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Peter Glinski engagement report

@Glinskus - 95K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 16, 2026.

Engagement

Top 10% for its size
Per follower
3.24%
of 95K followers
Per impression
5.40%
57K views on a typical post
Reach
60.1%
of its followers see a post
Typical post
3.1K
interactions (median)
Saved
0.15%
86 bookmarks on a typical post
Posting rate
4.1/day
active 23% of days
Peak time
13:00 UTC
Monday

A typical post picks up 3.1K interactions against 95K followers, an engagement rate of 3.24%. Measured over 24 original posts, its engagement rate beats 97% 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 57K times each, and 5.40% of those impressions turn into an interaction. That is about 60.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 24 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 118K interactions, about 38x its own typical post. Recurring topics include #labourout, #startrek, #toriesout.

Measured over 24 original posts from a 30-day window, last computed on September 16, 2026. Recurring tags: #labourout, #startrek, #toriesout.

Compared with accounts its own size

Peter Glinski's engagement rate beats 97% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 87% 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 3.24%, Peter Glinski sits above the 90th percentile of the 204,956 accounts in this comparison. That places it in the top 10% band, which runs 2.55% to 82.4%.

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 13:00 UTC, and Monday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video50% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 50% 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.
  • 4% 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 248 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 23, 202638x their median

    Only an idiot would think these two cultures can coexist. https://t.co/4iQUKdCMlR

    100K17K8873261.3M viewsView on X
  • Feb 18, 20268.4x their median

    Karan Gupta, age 47, a Senior Director at Optum, a subsidiary of United Health Group, was found guilty after a six day trial on multiple counts, including fraud and money laundering conspiracy, for hiring an unqualified friend for a position where the friend did no work and paid half his unearned salary in kickbacks to Gupta, whose fraud totaled more than $1.2 million. @DMNnews Additional Details: https://t.co/7lJQGOX6cc

    17K4.6K8825261.8M viewsView on X
  • Sep 14, 20266.2x their median

    Absolutely me https://t.co/LI1J3eVjhh

    17K1.4K458161422K viewsView on X
  • Aug 23, 20266.0x their median

    Whoopsie. Bring your own lunch is my solid advice. https://t.co/nPsoDpdZvi

    13K2.3K3.1K423126K viewsView on X
  • Sep 13, 20263.6x their median

    This anti-AfD protest in Germany is the best advertisement for the party that I have seen https://t.co/6iaefaRzud

    8.7K1.5K5473482.8M viewsView on X
  • Sep 14, 20263.2x their median

    🚨 RON DESANTIS JUST CALLED FOR THE END OF H-1B. Not reform. Not higher wages. Not fewer visas. ELIMINATION. “I think we should eliminate H-1B visas in the United States, to be quite frank.” That is a sitting governor calling for the entire H-1B program to be abolished. Should Congress eliminate H-1B entirely? @RonDeSantis

    8.0K1.5K4209971K viewsView on X
  • Aug 23, 20262.5x their median

    WHAT KIND OF KING, SITS BACK AND SAYS NOTHING, ABOUT THE INDUSTRIAL SCALE RAPE OF OVER 250.000 BRITISH CHILDREN. BY PAKISTANI MUSLIM RAPE GANGS. ABOLISH THE TREACHEROUS MONARCHY NOW 👇 https://t.co/DZsXx5sl5i

    5.3K1.5K86613036K viewsView on X
  • Sep 15, 20262.5x their median

    Who are you saving??? https://t.co/m7TgNYRsKh

    575686.8K214154K viewsView on X
  • Sep 14, 20262.3x their median

    I’ve lived in Southend,Essex all my life When I was a boy we never had signs telling us not to defecate in public No one did it,so we didn’t need signs We now have people who do publicly defecate How have we benefitted by having these people live here What good do they bring https://t.co/GRz7g8Sfd3

    5.6K1.4K1923962K viewsView on X
  • Nov 18, 20252.3x their median

    🚨BREAKING! Can anyone say Bill Gates? Former BIOWEAPONS Contractor says “We Turned Ticks into a Poor Man’s Nuke” A Pentagon insider reveals! The U.S. military once bred ticks, fleas, and mosquitoes as bioweapons, loading them with plague, rabies, and other lethal diseases. The aim: a cheap ($1.33 per life), stealthy weapon to devastate populations and collapse healthcare systems. Oh, Bill is also trying to create a "Chemical Cloud" to help Cool the earth... 🤦‍♂️

    4.5K2.4K16389221K 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

#labourout#startrek#toriesout#trump_is_the_leader_of_the_maga_cult

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 3.1K interactions against 95K followers, an engagement rate of 3.24%. Measured over 24 original posts, its engagement rate beats 97% 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 57K times each, and 5.40% of those impressions turn into an interaction. That is about 60.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 24 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 118K interactions, about 38x its own typical post. Recurring topics include #labourout, #startrek, #toriesout.

What is Peter Glinski's engagement rate on X?
Peter Glinski (@Glinskus) has an engagement rate of 3.24%, based on the median interactions across 24 original posts from the last 30 days against 95,459 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 3.24%, Peter Glinski sits above the 90th 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 @Glinskus have real engagement?
Its engagement rate beats 97% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% 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 @Glinskus post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 4.1 posts per day across the measured window.

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