases do occur naturally, such as during El Niño events. But sustained rises can trigger extreme weather on land — including droughts, floods and catastrophic storms — while also harming marine ecosystems. Only 10% of marine species have been studied, Matthes notes, “so the consequences might be even more severe than we know.”Fostering European cooperation amid uncertaintyMatthes, who holds a doctorate in meteorology, is a professor of atmospheric physics as well as director of GEOMAR. She serves as one of Kiel’s ambassadors to Science Comes to Town (SCTT), an EU-funded programme that aims to promote science’s role in society and strengthen cross-border collaboration in research, innovation and sustainability. SCTT is hosted by the coastal cities of Kiel, Brest (in France) and Split (in Croatia).The SCTT project also provides a platform for raising awareness and understanding between scientists and the public about major issues, such as climate change. Having worked on both sides of the Atlantic, Matthes is frustrated by recent attempts to erode decades of international climate collaboration and question the credibility of research. Earlier this year, the US administration delivered a major blow to global cooperation by withdrawing from the Intergovernmental Panel on Climate Change (IPCC), the UN Framework Convention on Climate Change and other global climate organisations, claiming they were “contrary to the interests of the United States.”In addition, a US Department of Energy (DOE) report cast doubt on the latest IPCC climate assessment, which was published in 2024. As a contributing author to the IPCC study, Matthes says the DOE sought to discredit scientists like herself. “Climate change is not a matter of opinion, it really exists and we are witnessing dramatic changes,” she notes. “It’s not climate change as a whole that is being targeted, but scientists and their research.”Other US actions have also hit home for Matthes, who spent three years at the US National Center for Atmospheric Research (NCAR) in Boulder, Colorado. The White House has announced plans to close the facility, a move that was “pretty tough” due to the German scientist’s personal connections with the staff and their reputation for excellence.Changing the narrative on climate changeEurope’s scientific community remains a driving force on climate research and collaboration. As one of the world’s leading marine research institutions, GEOMAR attracts students from more than 50 countries and plays an important role in global observation initiatives that contribute to understanding and protecting the ocean basins. At a European level, GEOMAR works closely with other top marine research facilities, including France’s Ifremer, an SCTT partner in Brest. GEOMAR has also developed innovative and safe strategies for removing unexploded wartime munitions from the seabed, which release toxic substances that pose a danger to humans and the marine environment. Through the Horizon Europe MMinE-SwEEPER project, this knowledge has been transferred to the European level.These initiatives are examples of how local action can have a global impact, Matthes says, and how Europe can strengthen climate research and partnerships. “This is a chance for Europe to step up and work on climate cooperation and agreements,” she notes. “Climate change is an international problem and a real threat, and we need more speed on climate action than we have now.”Matthes believes her fellow scientists need to communicate that climate change is not only a threat, but an opportunity to find solutions. “We need to change our narrative and expand our strategic alliances with those who are willing,” she says, “and luckily there are a lot of willing people and countries.”Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
How much of a cancer drug is too much? Patients, researchers challenge FDA-approved dosages
Patients and researchers point to evidence that many cancer drug dosages are excessive, and that reducing the amount and frequency could save billions of dollars and prevent some of the worst side effects.
