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Channel

Андрей Гострый

@andreygostryy

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Citations · Cite this entry

17,385subscribers

+184 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002833591596
TypeChannel
Username@andreygostryy
DescriptionКанал Андрея Гострого Всё, что не проходит цензуру и тайминг на моих выступлениях — здесь, в Telegram.
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/andreygostryy

Growth

17,20117,38517,2937 August 2026 — 17,201 subscribers7 August 2026 — 17,201 subscribers7 August 2026 — 17,210 subscribers9 August 2026 — 17,214 subscribers10 August 2026 — 17,220 subscribers11 August 2026 — 17,222 subscribers12 August 2026 — 17,272 subscribers14 August 2026 — 17,288 subscribers15 August 2026 — 17,306 subscribers16 August 2026 — 17,331 subscribers17 August 2026 — 17,385 subscribers7 August 202617 August 2026
11 measurements spanning 11 days, net +184. 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 17,173–17,413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 21:2217,385+54
16 Aug 2026, 19:4317,331+25
15 Aug 2026, 08:1417,306+18
14 Aug 2026, 00:2617,288+16
12 Aug 2026, 21:5817,272+50
11 Aug 2026, 18:3617,222+2
10 Aug 2026, 17:0817,220+6
9 Aug 2026, 20:1117,214+4
7 Aug 2026, 19:0217,210+9
7 Aug 2026, 05:4517,201no change
7 Aug 2026, 05:3317,201first reading

Engagement

14 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.0%
avg views ÷ 17,385 subscribers
Avg views / post
2,790
13 posts measured
Reaction rate
2.12%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 held14 (3 August 202617 August 2026)
Views total36,210
Reactions total769
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 05:23 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
570
Videos
53
Links
271

Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 15s
Average length
1m 08s

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

769 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 57.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
44457.7%
🔥17322.5%
👍9912.9%
👎131.69%
👏101.30%
💯101.30%
🤬91.17%
👀20.26%
💊20.26%
😐20.26%
🙏20.26%
🥰20.26%
😭10.13%

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 14 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 769reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 3 August 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.

Advertising

Ad load
7.14%
1 of 14 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,970
over 1 measured post
Median views · rest
2,820
over 12 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFFuqFeh116 August 202616 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 14 most recent posts we hold, published 3 August 2026 to 17 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

17 Aug 2026, 05:02 UTC≈1,760 views45 reactionsread 18 August 2026

Posted without readable text

29👍12👎2🤬1😐1

16 Aug 2026, 08:27 UTC≈1,970 views30 reactionsread 18 August 2026
Advertisementerid 2W5zFFuqFehForwarded from @preventEraVideo

«Забывают тщательно пережевывать пищу. В желудке зубов нет» Одна из причин вздутия, спазмов и метеоризма, о которой забывают, — автоматическое проглатывание пищи (пищевых комков) во время просмотра чего-либо либо за гаджетами. Какие процессы расщепления углеводов нарушаются, когда мы увлекаемся и перестаем осознанно принимать пищу? Объясняет Андрей Гострый. 🍑🍑 RealFlor MetaBio — метабиотики для улучшения пищеварен

19👍9👎2

15 Aug 2026, 05:03 UTC≈2,180 views98 reactionsread 18 August 2026
Photo

В прошлом посте я говорил о важной детали: барьерные клетки кожи переносят голодание спокойно, а волосяные гибнут. Разница между ними – в антиоксидантной защите. У волосяных стволовых клеток она слабее, и во время голодания, когда в них поступают свободные жирные кислоты, они не справляются с окислительным стрессом. Значит, уязвимое место – именно недостаток антиоксидантной защиты. И если его компенсировать, негативн

52🔥24👍12💯8👎1🤬1

14 Aug 2026, 05:03 UTC≈2,550 views130 reactionsread 18 August 2026
Photo

Друзья, попалась мне работа в Cell – а это один из трёх самых авторитетных научных журналов мира, – и она заставила крепко призадуматься. Тема касается очень многих из нас: интервальное голодание сейчас практикует чуть ли не каждый второй в теме. 🍏 Уже известно, что голодание закаляет стволовые клетки – в кишечнике, мышцах, крови они на фоне голода становятся крепче и устойчивее к стрессу. Логично было ждать того же

