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Broncos Rally to Beat Jaguars in Wild Comeback
The Denver Broncos came roaring back Sunday afternoon, overcoming a 13-3 deficit to defeat the Jacksonville Jaguars 20-13 at Empower Field at Mile High. After a disappointing season-opening loss to the Kansas City Chiefs, Denver needed a response. It got exactly that, scoring 17 unanswered points in the second half to hand Jacksonville its first…
Eagles Steal Victory From Titans With Last-Second Touchdown
The Philadelphia Eagles found a way to escape Nashville with a victory Sunday, rallying late to defeat the Tennessee Titans 24-20 and improve to 2-0 on the season. Philadelphia looked to be in trouble late after Tennessee took a 20-17 lead on a 33-yard field goal with just 1:56 remaining. The Eagles needed to go…
Packers Rally to Stun Jets in Overtime
The Green Bay Packers pulled off a dramatic comeback Sunday afternoon, rallying from a 10-point fourth-quarter deficit to defeat the New York Jets 20-17 in overtime at MetLife Stadium. The Jets appeared to be in control for much of the afternoon and held a 17-7 lead with just over 11 minutes remaining in the fourth…
This truth emerges as political situations change fast: Maps show us our world, but not neutrally
Maps can anchor us in a place or help us get somewhere else. But while the physical geography of our world can be set in stone, maps aren't. There are
This truth emerges as political situations change fast: Maps show us our world, but not neutrally
There are choices involved in everything from which countries are centered to their size relative to each other and what the objects on the map are called. This map showed Africa more accurately and ...
This truth emerges as political situations change fast: Maps show us our world, but not neutrally
Maps can anchor us in a place or help us get somewhere else
This Truth Emerges as Political Situations Change Fast: Maps Show Us Our World, but Not Neutrally
NEW YORK (AP) — Maps. Where would we be without them? And how would we even know? They can anchor us in a place or help us get somewhere else. They can show us global political realities via the drawing of contested country borders. We take it as truth that not only does X mark the spot, it shows us ...
It's Your Business | Pedaling to peddle popsicles in Urbana
“Because it is so unique, it really does turn heads. I’ve literally been riding back from the park to my house, and cars, a minivan will drive in front of
Annual rally at Boston Common draws thousands of marijuana advocates ahead of historic repeal vote
This year’s event billed itself as the “first overtly political” Freedom Rally since recreational marijuana was legalized across the state in 2016.
WATCH LIVE: Pete Buttigieg keynotes Texas Democrats Johnson-Jordan Dinner
Former Transportation Secretary Pete Buttigieg delivers the keynote address at the Texas Democratic Party’s 12th Annual Johnson-Jordan Dinner as Democrats rally ahead of midterms.
National nurses union hosts rally in Bangor against federal healthcare cuts
Maine organizations representing nurses met with the largest registered nurses union in the nation to push back against federal healthcare cuts in Bangor on Saturday.
Turning on these smartphone safety features could literally save your life
Both Android and iOS offer features and apps that can make you safer no matter where you are and what you're doing.
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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Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
Scientists Create Stronger Concrete That Absorbs CO2 From the Air
Concrete usually adds to the world’s carbon burden, but a new formula absorbed CO2 while becoming stronger than a conventional mix. Researchers at Mepco Schlenk Engineering College in India developed the concrete by combining two naturally derived materials: porous zeolite and bamboo biochar. Tests described in Carbon Research suggest the blend could give infrastructure a
I tried literally everything and there was a reason …
I tried literally everything and there was a reason …
How the New York City mayor selects judges
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Philadelphia City Council members and local advocates rally to keep Academy of Natural Sciences museum open
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Firstborns tend to do better in life. The reason has surprised scientists.