Scientists hope to shed light on young universe by using dark side of the moon
UK team seeking to put suitcase-sized satellite in orbit around moon in search for 21cm line radio frequency signal
Joby Aviation to Scale Defense Business Through Acquisition of Resonant Sciences
Acquisition will significantly expand Joby’s defense business by adding a fast-growing company with established programs, classified capabilities and scaled manufacturing operations` Upon closing, Resonant will become Joby’s dedicated defense business, continuing its existing programs while expanding its portfolio to include Joby’s hybrid aircraft and autonomy technologies. Joby’s commercial aircraft business will remain focused on its electric air taxi initiatives Combination will create immediate opportunities to unite Joby’s dual-use aircraft, propulsion and autonomy technologies with Resonant’s radio frequency (RF), sensing and mission systems capabilities as well as its world-leading expertise in low-observability aircraft design Resonant delivered more than $100 million in trailing-twelve-month revenue, representing approximately 40% year-over-year growth, alongside strong adjusted EBITDA generation, driven primarily by long-cycle programs with the U.S. government, prime contractors and next generation defense technology programs
AbCellera women’s health data top ‘most aggressive upside scenario,’ putting Astellas and Bayer on notice
AbCellera has reported phase 2 results “beyond even the most aggressive upside scenario” that its CEO dared to consider, boosting the biotech’s chances of challenging Astellas and Bayer for a women’s health market. The phase 2 clinical trial compared ABCL635, an antibody targeting NK3R, to placebo in patients with hot flashes caused by menopause. Investigators enrolled 92 postmenopausal women experiencing a mean of about 10 moderate or severe hot flashes per day. By Week 4, the number of moderate or severe hot flashes had fallen by a mean of 8.8 on ABCL635 and by 3.5 on placebo. That statistically significant, placebo-adjusted reduction of 5.3 hit the trial’s primary endpoint. The level of efficacy also cleared the bar set by existing drugs. While cross-trial comparisons can be misleading, AbCellera CEO Carl Hansen, Ph.D., had seen enough to start hyping the program. “We now view ABCL635 as a potential best-in-class non-hormonal therapy with strong differentiation against approved NK3R competitors across all important dimensions, including efficacy, safety, dosing and convenience,” Hansen said on a Monday morning conference call with investors to discuss the data. “We believe ABCL635 is now a highly de-risked program.” Last week, Hansen used AbCellera’s earnings call to set expectations for readout, with the CEO defining success as a clean safety profile and efficacy comparable to the two approved small molecules. The data vaulted over that bar. Astellas linked (PDF) one of the small molecules, Veozah, to placebo-adjusted reductions in hot flash frequency of 2.1 and 2.6 at Week 4 of its two phase 3 trials. Bayer reported (PDF) placebo-adjusted reductions of 3.04 and 3.29 at Week 4 of pivotal studies for its small molecule, Lynkuet. At 5.3, the placebo-adjusted reduction in AbCellera’s trial comfortably cleared the standard set by the incumbents. Veozah and Lynkuet came to market based on evidence of their ability to reduce the frequency and severity of hot flashes. AbCellera’s phase 2 study covered both endpoints, with the Canadian biotech reporting a mean reduction in severity of 1.4 points at Week 4 on ABCL635, compared to 0.3 points for placebo. Again, the placebo-adjusted result compares favorably to data on Veozah and Lynkuet. Analysts shared Hansen’s enthusiasm for the data. The phase 2 results “firmly validate ABCL635 as a potentially best-in-class treatment,” BMO Capital Markets analysts said in a note to investors Monday. ABCL635’s apparent efficacy edge “is likely attributable to the higher dosing/target engagement the asset is able to reach vs. the oral agents due to its wider therapeutic index,” the analysts added. The analysts, who model $2.3 billion in unadjusted peak sales for ABCL635, flagged the safety profile as another positive of the phase 2 readout. While Veozah carries a boxed warning for liver damage, nobody on ABCL635 in the phase 2 trial had elevated liver enzymes or bilirubin values. If replicated in phase 3, the lack of a liver signal could allow approval without the monitoring requirements imposed on Veozah. Investors appeared equally enthused, sending AbCellera's stock up 32% to $9.21 in premarket trading Monday from a Friday closing price of $6.93. Next, AbCellera will collect the Week 12 data and talk to its advisors about further development. The results open up “a wide variety of possibilities of how we might take this forward into phase 3 studies to truly maximize the value of the asset and make sure that ABCL635 is able to demonstrate its differentiation potential,” Sarah Noonberg, M.D., Ph.D., AbCellera’s chief medical officer, told investors.
