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Andrew D. Huberman, Ph.D. engagement report

@hubermanlab - 1.9M followers on X

Measured over 50 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.033%
of 1.9M followers
Per impression
0.439%
141K views on a typical post
Reach
7.52%
of its followers see a post
Typical post
620
interactions (median)
Saved
0.206%
292 bookmarks on a typical post
Posting rate
4.47/day
active 100% of days
Peak time
14:00 UTC
Monday

A typical post picks up 620 interactions against 1.9M followers, an engagement rate of 0.033%. Measured over 50 original posts, its engagement rate beats 66% of 3,774 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 141K times each, and 0.439% of those impressions turn into an interaction. That is about 7.52% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 50 posts sampled, 68% carry an image or video, 18% are part of a thread and 18% link out. The account's strongest tracked post pulled 7.1K interactions, about 11x its own typical post.

Measured over 50 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Andrew D. Huberman, Ph.D.'s engagement rate beats 66% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 35% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.033%, Andrew D. Huberman, Ph.D. sits above the 25th percentile of the 36,378 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 14:00 UTC, and Monday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 11, 202611x their median

    Positive doorstep footage for once. And the delivery person doesn’t selfie. Respect. https://t.co/uPFFGrnENv

    6.8K1785022259K viewsView on X
  • Aug 1, 202610x their median

    The whole body MRI thing is controversial for obvious reasons. It’s costly & there are a lot of false positives. But I have neurosurgeon friends who tell me they do life-saving surgeries *every month* b/c people got full body MRI merely b/c they curious & found operable issues.

    5.6K1843831083.9M viewsView on X
  • Aug 2, 20267.4x their median

    Know why there are so many fewer clinical studies of LSD than other psychedelics (not talking ibogaine; that’s another issue)? Because it lasts so long and most lab employees just won’t/can’t stay that long. Seriously.

    4.3K9616915609K viewsView on X
  • Aug 3, 20266.6x their median

    The risks of many diseases are linked to birth order, as seen in over 10 million siblings https://t.co/y2WILxpJxL https://t.co/jgOmhm5oxR

    3.5K38588105869K viewsView on X
  • Aug 3, 20265.4x their median

    The Blue Zones—places where people supposedly live past 100 at extraordinary rates—aren't real. A 🧵 on what went wrong: bad record keeping, pension fraud, and lots of money.

    2.6K4041571288.8M viewsView on X
  • Aug 16, 20264.8x their median

    My conversation with @travisk, founder of Atoms and Uber. 0:00 Building Atoms & the Meta Problem of Management 3:51 The Appeal of Impossible Problems: Starting Over in China 12:19 Uber vs. Didi: Copycats, Hypergrowth & China's Rules 21:02 How Network Effects Become an Efficiency Fortress 31:48 Capitalism vs. the Taxi Cartel 44:05 The China War Goes Global & the Entrepreneur's Capacity for Pain 54:04 Life After Uber: Lawfare, Media Narratives & Reputation 58:21 What Founders Get Wrong About Venture Capital 1:08:35 The Fundraising Playbook: QED Storytelling & a Five-Room Auction 1:18:38 The Uber Coup, Radical Accountability & Outgrowing Fear 1:26:42 Why Specialized Robots Beat Humanoids at Industrial Scale 1:31:30 Finding Your Sport: Food, Mining & the Physical AI Stack 1:40:14 How to Build Many Companies Inside One Company 1:46:33 Entropy, Civilization & the Meaning of Progress Includes paid partnerships.

    2.4K2511521742.4M viewsView on X
  • Aug 22, 20264.2x their median

    Simple exercise to focus your mind and stop worrying: – Draw a line down the middle of a piece of paper – Left side: everything you're concerned about (world events, opinions, outcomes) – Right side: everything you can directly influence – The right side will almost always have just one thing: yourself – Break "yourself" down: how you think, how you speak to yourself, how you plan your day – Do this exercise once a month, or whenever sticky thoughts wake you up at 3am Retired Navy SEAL @AndyStumpf77 on @hubermanlab

    2.4K202199665K viewsView on X
  • Aug 17, 20264.1x their median

    Did you know attention help regulates your immune response? "Our findings therefore establish a causal link between attention and immune regulation in vivo, suggesting that processes often considered autonomously regulated, such as inflammatory responses, are influenced by the voluntary allocation of attentional resources." https://t.co/MfuXj97yhm

    2.2K2585695557K viewsView on X
  • Aug 12, 20263.1x their median

    Lulu (@lulumeservey) is the best in the world at what she does. She’s the go-to comms strategist for Silicon Valley and many of the top founders in tech trust her. She’s an advocate for going direct, has built a singular career and shares everything she’s learned. 0:00 From China to America 2:08 Learning to Read the Room 6:18 Building a Movement 7:30 Learning Comms by Doing 10:50 Anduril as an Insurgent 15:07 The Power of a Manifesto 18:47 Go Direct 26:45 Conviction Over Charisma 31:30 Why Rostra Exists 33:23 How AI Leaders Lose Trust 40:40 Tell a Better Story 47:55 Do Things That Can't Be Faked 50:55 The Return to Beauty 57:11 Originality Over Templates 1:04:02 Do What Only You Can Do 1:07:14 The Jetsons Rule 1:10:41 Trust Yourself 1:12:29 Why Humans Crave Stories Includes paid partnerships.

    1.6K13893691.0M viewsView on X
  • Aug 14, 20263.2x their median

    Travis Kalanick says new media is why he's back after eight years of silence: "The media landscape 10 years ago, 90% of what was said was very negative. Business had become politics, and we didn't know it... If it bleeds, it leads, right?" "Now the media landscape is like, 'yeah, you don't have to talk to those guys.' You can go and talk to a David Senra. You can go and talk to Joe Rogan or name your guy, and you can say what you need to say." "Elon buying Twitter is the beginning of us being able to speak our minds and for disagreeing to not be illegal. That's a big deal. We should all thank Elon for that." "I want to build. I want to not think about what The New York Times is writing when I make decisions about what I build. I had to emulate what it's like being a capitalist in Russia... and that's what I did for eight years." @travisk

    1.6K10575621.1M 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 620 interactions against 1.9M followers, an engagement rate of 0.033%. Measured over 50 original posts, its engagement rate beats 66% of 3,774 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 141K times each, and 0.439% of those impressions turn into an interaction. That is about 7.52% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 50 posts sampled, 68% carry an image or video, 18% are part of a thread and 18% link out. The account's strongest tracked post pulled 7.1K interactions, about 11x its own typical post.

What is Andrew D. Huberman, Ph.D.'s engagement rate on X?
Andrew D. Huberman, Ph.D. (@hubermanlab) has an engagement rate of 0.033%, based on the median interactions across 50 original posts from the last 30 days against 1,877,468 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.033%, Andrew D. Huberman, Ph.D. sits above the 25th percentile of the 36,378 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 @hubermanlab have real engagement?
Its engagement rate beats 66% of the tracked X accounts closest to it in follower count (3,774 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @hubermanlab post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 4.47 posts per day across the measured window.

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