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Fact-checking President Trump's N.C. speech
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Nurses put Maine hospitals on ‘RED ALERT’ status
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Lena Dunham welcomes her first baby via surrogacy
(CNN) — Actress and writer Lena Dunham and her husband Luis Felber have welcomed a baby daughter via surrogate.Writing in an op-ed published by Vogue on Wednesday, Dunham, 40, who is best known as the creator of hit TV series “Girls,” revealed that the couple’s first child had arrived 13 days late, before describing the moment of her birth.“I was so focused on our surrogate — in awe at her concentration, her period of quiet followed by what sounded like a roar — I forgot to look down until I heard our baby’s cry,” she wrote.“I saw her face, gasping just as she did. Her eyes, wide and unfocused, taking in the light and shadow, blinking rapidly.”Dunham said she was “bashful and dizzy with joy.”In 2018, Dunham revealed that she’d had a hysterectomy in an attempt to end the pain caused by endometriosis.Endometriosis is a common and often painful condition that happens when tissue similar to the lining of the uterus grows outside the uterus itself. It’s estimated to affect more than 11% of women between the ages of 15 and 44 across the United States.The surgery removed her cervix and uterus, meaning that she was unable to conceive naturally.On meeting her surrogate, Dunham wrote in the Vogue piece: “While I’ve been known to make friends quickly — airport terminals, veterinary offices — this was the quickest leap from first coffee to gynecological procedure I’d ever done.”Dunham said in the months before the embryo transfer date, as she “got to know our surrogate and to trust her,” she thought she would feel “jealousy” towards her, but she did not.“Instead, I felt a different kind of jealousy — toward said baby, for the chance to be tucked into someone who radiated such safety. I could just tell she knew how to steer an SUV in the snow,” Dunham added.The pregnancy came after “12 years circling the fertility drain,” Dunham wrote, and revealed how she dealt with the nerves of the intervening months.“Powerless and unable to feel the physical changes that signal a growing fetus, I horrified friends and family who adhere to the Jewish superstition prohibiting anticipatory purchases, and I started shopping,” said Dunham, before recounting her journey into the world of baby fashion.“I was looking for garments that allowed her personality to develop and express itself rather than announcing an identity she didn’t yet have,” she said.“She would be a person that we helped to dress, who made an impression on the world based on our choices, until she was old enough to do it herself.”The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.
Trump, Whatley emphasize administration’s track record at rally
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Pete Buttigieg rallies with Mike Lawler challenger in competitive House race
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Across Minnesota, opposition to data centers is a political campaign season rallying cry
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Trump emphasizes crime in midterm push in North Carolina
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A cancer survivor hoped to work — then she lost her Medicaid disability coverage
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Senate Democrats meet with Abdul El-Sayed, rallying around Michigan nominee
Janesville organization holds rally opposing development referendum
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Dear Abby | Mom doesn't want daughter visiting neighbors
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This Week in Politics: Republican Midterm Convention
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Red Wings rally falls short as playoff race tightens
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Could a daily glass of orange juice support heart health? Study finds citrus compounds influence genes linked to blood vessel function
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Germany: Chancellor Merz tries to rally his troops
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Measure by measure, studying society accurately
Naoki Egami is an MIT political scientist specializing in the methodology of research, including the question of “external validity” — whether the results of particular studies apply more generally.
Measure by measure, studying society accurately
Naoki Egami is an MIT political scientist specializing in the methodology of research, including the question of “external validity” — whether the results of particular studies apply more generally.
Steve Bannon, Bernie Sanders and when AI becomes the super villain
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Steve Bannon, Bernie Sanders to share stage for 'pro-human' rally
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Building the Capital Ecosystem Native Businesses Need
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The Trump Administration’s Plan To Politicize Federal Grants Would Harm American Health and Innovation
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Sheridan questions Martin O’Neill’s team selection
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Seeing red in Manchester derby
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Doctors strike, rally for contract with Allina
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Far-left attack backfires spectacularly as radical online personality whines after attacking female Trump aide
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Top salaries at Greater Family Health 2024
Greater Family Health is a federally qualified health center providing access to healthcare for uninsured and underserved residents in Elgin, McHenry, Streamwood, DeKalb, Sycamore, Wheeling, Hanover Park, Palatine, and Franklin Park.
Top salaries at Greater Family Health 2024
Greater Family Health is a federally qualified health center providing access to healthcare for uninsured and underserved residents in Elgin, McHenry, Streamwood, DeKalb, Sycamore, Wheeling, Hanover Park, Palatine, and Franklin Park.
China’s self-powered neural device helps stroke survivors walk naturally
Prosthesis developed by mainland China and Hong Kong team uses electrical current to flex the wearer’s ankle while walking.
BRICS countries rally to counter shocks of power politics, unilateralism: China Daily
"This year marks the 20th anniversary of BRICS cooperation. Over the past two decades, the BRICS cooperation mechanism has become the world's most influential platform for cooperation among emerging markets and developing countries," highlights the editorial.
Convicted sex offender offered opening prayer at rally for GOP Senate nominee in North Carolina
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Interim Report: Joint Committee on Health
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"I thought there was no way I could become a doctor. Now I know I can."As I looked around the room, I noticed heads nodding in agreement.That student's reflection wasn't an isolated experience. One by one, others shared similar stories describing how they had questioned whether they belonged in medi...
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BRICS countries rally to counter shocks of power politics, unilateralism: China Daily editorial
BEIJING, Sept. 12, 2026 /PRNewswire/ -- The following article was published today by China Daily.
