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gary taubes engagement report

@garytaubes - 122K followers on X

Measured over 1 original post from a 30-day window, last computed on October 5, 2026.

Engagement

Per follower
0.256%
of 122K followers
Per impression
1.69%
18K views on a typical post
Reach
15.1%
of its followers see a post
Typical post
312
interactions (median)
Saved
0.504%
93 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
18:00 UTC
Sunday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 312 interactions against 122K followers, an engagement rate of 0.256%. Posts are seen about 18K times each, and 1.69% of those impressions turn into an interaction. That is about 15.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 12K interactions, about 39x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 5, 2026.

Where this sits in the catalog

At 0.256%, gary taubes sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 18:00 UTC, and Sunday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 1090 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jul 2, 202639x their median

    🇳🇴 A velocidade do Haaland. https://t.co/veZYXJfeVq

    11K7901801293.1M viewsView on X
  • Jan 1, 20241.7x their median

    1960: < 2 million Americans with diagnosed diabetes Today: 30 million* Is this a problem that can be solved by drug therapy? There must be a better way My new book, Rethinking Diabetes, is out Jan 2 https://t.co/PCS7FIhH15 #diabetes #wefightdiabetes * https://t.co/ANDoI2oEKP @diabetesdaily @ADA_DiabetesPro @IntDiabetesFed @JoslinDiabetes @diaTribeNews @Diabetescouk @BeyondType1 @DiabetesCanada @ADCESdiabetes @Diabetes_DRI @martymakary @samiinkinen @bretschermd @davidludwig @lowcarbgp @robbwolf @drjasonfung @KenDBerryMD @SBakerMD @drmarkhyman @shellenberger @DrJBhattacharya

    3869634961K viewsView on X
  • Jun 16, 2026

    Early research suggests that some mental health conditions could stem from metabolic disorders. If so, the findings could change how we treat mental illness https://t.co/hUUyHjtazy

    261772225171K viewsView on X
  • Apr 27, 2026

    You may think of the high-fat, low-carb eating plan as a faddish way to lose weight. But the keto diet is now being used to tackle conditions from severe depression to bipolar disorder and anorexia, with transformative results https://t.co/0dva7j2ggY

    274611020176K viewsView on X
  • Sep 6, 2026

    In the past two years, 14 studies have exploited the same remarkable natural experiment: the end of sugar rationing in Britain in 1953. All have come to essentially the same conclusion: greater exposure to sugar early in life is associated with more chronic disease decades later—diabetes, heart disease, cancer, depression, dementia, and more. These studies aren’t appearing in obscure journals. They’re being published in Science, the BMJ, PNAS, the American Journal of Clinical Nutrition, Nature Communications, and elsewhere. Meanwhile, @tamarhaspel of the @washingtonpost confidently tells us in a recent column: “The real problem with sugar is simply that we like it.” So why the confidence? And what do we do with this remarkable body of new evidence? Ultimately, the question is one we’ve been arguing about for decades: Should we treat sugar as a chronic toxin—or as a benign indulgence that becomes harmful only because it provides excess calories? Is Sugar Toxic? Can It Cause Cancer? CHD? Frailty? Dementia? Read the post on Uncertainty Principles https://t.co/AtduqMgpPK

    2475211218K viewsView on X
  • Aug 23, 2026

    I've never been a fan of the American Heart Association's version of the diet-heart hypothesis. But what if they're right? Shouldn't we all work diligently to lower our LDL by diet? Let's work through the numbers and see what we have to gain. If you're curious about how a public health campaign acknowledging "negligible benefit" for most of us became the foundational proposition of our dietary wisdom, read on... Lowering LDL: Surely, a “Heart-Healthy” Diet is Worth the Effort. Isn’t it? https://t.co/4kyTTE26Il

    1231516315K viewsView on X
  • Jun 3, 2026

    New study offers hope for anorexia nervosa. The first-ever pilot trial of ketogenic therapy for anorexia nervosa was just published. Here's what @GuidoFrank and his research team at @UCSDMedSchool found. 🧵 https://t.co/HxNyuCCpZ0

    1093558234K viewsView on X
  • Jul 4, 2026

    How do GLP-1 drugs cause weight loss? If they work by suppressing appetite or increasing satiety (which I don't buy), the notion that they accomplish that by delaying gastric emptying doesn’t stand up to scrutiny. At least not in the first actual test of the assumption. https://t.co/povnIwW5JE

    881425849K viewsView on X
  • May 17, 2026

    A new FDA-tracked pill promises to extend dogs' lives by improving their insulin sensitivity and lowering their insulin levels. But if lower insulin is the key to a longer canine life, maybe our dogs shouldn't be eating carb-rich kibble in the first place. The history of longevity trials — in Labrador retrievers, in rhesus monkeys — suggests that what they eat matters more than how much. So why are we waiting for a drug to solve a problem that diet might already answer? https://t.co/4QrC6xHnzb

    90201144.8K viewsView on X
  • Jun 4, 2026

    🧐Be sure to join me June 12 at 1:30pm ET for the next talk in the NIH Scientific Freedom Lecture Series, titled “Energy Balance or Fuel Partitioning? A History Lesson in the Science of Obesity Pathogenesis, and Its Implications.” I’ll be joined by Gary Taubes, a science journalist and historian, to discuss how nutrition, fitness, and other factors like genetics influence obesity risk. NIH staff can attend in person in the Masur Auditorium of NIH’s Building 10. The public is invited to attend virtually via webcast. ➡️ https://t.co/FMntApWaOE

    91209238K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 312 interactions against 122K followers, an engagement rate of 0.256%. Posts are seen about 18K times each, and 1.69% of those impressions turn into an interaction. That is about 15.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 12K interactions, about 39x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is gary taubes's engagement rate on X?
gary taubes (@garytaubes) has an engagement rate of 0.256%, based on the median interactions across 1 original posts from the last 30 days against 121,891 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.256%, gary taubes sits above the 50th percentile of the 205,374 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @garytaubes have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @garytaubes post?
Most posts go out around 18:00 UTC, and Sunday is its busiest day, at roughly 0.07 posts per day across the measured window.

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