The Truth Seekers

A shocking headline claims intermittent fasting increases cardiovascular death risk by 91%—but what if the sensational story is almost entirely fiction? This episode exposes how a preliminary research abstract was transformed into dangerous medical advice, based on just 414 people and two days of dietary recalls. We'll unpack how media sensationalism distorts scientific research, revealing the massive gap between a viral statistic and actual scientific evidence. Listeners will discover how to critically evaluate health headlines, understand the difference between correlation and causation, and learn why the researchers themselves explicitly warned against interpreting their results as a definitive health risk. It's a masterclass in scientific skepticism and media literacy that could save listeners from making misguided health decisions. A quick note—the opinions and analysis shared on Truth Seekers are our own interpretations of published research and should not be used as medical, financial, or professional advice. Always consult qualified professionals for decisions affecting your health or wellbeing.

What is The Truth Seekers?

Truth Seekers: Where Data Meets Reality

Tired of sensational headlines and conflicting health advice? Join Alex Barrett and Bill Morrison as they cut through the noise to uncover what scientific research actually says about the claims flooding your social media feed.

Each week, Alex and Bill tackle a different health, nutrition, or wellness claim that everyone's talking about. From "blue light ruins your sleep" to "seed oils are toxic," they dig into the actual studies, examine the methodologies, and translate the data into plain English.

No agenda. No sponsors to please. No credentials to fake. Just two people committed to finding out what's really true by going straight to the source—the research itself.

Perfect for anyone who's skeptical of influencer health advice but doesn't have time to read every scientific study themselves. New episodes drop regularly, delivering clarity in a world full of clickbait.

Question everything. Verify with data. Find the truth.

Disclaimer: Truth Seekers provides educational content based on published research. Nothing in this podcast should be considered medical, financial, or professional advice. Always consult qualified professionals for decisions affecting your health and wellbeing.

**The 91% Scare: When Intermittent Fasting Headlines Ignored the Fine Print**

Alex: Right, so March 2024, headlines everywhere—and I mean everywhere—declared that intermittent fasting increased your risk of dying from heart disease by ninety-one percent.

Bill: Ninety-one percent.

Alex: Ninety-one percent. If you were eating within an eight-hour window.

Bill: And people absolutely panicked. I mean, millions of people do some form of intermittent fasting. That's a genuinely scary number.

Alex: It is scary. And I watched people I actually know abandon diets that were working for them. Like, properly working—they felt better, their doctors were happy with their numbers. And they saw "91% higher risk of cardiovascular death" and just... stopped.

Bill: Yeah, I mean, when you see a stat like that attached to the American Heart Association—because that's who put out the press release—

Alex: It was the AHA, yeah.

Bill: —it feels authoritative. It feels like settled science.

Alex: Wait. Hang on. Didn't we... didn't we talk about this one before?

Bill: Huh.

Alex: No, I'm serious. The fruit flies episode, wasn't it? The longevity one?

Bill: Oh, you're right. Yeah, we touched on it. But that was more about the animal studies contradicting human data, wasn't it?

Alex: Right, but we mentioned this study as the flip side—the scary human headline.

Bill: Okay, so why are we doing it again?

Alex: Because we only spent about two minutes on it, and people keep asking about it. I've had three messages in the last month alone. And honestly? I think it deserves a proper tear-down.

Bill: Fair enough. It's got enough problems to fill an episode.

Alex: Oh, it absolutely does.

Bill: Okay, so for people who haven't memorized our back catalog—

Alex: All twelve of you.

Bill: —let's start with what this study actually did. This was an analysis of NHANES data—that's the National Health and Nutrition Examination Survey—

Alex: Standard observational setup.

Bill: Yeah. Looking at about twenty thousand American adults over a median follow-up of... I want to say eight years? Let me check. Yeah, eight years. And they were looking at whether people's eating windows—like how many hours per day they actually ate—correlated with cardiovascular death.

Alex: And they found this hazard ratio of 1.91 for people eating within an eight-hour window compared to people eating over twelve to sixteen hours.

Bill: Right. And that 1.91 becomes "91% higher risk" in the headlines.

Alex: Which went absolutely viral.

Bill: But here's the first thing. Only 414 people out of that twenty-thousand-person study actually reported eating in an eight-hour window.

Alex: So that's what, two percent?

Bill: About two percent, yeah. And of those 414 people, only 31 actually died from cardiovascular causes during the entire follow-up period.

Alex: Thirty-one people.

Bill: Thirty-one.

Alex: The entire international panic was based on thirty-one deaths.

Bill: In a subgroup of 414. And when your numbers are that small, your confidence intervals get really wide. Statistical noise becomes—

Alex: Okay, but here's what I want to know. Who were these 414 people?

Bill: What do you mean?

Alex: I mean, when I was covering health stories and I'd see a tiny subgroup driving a massive headline, my first question was always: is that subgroup actually representative? Or are we looking at a weird outlier group and pretending it tells us something about everyone?

Bill: Mmm. That's fair.

