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Eric Weinstein engagement report

@ericweinstein - 1.1M followers on X

Measured over 18 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Top quarter for its size
Per follower
0.207%
of 1.1M followers
Per impression
1.08%
211K views on a typical post
Reach
19.1%
of its followers see a post
Typical post
2.3K
interactions (median)
Saved
0.11%
231 bookmarks on a typical post
Posting rate
1.93/day
active 77% of days
Peak time
02:00 UTC
Thursday

A typical post picks up 2.3K interactions against 1.1M followers, an engagement rate of 0.207%. Measured over 18 original posts, its engagement rate beats 82% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 211K times each, and 1.08% of those impressions turn into an interaction. That is about 19.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video and 17% link out. The account's strongest tracked post pulled 85K interactions, about 37x its own typical post. Recurring topics include #ai, #math.

Measured over 18 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #ai, #math.

Compared with accounts its own size

Eric Weinstein's engagement rate beats 82% of the tracked X accounts closest to it in follower count (20,444 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 49% 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 0.207%, Eric Weinstein sits above the 50th percentile of the 204,694 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 02:00 UTC, and Thursday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video44% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 44% 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.
  • 17% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 588 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

  • Dec 8, 202337x their median

    for a long time i said that antisemitism, particularly on the american left, was not as bad as people claimed. i'd like to just state that i was totally wrong. i still don't understand it, really. or know what to do about it. but it is so fucked.

    70K8.1K4.8K1.3K7.2M viewsView on X
  • Jul 10, 202633x their median

    If you are not willing to kill or die for your own most treasured values, you should think carefully before welcoming in migrants who would do both for theirs.

    50K7.1K9143371.3M viewsView on X
  • Oct 23, 202611x their median

    Seeing a lot of growing raw hatred against India, Indians, Hindus, Indian-Americans, etc. for no reason. Would be happy to have anyone who feels that hatred quietly unfollow me. Simple. Clean. Thanks in advance.

    19K1.3K5.6K5382.8M viewsView on X
  • Jun 1, 20258.2x their median

    What really happened on @PiersUncensored? You’d *never* believe it if I told you. Here: https://t.co/POBNuL300R

    15K1.8K2.0K3702.8M viewsView on X
  • Oct 2, 20264.6x their median

    What David Grusch said on @joerogan represents an entire strata of fairly consistent, highly specific overlapping stories told by many people over many years. If you are just hearing it now for the first time and are skeptical, you should know that there are generals, scientists, commandos, politicians', versions as well. It just goes on and on. You can't make it go away by saying "That particular guy has a mental problem." There are dozens of such sober sounding people with a breathtakingly enormous overlap. It would be the world's largest flash theater troupe of master actors. Or an emergent mass delusion. I find it all but impossible to explain. At some point you do have to ask: "What if I just take it literally?" That's not a huge improvement mind you (e.g. All aliens have tetrapod body plans??? Really????). But it's a kind of weird you have likely never experienced if you stare it in the face. No matter how you slice it. As I have been saying: something HUGE is up. And keep your eyes on New Mexico: Nukes-Trafficking-UAP-Physics-Espionage-"Drones". All the stories converge there.

    8.5K1.0K825143608K viewsView on X
  • Jul 12, 20266.8x their median

    Senator Graham's passed away this evening, just hours after he returned to Washington from Ukraine. A true shock. This was him in Kyiv just yesterday. https://t.co/QNuCRsnKXs

    7.9K1.0K4051053.1M viewsView on X
  • Jul 31, 20264.0x their median

    I think about this clip all the time. https://t.co/ePPvcSZzMr

    7.7K1.0K2841311.4M viewsView on X
  • Oct 17, 20263.7x their median

    FRANCE: Rioters have set fire to the historic City Hall in Limoges, France, causing its roof to burn and its clock tower to collapse. Built in 1883, the 143 year old landmark survived 2 world wars and was designated a protected historical monument in 1975. It’s gone now. https://t.co/m4MKZ2N6Nu

    6.1K1.4K589470981K viewsView on X
  • Aug 3, 20263.4x their median

    Karen Bass remains mayor of Los Angeles. How is that possible? https://t.co/yiJd9EaLLU

    6.7K32074540178K viewsView on X
  • Jul 8, 20265.2x their median

    Residents in Brooklyn, New York City, are being forced to listen to the amplified Islamic calls to prayer from nearby mosques, starting as early as 5:00 AM. https://t.co/Cq9Uw8A2uv

    5.1K1.5K8583011.3M 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.

Recurring topics

#ai#math

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 2.3K interactions against 1.1M followers, an engagement rate of 0.207%. Measured over 18 original posts, its engagement rate beats 82% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 211K times each, and 1.08% of those impressions turn into an interaction. That is about 19.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video and 17% link out. The account's strongest tracked post pulled 85K interactions, about 37x its own typical post. Recurring topics include #ai, #math.

What is Eric Weinstein's engagement rate on X?
Eric Weinstein (@ericweinstein) has an engagement rate of 0.207%, based on the median interactions across 18 original posts from the last 30 days against 1,102,516 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.207%, Eric Weinstein sits above the 50th percentile of the 204,694 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 @ericweinstein have real engagement?
Its engagement rate beats 82% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @ericweinstein post?
Most posts go out around 02:00 UTC, and Thursday is its busiest day, at roughly 1.93 posts per day across the measured window.

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