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Sergei Guriev engagement report

@sguriev - 162K followers on X

Measured over 1 original post from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.03%
of 162K followers
Per impression
0.774%
6.3K views on a typical post
Reach
3.91%
of its followers see a post
Typical post
49
interactions (median)
Saved
0.221%
14 bookmarks on a typical post
Posting rate
0.23/day
active 17% of days
Peak time
15:00 UTC
Sunday

Early reading. We have captured 1 original post 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 49 interactions against 162K followers, an engagement rate of 0.03%. Posts are seen about 6.3K times each, and 0.774% of those impressions turn into an interaction. That is about 3.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% 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 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 188 interactions, about 3.8x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 25, 2026.

Where this sits in the catalog

At 0.03%, Sergei Guriev sits above the 25th percentile of the 212,825 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile83.0%

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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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 233 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

  • Apr 9, 20263.8x their median

    Our paper (with Emeric Henry, @ThoMarquis , and @ezhuravskaya ) “Curtailing False News, Amplifying Truth” just got accepted in Econometrica! The paper studies how to curb false news on social media without suppressing circulation of true information https://t.co/BxNQ3LhiM5 1/8

    160242215K viewsView on X
  • Jun 25, 20263.1x their median

    Time is no longer on Putin's side in his war with Ukraine. But he may not realize this: the country has no independent press, and Putin’s advisers are afraid of delivering bad news to him. My oped for Project Syndicate @ProSyn https://t.co/uldtfA62sY

    1122314114K viewsView on X
  • Apr 29, 2026

    В моем позавчерашнем интервью Евгении @albats мы обсуждаем мои недавние исследования о роли социальных сетей, дезинформации в интернете, пропаганды и цензуры в автократиях и противодействия режиму со стороны меньшинства https://t.co/mb2PUo8elq в треде ссылки на публикации 1/6

    5992012K viewsView on X
  • Jun 22, 2026

    Огромное спасибо издательству BABook за то, что оно опубликовало русский перевод нашей книги "Диктаторы обмана". Для читателей из РФ и Беларуси издательство публикует свои бестселлеры бесплатно. Сегодня началась публикация и Диктаторов обмана https://t.co/XQojkNPr7l 1/3

    576215.6K viewsView on X
  • Sep 27, 2026

    We (Emeric Henry, @ThoMarquis, @ezhuravskaya, and I) are thrilled that our paper "Curtailing False News, Amplifying Truth" has finally come out in Econometrica @ecmaEditors Live at https://t.co/MvB5U01tQ4 ! https://t.co/VTcia95WKR

    451306.3K viewsView on X
  • Apr 30, 2026

    Мое выступление в клубе ЗИМА 5 марта - про глобальную экономику, геополитику, искуственный интеллект и будущее образования https://t.co/tMuRkf2BD1

    454006.0K viewsView on X
  • Apr 19, 2026

    ❗️На этой неделе в реестр «иноагентов» внесли одного из наиболее выдающихся современных химиков — Александра Кабанова. Это лишь часть продолжающейся атаки на научное сообщество Кабанов, которого Минюст внёс в реестр «иноагентов», с 1990-х годов живёт в США. Он работает в Университете Северной Каролины, где занимает должность заслуженного профессора и возглавляет Центр нанотехнологий в доставке лекарств. Кабанов опубликовал более 350 научных работ и имеет не менее 36 патентов США. Суммарное цитирование его работ превышает 57 000, а индекс Хирша — 120. При этом Кабанов внёс значительный вклад в создание новых направлений науки и в России, отметил в разговоре с «Эхом» физик Андрей Ростовцев, сооснователь сообщества «Диссернет». 💬 «Он действительно болел за свое дело и делал всё возможное, чтобы создать научную школу, помогать молодым ученым публиковать результаты своих работ в престижных международных изданиях. К сожалению, сегодня Россия ведет себя подобно варвару, демонстративно унижая тех, кто ранее оказывал ей всестороннюю помощь и поддержку», — сказал он. По словам Ростовцева, условия продолжительной войны позволили «выйти на поверхность посредственности, как в политике, так и в сфере науки и образования». 💬 «Один мой хороший знакомый говорил, что раньше эту посредственность можно было легко загнать тапком обратно под плинтус, из-под которого она выползала. Но теперь в атмосфере разлагающейся правовой среды такое противодействие стало невозможным и даже опасным. Ведущие мировые научные центры один за другим становятся в России нежелательными, развитые в научном плане страны — недружественными и враждебными. Не удивительно, что отдельные ученые, сохранявшие контакты с русскоязычной аудиторией, тоже получают клеймо "иноагентов". Это симптом очень опасной болезни», — говорит Ростовцев. На прошлой неделе в перечень «нежелательных организаций» был внесён Стэнфордский университет, а глава Минобрнауки Валерий Фальков требует от российских вузов отправить в армию 2% студентов.

    194119.1K viewsView on X
  • Aug 11, 2026

    Вместе с сайтом BABook мы объявили конкурс на лучшее микроэссе о Прекрасной России Будущего. https://t.co/9JIxZufPxt Лучшие ответы на вопрос "Как Вы представляете себе Прекрасную Россию Будущего? Страну, в которой Вы хотели бы жить?" получат отличные призы - книги из Бабука!

    163505.7K 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 49 interactions against 162K followers, an engagement rate of 0.03%. Posts are seen about 6.3K times each, and 0.774% of those impressions turn into an interaction. That is about 3.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% 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 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 188 interactions, about 3.8x its own typical post. Only 1 original post 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 Sergei Guriev's engagement rate on X?
Sergei Guriev (@sguriev) has an engagement rate of 0.03%, based on the median interactions across 1 original posts from the last 30 days against 162,172 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.03%, Sergei Guriev sits above the 25th percentile of the 212,825 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 @sguriev have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @sguriev post?
Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 0.23 posts per day across the measured window.

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