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Eric Weinstein engagement report

@ericweinstein - 1.1M followers on X

Measured over 6 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.249%
of 1.1M followers
Per impression
0.653%
418K views on a typical post
Reach
38.1%
of its followers see a post
Typical post
2.7K
interactions (median)
Saved
0.051%
212 bookmarks on a typical post
Posting rate
0.43/day
active 30% of days
Peak time
00:00 UTC
Sunday

Early reading. We have captured 6 original posts 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 2.7K interactions against 1.1M followers, an engagement rate of 0.249%. Posts are seen about 418K times each, and 0.653% of those impressions turn into an interaction. That is about 38.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video and 17% link out. The account's strongest tracked post pulled 58K interactions, about 21x its own typical post. Only 6 original posts 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 6 original posts from a 30-day window, last computed on September 1, 2026.

Where this sits in the catalog

At 0.249%, Eric Weinstein sits above the 50th percentile of the 36,378 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.432%.

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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 00:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
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

  • Jul 10, 202621x 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.

    50K7.1K9153361.3M viewsView on X
  • Jun 1, 20256.7x their median

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

    14K1.7K2.0K3632.7M viewsView on X
  • Jul 12, 20263.4x 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

    7.9K1.0K4061053.1M viewsView on X
  • Jul 31, 20263.3x their median

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

    7.7K1.0K2861311.4M viewsView on X
  • Aug 3, 20262.9x their median

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

    6.7K32375440178K viewsView on X
  • Jul 8, 20262.8x 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

    5.1K1.5K8623011.3M viewsView on X
  • Jul 27, 20262.5x their median

    Those of us bitterly opposed to communism fall into two different groups. A) Those who argue that it must be abandoned because it has show us that it doesn’t work. B) Those of us that are so bitterly opposed to collectivism applied to dissenting individuals that we are relieved that it *cannot* work. A happy accident. Those who don’t care if it *could* be made to work: we’d continue to fight it. Working or not working is irrelevant. It’s just bad. Period. The end. If Communism could actually be shown to deliver stable high levels of growth and innovation, broadly distributed, with low inequality, I believe I would still fight it to my dying breath. My opposition to communism has little to nothing to do with the fact that it doesn’t work as an economic system. So, it’s merely a relief that it doesn’t work. A convenience for its opposition. Communism and collectivism are intrinsically soul killing for people who are hyper-individualistic . So let’s stop hiding behind the fact that they don’t work as economic or governance systems. Some of us who aren’t the biggest fans of naked capitalism red of tooth and claw, hate communism not because we think capitalism is intrinsically fair. It isn’t. We oppose it because communism hunts the individual. For us, It’s not communism vs capitalism. That is a businessman’s argument. Instead, it’s communism vs individualism for me. Show me a system that fights harder to let a dissenting individual thrive more than brutal market capitalism (which also barely works), and I am all ears. Not everything is a market after all.

    5.3K743595137230K viewsView on X
  • Aug 6, 20262.1x their median

    Logan Airport. Massachusetts. Huh. Color me surprised. https://t.co/gDfS575PF9

    5.4K602569658K viewsView on X
  • Jul 17, 20261.9x their median

    JUST IN: China declares it has “never” interfered in U.S. elections.

    3.7K2681.1K265843K viewsView on X
  • Jul 29, 20261.6x their median

    No one is in academia for the money. Almost no one is in academia for the prestige. The only reason to be in academia is because you have a compulsive need to pursue the truth. If we can't call out bad actors, what are we even doing?

    3.7K323376124593K 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 2.7K interactions against 1.1M followers, an engagement rate of 0.249%. Posts are seen about 418K times each, and 0.653% of those impressions turn into an interaction. That is about 38.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video and 17% link out. The account's strongest tracked post pulled 58K interactions, about 21x its own typical post. Only 6 original posts 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 Eric Weinstein's engagement rate on X?
Eric Weinstein (@ericweinstein) has an engagement rate of 0.249%, based on the median interactions across 6 original posts from the last 30 days against 1,097,622 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.249%, Eric Weinstein sits above the 50th 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 @ericweinstein have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ericweinstein post?
Most posts go out around 00:00 UTC, and Sunday is its busiest day, at roughly 0.43 posts per day across the measured window.

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