Alex: Because that's what jumped out at me. Not even the small numbers—though that's bad—but who actually ends up classified as an "eight-hour eater" in this study?

Bill: Okay, so this is where the methodology gets really problematic. They identified who was in the eight-hour group based on two twenty-four-hour dietary recall questionnaires.

Alex: Two days of data.

Bill: Two days. From the first year of enrollment. And then they used that to classify people's eating patterns for the next eight to seventeen years of follow-up.

Alex: I'm sorry, what? They asked people what they ate on two random days and then assumed that represented their eating habits for the next decade?

Bill: That's the methodology.

Alex: That's... I mean, I could have two weird days where I skip breakfast and eat an early dinner because I had back-to-back meetings or I wasn't feeling well, and suddenly I'm permanently classified as someone who practices eight-hour eating?

Bill: Yeah.

Alex: For fifteen years?

Bill: For up to seventeen years, yeah. And this is actually in the official press release—Christopher Gardner from Stanford, who chairs the AHA's dietary guidance committee, explicitly said this creates "substantial uncertainty" in the classification.

Alex: That's not uncertainty, that's a completely broken methodology.

Bill: Well, I don't know if I'd say completely broken—

Alex: Bill.

Bill: I mean, it's bad. It's definitely bad. But observational studies always have measurement error. The question is whether—

Alex: No, this isn't normal measurement error. Normal measurement error is like, did you eat three ounces of chicken or four ounces? This is fundamentally misclassifying what people's eating patterns actually are.

Bill: Okay, yeah. That's fair.

Alex: You're not capturing actual intermittent fasting practitioners. You're capturing people who happened to eat in a restricted window on two specific days for any number of reasons that have nothing to do with intentional fasting.

Bill: Right. And when you look at the characteristics they did report, the eight-hour group had higher smoking rates, higher BMI, and was three to four times more likely to be Black—

Alex: Which matters because there are existing racial disparities in cardiovascular risk.

Bill: That have nothing to do with eating windows.

Alex: Right. Those are baseline risk factors that already predict worse outcomes.

Bill: And here's what they didn't measure. Shift work—which forces people into restricted eating windows and is independently associated with higher cardiovascular risk. Job demands. Exercise levels. Sleep quality. Diet quality, like whether you're eating nutritious food or absolute rubbish during that eight-hour window.

Alex: So you can't tell if the eating window is the problem or if all these other factors are causing both the weird eating pattern and the cardiovascular deaths.

Bill: That's the confounding problem. And there's also reverse causality—if someone already has early heart disease or cancer, they might naturally eat less because they're not feeling well.

Alex: So their illness caused the restricted eating.

Bill: Right. The study can't distinguish between those scenarios. That's just the fundamental limitation of observational research—you can show correlation, but you can't prove causation.

Alex: Which the headlines absolutely did not communicate.

Bill: No.

Alex: "Intermittent fasting linked to higher risk" very much sounds like "if you do this, this will happen to you."

Bill: Yeah. But here's what I think is the most remarkable part of this whole thing. The lead researcher, Victor Zhong, actually said in the official press release—

Alex: The same press release the media used?

Bill: The same one. He said, and I'm quoting: "Although the study identified an association between an eight-hour eating window and cardiovascular death, this does not mean that time-restricted eating caused cardiovascular death."

Alex: He put that in the press release.

Bill: It's right there.

Alex: The researcher himself is saying "don't interpret this as causal," and the media just... what, ignored it?

Bill: Completely. Gardner from Stanford also said the findings "need replication" and that "no specific dietary advice around restricted eating should be given based on this study alone."

Alex: So both experts involved in this research were actively trying to pump the brakes, and it got completely steamrolled by the ninety-one percent figure.

Bill: Well, to be fair to journalists—

Alex: Don't.

Bill: —the ninety-one percent is the news. "Eating pattern shows unclear association that needs more research" doesn't get clicks.

Alex: I know it doesn't get clicks. I used to write headlines. But that doesn't make it okay to misrepresent what the science actually shows.

Bill: No, you're right.

Alex: Because this is how you destroy public trust. People make real changes to their lives based on preliminary data, and then when more information comes out, it looks like scientists can't make up their minds.

Bill: When really it's that preliminary, low-quality evidence got promoted as definitive.

Alex: Exactly.

Bill: Although, and I do think this is worth saying—even with all these problems, there is a legitimate research gap here. We don't have long-term randomized trials on intermittent fasting. Most studies last a few months, not years.

Alex: Okay, but that's a different claim than "this study shows intermittent fasting is dangerous."

Bill: No, I know. I'm just saying there's a kernel of a real question buried in here.

Alex: But do you actually think this study moves us toward answering it?

Bill: What do you mean?

Alex: I mean, given how badly the eating patterns were measured, given the tiny numbers, given all the confounding—do you think this study tells us anything useful about long-term intermittent fasting? Or is it just noise?

Bill: I... huh. That's a good question.

Alex: Because I would argue it's actively misleading. It's not just "we need more research." It's "this specific study is so flawed that it shouldn't inform our thinking at all."

