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Steven Pinker engagement report

@sapinker - 861K followers on X

Measured over 47 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.015%
of 861K followers
Per impression
0.427%
31K views on a typical post
Reach
3.59%
of its followers see a post
Typical post
132
interactions (median)
Saved
0.142%
44 bookmarks on a typical post
Posting rate
5.13/day
active 70% of days
Peak time
14:00 UTC
Friday

A typical post picks up 132 interactions against 861K followers, an engagement rate of 0.015%. Measured over 47 original posts, its engagement rate beats 40% of 20,444 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 31K times each, and 0.427% of those impressions turn into an interaction. That is about 3.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 47 posts sampled, 21% carry an image or video, 32% are part of a thread and 85% link out. The account's strongest tracked post pulled 47K interactions, about 358x its own typical post.

Measured over 47 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

Steven Pinker's engagement rate beats 40% 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 28% 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 0.015%, Steven Pinker sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 14:00 UTC, and Friday 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 111%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%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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video21% of posts+111%+108% to +115%34K
Outbound link85% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 21% 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.
  • 85% 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 355 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

  • Aug 20, 2026358x their median

    なんと動いてません https://t.co/On5qeeT6Y1

    41K4.7K42391023M viewsView on X
  • Jan 26, 202655x their median

    I spoke with @LaulPatricia about Marxism: One is: What’s remarkable is that Marxism has been tried. Now, of course, defenders of Marxism say it hasn’t really been tried anywhere, but certainly the people who implemented it claimed they were implementing Marxism. And this is a massive experiment—a global experiment—with a very clear outcome. Namely, the Soviet Union was a disaster. The imposition of communism on Eastern Europe was a disaster. The imposition of communism in Venezuela was a disaster. The imposition of communism in Maoist China was a disaster. Disaster in terms of both poverty and oppression and genocide and stupid wars. So the world has told us what happens under communism, and it’s a sign of how out of touch intellectuals can be that there are still people who defend it despite the entire world giving a very clear-cut answer. One more is: would you rather live in North Korea or South Korea? Would you rather live in the old East Germany or West Germany? We have an experimental group and a matched control group in terms of culture, language, and geography, and the answer is crystal clear. So this is a sign of, I think, the pathology of intellectual life—that Marxism can persist. The other is, you did call attention to one of the appeals of Marxism, though, and more generally of heavy, strong influence of government guided by intellectuals, which is that there are certain kinds of reforms that you can state as principles. You can articulate them verbally as propositions—like equality, human rights, democracy—but there’s other kinds of progress that take place in massive distributed networks of millions of people, none of whom implements some policy. But collectively, there is an order, an organization that’s beneficial. So that can happen organically through, for example, the development of a language. No one designed the English language. It’s just hundreds of millions of English speakers. They coin new words. They forget old words. They try to make themselves clear. And we get the English language and the other 5,000 languages spoken on earth. Likewise, a market economy is something where knowledge is distributed. You don’t have a central planner deciding how many shoes of size 8 will be needed in a particular city, but rather information is conveyed by prices, which are adjusted according to supply and demand. And you’ve got a distributed network of exchange of information that can result in an emergent benefit. Now, intellectuals tend to hate that. They like rules of language—of correct grammar. They like top-down economic planning. They like cultural change that satisfies particular ideals described by intellectuals. And so rival sources of organization, like commerce, like culture—traditional culture—tend to be downplayed by intellectuals. And this can be magnified by the fact that many dictatorships give a privileged role to intellectuals, which may be why, over the course of the 20th century, and probably continuing to the present, there has not been a dictator that has not had fans among intellectuals—including the mullahs and ayatollahs of Iran, but also the communist dictators: Mao and Castro, even Stalin in his day. And every other dictator has had, actually, often fawning praise from Western intellectuals.

