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Praying Medic engagement report

@prayingmedic - 388K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.05%
of 388K followers
Per impression
1.62%
12K views on a typical post
Reach
3.07%
of its followers see a post
Typical post
193
interactions (median)
Saved
0.084%
10 bookmarks on a typical post
Posting rate
2.17/day
active 23% of days
Peak time
15:00 UTC
Sunday

A typical post picks up 193 interactions against 388K followers, an engagement rate of 0.05%. Measured over 21 original posts, its engagement rate beats 52% of 6,874 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 12K times each, and 1.62% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 33% carry an image or video, 14% are part of a thread and 57% link out. The account's strongest tracked post pulled 13K interactions, about 65x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Praying Medic's engagement rate beats 52% of the tracked X accounts closest to it in follower count (6,874 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 61% 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 0.05%, Praying Medic sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video33% of posts+111%+108% to +115%34K
Outbound link57% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 57% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 260 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 31, 202665x their median

    The Florida Department of Transportation has just revoked all permits it has previously issued for license plate reading cameras, such as Flock, in the right of way of any state highway and will not issue new permits. Agencies have 30 days to remove the cameras. https://t.co/9AtxKJZM2i

    11K1.6K166213362K viewsView on X
  • Aug 29, 202631x their median

    Trump’s second term is massively underrated.

    5.5K26831834124K viewsView on X
  • Aug 25, 202618x their median

    CIA Director Ratcliffe’s visit to the Kremlin was an ultimatum addressing recent drone incursions into NATO territory, aimed at deterring Russia from escalating attacks on Kyiv following Ukrainian strikes on commercial supply chain warehouses, a senior US official has told Faytuks Network.

    2.8K4247172515K viewsView on X
  • Aug 27, 202612x their median

    DOJ is preparing to activate a ancient maritime war court that would allow federal prosecutors to claim oil and other cargo taken from enemy vessels as US property. The seized goods would be sold with proceeds transferred to the treasury.

    1.8K41933923K viewsView on X
  • Aug 30, 20264.9x their median

    The Russian Ministry of Defense issued this statement today: “In accordance with received instructions, the Armed Forces of the Russian Federation have begun preparations for massive strikes on Ukraine’s energy infrastructure, in response to ongoing attacks by the Kyiv regime on Russia’s civilian infrastructure and fuel and energy facilities.”

    7601352913104K viewsView on X
  • Aug 31, 20264.3x their median

    Transportation Secretary Sean Duffy announces a shutdown of 110 driving schools that account for 5,000 violations of English proficiency requirement. You have to speak English to operate a commercial motor vehicle. That rule has been in place for decades. https://t.co/iMtgYqvKZ7

    6451721648.8K viewsView on X
  • Aug 26, 20263.4x their median

    US officials exposed a major Chinese cyber-espionage campaign that compromised numerous federal agencies including NASA, the Federal Reserve, the DOJ, Department of Energy and the US Senate. Hackers affiliated with the Chinese military and intelligence services used a Chinese tech company to cover their tracks, burrow into target networks and make their attacks more efficient. Other targets include US military networks, hospitals, power companies and defense contractors, according to the Justice Department. The department tried to stop further damage on Wednesday by seizing three internet domains affiliated with the Chinese company. Federal agencies also plan to release an advisory on the hackers’ techniques so victim companies can kick the intruders out. The full impact of the spying effort was not immediately clear. Any counterintelligence assessments of the damage by US officials are likely to remain private due to security concerns. https://t.co/cRcMDrm8Y9

    44119814512K viewsView on X
  • Aug 25, 20261.6x their median

    Per the Wall Street Journal, CIA Director John Ratcliffe made a visit to Moscow to warn the Russian leadership in person against a new round of mobilization and further escalation against Europe and NATO. https://t.co/Eyo7Czm5yC

    2157425411K viewsView on X
  • Aug 30, 2026

    Word's getting out. https://t.co/DydDNCwhl0 https://t.co/LStOnROocn

    230427532K viewsView on X
  • Aug 28, 2026

    Russia's Foreign Ministry spokeswoman Maria Zakharova said Moscow may strike British military targets inside and outside Ukraine if Kyiv continues to fire long-range UK-made cruise missiles into Russia. https://t.co/WpPtialkob

    1776612112K 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 193 interactions against 388K followers, an engagement rate of 0.05%. Measured over 21 original posts, its engagement rate beats 52% of 6,874 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 12K times each, and 1.62% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 33% carry an image or video, 14% are part of a thread and 57% link out. The account's strongest tracked post pulled 13K interactions, about 65x its own typical post.

What is Praying Medic's engagement rate on X?
Praying Medic (@prayingmedic) has an engagement rate of 0.05%, based on the median interactions across 21 original posts from the last 30 days against 388,110 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.05%, Praying Medic sits above the 25th percentile of the 65,980 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 @prayingmedic have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (6,874 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 @prayingmedic post?
Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 2.17 posts per day across the measured window.

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