The Beauty Of Settled Science
Commenters convinced me I made a subtle mis-step in my framing of Psychology Research Is Mostly Fine. My framing emphasized that social priming studies had failed to replicate, but that many other subfields of psychology hadn’t. This naturally led commenters to point to failed replications in other subfields. Although none of these were as bad as social priming, few or none were entirely problem-free. Instead of emphasizing the difference between social priming and other subfields, I should have emphasized the difference between settled science and novel research. Here are some of my favorite psychology findings: The brain is sculpted by reinforcement learning, and a key driver of this learning is a prediction-error-based algorithm located in the nucleus accumbens and implemented through dopamine. Psychedelic drugs exert their effects through 5-HT2A receptors, pointing to a role for these receptors in some sort of construct like the balance between priors and new evidence. Certain cognitive functions are localized to certain brain areas (for example, impulse control to the frontal lobes; linguistic structure to Broca’s area, linguistic meaning to Wernicke’s area. But injure one of these areas, or render a certain function useless (eg a blind person having no more use for their visual cortex), and these mappings can gradually shift - suggesting that neurons are general-purpose compute whose specialization is a contingent fact about convenience and efficiency rather than a necessity. Most personality traits and general capabilities are about 50% genetic and 50% random, with little role for family environment or childhood history, with a few notable exceptions like partisan preference. Recent research complicates this story, but the further you go from this basic picture, the gnarlier the chains of indirect causation you require. Neurons fire together in “brain waves”, whose exact frequency corresponds with the character of consciousness; These divide neurons into natural subpopulations and linked graphs. The gamma rhythm corresponds surprisingly well to items in conscious awareness. GABA receptors seem to be involved in something like relaxation. By hitting different GABA receptors in different ways, you can modulate the exact type of relaxation you produce. Hitting GABA-A directly is too powerful and can cause dangerous levels of sedation, but allosteric modulation of GABA is an incredibly fruitful strategy that underlies drugs from benzos to barbituates to alcohol. If you know your GABA-A subunits, you can target specific subtypes of relaxation; for example, Ambien hits GABA-A1 and induces sleep. Memory divides somewhat fuzzily into bins of immediate-sensory, short-term, and long-term, with separate retrieval and storage functions, and separate systems for declarative vs. procedural learning. These can be harmed selectively, usually by hippocampal injury, so that some patients can remember their life stories but not form new long-term memories, or learn new skills like bike-riding but not new facts. The exact substrate of memory is unclear but seems to involve new synaptic connections between neurons in at least some way. The ability of modern psychology and psychiatry to treat mental illness is real but limited. SSRIs work for half or slightly fewer than half of patients; antipsychotics work with extreme side effects; benzodiazpines work but produce addiction and tolerance in many (not all) people. Most supplements are stuck in Poor Quality Study Replication Crisis Hell, but melatonin and l-theanine stand out as especially promising. Psychotherapy works with moderate effect size, but (with a few exceptions) seems to be more about the relationship with the provider than the details of the therapy itself. Mental hospitalization can sometimes defuse immediate crises but work less well than mental hospitals would like, with some studies showing overall negative effects. Schizophrenia is mostly genetic, but risk also increases with prenatal infection (especially rubella) and obstetric complications; there is suggestive evidence for roles of social stress and drug use (with psychedelics and marijuana making things worse, and nicotine if anything making things better). Bipolar and schizophrenia are so closely linked on a pathophysiological level that it seems like they might be the same disease; on the clinical level, they do seem to follow two separate courses/prognoses but can sometimes surprise clinicians by eg someone who seemed condemned to permanent schizophrenia unexpectedly recovering. The brain’s native reinforcement learning algorithms cash out in the phenomena of classical and operant conditioning; different reinforcement schedules reinforce at different levels, which can be exploited by bad actors to make especially compelling products (eg slot machines). None of these are immune to doubt. A few are speculative; one or two are genuinely unorthodox. But they’re all a step above one p = 0.049 paper