Telegram RegisterThe public register of Telegram

Channel

Михаил Дементьев. Кинетический интеллект

@kintellect

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

36,534subscribers

-61 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001367153588
TypeChannel
Username@kintellect
DescriptionНевербальная коммуникация и язык тела. youtube.com/@kintellect Одобрено Роскомнадзором https://gosuslugi.ru/snet/678d1b5ea0ce00512829a46f
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/kintellect

Growth

36,53436,59536,564.57 August 2026 — 36,595 subscribers7 August 2026 — 36,594 subscribers8 August 2026 — 36,577 subscribers9 August 2026 — 36,569 subscribers10 August 2026 — 36,556 subscribers11 August 2026 — 36,538 subscribers12 August 2026 — 36,534 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net -61. 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 36,525–36,604 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 11:5436,534-4
11 Aug 2026, 13:1836,538-18
10 Aug 2026, 12:0136,556-13
9 Aug 2026, 10:0136,569-8
8 Aug 2026, 13:3136,577-17
7 Aug 2026, 11:5336,594-1
7 Aug 2026, 11:0236,595first reading

Engagement

8 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.08%
avg views ÷ 36,534 subscribers
Avg views / post
2,590
8 posts measured
Reaction rate
4.00%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 12 August 2026
Posts held8 (30 July 202612 August 2026)
Views total20,680
Reactions total827
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:52 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
1,980
Videos
858
Links
695

Lifetime counters from Telegram’s own channel header, read 12 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
45s
Average length
23s

Measured directly from 2 videos 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

827 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 52.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
43352.4%
🔥14517.5%
👍11714.1%
🎉11113.4%
👏141.69%
😁70.846%

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 8 of the 8 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 827reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 30 July 2026 to 12 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

12 Aug 2026, 17:25 UTC640 views15 reactionsread 12 August 2026
Photo

Можно быть профессионалом с именем и репутацией и всё равно начать оправдываться под чужим напором. А кто оправдывается, тот в глазах зрителя почти всегда выглядит виноватым, даже когда виноват не он. В карусели разобрал, где стоматолог Алексей Фролов отдал инициативу Елене Летучей в «Новом Ревизорро» и что можно было сделать иначе. СМОТРЕТЬ В YOUTUBE СМОТРЕТЬ ВКОНТАКТЕ СМОТРЕТЬ В RUTUBE

11👍3🔥1

11 Aug 2026, 17:27 UTC≈1,950 views91 reactionsread 12 August 2026
Photo

В «Новом Ревизорро» Елена Летучая пришла с камерой к стоматологу Алексею Фролову. Речь шла о сложном и дорогом лечении, после которого пациентка заявила о тяжёлых последствиях, и Летучая пришла призвать врача к ответу, в своей привычной, очень жёсткой манере. Медицинский вердикт я не выношу: для этого есть документы, экспертиза и суд. После эфира за Алексея вступились коллеги-врачи, записывают ролики в его поддержк

49👍30🔥12

8 Aug 2026, 15:35 UTC≈2,880 views182 reactionsread 12 August 2026
Photo

5 августа 2026 года состоялась церемония бракосочетания певицы Клавы Коки и блогера Дмитрия Масленникова. Многие из вас давно меня просили разобрать их пару и дать оценку искренности чувств, поскольку союз довольно неожиданный. Я не могу знать всего, но для меня достаточно было двух микросигналов с самой церемонии, которые я вынес в начальное видео этого поста, замедлив их для вас до моих любимых х0,25. Эти кадры

116🔥39👍16👏9😁2

6 Aug 2026, 06:10 UTC≈2,900 views32 reactionsread 12 August 2026
Photo

На днях Росстандарт утвердил ГОСТ о том, каким должен быть хороший начальник. Пункты все верные, только есть загвоздка: ни одного из них подчинённый не услышит раньше, чем прочитает тело своего руководителя. Листайте карусель! Там про то, каких начальников сулит нам новый ГОСТ и почему мы верим телу начальника больше, чем его словам. Готовьтесь к изменениям и заранее смотрите мастер-класс «Что о вас говорит язык те

24👍5😁3

5 Aug 2026, 12:49 UTC≈2,960 views72 reactionsread 12 August 2026
Photo

На днях Росстандарт утвердил ГОСТ о том, каким должен быть хороший начальник. Звучит почти как анекдот, ведь по сути это стандарт на человеческое отношение к сотрудникам. Я хотел бы вернуться в свой 2003й и показать этот ГОСТ тогдашнему главе Российского представительства LG International господину Янгу, который любил швыряться хрустальными пепельницами, громогласно мотивируя нас работать еще лучше... Итак, новый

42👍24🔥6

3 Aug 2026, 09:00 UTC≈2,800 views328 reactionsread 12 August 2026
Photo

Врываюсь в свой новый год! С днем рождения у меня всегда сложности. Не в плане переживания очередной цифры - с этим вообще никаких проблем, ну прибавилось и прибавилось. А с организацией празднования и тем более подарками… это тема для глобальной проработки. Я не могу вспомнить, чтобы на свой ДР я собирал больше 10 человек из самого близкого круга. В 90% случаев их было вообще трое - мои институтские друзья. Мы про

156🎉111🔥48👍8👏5

30 Jul 2026, 12:48 UTC≈3,510 views79 reactionsread 12 August 2026
Photo

После моего разбора Любови Аксёновой вы завалили комментарии историями в духе «это прямо про меня». Собрал для вас галерею киноактёров, за спокойными лицами которых скрывалась целая буря, и показал маленький приём, чтобы вас наконец увидели. Всех узнали на слайдах? В ком из них неожиданно увидели себя?

🔥3928👍10😁2

Showing the 8 most recent of 8 posts we hold for @kintellect. 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 — 278,716 of 1,084,084entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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.

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.

Седа Каспарова
@Seda_Kasparova_news · 256,480
Telegram ranks this channel #27 of 93 here — alongside 92 others — read 10 August 2026
Revitonica
@revitonica_ru · 248,530
Telegram ranks this channel #69 of 83 here — alongside 82 others — read 10 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Михаил Дементьев. Кинетический интеллект” (@kintellect), 36,534 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kintellect.

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.