Bill: Okay, but here's my pushback. Even flawed studies can point to areas we should investigate more carefully. Like, the fact that we're relying on two days of dietary recall is terrible. But that tells us we need better long-term measurement of eating patterns. The fact that we can't control for all these confounders tells us we need randomized trials. So in that sense, even a flawed study can be useful for identifying what we don't know.

Alex: That's a very generous interpretation.

Bill: Maybe. But I think there's a difference between "this study proves harm" which is obviously wrong, and "this study is so flawed we should ignore it completely." It can be badly done and still point to legitimate unknowns.

Alex: Okay. I'll give you that. But then the conversation should be "we don't know about long-term effects and here's how we should study them properly," not "ninety-one percent increased risk."

Bill: Absolutely. Yeah, no, I'm with you on that.

Alex: Alright. So what does the actual scientific evidence say? The stuff that's not based on two days of dietary recall?

Bill: So we have dozens of randomized controlled trials looking at short-term effects—weeks to months. And those consistently show that intermittent fasting can lead to improvements in blood pressure, cholesterol, blood sugar.

Alex: Which are all cardiovascular risk factors moving in the right direction.

Bill: Right. Now, those benefits seem to be mostly driven by weight loss and calorie restriction rather than the timing itself—

Alex: So intermittent fasting isn't magic.

Bill: It's mostly just a way to control calories. But importantly, none of those trials showed harm.

Alex: Mmm.

Bill: No randomized trial has shown that intermittent fasting increases cardiovascular risk. And that's the gold standard for testing causation.

Alex: So the higher-quality evidence points toward potential benefits, at least short-term.

Bill: Yeah.

Alex: And this deeply flawed observational study is the outlier suggesting harm.

Bill: That's the current state of evidence, yeah.

Alex: What about people who stopped intermittent fasting because of these headlines? What should they actually be thinking about?

Bill: Okay, so if you're a generally healthy person, you've been doing intermittent fasting, you feel good, your health markers are stable or improving—like your doctor's checking your blood pressure, cholesterol, that sort of thing—there's no reason to panic based on this study.

Alex: Because the evidence we do have from controlled trials suggests you're probably fine.

Bill: Right. Now, if you have existing heart disease, or you're older and at risk for muscle loss, then yeah, talk to your doctor. Those are populations where we should be more cautious regardless.

Alex: Which is just reasonable clinical judgment.

Bill: Yeah, it's not based on this specific study. It's just general medical caution.

Alex: The actual risk calculation isn't "ninety-one percent higher risk of death."

Bill: It's more like "unclear long-term safety data, but short-term evidence looks okay, and if you're healthy and it's working for you, probably fine."

Alex: Which is a completely different message than what made the headlines.

Bill: Totally different.

Alex: You know what this reminds me of? Back when I was covering health stories, there was this constant pressure to have a definitive answer. Readers wanted to know: is this thing good or bad? And "we're not entirely sure yet, but here's what we know so far" was never an acceptable answer to editors.

Bill: Because it's not satisfying.

Alex: It's not. But it's often the truth. And I think that's what drives this kind of coverage. The desire for certainty where certainty doesn't exist yet.

Bill: Yeah. Although I will say, when I was doing A/B testing in tech, we had a rule: you don't ship based on one experiment, especially if it contradicts everything else you've seen. You investigate why that experiment gave weird results.

Alex: Okay, that's actually quite a good framework.

Bill: Right? Like, if one test says changing a button color increased conversions by ninety percent, but ten other tests showed no effect, you don't immediately change all your buttons. You ask what was different about that one test.

Alex: And probably your measurement was broken.

Bill: Usually your measurement was broken, yeah.

Alex: Which is exactly what happened here. The measurement—two days of dietary recall used to classify years of behavior—was broken.

Bill: And yet it became the basis for international health advice.

Alex: Well, not official advice. But advice in the sense that millions of people changed their behavior because of it.

Bill: Which is its own kind of public health impact.

Alex: Mmm. Anyway, what were we saying about the broader evidence?

Bill: Just that the RCT evidence shows short-term benefits, no long-term trials exist yet, and this observational study is too flawed to fill that gap.

Alex: Right. So the actual science on intermittent fasting is pretty straightforward. Short-term studies show potential benefits, long-term effects are still being studied, and if you're healthy and it works for you, there's no reason to panic.

Bill: That doesn't make for a very exciting headline, though.

Alex: No, but it's accurate. And accuracy matters more than clicks.

Bill: Most of the time.

Alex: Most of the time, yeah.

Bill: I mean, we're not exactly pulling massive numbers here.

Alex: Speak for yourself. I'm very popular.

Bill: Are you?

Alex: No. But I could be.

Bill: Sure.

Alex: I could be very popular if I wanted to be.

Bill: By lying about intermittent fasting?

Alex: I'd be great at it. "This one weird eating trick kills you ninety-one percent faster."

Bill: That's not how percentages work.

Alex: Close enough.