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World of Statistics engagement report

@stats_feed - 5.1M followers on X

Measured over 277 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 5.1M followers
Per impression
0.675%
161K views on a typical post
Reach
3.17%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.035%
56 bookmarks on a typical post
Posting rate
10.03/day
active 60% of days
Peak time
13:00 UTC
Sunday

A typical post picks up 1.1K interactions against 5.1M followers, an engagement rate of 0.021%. Measured over 277 original posts, its engagement rate beats 59% of 3,739 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 161K times each, and 0.675% of those impressions turn into an interaction. That is about 3.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 10 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 277 posts sampled, 7% carry an image or video. The account's strongest tracked post pulled 34K interactions, about 31x its own typical post.

Measured over 277 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

World of Statistics's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,739 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 46% 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 0.021%, World of Statistics sits above the 25th percentile of the 36,261 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,137 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.431%
90th percentile2.10%
99th percentile160.7%

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 Sunday 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 6%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%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%71K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%229K
Monday0%284K
Tuesday-2%273K
Wednesday-1%250K
Thursday-2%243K
Friday-3%251K
Saturday+3%226K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

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  • Aug 30, 202612x their median

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    12K402132101490K viewsView on X
  • Aug 24, 202611x their median

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    11K653361102429K viewsView on X
  • Aug 22, 20269.4x their median

    šŸ‡µšŸ‡° One of the first hull losses of an F-16 happened when a Pakistani Air Force F-16 collided with a wild pig during takeoff.

    8.9K746296189796K viewsView on X
  • Aug 15, 20269.2x their median

    How old were you when you found out that your body makes urine from blood, not from the water in your intestines?

    9.0K54438475646K viewsView on X
  • Aug 16, 20267.1x their median

    šŸ‡²šŸ‡½ The true size of Mexico https://t.co/zQxojpov3f

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  • Aug 15, 20265.9x their median

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    5.9K26922974412K viewsView on X
  • Aug 27, 20265.9x their median

    šŸ‡ÆšŸ‡µ There are over 9 million vacant homes in Japan. Japan gives them away for free in some rural areas just to prevent neighbourhood collapse. They are called "akiya."

    5.4K61830972764K viewsView on X
  • Aug 14, 20264.8x their median

    šŸ‡µšŸ‡° Happy Independence Day, Pakistan!

    4.8K3451434356K 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 1.1K interactions against 5.1M followers, an engagement rate of 0.021%. Measured over 277 original posts, its engagement rate beats 59% of 3,739 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 161K times each, and 0.675% of those impressions turn into an interaction. That is about 3.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 10 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 277 posts sampled, 7% carry an image or video. The account's strongest tracked post pulled 34K interactions, about 31x its own typical post.

What is World of Statistics's engagement rate on X?
World of Statistics (@stats_feed) has an engagement rate of 0.021%, based on the median interactions across 277 original posts from the last 30 days against 5,067,924 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, World of Statistics sits above the 25th percentile of the 36,261 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 @stats_feed have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,739 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 @stats_feed post?
Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 10.03 posts per day across the measured window.

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