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hoe_math = PsychoMath engagement report

@ItIsHoeMath - 273K followers on X

Measured over 26 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Top 10% for its size
Per follower
1.99%
of 273K followers
Per impression
7.72%
70K views on a typical post
Reach
25.8%
of its followers see a post
Typical post
5.4K
interactions (median)
Saved
0.413%
290 bookmarks on a typical post
Posting rate
2.67/day
active 30% of days
Peak time
11:00 UTC
Saturday

A typical post picks up 5.4K interactions against 273K followers, an engagement rate of 1.99%. Measured over 26 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 70K times each, and 7.72% of those impressions turn into an interaction. That is about 25.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 11:00 UTC, and Saturday is the busiest day of the week. Of the 26 posts sampled, 19% carry an image or video. The account's strongest tracked post pulled 74K interactions, about 14x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on September 22, 2026.

Compared with accounts its own size

hoe_math = PsychoMath's engagement rate beats 97% 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 94% 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 1.99%, hoe_math = PsychoMath sits above the 75th percentile of the 205,475 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video19% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 19% 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 380 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 2, 202614x their median

    imagine not being a nerd, what the hell do people that don’t like comics, video games, movies and anime even do in their downtime

    65K8.4K6264621.1M viewsView on X
  • Sep 5, 20268.0x their median

    The Doctor who treated Lindsay Clancy has testified that there was never signs of psychosis https://t.co/aKyleAP3eL

    36K6.7K3874642.3M viewsView on X
  • Sep 5, 20267.2x their median

    The NYC knife lady is a perfect example of how latinas age https://t.co/Mk2iotMIId

    36K1.7K9802181.9M viewsView on X
  • Sep 1, 20262.6x their median

    If you are a white race mixer, I want you to remember that Mexico and India are the result of race mixing. Mexico was white Spaniards mixing with Central American natives India was steppe eurasians mixing with Australian aboriginals Black Americans are also black mixed with white The worst people in the world are created by race mixing because they lose their ability to be anything at all. They're not smart enough to be white but they are not satisfied with laying around outside anymore. They are trying forever to be white and falling short. Why would you curse your children to this eternal hell

    13K831483138831K viewsView on X
  • Sep 5, 20262.6x their median

    Based Japan. 🇯🇵 https://t.co/j82nPLNzN3

    11K2.8K108114531K viewsView on X
  • Sep 2, 20262.0x their median

    Blacks owe us a considerable amount in reparations.

    10K39713120260K viewsView on X
  • Sep 3, 20261.7x their median

    I (and most white people I've known) do not like living around non-whites. Non-whites do like living around us. They insist on it. What they want matters. But what we want does not matter. How can you talk to someone who believes this? What I want in my own country is not important, but what hoards of third worlders want in my country is important? What do you say to someone who tells you this is true? The time for talking has been over for decades.

    8.6K6241201590K viewsView on X
  • Sep 7, 2026

    We don't want to live around white people, we just want to go where the jobs are! We don't want to live around bees, we want to live near the honey! I don't like musicians, I just like music! I hate cooks and waiters! That's not why I go to a restaurant, I go for the food!

    7.5K49255671K viewsView on X
  • Sep 1, 2026

    "If you do X, Y will happen." BOOMER: "No, it won't." [Does X] [Y happens] BOOMER: "no one could have predicted this, but now I have learned it myself with my hard work" [Sends you the bill for Y]

    7.4K448681167K viewsView on X
  • Sep 1, 2026

    A liberal is just a clump of cells. It doesn't become a human until its brain develops to the point that it understands why health care can't be "free."

    7.3K462701369K 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 5.4K interactions against 273K followers, an engagement rate of 1.99%. Measured over 26 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 70K times each, and 7.72% of those impressions turn into an interaction. That is about 25.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 11:00 UTC, and Saturday is the busiest day of the week. Of the 26 posts sampled, 19% carry an image or video. The account's strongest tracked post pulled 74K interactions, about 14x its own typical post.

What is hoe_math = PsychoMath's engagement rate on X?
hoe_math = PsychoMath (@ItIsHoeMath) has an engagement rate of 1.99%, based on the median interactions across 26 original posts from the last 30 days against 272,679 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.99%, hoe_math = PsychoMath sits above the 75th percentile of the 205,475 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 @ItIsHoeMath 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 @ItIsHoeMath post?
Most posts go out around 11:00 UTC, and Saturday is its busiest day, at roughly 2.67 posts per day across the measured window.

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