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Channel

Саша Сулим

@sasha_sulim

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

58,011subscribers

-140 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001625133105
TypeChannel
Username@sasha_sulim
Descriptionпытаюсь понять «как жить», исследую людей, феномены повседневности и их влияние на поп-культуру пишите мне: @sasha_sulim_bot реклама: @achicheleva_bot РКН: https://knd.gov.ru/license?id=6759938a9d804a279b32ee26&registryType=bloggersPermission
Created28 August 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/sasha_sulim

Growth

58,01158,15158,0816 August 2026 — 58,151 subscribers6 August 2026 — 58,125 subscribers8 August 2026 — 58,116 subscribers9 August 2026 — 58,105 subscribers10 August 2026 — 58,099 subscribers11 August 2026 — 58,075 subscribers12 August 2026 — 58,074 subscribers13 August 2026 — 58,069 subscribers14 August 2026 — 58,054 subscribers16 August 2026 — 58,046 subscribers17 August 2026 — 58,011 subscribers6 August 202617 August 2026
11 measurements spanning 12 days, net -140. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 57,990–58,172 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 14:2458,011-35
16 Aug 2026, 06:2358,046-8
14 Aug 2026, 18:0658,054-15
13 Aug 2026, 08:4758,069-5
12 Aug 2026, 05:5558,074-1
11 Aug 2026, 02:5358,075-24
10 Aug 2026, 03:4158,099-6
9 Aug 2026, 03:1158,105-11
8 Aug 2026, 01:3258,116-9
6 Aug 2026, 22:2558,125-26
6 Aug 2026, 01:5058,151first reading

Engagement

13 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 26 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.6%
avg views ÷ 58,011 subscribers
Avg views / post
11,900
13 posts measured
Reaction rate
0.995%
reactions ÷ views · ER floor
Posts in window
13
of 13 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held13 (30 July 202617 August 2026)
Views total155,070
Reactions total1,543
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 23:21 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
4,210
Videos
404
Links
2,020

Lifetime counters from Telegram’s own channel header, read 17 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 07s
Average length
1m 07s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

1,543 reactions across 13 posts, in 17 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
68644.5%
🔥29419.1%
🤔1348.68%
❤‍🔥1046.74%
💔1036.68%
😱603.89%
👍503.24%
😁271.75%
🤬201.30%
🤣191.23%
💯130.843%
🙏100.648%
🕊80.518%
😢70.454%
👀40.259%
🌚30.194%
10.065%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 13 of the 13 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,543reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 30 July 2026 to 17 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

17 Aug 2026, 16:01 UTC≈2,960 views83 reactionsread 17 August 2026

объективация добралась и до мужчин. теперь их тоже оценивают (и отсеивают) по внешности. другими словами male gaze или «мужской взгляд» (способ изображения женщин в культуре и искусстве с позиции мужского восприятия и желаний) — теперь обращен в том числе на смотрящего. этот разворот фиксирует и статистика: мужчины стали в три раза чаще обращаться к косметологам и пластическим хирургам с запросом улучшить собственну

44🤔25🤣13🔥1

17 Aug 2026, 15:01 UTC≈3,530 views29 reactionsread 17 August 2026
Photo

На днях мне пришло письмо на почту с информацией, что результаты моего ДНК-теста обновились. Я, естественно, сразу полезла смотреть, что там могло измениться. Оказалось, что недавно вышло новое исследование – и теперь в результатах есть информация о том, как мой организм может отреагировать на препараты Оземпик и Мунджаро на основе семаглутида и тирзепатида. Я свою лотерею выиграла, рисков побочных эффектов нет. Са

🔥18🤔74

17 Aug 2026, 11:07 UTC≈4,650 views179 reactionsread 17 August 2026
Photo

вернулась из отпуска, и пока шарашит «отпускной блюз», напишу несколько наблюдений об этом прекрасном и таком коротком времени. во-первых, мой отдых «сделала» фраза, которую мы с психотерапевтом сформулировали накануне моего отъезда: снижаем важность каждого этапа по принципу "да и хуй с ним, если 5 из 10 уже ок" идеально снизило раздражение от невкусной еды и вида из окна. во-вторых, делюсь нехитрыми мыслями об от

❤‍🔥10253💔10💯9👍4😢1

10 Aug 2026, 08:59 UTC≈10,300 views147 reactionsread 17 August 2026
Photo

люди с домашними животными более привлекательны для потенциальных партнеров. этому посвящены многие опросы и исследования, результатами которых стали пользоваться обманщики/цы. чтобы привлечь к себе внимание они используют petfishin — используют чужих питомцев, чтобы познакомиться онлайн и начать романтические отношения. например, человек выставляет в приложение для знакомств фотку с золотистым ретривером своего дру

87😁27🤔21💔5😱4❤‍🔥21

10 Aug 2026, 07:57 UTC≈9,210 views45 reactionsread 17 August 2026
Photo

зачем нужен тру-крайм? у образовательной платформы Страдариум есть неожиданный ответ: он может помочь нам думать — видеть логику рассуждений, строить версии, разбираться в доказательствах и аргументах. сегодня в Страдариуме стартует курс "анатомия доказательства: логика, тру-крайм и ошибки мышления". его ведет философ и популяризатор логики Виктор Горбатов. каждая лекция — реальное дело, рассмотренное через призму