    7.0K2.0K05331.1M viewsView on X
  • Aug 22, 202665x their median

    If you're an academic (and can prove it with an ORCID), consider signing a petition protesting the University of Ghent's suspension of a postdoc for exposing academic misconduct, a blatant violation of academic freedom (as always, regardless of your agreement with all of the whistleblower's views). https://t.co/bkZ98z609Q https://t.co/UrjFnA93Sk

    7.3K1.0K03001.1M viewsView on X
  • Aug 20, 202622x their median

    Is Biology Allowed to Explain Anything? Even a sex difference as obvious as throwing strength? Robert Deaner & Mike Lombardo: "The strong Blank Slate—the idea that human psychology is largely written by culture—has been declared dead many times. Yet it refuses to stay dead. ... Today, biology is usually acknowledged. Nature and nurture interact. Fine. But the Blank Slate survives through two recurring moves. First, reasonable observations—that traits are plastic, parents influence children, experience matters, and development mediates behavior—are treated as though they rule out an innate contribution. They do not. Second, evidence that could challenge a socialization-only explanation is ignored, minimized, or sidestepped." https://t.co/rTpWIA0BO1

    2.5K371030721K viewsView on X
  • Aug 17, 202616x their median

    "There’s a common view in left-wing and right-wing populisms that solving problems is very easy intellectually and you just need to defeat and disempower the bad people. This is not a view that would survive serious learning about the history of basically any policy topic. It’s actually quite hard to learn what works and why and to implement good ideas at scale. The Woke 1 problems of dogmatism, incuriosity, closed-mindedness, and sloppiness about the facts are not solved by switching the focus from identity to economics or by becoming right-wing. You need to actually behave less dogmatically, more curiously, more open-mindedly, and more rigorously, and I don’t see a lot of evidence that the discourse is moving in that direction." | Woke 1 is dead. We’ve learned nothing, by @mattyglesias https://t.co/flnKTmfIxV

    1.7K388048144K viewsView on X
  • Sep 18, 202615x their median

    Is AI really going to kill us all? The scenarios are preposterous, and the presumption of inevitability encourages fatalism, panic, and distraction from the more mundane and realistic safety challenges. By @clairlemon https://t.co/QFkwoRNHmP

    1.8K188241299K viewsView on X
  • Aug 11, 202615x their median

    Non-heterosexuals tend to have worse mental health compared to heterosexuals. Is this due to minority stress–stigma and discrimination? In a new study, we should that the answer is “mostly not.” Link to the article in the next post, followed by an explanatory thread. (1/n)

    1.7K2125544368K viewsView on X
  • Aug 23, 202615x their median

    Much of the vilification of Israel acting in self-defense is unjust, but the terrorism against Arab villages in the West Bank by settler thugs, tolerated by the Netanyahu government, is horrific. It deserves harsh criticism pressure to stop it. https://t.co/D6FTyNODZL

    1.7K249018204K viewsView on X
  • Sep 5, 202613x their median

    Powerful essay by Ahmed Fouad Alkhatib: "A Palestinian miracle on the Mediterranean is within reach if Gaza rejects Islamism, Jihadism, Hamas and stale nationalist notions, all of which have left it devastated. Will those in the West who express support for Palestinians finally abandon their sloganeering about “resistance”? Effective pro-Palestinian advocacy can speak out against Israeli actions without the futile pursuit of Israel’s destruction." https://t.co/JZOWkFi6Vq

    1.4K240071104K viewsView on X
  • Sep 20, 202612x their median

    How therapy culture made us neurotic and quarrelsome. (Three insights on human nature from the late Robert Trivers are germane: Even the most intimate of human relationships have deep conflicts of interest (resolving them once and for all is impossible); people are self-deceived (so inevitably perceive themselves as selfless and others as selfish); men and women are not interchangeable. https://t.co/UoXlJ8UIg9

    1.3K251119105K 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 132 interactions against 861K followers, an engagement rate of 0.015%. Measured over 47 original posts, its engagement rate beats 40% of 20,444 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 31K times each, and 0.427% of those impressions turn into an interaction. That is about 3.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 47 posts sampled, 21% carry an image or video, 32% are part of a thread and 85% link out. The account's strongest tracked post pulled 47K interactions, about 358x its own typical post.

What is Steven Pinker's engagement rate on X?
Steven Pinker (@sapinker) has an engagement rate of 0.015%, based on the median interactions across 47 original posts from the last 30 days against 860,724 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, Steven Pinker sits above the 10th percentile of the 204,956 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 @sapinker have real engagement?
Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 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 @sapinker post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 5.13 posts per day across the measured window.

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