Telegram RegisterThe public register of Telegram

Channel

ПостНаука

@postnauka

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cross-platform identity · Cite this entry

21,280subscribers

+64 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001022687893
TypeChannel
Username@postnauka
Descriptionhttps://postnauka.org По вопросам сотрудничества: https://postnauka.org/link/letsdance_tg ПостНаука на других площадках: https://postnauka.org/link/linktr_sm
Created15 January 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/postnauka

Growth

21,21621,28021,2485 August 2026 — 21,216 subscribers6 August 2026 — 21,216 subscribers6 August 2026 — 21,255 subscribers7 August 2026 — 21,260 subscribers8 August 2026 — 21,266 subscribers9 August 2026 — 21,276 subscribers11 August 2026 — 21,273 subscribers12 August 2026 — 21,280 subscribers5 August 202612 August 2026
8 measurements spanning 7 days, net +64. 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 21,206–21,290 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:3321,280+7
11 Aug 2026, 18:1321,273-3
9 Aug 2026, 17:0121,276+10
8 Aug 2026, 19:4421,266+6
7 Aug 2026, 18:2621,260+5
6 Aug 2026, 21:2121,255+39
6 Aug 2026, 02:0521,216no change
5 Aug 2026, 21:2021,216first reading

Engagement

32 posts held, back to 29 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.97%
avg views ÷ 21,280 subscribers
Avg views / post
1,700
32 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 held32 (29 July 202612 August 2026)
Views total54,289
Reactions total632
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:13 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
3,910
Videos
20
Links
3,670

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
4m 23s
Average length
4m 23s

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

454 reactions across 23 posts, in 11 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16736.8%
🔥14030.8%
👍9621.1%
😱153.30%
😁132.86%
😢81.76%
🐳61.32%
💯40.881%
👎30.661%
10.22%
🙏10.22%

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 32 of the 32 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 632reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 29 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 32 we hold a reading for · 3%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @postnauka. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 32 most recent posts we hold for this entry, published 29 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

12 Aug 2026, 14:49 UTC719 views10 reactionsread 12 August 2026
Photo

Когда вы смотрите спортивные соревнования, то видите имя атлета, его возраст и страну, которую он представляет. Но представьте, что в будущем в этой таблице на экране появятся еще и ключевые гены, которые влияют на успехи спортсмена. К примеру, у Усэйна Болта или другого выдающегося спринтера может оказаться активный ген ACTN3, известный как «ген скорости». ACTN3 — далеко не единственный «спортивный» ген. Разбираем,

👍63🔥1

12 Aug 2026, 05:13 UTC≈1,070 views24 reactionsread 12 August 2026
Photo

«Падающая звезда» — это красивое выражение, связанное с оптическими явлениями, возникающими при вхождении метеорных тел в атмосферу. «Звездный дождь» наиболее ярко проявляется в северных широтах в августе. Примерно с 12 по 14 августа каждого года можно наблюдать Персеиды. Падающими звездами называют метеоры — светящиеся следы, возникающие при сгорании в атмосфере Земли вещества, оставленного кометами. Августовские П

17🔥7

11 Aug 2026, 15:31 UTC≈1,220 views17 reactionsread 12 August 2026
Photo

Любой сильный стимул — от света и звука до мысли — может запустить в нейроне потенциал действия: короткий электрический импульс, который бежит по мембране клетки. Но между нейронами есть микроскопический зазор — синаптическая щель, и напрямую электрический импульс её не перепрыгивает. Поэтому мозг использует химию: в пресинаптическом окончании заранее запасены нейромедиаторы — молекулы-передатчики, упакованные в сина

10👍7

11 Aug 2026, 06:30 UTC≈1,390 views26 reactionsread 12 August 2026
Photo

В 1924 году Наталья Шенгер-Крестовникова опубликовала работу, в которой показала, как неконтролируемость и непредсказуемость ситуации могут приводить к разрушению поведения. В рамках эксперимента собаке предлагали различать два сигнала: круг — ничего не делать, овал — нажать лапой на педаль и получить кусочек мяса. Пока овал был достаточно вытянутым, собака легко справлялась. Затем овал стали приближать по форме к к