72🔥37👍16👀2👎1💯1🤬1

12 Aug 2026, 05:03 UTC≈2,790 views34 reactionsread 18 August 2026
Photo

🧫 Детские болезни особенно те, которые обсуждали в прошлом посте, частенько вызывают панику у родителей и мгновенное желание дать антибиотик, иногда даже без прямого назначения врача. В некоторых случаях это действительно оправдано, но что если ребенок часто болеет и таких курсов в год получается не один или болезнь затягивается? Как такое грубое вмешательство может аукнуться им во взрослом возрасте? 📎📎📎📎📎📎📎 Этот в

28🔥3👎1💯1🤬1

11 Aug 2026, 15:32 UTC≈2,760 views75 reactionsread 18 August 2026
Photo

🎦 Прокрастинация, расфокус, вечное откладывание на потом — мы привыкли считать это ленью или слабой волей. Но чаще всего за этим стоит не характер, а то, как работает дофаминовая система. И давить на неё силой воли — бесполезно. В новом видео разбираем, как на самом деле устроена система мотивации, почему быстрые стимулы её сажают и какие инструменты реально восстанавливают тонический уровень дофамина. В этом выпус

41🔥23👍9👎1💊1

10 Aug 2026, 05:01 UTC≈3,250 views42 reactionsread 18 August 2026
Photo

Мы привыкли, что детский иммунитет во многом сильнее взрослого и может перебороть любую хтонь, главное ему не мешать. И отчасти так и есть, но не всегда. Задумывались ли вы, какой отпечаток на здоровье ребенка могут оставлять детские болезни в раннем возрасте? Наши любимые британские ученые решили выяснить этот момент, проведя одно из самых длительных наблюдательных когортных исследований в мире. 📎📎📎📎📎📎📎 У более ч

28👍8🔥4👎1🤬1

8 Aug 2026, 05:00 UTC≈3,120 views37 reactionsread 18 August 2026
Video

Что, если за паническими атаками, снюсом и срывом учёбы у подростка стоит не «кризис возраста», а системный сбой: СДВГ, метаболический синдром и дефициты, которые никто не проверял? В августе в закрытом клубе выйдет клинический кейс "СДВГ у подростка с тревожно-паническими и аддиктивными расстройствами, метаболическим синдромом" с приглашенным экспертом Максимовой Марией Юрьевной. 🧫 Пациент 17 лет: панические атаки

🔥1310👍10👎1💊1🤬1🙏1

7 Aug 2026, 05:03 UTC≈3,320 views43 reactionsread 18 August 2026
Photo

В первой части этой темы я показал конкретные цифры распространенности. Но это официальная статистика – верхушка айсберга. Она считает только тех, кому диагноз уже поставлен. А большинство взрослых с СДВГ живут без него: по разным оценкам, около двух третей так и остаются нераспознанными. Кого-то не диагностировали в детстве, у кого-то форма стёртая, кто-то всю жизнь считает себя просто несобранным. 📎📎📎📎📎📎📎 В январ

27🔥9🤬2👍1👎1🥰1😐1🙏1

6 Aug 2026, 05:05 UTC≈3,190 views46 reactionsread 18 August 2026
Photo

СДВГ — не диагноз из ленты соцсетей и не оправдание лени, как многие думают. За цифрами в карточках выше — миллионы людей, которые годами путают это состояние с выгоранием или тревогой и не понимают, почему с возрастом легче не становится. В этом месяце в клубе разбираемся с этой темой очень подробно — сразу в двух материалах. 🧫 Лекция приглашённого эксперта «СДВГ: от «детского диагноза» к проблемам длиною в жизнь»

35🔥7👍2👎1🤬1

5 Aug 2026, 05:04 UTC≈3,240 views45 reactionsread 18 August 2026
Photo

Пептидная терапия не нова по своей сути, но в последнее время всё больше набирает обороты. И в современном ритме жизни отдельного внимания заслуживают пептиды, направленные на работу мозга. Но прежде чем говорить об их эффектах, важно понять, как они вообще работают. А действуют они не через один канал, а сразу через несколько параллельных механизмов, влияющих на мозговые функции. 1⃣ Нейротрофическая перестройка Пе

25👍11🔥6👏1🥰1😭1

Showing the 12 most recent of 14 posts we hold for @andreygostryy. 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.

Posts edited after publishing

@andreygostryy edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 103,482 of 1,548,671entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 10 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.

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.

“Андрей Гострый” (@andreygostryy), 17,385 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/andreygostryy.

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.