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Pablo Torre πŸ‘€ engagement report

@PabloTorre - 329K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Per follower
0.571%
of 329K followers
Per impression
0.312%
598K views on a typical post
Reach
182.9%
of its followers see a post
Typical post
1.9K
interactions (median)
Saved
0.034%
202 bookmarks on a typical post
Posting rate
2/day
active 33% of days
Peak time
00:00 UTC
Tuesday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 1.9K interactions against 329K followers, an engagement rate of 0.571%. Posts are seen about 598K times each, and 0.312% of those impressions turn into an interaction. That is about 181.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% link out. The account's strongest tracked post pulled 54K interactions, about 29x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on October 18, 2026.

Where this sits in the catalog

At 0.571%, Pablo Torre πŸ‘€ sits above the 50th percentile of the 212,482 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.696%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,482 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.9%

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 00:00 UTC, and Tuesday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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.
  • 50% 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 186 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

  • Sep 3, 202629x their median

    Accountability for the wealthiest people on Earth is hard to come by. Thank you for believing in the power of independent journalism to accomplish it. (And, yes, more to come.) https://t.co/xi8BD3MCzv

    48K4.4K5792421.5M viewsView on X
  • Sep 2, 202621x their median

    πŸ‘€

    35K1.9K565381966K viewsView on X
  • Sep 18, 20267.1x their median

    *whispers* bang https://t.co/wEJM9RbMyn

    13K2489117228K viewsView on X
  • Oct 15, 20265.8x their median

    *whispers* I did not plan all of this happening in the same week but tmrw’s @pablofindsout is as wild as any we’ve done

    10K434249161539K viewsView on X
  • Aug 29, 20264.5x their median

    I’m just glad that the 49ers PR guy finally got a fun one

    8.2K249155224K viewsView on X
  • Sep 16, 20263.8x their median

    Is there a sports bubble? @stavvybaby says private equity ruining franchises will have "football fans reading Karl Marx": "If they destroy the Lakers, guys with Kobe back tattoos are going to start f***ing, like, the proletariat revolution." https://t.co/nb0z1jbEAj

    6.4K5195043490K viewsView on X
  • Sep 2, 20263.2x their median

    Gonna go live at 6p ET on the @pablofindsout YT channel to react to the thing we've been reporting for 364 days. @DavidPSamson and @DarthAmin will join us. WE HAVE A LOT TO DISCUSS: https://t.co/uwSwLq6PRM

    5.1K492209111806K viewsView on X
  • Oct 13, 2026

    Hey @PabloTorre , I just saw your click bait story on my goat LeBron James. Your Jeremy Lin run is up. Put the beef and broccoli in the bag. Oh and don’t forget my duck sauce. Quit being a lame ass nigga. You ain’t on shit broke ass Chinese boy. You’re poor.

    1.5K704431582.1M viewsView on X
  • Aug 30, 2026

    Court 17 forever: https://t.co/FPBKS45rVX

    1.5K873110114K viewsView on X
  • Oct 16, 2026

    Good morning. We spent a night with the secret Wu-Tang album. And Method Man β€” the artist who’d never heard it, either. Until now πŸ‘€ https://t.co/bLqZnQmIL9

    1.3K1594632323K 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 1.9K interactions against 329K followers, an engagement rate of 0.571%. Posts are seen about 598K times each, and 0.312% of those impressions turn into an interaction. That is about 181.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% link out. The account's strongest tracked post pulled 54K interactions, about 29x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Pablo Torre πŸ‘€'s engagement rate on X?
Pablo Torre πŸ‘€ (@PabloTorre) has an engagement rate of 0.571%, based on the median interactions across 4 original posts from the last 30 days against 328,979 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.571%, Pablo Torre πŸ‘€ sits above the 50th percentile of the 212,482 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 @PabloTorre have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @PabloTorre post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 2 posts per day across the measured window.

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