😱13😢8👍32

10 Aug 2026, 16:22 UTC≈1,370 views15 reactionsread 12 August 2026
Photo

Задача показывает, как получить достоверный вывод даже в ситуации, когда неизвестно, кому можно доверять. Для решения нужно учесть две возможные версии, проследить логику каждого ответа и найти вопрос, который в обоих случаях приведет к одному результату. Тот же принцип работает и за пределами головоломок: критическое мышление начинается с умения замечать условия рассуждения, проверять возможные версии и задавать во

🔥15

10 Aug 2026, 07:45 UTC≈1,430 views12 reactionsread 12 August 2026
Photo

Исследователь AI Михаил Бурцев проводит разграничение, которое важно для понимания того, где именно заканчивается реальная польза ИИ как инструмента. Языковые модели хорошо делают одно: комбинируют то, что им уже известно. Почему страх замены людей искусственным интеллектом перегрет — читайте в материале.

🔥10👍2

9 Aug 2026, 16:31 UTC≈1,540 views13 reactionsread 12 August 2026
Photo

ПЭТ (позитронно-эмиссионная томография) — один из методов визуализации процессов в организме. Одно из его применений — диагностика онкозаболеваний. В тело пациента вводят радиоактивный препарат, обычно ¹⁸F-фтордезоксиглюкозу. С помощью сканера можно увидеть участки его повышенного накопления и оценить обменные процессы в тканях. При радиоактивном распаде радионуклид испускает позитрон. Он взаимодействует с электрон

👍13

9 Aug 2026, 06:21 UTC≈1,510 views12 reactionsread 12 August 2026
Photo

Человек — венец творения природы? Мы склонны так считать. А как эволюция превратила группу приматов в Homo sapiens? Какие ступени были пройдены? Где происходили изменения и какие факторы им способствовали? Что такое параллельное человечество? Проследите историю становления человека на курсе «Антропогенез: что сделало человека человеком» от Академии ПостНауки. Десять уроков — и вы сможете отличить обезьяну от полуоб

8👍3👎1

8 Aug 2026, 14:29 UTC≈1,540 views24 reactionsread 12 August 2026
Photo

Зачем нашему организму железо? Гид «Наука питания» о том, почему здоровье начинается в нашей тарелке: https://postnauka.org/guides/156241

21👍3

8 Aug 2026, 06:53 UTC≈1,680 views12 reactionsread 12 August 2026
Photo

Проведите выходные с квантовой теорией! Внутри — частицы и волны, чёрные дыры, парадокс Хокинга, суперсимметрия и загадки современной физики: https://postnauka.org/courses/81089 Курсы «ПостНаука Academy» — для тех, кто хочет принимать решения, опираясь на научные знания. Выбрать и приобрести курс: https://postnauka.org/link/academy_sm

🔥9👍3

7 Aug 2026, 16:26 UTC≈1,790 views11 reactionsread 12 August 2026
Photo

Одна из самых контринтуитивных линий продовольственной политики связана со статистикой ФАО — международной организации, отвечающей за продовольствие и сельское хозяйство. По её данным, среднее потребление калорий в мире превышает 2,5 тысячи в сутки, и часть комментаторов делает из этого вывод, что проблема голода в целом решена, а значит, усилия стоит направить не на продовольствие, а на борьбу с ожирением и смежные

9😁2

7 Aug 2026, 10:19 UTC≈1,730 views7 reactionsread 12 August 2026
Forwarded from @naukkatalents

Founding Product Marketing Manager San Francisco, USA Job Description — Build product marketing from scratch for a restaurant intelligence platform — Define positioning, messaging, and launch plans for frequent product releases — Create sales materials: pitch decks, battlecards, and playbooks — Develop webinars, guides, and education programs that drive adoption — Generate qualified leads through content, events, a

6👍1

Showing the 12 most recent of 32 posts we hold for @postnauka. 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 — 331,970 of 1,169,250entries 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 4 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.

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.

Q16687428 on Wikidata, read 9 August 2026
LabelPostnauka
X / Twitter@postnauka_ru
YouTubeUCSPd93is2UQsd_jZ6yHBfqQ
Official sitehttps://www.postnauka.ru

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.

“ПостНаука” (@postnauka), 21,280 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/postnauka.

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.