Tigers roar and rally to down the Rockies again
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Germany’s Political Tailspin: Your Weekly SPIEGEL Recap
It might be tempting to dismiss the results of last Sunday’s state election in Saxony-Anhalt, in which the far-right Alternative for Germany (AfD) party raked in 43.8 percent of the vote, as a rather unimportant extremist blip in a state that hardly anyone can find on the map. And you wouldn’t necessarily be wrong to do so. The state’s population – around 2.1 million – is a mere 2.5 percent of the German total. And while the state capital of Magdeburg was once the political heart of the Holy Roman Empire back when Otto the Great used to hang out there (more than a millenium … no … milennium … nope … millennium ago), it is today something of a backwater, albeit one with a ginormous cathedral in its center. We wanted to briefly interrupt this week’s newsletter to extend a heartfelt thank you to all of our subscribers, both new and old. And to remind you all that a free subscription gets you access to this newsletter every Saturday. A paid subscription, by contrast, gets you one DER SPIEGEL article every weekday, delivered to your inbox. We strive to select pieces that both demonstrate what Europe’s leading newsmagazine has to offer and provide an international audience – namely, you – with an insight into how Germany and Europe view the world. If you haven’t already signed up for a paid subscription, please consider doing so if you can. Our Substack channel relies entirely on reader support and we are excited to continue offering you the best of DER SPIEGEL. Subscribe But even beyond the fact that a huge percentage of the voters in the state decided to place an X next to a party with an ideological lineage that runs rather directly back to the right-wing extremist soup out of which the Nazi Party was born, the results are a perfect example of a phenomenon that has been plaguing German elections in recent years: the lack of an obvious path to a majority. Call it the Balkanization of German politics. There are a number of developments driving the phenomenon, but for the purposes of this newsletter, here are two of the most salient: Persistent voter frustration with the country’s two (former) big-tent parties – the Christian Democrats (CDU) on the center-right (17.2 percent in Saxony-Anhalt last Sunday) and the Social Democrats (SPD) on the center-left (9.3 percent). The presence of parties on the far left (Left Party), the populist left (the Sahra Wagenknecht Alliance – BSW) and the far right (AfD) with which mainstream parties are reluctant to form coalitions. So what happens now? Stories of the Week A Lack of Leadership The answer for many people in the country, and particularly within the CDU, is clear: pin (some of) the blame on Chancellor Friedrich Merz. According to a survey taken directly after the election in Saxony-Anhalt, 88 percent of respondents agreed with the statement that if the federal government in Berlin were doing a better job, the AfD wouldn’t be as strong. And it is true that the predominant impression of the federal government ever since Merz was sworn in on May 6, 2025, is one of ineffectiveness and bickering. His rather unique combination of bumbling-plus-bravado has also not exactly endeared him to the German public. Indeed, his standing in the country is so shaky that his popularity – according to recent polls – has now dropped even below the historic lows associated with his predecessor Olaf Scholz. The situation is such that the CDU even opted to keep him largely out of the campaign ahead of the Saxony-Anhalt vote. And since then, dissatisfied rumblings within the CDU have grown louder. DER SPIEGEL’s Swantje Karich notes that the problems with the CDU go much deeper than Merz. “The center-right has a trust problem. At a press appearance following the devastating election result in Saxony-Anhalt, Friedrich Merz said that the party wanted to ‘reach people more effectively’ through ‘emotional engagement.’ It sounded as though he were announcing a political program. On the basis of that statement, it is difficult to take his empathy seriously.” “The Chancellor’s chastened appearance did, at least, reveal where he stands: with his back to the wall. Elections will be held in Mecklenburg-Western Pomerania next week, and the CDU could fare even worse there. The party is polling at between 8 and 10 percent in the state.” “What is at stake is the political tradition that has lent stability to the Federal Republic since 1945: a democratic conservatism that understands what must be preserved, but also how to embrace progress and openness to the world. If the Union continues along its current path, it risks becoming politically irrelevant after the 2029 federal election – and Germany could soon find itself with a government of the far right.” The Trumpification of Political Debate? It is often said in Germany that to understand the political and social trends that will soon be dominant in Europe, one need only look across the Atlantic to the United States. When it comes to political debate, that has certainly proven true. Donald Trump understood early on that triggering mouth-foaming outrage among Democrats is an ideal way to both generate headlines and to secure loyalty among supporters. And he realized that far more quickly than the left side of the political spectrum understood that simply ignoring the old man might be the best recipe. To be sure, there have been signs recently that the US president may be over-relying on the strategy. Earlier this week, in an apparent grandpa-discovers-AI moment, Trump sent out 60 posts in the space of 10 hours, many