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PsyPost.org engagement report

@PsyPost - 211K followers on X

Measured over 36 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Bottom quarter for its size
Per follower
0.011%
of 211K followers
Per impression
0.842%
2.8K views on a typical post
Reach
1.32%
of its followers see a post
Typical post
24
interactions (median)
Saved
0.322%
9 bookmarks on a typical post
Posting rate
2.47/day
active 23% of days
Peak time
18:00 UTC
Saturday

A typical post picks up 24 interactions against 211K followers, an engagement rate of 0.011%. Measured over 36 original posts, its engagement rate beats 25% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.8K times each, and 0.842% of those impressions turn into an interaction. That is about 1.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Saturday is the busiest day of the week. Of the 36 posts sampled, 53% carry an image or video and 47% link out. The account's strongest tracked post pulled 219 interactions, about 9.1x its own typical post.

Measured over 36 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

PsyPost.org's engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 38% 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 0.011%, PsyPost.org sits above the 10th percentile of the 205,152 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 205,152 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 18:00 UTC, and Saturday 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video53% of posts+111%+108% to +115%34K
Outbound link47% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 53% 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.
  • 47% 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 275 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 11, 20269.1x their median

    A large study found that a history of multiple depressive episodes is tied to heightened brain activity during emotional processing. The findings suggest each episode leaves a biological signature, increasing vulnerability to future relapses. https://t.co/yJXOIeoPLg

    16148826.7K viewsView on X
  • Sep 10, 20266.8x their median

    Adults who experienced emotional abuse in childhood often battle destructive thought patterns like rumination and emotional avoidance. A new study suggests that chronic shame serves as the psychological bridge linking early maltreatment to these harmful… https://t.co/aofIjU0J91

    13126347.7K viewsView on X
  • Sep 11, 20263.7x their median

    New research suggests that higher doses of the weight-loss drug semaglutide might lower the risk of developing certain mental health conditions. Surprisingly, this psychiatric benefit appears to be independent of how much weight a person actually loses. https://t.co/OBdMRqxLZo

    7114124.2K viewsView on X
  • Sep 11, 20263.6x their median

    A recent study in Psychological Science suggests that human beings have a deep-seated need to feel their actions matter. This drive, emerging as early as age four, motivates us to choose effortful tasks over easy ones. https://t.co/CYXqJUOo25

    6715223.8K viewsView on X
  • Oct 4, 20263.3x their median

    New research shows that feeling your social group is ignored by society triggers deep anger and anxiety. These emotions can lead to political mobilization, a desire for strong leaders, and support for punitive policies. dlvr.​it/TVmXJJ https://t.co/Wr4QiY9OSQ

    4919654.9K viewsView on X
  • Sep 12, 20262.8x their median

    A new study finds you don't need to lift heavy to see mental health benefits. Researchers discovered that both standard and low-intensity strength training significantly reduced depressive symptoms in young women experiencing high levels of anxiety. https://t.co/nLA0XvlGZJ

    5014303.0K viewsView on X
  • Sep 11, 20262.8x their median

    Being actively rejected and being silently ignored both cause social pain, but they trigger different forms of dark creativity. A recent psychological study reveals how specific types of social exclusion shape our desire for creative revenge. https://t.co/HZIaUolXB8

    5112223.3K viewsView on X
  • Sep 12, 20262.5x their median

    Getting to know someone can ease loneliness, but new research shows it physically alters brain alignment in surprising ways. When people of different generations make art together, their neural synchronization takes a completely unexpected path. https://t.co/qzd0o95CMp

    4711102.6K viewsView on X
  • Oct 4, 20262.2x their median

    Evaluating the health records of over 2.​5 million children, researchers found no evidence that receiving the measles, mumps, and rubella vaccine before age two increases the risk of a childhood autism diagnosis. dlvr.​it/TVmYlS https://t.co/AtKyzJXC5a

    3613133.4K viewsView on X
  • Oct 3, 20262.2x their median

    We often overestimate how divided our political opponents are from us. New research shows that highlighting shared trajectories of opinion change can soften partisan animosity, provided we don't dwell on today’s existing political gaps. dlvr.​it/TVmJDj https://t.co/bAUNQ2hLoX

    4012013.8K 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 24 interactions against 211K followers, an engagement rate of 0.011%. Measured over 36 original posts, its engagement rate beats 25% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.8K times each, and 0.842% of those impressions turn into an interaction. That is about 1.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Saturday is the busiest day of the week. Of the 36 posts sampled, 53% carry an image or video and 47% link out. The account's strongest tracked post pulled 219 interactions, about 9.1x its own typical post.

What is PsyPost.org's engagement rate on X?
PsyPost.org (@PsyPost) has an engagement rate of 0.011%, based on the median interactions across 36 original posts from the last 30 days against 210,903 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, PsyPost.org sits above the 10th percentile of the 205,152 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 @PsyPost have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @PsyPost post?
Most posts go out around 18:00 UTC, and Saturday is its busiest day, at roughly 2.47 posts per day across the measured window.

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