36🤔4👍3🕊2

6 Aug 2026, 12:20 UTC≈11,100 views87 reactionsread 17 August 2026
Photo

инфлюенсеры, которыми невозможно стать — а можно только родиться. речь идет о молодых аристократах (аристо-инфлюенсерах), которые делятся в соцсетях своей беззаботной жизнью и сочетают семейный контент с благотворительностью, модой и светскими мероприятиями. несмотря на то, что контент потомков титулованных семей может вызывать раздражение, модные дома с удовольствием зовут их на свои показы. на недавней неделе высо

49🤬18🤔11😢5👀4

6 Aug 2026, 07:43 UTC≈9,040 views69 reactionsread 17 August 2026
Forwarded from @goshakartsev

так увлекательно наблюдать за эксперементами Саши и образами. интересно куда это заведет? я бы пошел в эру Мадонны Ray of light наверное. https://t.me/sasha_sulim/6437

🔥4021😱4👍2🌚1🤣1

5 Aug 2026, 14:21 UTC≈9,830 views153 reactionsread 17 August 2026
Forwarded from @tvorcheskieplanyPhoto

🎬 Любители тру-крайм, ставьте напоминания: 12 августа на Netflix выходит документальный фильм о серийном убийце Чарльзе Мэнсоне. Мэнсон основал секту «Семья», члены которой совершили жестокие преступления. Самая громкая жертва — беременная актриса Шэрон Тейт, супруга Романа Полански. 9 августа 1969 года банда проникла в дом в Беверли-Хиллз, убили Тейт, троих её гостей и даже собаку. В фильме обещают показать редкие

🔥70😱4826👍7🌚2

5 Aug 2026, 08:23 UTC≈9,310 views188 reactionsread 17 August 2026

если вдруг увидите мужчину под 40, который рефлексирует о своем возрасте, сообщите мне пожалуйста! речь, конечно, не о мужчинах вообще, а о тех, кто рассуждает на эту тему публично и на русском языке. ни в коем случае не намекаю, что таких нет, но я больше чем уверена, что количественно их гораздо меньше, чем женщин. столкнулась с этим еще когда вела блог о жизни в статусе сингл. эту тему почему-то принято считать у

136👍31🤔18🤬2😢1

3 Aug 2026, 15:18 UTC≈53,300 views58 reactionsread 17 August 2026

Таня Столяр знает, как переворачивать игру и превращать свои слабости в свою супер пауэр. публично говорить про жир еще смелее, чем говорить про возраст, но Таня решила пойти ва-банк и написала книгу не про борьбу с лишним весом и не про важность боди позитива — она буквально дала слово своему жиру и позволила рассказать ему свою историю. в современном московском светском обществе на такое способен никто. https://t

30🤔22👍3🤣3

31 Jul 2026, 15:18 UTC≈10,900 views132 reactionsread 17 August 2026
Video

#чтоделать если близкий человек обвинил вас в своей смерти предлагаю обсудить в нашей еженедельной рубрике историю героини моего нового выпуска — о тех, чей родственник покончил жизнь самоубийством. в фрагменте выше Виктория рассказывает об отложенном 7-минутном видео, которое она получила, когда ее муж уже свел счеты с жизнью. в последнем сообщении супруг обвинил Викторию в своей смерти. скажу откровенно: в этом к

💔8832🙏10🔥1🤣1

31 Jul 2026, 09:56 UTC≈11,000 views252 reactionsread 17 August 2026
Photo

женщины преображаются после развода, чего не скажешь о мужчинах. так называемый «эффект развода» имеет научное подтверждение — ученые доказали, что расставание сильно увеличивает качество жизни женщины (при условии, что брак ее не устраивал). женщины со всего мира выкладывают свои фото в формате «до/после» — и разница действительно очевидна. подобные преображения можно найти не только в соцсетях, но и в российском ш

🔥12785🤔26🕊6💯4😱4

Showing the 12 most recent of 13 posts we hold for @sasha_sulim. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 81,797 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 7 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Алексей Пивоваров
@Alexey_Pivo_varov · 307,486
Telegram ranks this channel #23 of 94 here — alongside 93 others — read 10 August 2026
КОНТЕКСТ
@kontext_channel · 830,145
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 8 August 2026
Страдающее Средневековье
@pophistory · 140,725
Telegram ranks this channel #43 of 97 here — alongside 96 others — read 13 August 2026
Ок, ясно
@yasno_live · 111,287
Telegram ranks this channel #58 of 87 here — alongside 86 others — read 14 August 2026
СКЕТЧУП
@sketchup_parfenyuk · 129,326
Telegram ranks this channel #58 of 78 here — alongside 77 others — read 13 August 2026
Скажи Гордеевой
@skazhigordeevoy · 102,551
Telegram ranks this channel #61 of 98 here — alongside 97 others — read 15 August 2026
Это Файб
@etofaib · 203,343
Telegram ranks this channel #72 of 93 here — alongside 92 others — read 11 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q114022964 on Wikidata, read 16 August 2026
LabelSasha Sulim
DescriptionRussian journalist of Belarusian origin
X / Twitter@sasha_sulim
YouTubeUCXo65y5PbphZTk-IbHPn7_A

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 August 2026 — this entry's latest reading, not the date you are reading this.

“Саша Сулим” (@sasha_sulim), 58,011 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/sasha_sulim.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.