of them AI-assisted images portraying him as a hero – or showing Iceland as part of the US (outrageous!!!). It was also during that slew of schlock that he explicitly backed the AfD with an “MGGA” post. In Germany, though, the outrage cycle remains in full swing, with much of the focus on those who would dare to vote for the AfD. They are alternately portrayed as being dim-witted, ungrateful, backward, racist or all of the above. That, argues DER SPIEGEL columnist Sabine Rennefanz, is not particularly helpful. “Everywhere on election night, people spoke of a watershed moment, a rupture, a turning point. But what is that supposed to mean in concrete terms? A watershed would imply an interruption, a moment of pause – perhaps even a willingness to rethink and learn. At first, there was little sign of that in the main television panels. Instead, the familiar rituals that had already shaped the election campaign continued: outrage, lecturing and abuse.” “That’s just the tone, one might object. They’re only talk shows. Given that the party’s state branch has been classified by domestic intelligence officials as confirmed right-wing extremist, there are more important problems than hurt feelings on television. Yet although the condescending tone is not the cause of the AfD’s success, it is an expression of the broader mood within the so-called political center – a kind of institutional blindness that too often treats material concerns as a communications problem.” “People have a pretty good sense of whether you like them – whether you approach them with curiosity or merely study, lecture and manage them as a problem group. They notice whether you genuinely want to understand their fears and pain, or whether you are simply waiting for the chance to correct them. They can also tell whether someone still has the energy to change things, or whether they have barricaded themselves behind platitudes and empty phrases.” “Anyone who wants an egalitarian democratic society cannot promise equality only to those whose language, tastes and moral convictions they share. They must also acknowledge the wounds, resentments and fears of those whose political conclusions they consider wrong. Acknowledging them does not mean agreeing with them. But a democracy that communicates with almost half its citizens only through warnings and labels gives up on political debate before it has even begun. An atmosphere must be created in which people can express their opinions without fearing that they will be canceled. We are currently a long way from that.” East-West? One of the clear undercurrents in the election last Sunday was, of course, Germany’s ongoing east-west divide, particularly as it pertains to the success of the AfD. Historically, the party has been far stronger in the former East German states than in former West German states. The fact that this generalization no longer reliably holds is certainly one of the primary concerns that many have about the party’s growth. And yet, there is still a distinct flavor of “stupid easterners, they don’t understand democracy” to the coverage. In the weeks before the vote, there was even a rather interesting back-and-forth in Germany’s culture pages about how ungrateful eastern Germans allegedly are for being pulled out of their pre-reunification backwardness and into the light of the West. DER SPIEGEL’s Jochen-Martin Gutsch has had enough. “Ten years ago, in 2016, elections were also held in Saxony-Anhalt. The AfD won more than 20 percent, which at the time rightly provoked outrage and incomprehension in western Germany. Today, in 2026, the AfD is also polling at around 20 percent in western German states, but this no longer provokes outrage and incomprehension. Instead, it is now regarded as proof of democratic conviction and civilizational resistance. After all, in the east, it’s 40 percent!” “This allows people to continue feeling morally superior to the East, but the wiser course would be to admit: if something doesn’t happen soon, the West will turn AfD-blue too. Or bluish.” “But will anything happen? The truly depressing thing about election night was not so much the AfD leaders intoxicated by their own success. It was the representatives of the other parties, who once again said that they were utterly shocked, needed some time to digest the result and would, of course, not simply return to business as usual. The SPD, a former big-tent party, celebrated its ‘stable’ result of 9.3 percent. Congratulations!” “For 10 years, the AfD has gone from one electoral success to the next. And still, the established parties remain ‘shocked’ and scratch their heads in astonishment. How long can they keep being shocked? Friedrich Merz says he may need to communicate his reform ideas in a more ‘emotional’ way. So the CDU’s political professionals sit down together after the election, mull over a strategy, and in the end come up with this: Fritz, try to be a little more relaxed, charismatic and emotional – or something. Beyond that: no political plan, no defiance, no promise of a future. That is frightening.” What was good, what was bad for democracy? Good: Voter turnout in Saxony-Anhalt was 77.8 percent, the highest ever recorded in the state. Whatever one thinks of the result, that figure is encouraging. Democracy needs citizens to take an interest. Bad: Although a strong AfD result had been expected in Saxony-Anhalt, many politicians from the mainstream parties – including in Berlin – appeared confused, helpless and overwhelmed in their initial reactions. That is not how they will win back voters’ trust. Last Week’s Highlights: 🗳️ Meet the Germans Who Voted for the AfD: Why would voters in a country like Germany, with its Nazi past, vote for a right-wing party? It’s a question only an editor in Berlin could come up with. On the ground, the view is different. 