Back to @peterboghossian's profile

Peter Boghossian engagement report

@peterboghossian - 348K followers on X

Measured over 34 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Top quarter for its size
Per follower
0.149%
of 348K followers
Per impression
3.08%
17K views on a typical post
Reach
4.83%
of its followers see a post
Typical post
511
interactions (median)
Saved
0.172%
28 bookmarks on a typical post
Posting rate
3.37/day
active 60% of days
Peak time
20:00 UTC
Tuesday

A typical post picks up 511 interactions against 348K followers, an engagement rate of 0.149%. Measured over 34 original posts, its engagement rate beats 77% 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 17K times each, and 3.08% of those impressions turn into an interaction. That is about 4.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 34 posts sampled, 56% carry an image or video, 32% are part of a thread and 6% link out. The account's strongest tracked post pulled 98K interactions, about 192x its own typical post.

Measured over 34 original posts from a 30-day window, last computed on October 8, 2026.

Compared with accounts its own size

Peter Boghossian's engagement rate beats 77% 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 79% 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 0.149%, Peter Boghossian sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 20:00 UTC, and Tuesday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video56% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 56% 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.
  • 6% 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 193 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

  • Aug 21, 2026192x their median

    Greek Minister of Immigration called for shooting migrants, sinking boats with refugees, and urged denying them food and water. His name, Thanos Plevris 🇬🇷 https://t.co/gX91WXNPTu

    80K9.4K7.3K1.6K2.5M viewsView on X
  • Oct 7, 2026115x their median

    We believe that the West can awaken from its long slumber – and rekindle the fire that was first lit in ancient Greece millennia ago. https://t.co/gOi8VFQZgt

    48K7.8K1.8K8131.1M viewsView on X
  • Oct 1, 202685x their median

    France burning. Macron silent. EU silent. Labour silent. They’re always silent. They know what they have done. And have no idea how to get out of this horror show.

    35K6.9K1.0K147245K viewsView on X
  • Oct 4, 202669x their median

    If Musk hadn't bought Twitter, France's riots would be "mostly peaceful protests".

    32K2.8K14648198K viewsView on X
  • Sep 1, 202661x their median

    Just returned from a trip to Japan. In truth, I think modern Tokyo is one of the great accomplishments in civilizational history. It is the apex city. There are 40 million people living there with extremely high levels of *justified* social trust. It's incredibly clean, orderly, and safe, and yet it doesn't feel totalitarian--at least not if you behave yourself like a civilized person. The respect for individual freedom is clear and visible. Reaching such high levels of social harmony would be an accomplishment for a single neighborhood, but Tokyo happens to the biggest city in the world. The sheer size alone is unbelievable--the infrastructure alone boggles the mind--and yet it's coupled with ultra-high levels of social harmony. There's nothing else like it. Truly, it gives me some pride as a human. What an incredible thing we've accomplished.

    28K2.1K1.0K3132.0M viewsView on X
  • Oct 3, 202650x their median

    I have to be honest, I don't think even Le Pen can save France now. How exactly is she going to deport people when they will just riot like they are now? Will she have the balls to issue shoot to kill policies with the military? Does the military have the balls to follow such orders? I'm being serious. It's not going to be some civil door knocking and hand gesturing to the taxi. Same applies to us. Think about it.

    22K1.5K1.7K1431.1M viewsView on X
  • Aug 28, 202616x their median

    At a gym in Calgary, Canada that's 98% Indian. Every single person re-racks their weights and, as far as I can tell, wipes down the equipment after use. The place is spotless. https://t.co/rm278DGhRu

    6.7K1401.2K1403.1M viewsView on X
  • Sep 2, 202615x their median

    NEW: French researcher Stephanie Lamy exposes the network of “race realists” who hunted Jason Arday like prey, and the media who fell into his trap. If it seems like the news cycle has “moved on” from this story, ask yourself why? 🔗 below https://t.co/JP07ivs2OW

    5.2K2.1K57370253K viewsView on X
  • Oct 2, 202613x their median

    I’m making a prediction based on the current zeitgeist: in less than four years a new crusade will be launched from North America to free western Europe from the Marxists and radical Islamists. https://t.co/7LLuzQjq3v

    5.6K34991159175K viewsView on X
  • Sep 12, 20269.9x their median

    A few years back, a friend of mine looked into the 2018 American National Election Study pilot, and he found that every racial group felt warmth towards members of their own race, except for White liberals I wanted to see if that replicated and expand on it🧵 #1: It replicates https://t.co/xt3JlJkqGQ

    4.3K6158784203K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 511 interactions against 348K followers, an engagement rate of 0.149%. Measured over 34 original posts, its engagement rate beats 77% 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 17K times each, and 3.08% of those impressions turn into an interaction. That is about 4.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 34 posts sampled, 56% carry an image or video, 32% are part of a thread and 6% link out. The account's strongest tracked post pulled 98K interactions, about 192x its own typical post.

What is Peter Boghossian's engagement rate on X?
Peter Boghossian (@peterboghossian) has an engagement rate of 0.149%, based on the median interactions across 34 original posts from the last 30 days against 348,063 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.149%, Peter Boghossian sits above the 50th percentile of the 205,374 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 @peterboghossian have real engagement?
Its engagement rate beats 77% 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 @peterboghossian post?
Most posts go out around 20:00 UTC, and Tuesday is its busiest day, at roughly 3.37 posts per day across the measured window.

Keep going