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Crap Taxidermy engagement report

@CrapTaxidermy - 142K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.204%
of 142K followers
Per impression
4.13%
7.0K views on a typical post
Reach
4.93%
of its followers see a post
Typical post
289
interactions (median)
Saved
0.1%
7 bookmarks on a typical post
Posting rate
0.5/day
active 50% of days
Peak time
08:00 UTC
Thursday

A typical post picks up 289 interactions against 142K followers, an engagement rate of 0.204%. Measured over 14 original posts, its engagement rate beats 67% 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 7.0K times each, and 4.13% of those impressions turn into an interaction. That is about 4.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 4.3x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

Crap Taxidermy's engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 82% 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 0.204%, Crap Taxidermy 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 08:00 UTC, and Thursday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 0% 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 128 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Oct 7, 20254.3x their median

    Every generation must face its test. Tomorrow, I will speak to the challenge of our time, and how @Conservatives will face it head on. Join me, from 11am.

    941842031799K viewsView on X
  • Sep 6, 20261.8x their median

    'Dearest friend. I have endured yet another week in this cruel capitalist wasteland. Morale is low. Wine supplies are critical." https://t.co/ZPZRR0StnY

    457429310K viewsView on X
  • Sep 18, 20261.7x their median

    Go get 'em, it's Friday... https://t.co/M4ZHREUor1

    409596811K viewsView on X
  • Dec 25, 20251.5x their median

    All of the other reindeer used to laugh and call him names....So he killed them; killed them all. ............... Happy Christmas, have a great day x https://t.co/ZXZmrbp0VG

    391419017K viewsView on X
  • Sep 8, 20261.5x their median

    Yes Dave, yes it's Tuesday, yes it's 930am, yes I'm drinking and yes I'm wearing a tiara...any more questions??? https://t.co/yxtYsGhYIK

    37753558.5K viewsView on X
  • Sep 2, 2025

    https://t.co/rjBkWZwseQ

    3173513624K viewsView on X
  • Sep 2, 2025

    When you decide to surprise the wife by cleaning the house and she walks in and starts criticizing everything you still haven't done yet.. https://t.co/wnjmf1oa8B

    3063610515K viewsView on X
  • Sep 11, 2026

    When you have been drinking for two days solid and realise there is still the weekend to go... https://t.co/Kd49MXDXnE

    30832787.8K viewsView on X
  • Sep 3, 2025

    When you have given all you've got, and it's still only Wednesday.... https://t.co/2f0qbLumT0

    2853511514K viewsView on X
  • Dec 8, 2025

    When you're dead, You don't know you're dead. The pain is felt by others. The same thing happens when you're stupid. https://t.co/OxfK97LAC8

    282379512K 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 289 interactions against 142K followers, an engagement rate of 0.204%. Measured over 14 original posts, its engagement rate beats 67% 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 7.0K times each, and 4.13% of those impressions turn into an interaction. That is about 4.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 4.3x its own typical post.

What is Crap Taxidermy's engagement rate on X?
Crap Taxidermy (@CrapTaxidermy) has an engagement rate of 0.204%, based on the median interactions across 14 original posts from the last 30 days against 142,290 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.204%, Crap Taxidermy 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 @CrapTaxidermy have real engagement?
Its engagement rate beats 67% 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 @CrapTaxidermy post?
Most posts go out around 08:00 UTC, and Thursday is its busiest day, at roughly 0.5 posts per day across the measured window.

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