🟦 How the AfD Wants to Expand Its Power Across Germany: The far-right AfD is planning to decimate public broadcasting in Saxony-Anhalt, revamp education and install extremists in positions of power. And it is eyeing victory on the national stage as well. 🕯️ The Continuing Reverberations of September 11: It was a generational shock, and the consequences can still be felt today - from massive surveillance and significant increases in presidential power to violent excesses at ICE. 🤝 “For Europe, Canada Is the Preferred Partner in Trans-Atlantic Relations”: In an interview with DER SPIEGEL, Canadian Finance Minister François-Philippe Champagne discusses his country’s failed trade deal with the US and why Canada is looking to Europe. 🏛️ The True Historical Roots of the AfD: During the Weimar Republic in the 1920s, there were numerous parties on the extreme right espousing “Germany first” nationalism. The Nazis may not be the best comparison for today’s AfD. 🌊 AfD in a Landslide: Merz Is the Wrong Leader for Germany: The right-wing Alternative for Germany won in a landslide in Saxony-Anhalt state elections on Sunday. What does that mean for the country at large? Thank you for your continued support and have a wonderful week! Subscribe Share Leave a comment Your SPIEGEL Substack Team Compiled and edited by Charles Hawley
Business creating unique crochet figures
LEWIS CENTER — Take a quick walk over to The Market at Evans Farm on any Saturday between 9 a.m. and noon, and you’re bound to see a shop which will have you hooked-literally. HooksandChains35, a small business based out of Upper Arlington, is one occupant of the cheery neighborhood market, and it puts a unique spin on cozy crochet items.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Razorbacks visit Fayetteville High for mental health pep rally
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TiVo Platform Technologies has launched “Agent TiVo,” a new conversational AI-powered entertainment software designed to transform how operators and entertainment platforms help consumers discover and engage with content across television and streaming environments. The platform, unveiled at IBC 2026 in Holland, lets viewers interact naturally by voice or text, helping them find content in the … Continue reading "TiVo Bows AI-Powered ‘Agent TiVo’ Entertainment Guide"
Doing business in Canada: Business organization and corporate governance
Businesses establishing a presence in Canada typically choose among incorporation (federally under the Canada Business Corporations Act (CBCA) or under an equivalent provincial statute), partnership (general, limited or limited liability, depending on the province), joint venture, sole proprietorship, or extra-provincial registration of an existing foreign entity as a branch.
HAPPI Health becomes federally qualified health center after $102 million award
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Fact check: Trump, RFK Jr. and others make false claims on night 2 of GOP convention
(CNN) — President Donald Trump delivered another rapid-fire series of false claims on the second night of Republicans’ midterm convention on Thursday. Health Secretary Robert F. Kennedy Jr. did his own barrage of wrongness. And various other speakers uttered statements that were untrue, misleading or missing critical context.Here is a fact check of some of the assertions from the final day of the convention. This is not intended as a comprehensive list of Thursday’s falsehoods.Trump’s many false claimsTrump made numerous false claims, some of which he also made in his longer speech Wednesday.Trump claimed that there were “no empty seats” in the Dallas arena as he spoke Thursday, which was visibly untrue. CNN White House correspondent Alayna Treene, who was there, wrote in a live chat right after Trump made the claim that “I’m looking at rows of empty seats” and that “the idea that there are ‘no empty seats’ is just laughably untrue,” though she also said the room was mostly full. Trump has for years made false claims about supposedly never having had an empty seat.Trump further inflated one of his favorite fictional figures, claiming Thursday that “$22 trillion” in investment has come into the US; on Wednesday, he had put it at “over $20 trillion,” and even that lower figure has no apparent basis in reality. As of the time he spoke Thursday, the White House’s own website claimed there had been “$11.2 trillion” in “major investment announcements” this term, not “over $20 trillion,” and the White House figure was itself a major exaggeration of actual investment.Trump, talking about elections, lied that “there’s never been bigger cheaters” than Democrats; there is no basis for broadly describing Democrats as election cheaters. For the second straight night, Trump falsely claimed that the Biden administration allowed “25 million people” to pour into the country, though that number is nowhere close to correct. Trump again falsely claimed that former President Joe Biden and other Democrats “created the worst inflation in American history,” though even peak Biden-era inflation, 9.1% in June 2022, was far from the all-time record of 23.7%; it was a 40-year high, but the rate then fell sharply before Trump returned to office.Trump also baselessly claimed that Democrats would “defund the police” and give “voting rights and welfare to 25 million illegal aliens” if they won the midterms. Republicans will still control the White House in 2027 and 2028 and the president would be in position to veto any such changes if a Democratic-controlled Congress sought to make them, but there is no indication that Democrats want to do so. Also, even groups favoring strict immigration policies estimate that the total undocumented population is far less than “25 million” or even 20 million.As he did Wednesday, Trump claimed the US now has the world’s lowest prescription drug prices. The assertion is so broad that it is unclear what exactly Trump is referencing. But experts told CNN they highly doubt that the prices for brand-name drugs in the US are generally less than they are in other countries, and the Trump administration has not provided details to prove the claim.