Мы проверяем факты, ржём над мифами и просвещаем о теле, сексе и движении. 18+
Рекламы нет. Обсудить сотрудничество: @deintramm
Регистрация в перечне РКН: https://clck.ru/3FCCdt
Created
23 May 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
8 measurements spanning 7 days, net -6. 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 19,354–19,382 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:56
19,362
-4
11 Aug 2026, 18:53
19,366
-13
10 Aug 2026, 21:17
19,379
+18
10 Aug 2026, 00:01
19,361
+4
8 Aug 2026, 23:03
19,357
-15
7 Aug 2026, 19:28
19,372
+4
6 Aug 2026, 02:07
19,368
no change
6 Aug 2026, 01:37
19,368
first reading
Engagement
8 posts held, back to 25 July 2026 — the 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
25.4%
avg views ÷ 19,362 subscribers
Avg views / post
4,930
8 posts measured
Reaction rate
1.60%
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
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
8 (25 July 2026 – 11 August 2026)
Views total
39,400
Reactions total
629
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 23:48 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
834
Videos
29
Links
462
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 01s
Average length
1m 01s
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
585 reactions across 7 posts, in 9 distinct kinds. The most used accounts for 65.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
380
65.0%
🔥
102
17.4%
👍
60
10.3%
🥰
18
3.08%
😱
8
1.37%
👏
7
1.20%
🤯
4
0.684%
🎉
3
0.513%
👎
3
0.513%
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 629reactions 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 25 July 2026 to 11 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.
Что не так с «кортизоловым животом»?
В соцсетях по форме живота предлагают распознать повышенный кортизол, а отёки, набор веса и усталость объясняют его избытком.
Разбираемся, что здесь правда, а что — слишком большое упрощение.
1⃣ «Кортизоловый живот» — не медицинский термин
Не существует формы живота, по которой можно определить уровень кортизола. Живот может выглядеть по-разному из-за распределения жировой тка…
Wellness-свидания: вместо бара — на пробежку ❤️
Мы заметили, что у классического сценария «поужинать и выпить» появился конкурент. В соцсетях всё чаще мелькают wellness-свидания: совместные тренировки, кофе-раны, падел, йога, походы в горы и велопрогулки.
Причём такое свидание необязательно должно быть романтическим: позвать можно кого угодно — друга, сестру или знакомого, с которым давно хотелось пересечься.
Поче…
Самые эффективные способы справиться с болью в родах: от массажа до эпидуралки
Мы уже разобрались, почему возникает боль во время родов и что происходит с телом с точки зрения физиологии. Прочитайте: чем меньше неизвестности, тем меньше пространства для страха.
Переходим к главному вопросу: что помогает уменьшить ощущения?
Вокруг обезболивания тоже хватает мифов. «Эпидуралка вредит ребенку», «если согласилась на о…
«Оземпиковые беременности»: можно ли случайно забеременеть на препаратах для лечения ожирения и опасно ли это?
Препараты на основе агонистов рецепторов GLP-1 — семаглутид, лираглутид и другие — всё шире применяют для лечения сахарного диабета и ожирения. Одновременно становится больше случаев, когда на фоне лечения неожиданно наступает беременность. В сети для этого феномена даже придумали название — «Оземпиковые де…
Давайте поговорим о боли в родах честно и по-научному
Про боль в родах обычно говорят в двух направлениях.
🙁Страшилки из интернета в духе «это была худшая боль в моей жизни».
🙁«Лучше не думай», «всё забудется», «природа всё предусмотрела».
Между этими крайностями редко встретишь адекватный разговор о том, что именно происходит с телом во время родов.
А ведь знание физиологии не усиливает страх, а убирает неизвес…
Хотите научиться подтягиваться? Показываем, как это сделать
В прошлом посте мы рассказывали, почему это упражнение может тяжело даваться даже физически активным женщинам.
Теперь — практика.
Подтягивание — сложное упражнение, которое складывается из нескольких навыков: крепкого виса, движения лопаток, удержания корпуса и контролируемого движения вверх и вниз.
Силу мышц спины и корпуса можно развивать и без турника…
Неочевидные способы готовить привычные продукты
Вкус, текстура и даже время приготовления зависят не только от рецепта, но и от того, как именно тепло попадает внутрь продукта. Вода, пар, горячий воздух, сковорода, давление и микроволны делают это по-разному.
Одни способы помогают получить румяную корочку, другие — сохранить сочность, ускорить приготовление или обойтись меньшим количеством масла. При этом универсал…
ЗОЖ до, во время и после ЭКО: что можно и нельзя?
Сегодня, во Всемирный день вспомогательных репродуктивных технологий, хотим напомнить, что ЭКО — это не только медицинские процедуры. На этом пути возникает много «бытовых» вопросов.
Попросили коллег из научпоп канала Sex Sport Science и врача-репродуктолога Клиники Фомина Алину Шукшину рассказать, какие принципы здорового образа жизни действительно имеют значение …
Showing the 8 most recent of 8 posts we hold for @sektascience. 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 — 14,219 of 1,160,990entries 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 9 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.
Named by
Channels on the register whose posts name this channel's handle.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Sex Sport Science” (@sektascience), 19,362 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sektascience.
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.