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The New York Review of Books engagement report

@nybooks - 2.1M followers on X

Measured over 121 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 2.1M followers
Per impression
0.117%
9.4K views on a typical post
Reach
0.46%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.043%
4 bookmarks on a typical post
Posting rate
4.43/day
active 83% of days
Peak time
15:00 UTC
Monday

A typical post picks up 11 interactions against 2.1M followers, an engagement rate of 0.001%. Measured over 121 original posts, its engagement rate beats 13% of 3,862 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 9.4K times each, and 0.117% of those impressions turn into an interaction. That is about 0.457% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 121 posts sampled, 98% link out. The account's strongest tracked post pulled 284 interactions, about 26x its own typical post. Recurring topics include #euripides, #literature, #austen.

Measured over 121 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #euripides, #literature, #austen.

Compared with accounts its own size

The New York Review of Books's engagement rate beats 13% of the tracked X accounts closest to it in follower count (3,862 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 10% 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 0.001%, The New York Review of Books sits below the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 15:00 UTC, and Monday 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 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 16, 202626x their median

    "Like all ingenues, she is blonde and has precisely two enemies" I reviewed Maddie's Secret for the NYRB: https://t.co/jAF4c54mHl

    27742117K viewsView on X
  • Aug 21, 202612x their median

    “We don’t want to lose Socratic intellectualism. It’s an ethical theory worth considering that gets obscured with the image of Socrates as a skeptic.” —@AgnesCallard, in conversation with Merve Emre https://t.co/56iHZwjIQW

    98281324K viewsView on X
  • Aug 25, 202611x their median

    After reading Wolfgang Koeppen’s novels, “I wondered what on earth had just happened to me; it seemed I’d been tuned, sharpened, elasticized—reformulated with better neurons.” —Deborah Eisenberg https://t.co/Z8oqUg1iIz

    106151116K viewsView on X
  • Aug 25, 20268.4x their median

    Yiyun Li on Qian Zhongshu’s satirical masterpiece, Fortress Besieged https://t.co/CWlgtAcQlh

    79111118K viewsView on X
  • Jul 30, 20268.0x their median

    Our 8/20 issue is now online, with @DAMendelsohnNYC on the Odyssey, Michael Greenberg on the DSA, @OfficialMDanner on Trump in decline, @lmlauramarsh on John Lanchester, @DavidCole_Gtown on the Supreme Court’s power grab, a poem by Anne Carson & much more. https://t.co/9jikpQF6Hr

    2158548.9K viewsView on X
  • Aug 10, 20267.9x their median

    For @nybooks, on the road to the NYC rent freeze and what else is possible for a tenant movement adjusting to formal power. Many thanks to @elusivecorporal for edits, and to @caaav, @TenantBloc, @CASAbronx for allowing me a peek into their organizing ❤️‍🔥 https://t.co/CBBs9fHpn1

    6124116.9K viewsView on X
  • Aug 7, 20267.8x their median

    Attention #literature lovers! Starting 2 Sept I’ll be leading the fourth season of the @nybooks Seminars, this one a five-part series on the theme of “Unrequited Love,” from #Euripides to #Proust (via #Dante, #Goethe, #Austen, #Maugham). Signup info ⬇️ https://t.co/4WyN8YqnBR

    7013218.3K viewsView on X
  • Aug 29, 20264.4x their median

    Ever had an unrequited love? So did the ancients! On Sept 2 join Daniel Mendelsohn (@DAMendelsohnNYC) for a four-part seminar on mismatched love affairs in the world of Homer, Sappho, Euripides, Virgil, and more. https://t.co/aj7nVOHC5G

    4070117K viewsView on X
  • Aug 17, 20263.7x their median

    Daniel M. Lavery (@daniel_m_lavery) on John Early’s ingenue in Maddie’s Secret https://t.co/BvWMLZUHet

    3920019K viewsView on X
  • Aug 31, 20263.5x their median

    “Ironically, as I’ve developed a deeper relationship with Iran and more expertise about the country, it has become riskier for me to return.” —Nahid Siamdoust, interviewed by Janhavi Munde https://t.co/m7cuCCn4ew

    3171018K 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.

Recurring topics

#euripides#literature#austen#dante#dido

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 11 interactions against 2.1M followers, an engagement rate of 0.001%. Measured over 121 original posts, its engagement rate beats 13% of 3,862 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 9.4K times each, and 0.117% of those impressions turn into an interaction. That is about 0.457% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 121 posts sampled, 98% link out. The account's strongest tracked post pulled 284 interactions, about 26x its own typical post. Recurring topics include #euripides, #literature, #austen.

What is The New York Review of Books's engagement rate on X?
The New York Review of Books (@nybooks) has an engagement rate of 0.001%, based on the median interactions across 121 original posts from the last 30 days against 2,054,823 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, The New York Review of Books sits below the 10th percentile of the 37,582 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 @nybooks have real engagement?
Its engagement rate beats 13% of the tracked X accounts closest to it in follower count (3,862 accounts), which puts it in the bottom quarter 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 @nybooks post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 4.43 posts per day across the measured window.

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