“It’s tough to claim that you’re getting the lowest prices anywhere in the world and then also not have any evidence to support that,” said Andrew Mulcahy, a senior health economist at RAND, while Diederik Stadig, senior healthcare economist at financial institution ING, said, “To say that the US now has the lowest drug prices in the world is at this moment not true.”And as he did Wednesday, Trump said “more Americans are working today than ever before” – which is true but nearly meaningless, since the number of people working in the US generally rises over time simply because the population rises over time.“There are more Americans working because there are more Americans. That’s the entire analysis,” Justin Wolfers, a University of Michigan professor of public policy and economics, wrote in his newsletter in August.RFK Jr.’s false claims on the pandemic, Trump’s record and moreFalse claim about Democrats and the 2024 electionKennedy unsuccessfully ran for the 2024 Democratic presidential nomination before withdrawing to run as an independent and then eventually endorsing Republican candidate Donald Trump. In Kennedy’s Thursday convention speech, he complained of how the Democrats handled the nomination race.At one point, he said, “For the first time in history, they cancelled their own convention. No voter ever cast a primary ballot for Kamala Harris, no elected delegate was ever consulted; the party of ‘No Kings’ simply anointed a queen.”Kennedy is entitled to express unhappiness about how quickly Democratic leaders coalesced around then-Vice President Harris after Biden unexpectedly dropped out of the race in July 2024, after the primaries were over and less than four months from Election Day. But it’s not true that the party canceled its convention or that delegates didn’t get any say.The convention was held; it was a four-day event in Chicago in August 2024. Democratic convention delegates officially nominated Harris in a virtual roll call vote in advance of the convention. It’s true that Harris was the only candidate on the roll call ballot, but that’s because she was the only candidate who gathered enough delegate signatures to appear on the ballot.It’s clear that party elites’ backing of Harris played a key role in the unusual nomination process. But Kennedy’s specific allegations that the convention was abandoned and delegates were cut out of the process are not true.False claim that Democrats closed ‘every church’ during the Covid-19 pandemicWhile attacking Democrats, Kennedy claimed that, during the Covid-19 pandemic, “They closed every church in our country for a year.”It’s not true that every church in the country was closed for a year, nor even that every church in a Democratic state was closed for a year.Every state issued some type of guidance or order about social distancing during the Covid-19 pandemic, but many states – including some led by Democrats and some led by Republicans – incorporated religious exemptions into those limitations on social interactions.According to a Pew Research Center analysis from April 2020, 15 states allowed religious gatherings to continue without a limit on their size. That set of states included Colorado, Michigan and Pennsylvania, which all had Democratic governors. And at least two states with Republican governors, Alaska and Idaho, were among the states that prohibited religious gatherings at least briefly.False claim that Trump ‘ended nine wars’Trump has repeatedly claimed that he has ended “eight wars.” Kennedy went one higher on Thursday, declaring, “President Trump has ended nine wars.”That’s false. Trump hasn’t even ended eight wars.Trump’s list of eight includes two situations that were never actually wars during his tenure: a diplomatic dispute between Egypt and Ethiopia and a mysterious supposed situation between Serbia and Kosovo. The list also includes a war, involving Rwanda and the Democratic Republic of Congo, that hasn’t actually ended despite a peace agreement brokered by the Trump administration.In addition, the list includes the war between Israel and Hamas, but Israel continues to conduct frequent attacks in Gaza despite a US-brokered ceasefire agreement. And it includes the brief 2025 conflict between Israel and Iran, though Israel proceeded to join the US in starting another war against Iran in 2026.Claim about reversing a decline in longevityKennedy speaking of the Trump administration, claimed Thursday: “We have now reversed a 30-year decline in longevity. “Kennedy referenced preliminary data that he said he had received from the US Centers for Disease Control and Prevention this week, but it’s unclear what metric of longevity he’s referring to.CDC data shows that US life expectancy had been steadily increasing for decades before a sharp drop during the Covid-19 pandemic. Life expectancy had already started to rebound in 2022, under the Biden administration, and reached a new record high in 2024 before Trump’s second term began.Preliminary data shared by the CDC in July suggests that life expectancy probably hit