that might not replicate. If they get overturned, they’ll be overturned by the same sort of genuine scientific shift that replaced Ptolemy with Copernicus or Lamarck with Darwin, not some sort of sordid discovery about someone entering random numbers into a spreadsheet. In 2008, Eliezer Yudkowsky wrote about The Beauty Of Settled Science: If you only care about scientific issues that are controversial, you will end up with a head stuffed full of garbage. The media thinks that only the cutting edge of science is worth reporting on. How often do you see headlines like “General Relativity still governing planetary orbits” or “Phlogiston theory remains false”? So, by the time anything is solid science, it is no longer a breaking headline. “Newsworthy” science is often based on the thinnest of evidence and wrong half the time—if it were not on the uttermost fringes of the scientific frontier, it would not be breaking news. Scientific controversies are problems so difficult that even people who’ve spent years mastering the field can still fool themselves. That’s what makes for the heated arguments that attract all the media attention. Worse, if you aren’t in the field and part of the game, controversies aren’t even fun. Don’t be embarrassed to read elementary science textbooks, either. If you want to pretend to be sophisticated, go find a play to sneer at. If you just want to have fun, remember that simplicity is at the core of scientific beauty [...] A steady diet of science news is bad for you: You are what you eat, and if you eat only science reporting on fluid situations, without a solid textbook now and then, your brain will turn to liquid. Psychology isn’t centrally the new paper in Annals Of Recently-Breaking News saying that an n=5 study showing that large portion sizes increase support for terrorism. Psychology is centrally ideas like brain waves, GABA receptors, reinforcement learning, twin studies, and connectionism. People who think differently are worrying too much about BREAKING NEWS!!!, and should stop. The key distinction isn’t “recent research in social psychology” vs. “recent research in cognitive/bio/behavioral psychology”, as my essay last week unfortunately implied. It’s recent research in general vs. the deposit of settled science, battle-tested hypotheses, and carefully-earmarked speculation. And part of the reason social priming in particular was such a disaster was that it defied that heuristic, building itself up over hundreds of studies until it approached or even entered the pantheon of settled science - before collapsing (5-HTTLPR was also sort of like this). This isn’t a claim that settled science is always right - Freud was “settled science” for a long time - just that there’s an intuitive distinction between the level of credence you should have in the existence of power posing vs. the existence of Broca’s Area. (I compounded this error by calling the last post “Psychology Research Is Mostly Fine”, which suggested I was talking about the new research rather than the settled science. I actually meant to distinguish between research-psychology-the-field vs. clinical-psychology-aka-therapy, but this framing unintentionally pushed against the point I wanted to make) Some commenters on the previous article understood this point, but challenged its weight. It’s very cool, they said, to know how many neurons are in which brain lobe, but the main way that Psychology affected their lives was through bad clickbait studies used to buttress dumb policies; some p = 0.049 study says that exposure to microaggressions makes minorities’ brains shrivel into raisins, and now their company has to implement punitive DEI or be sued for hazardous work conditions. I won’t dispute this as an accurate description of how the sausage gets made, but it’s worth examining the trains of thought that connect this observation to a campaign against psychology in general: The dumb woke psychology was wrong and bad, and I don’t have good heuristics for distinguishing dumb woke psychology from other psychology, so I’m going to assume it’s all wrong and bad. The dumb woke psychology was wrong and bad; it seems useful to punish/discredit psychology as a whole to assist my campaign against it, so for propaganda purposes I will try to discredit psychology as a whole. To people in the first camp, my response is: come on, your heuristics aren’t that bad. “Microaggressions makes minorities’ brains shrivel up like raisins” is in the woke category; “the hippocampal theta rhythm seems to be associated with both memory and pathfinding, suggesting an unexpected yet surprisingly compelling relationship between the two” is in the not-woke category, don’t play dumb here. To people in the second camp, my response is: deliberately exaggerated propaganda campaigns are bad and this is a confession, not an excuse. Inability to view science through anything but a political lens was what got us into this problem; doubling down on it is a temporary solution but a