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David Pogue engagement report

@Pogue - 1.2M followers on X

Measured over 4 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Per follower
0.01%
of 1.2M followers
Per impression
0.383%
31K views on a typical post
Reach
2.61%
of its followers see a post
Typical post
118
interactions (median)
Saved
0.093%
28 bookmarks on a typical post
Posting rate
0.17/day
active 17% of days
Peak time
01:00 UTC
Sunday

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 118 interactions against 1.2M followers, an engagement rate of 0.01%. Posts are seen about 31K times each, and 0.383% of those impressions turn into an interaction. That is about 2.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 100% link out. The account's strongest tracked post pulled 9.3K interactions, about 88x 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 28, 2026.

Where this sits in the catalog

At 0.01%, David Pogue sits above the 10th percentile of the 212,805 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video75% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 75% 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.
  • 100% 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 236 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

  • May 23, 202688x their median

    Steve Jobs roasting Windows for having 17 different versions 😂💀 (WWDC 2007) https://t.co/5thbGzYM3D

    8.9K2596440638K viewsView on X
  • Mar 10, 202610x their median

    PUBLICATION DAY! This morning, “Apple: The First 50 Years” appeared in bookstores, on front porches, in e-book apps, and on audiobook sites. Two years of work, 150 interviews, 360 color photos, 600 pages, and an absolutely gorgeous result! https://t.co/AhV0V75ABp

    8971045523147K viewsView on X
  • Oct 7, 20264.6x their median

    When I reported my "@CBSSunday Morning" story on the fears of an AI apocalypse, I could not get one interview out of my head. It was with @DKokotajlo, who resigned from OpenAI when he became alarmed at its recklessness. Today, he's one of the clearest, smartest, most thoughtful thinkers about the AI endgame. Here's a transcript. https://t.co/SxMGHv3IgT

    4299612535K viewsView on X
  • Aug 23, 20263.6x their median

    Here's my cover story for "@CBSSunday Morning" today: The explosion of ticks in the U.S.—and the new(ish) disease alpha-gal syndrome, which gives you a violent allergy to MEAT (beef, pork, lamb, veal, etc.). I will never again walk in nature without the special socks! https://t.co/b9TRczBN68

    3276520758K viewsView on X
  • Sep 17, 20263.5x their median

    For today's “Pogue’s Posts" column, I tested the new AI Siri. HARD. It missed a few out of my 125 tasks—but some of its triumphs were jaw-dropping. If you can get into the habit of using Siri, you'll do a lot less opening apps, fumbling around, and wasting time. https://t.co/HbzcTgIhHK

    3542827769K viewsView on X
  • Feb 3, 20262.5x their median

    After 12 years, I'm back writing a weekly tech column! Free, no ads, no paywall. You can get it by email. Today's topic: Moltbook, the bizarre social-media network just for AI bots to talk to each other. It's freaking people out. https://t.co/oyEliGqE9y

    2393913627K viewsView on X
  • Jun 24, 20262.4x their median

    I wonder if it occurred to the @NYTimes's photographer that the Apple Watch can't measure your health data if it's worn (a) over two layers of clothing, and (b) on your ankle. https://t.co/A6jf5f9lsH

    2521121533K viewsView on X
  • Jul 25, 20262.1x their median

    Why did an American gate agent lie about the overhead bins being full—when they were 80% empty? In my new column, an airline pilot, a baggage specialist, and a gate manager explain the real reason behind the deception. https://t.co/PzOQolK7Qv https://t.co/qFPPK8cJMo

    204221512100K viewsView on X
  • Sep 9, 20262.1x their median

    Apple just unveiled its new folding phone: the iPhone Duo. Passport-sized when closed, 7.6-inch tablet sized when open. Here are the notes I took, for your summarizing pleasure. https://t.co/AmkB4HeCOs

    2032417126K viewsView on X
  • Sep 28, 20261.6x their median

    My new “Pogue’s Posts” column today: 24 hours of triumphs and failures in the life of using Siri AI. A real-world journal, to give you an idea of what life is like when you rarely even open apps. https://t.co/HkEEzkVXTR https://t.co/knNYgA52XS

    158194247K 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 118 interactions against 1.2M followers, an engagement rate of 0.01%. Posts are seen about 31K times each, and 0.383% of those impressions turn into an interaction. That is about 2.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 100% link out. The account's strongest tracked post pulled 9.3K interactions, about 88x 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 David Pogue's engagement rate on X?
David Pogue (@Pogue) has an engagement rate of 0.01%, based on the median interactions across 4 original posts from the last 30 days against 1,173,804 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, David Pogue sits above the 10th percentile of the 212,805 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 @Pogue have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Pogue post?
Most posts go out around 01:00 UTC, and Sunday is its busiest day, at roughly 0.17 posts per day across the measured window.

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