another record high in 2025.CNN has reached out to HHS for clarification on Kennedy’s comments.Claim that Democrats ‘lost 360,000 children’Speaking about Democrats, Kennedy said: “They somehow lost 360,000 children and they turned our federal government into the biggest child trafficking operation in world history.”Trump and other Republicans have made similar claims. But there’s no basis for the assertion that Democrats “lost” so many children or that the federal government was engaged in human trafficking.A 2024 report from the inspector general for the Department of Homeland Security said Immigration and Customs Enforcement had reported that more than 32,000 unaccompanied migrant children failed to appear as scheduled for immigration court hearings after being released or transferred out of custody between fiscal years 2019 and 2023 – a period that, notably, includes two years and four months under the first Trump administration. The report also said that 291,000 unaccompanied migrant children during this period were not given notices to appear in court.The report said that ICE had “no assurances” these children “are safe from trafficking, exploitation, or forced labor.” But it did not say all the children were actually “lost” and did not definitively assert that any of them were trafficked – let alone that the government was somehow involved in a trafficking operation. And, again, the report spanned parts of both a Republican administration and a Democratic administration.Aaron Reichlin-Melnick, senior fellow at the American Immigration Council, told CNN in 2024: “Long story short, no, there are not 320,000 kids missing. 32,000 kids missed court. That doesn’t mean they’re missing, it means they missed court (either because their sponsor didn’t bring them or they are teenagers who didn’t want to show up). The remaining 291,000 cases mentioned by the (Office of the Inspector General) are cases where ICE hasn’t filed the paperwork to start their immigration court cases.”Vance on inflation, crime and taxes on Social SecurityA false claim about the media and Biden-era inflationVice President JD Vance mocked the media during part of his speech on Thursday. But he made a false claim about Biden-era inflation while lampooning how the media supposedly challenged him over another false claim on that subject.Vance said: “The president and I would go during a campaign, we’d say, ‘You know, inflation is as high as it’s been in 100 years,’ and the fake news would say, ‘No, no, no, it’s as high as it’s been in 68 years.’ That ain’t good, ladies and gentlemen.”Mainstream journalists, at least, wouldn’t say that inflation under Biden was as high as it had been “in 68 years.” Rather, CNN and others noted that peak inflation under the Biden administration, 9.1% in June 2022, was the highest in about 40 years.Vance is entitled to make his general point that this correction still doesn’t make Biden-era inflation sound good, but his specific number was, again, wrong. And he didn’t acknowledge that inflation fell sharply under Biden after hitting the 40-year high, declining to 2.9% in Biden’s last full month in office, December 2024, and 3.0% in January 2025, when Trump and Vance were inaugurated.The rate was 3.4% in July 2026, the most recent month for which data is available.Trump didn’t end taxes on Social SecurityVance claimed, “We’ve ended taxes on Social Security.” Several other convention speakers, including Rep. Lisa McClain of Michigan, Rep. Ryan Mackenzie of Pennsylvania and Ohio House candidate Derek Merrin, similarly said the administration has achieved “no tax on Social Security.”It hasn’t. The big domestic policy bill Trump signed in 2025 did create an additional, temporary $6,000-per-year tax deduction for individuals age 65 and older (which phases out for individuals earning $75,000 per year or more), but as the White House has implicitly acknowledged, millions of Social Security recipients will continue to pay taxes on their benefits even before the temporary new deduction expires after 2028.The Social Security Administration said in 2025 that “the bill ensures that nearly 90% of Social Security beneficiaries will no longer pay federal income taxes on their benefits.Claim about violent crime rate under BidenWhile criticizing the Biden administration, Vice President JD Vance claimed Thursday that the US “became a country where violent crime exploded, unless, of course, you could afford private security.”But violent crime did not explode under Biden. In fact, as FactCheck.org reported last month, data collected and published by the FBI shows that the national violent crime rate was at a lower level in 2023 and 2024, the last two full calendar years of Biden’s term, than it was in 2020, the last full calendar year of Trump’s first term. The year 2020 was highly unusual in many ways – violent crime jumped amid the Covid-19 pandemic – but Biden nonetheless left office with violent crime lower than it was when he took over. In fact, the 2024 violent crime rate was even lower than the 2019 rate under Trump before the pandemic.There was an increase in violent crime during the earlier part of Biden’s term. But given the subsequent decline, it’s misleading at best to claim violent crime “exploded” with no further context.Asked earlier this month about Trump’s similar previous claims to have reversed a Biden-era upswing in violence, crime data expert Jeff Asher said in an email: “No, crime began dropping significantly in 2023 during the Biden administration. Murder fell at record rates in 2023, 2024 and 2025 and, while 2026 may not feature a record decline nationally, it is still on track to see a sizable double-digit decline this