recipe for permanent disaster. If you pronounce entire fields of science to be acceptable collateral damage in your campaign against bad political actors, you will alienate not just scientists but patients, clinicians, and general lovers of truth. Instead, you can say the thing you mean - that woke partisans shouldn’t try to occupy and exploit the otherwise-noble science of psychology for their own political gain - and wage the same campaign with a halo rather than a comic-book-villain goatee. From the font of oracular wisdom that is Weird Sun Twitter: [ Vessel Of Spirit@VesselOfSpirit i love you all conditionally but i love the good part of you unconditionally. even if it becomes a very small part 2:11 AM · Jan 22, 2015 1 Reply · 5 Reposts · 29 Likes ](https://x.com/VesselOfSpirit/status/558084551772471298) This is how I feel about psychology1, too, but with a touch more optimism. The good part of psychology is enormous, a hoard of endless treasures. You just have to look past the headlines! 1 To play devil’s advocate - should one always be so magnamious? Astrology? Phrenology? These seem different in that their entire orientation was flawed from the start; they didn’t simply fail to find the correct constellation-personality connections, the whole project of searching for connections between constellations and personality was doomed from the start. More difficult might be asking the same question about education research, which is notoriously bad. I don’t know enough about education research to know if there’s some settled science of correct and enlightening results lurking in the background beyond the day-to-day froth of poorly-conducted and politically-motivated studies. I think if it’s 90% bad, 10% good, it’s correct to call it bad as a compact way of communicating a useful truth; I think psychology is better than that, but admit it’s a tough judgment call.
Sony Music Appoints Stephanie Yu to General Counsel and Executive Vice President, Business and Legal Affairs
Sony Music today announced the appointment of Stephanie Yu to General Counsel and Executive Vice President, Business and Legal Affairs. She reports to Rob Stringer, Chairman, Sony Music Group and Kevin Kelleher, COO, Sony Music. Yu will be responsible for overseeing the business, legal and governmental affairs strategies and activities for the company globally. Stringer […]
Sony Music Appoints Stephanie Yu to General Counsel and Executive Vice President, Business and Legal Affairs
Sony Music today announced the appointment of Stephanie Yu to General Counsel and Executive Vice President, Business and Legal Affairs. She reports to Rob Stringer, Chairman, Sony Music Group and Kevin Kelleher, COO, Sony Music. Yu will be responsible for overseeing the business, legal and governmental affairs strategies and activities for the company globally. Stringer […]
The mysterious hum heard around the world may finally have an explanation
The mysterious sound known as The Hum has been reported worldwide for decades, yet its source often remains impossible to find. Researchers tested whether people who hear it have exceptional low-frequency hearing or measurable sounds produced inside their ears, but neither explanation fit most participants. The strongest possibility is that many cases involve low-frequency tinnitus, even though the sound seems completely external.
MSI Afterburner adds V/F hit maps to show how NVIDIA GPU Boost follows the curve
MSI Afterburner’s next beta will record the last 256 voltage and frequency states. A heat map shows which GPU Boost points were used most often.
Vacant Mission Chase bank to reopen as Hidden Frequency arts venue
A key nightlife change is coming to a well-known Mission District corner, and neighbors are already taking note.
Books for Better Health: Can Parent Beliefs About Reading Affect Health Outcomes?
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Connecting brands to highly engaged audiences through an exclusive EA SPORTS Partner Program, in-game integrations, creative partnerships, and scalable advertising capabilities across EA’s global portfolio Electronic Arts Inc. (NASDAQ: EA), the global leader in interactive entertainment, today announced the launch of EA Advertising , a new platform transforming how brands connect with audiences through digital and real-world experiences across its global portfolio of games. EA sits at the intersection of entertainment, sports, technology, music, and culture. Across console, mobile, and PC, our games and services reached more than 120 million players 1 each month during fiscal year 2026. Together, this scale and frequency of engagement create meaningful opportunities for brands to connect with audiences through authentic, interactive experiences. EA SPORTS is one of the largest interactive sports platforms in the world, connecting hundreds of millions of players across console, PC, and
Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
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