year. Violent crime similarly fell nationally in 2023 and 2024, though the drops were more muted than the decline that was recorded by the FBI in 2025.”Other GOP speakersMike Johnson’s false claim about the inflation Republicans inherited from BidenSome other speakers at the convention took aim at inflation under Biden. House Speaker Mike Johnson claimed that “Republicans inherited from the Biden administration record-high inflation.”That’s not true. The inflation rate was 2.9% in Biden’s last full month in office, December 2024, and 3.0% in January 2025, when Trump took over. That’s lower than the most recent rate, 3.4% in July 2026, and nowhere close to the all-time record of 23.7%, which was reached in 1920, or the highest point of Jimmy Carter’s presidency, 14.8%, which was reached in 1980.Johnson correctly said moments later that inflation reached “a 40-year high of 9.1% inflation” under Biden. But a 40-year high is not an all-time record. More importantly, Johnson didn’t explain that 9.1% was much higher than the rate Trump inherited or that the 9.1% rate occurred in June 2022, with roughly two-and-a-half years left in Biden’s term.The cumulative increase in prices from the beginning of the Biden administration to the end was also not the highest in US history. Federal figures show that beginning-to-end inflation under Biden was less than half of that during Carter’s term.What Johnson left out of his claim about a congressional resolutionWhile attacking Democrats as extreme, Johnson said: “Just last week, nearly every Democrat in the House of Representatives voted against condemning socialism and Marxism. They voted against it.”But the resolution didn’t use the word “Marxism.” And Johnson didn’t mention that the resolution wasn’t only about condemning socialism. Rather, it contained other language that Democratic leadership said was the focus of the party’s opposition to the resolution.The resolution’s first provision said it “condemns and denounces socialism in all its forms, including the Democratic Socialists of America, and opposes the implementation of socialist policies in the United States.” But its fifth provision said it “calls for enactment of the SAVE America Act,” Trump’s favored elections bill, which contains various provisions opposed by many Democrats.So while it’s very possible many Democrats would have opposed the resolution even without its expression of support for the SAVE America Act, the call to pass this elections bill served as a poison pill that ensured most Democrats wouldn’t support it.“House Resolution 1490 explicitly calls for enactment of the so-called SAVE America Act, which is the top legislative priority of far-right extremists,” Democratic House leader Hakeem Jeffries said in a statement last week.A New Mexico candidate left out key context in an attack on his opponentGreg Cunningham, a Republican House candidate in New Mexico, used some of his Thursday speech to criticize his Democratic opponent, Rep. Gabe Vasquez. Cunningham said of Vasquez: “He even voted against a resolution honoring the sacrifices and service of the brave men and women in law enforcement who protect, every day, our communities.”But Cunningham left out important context about the resolution. While its focus was expressing support for law enforcement, its preamble contained statements praising the Trump administration and criticizing “leftist activists,” “progressive politicians” and “sanctuary city policies” for allegedly making law enforcement less safe.In other words, a House member might vote against such a resolution, as the vast majority of Democrats did, because they disagreed with conservative components of it, not the general expressions of support for law enforcement. (CNN has reached out to Vasquez’s campaign and House office for comment on his vote.) It’s common for parties to write resolutions in a way that would make it difficult for opponents to support but would open those opponents to campaign attacks if they voted “no.”An Ohio candidate’s misleading attack about Democrats and votingMerrin, the Republican candidate running against Democratic Rep. Marcy Kaptur for a House seat in Ohio, claimed in his speech, “While Democrats talk about letting illegal immigrants vote in our election, Republicans fight for proof of citizenship, photo ID and fair elections.”It’s a big country, so it’s possible some Democrat somewhere is talking about letting undocumented people vote in some election. But Merrin’s claim is misleading at best. There is no proposal from Democrats in Congress to let undocumented people vote in the 2026 midterms – the election Merrin appeared to be referring to when he said “our election” – or vote in future federal elections.CNN has reached out to Merrin’s campaign for an explanation of his claim.House Majority Leader Steve Scalise invoked a similar theme in his speech Wednesday, claiming that Democrats had voted last week “to allow illegals to vote in our federal elections.” But there was no congressional vote on letting undocumented immigrants vote in any elections.Rather, there was a vote on the non-binding Republican resolution that included multiple provisions, including one that “reiterates the notion that American elections are for American citizens only,” one supporting Trump’s favored elections bill and one denouncing socialism.Opposing that multi-clause resolution doesn’t necessarily mean someone supports voting by any non-citizens, let alone non-citizens in the country illegally.This article has been updated with additional items.CNN’s Deja Oliver contributed to this report.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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