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Channel

Фридайвинг головного мозга | Ольга Маркина

@freedivingorca

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

824subscribers

+7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001682489830
TypeChannel
Username@freedivingorca
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/freedivingorca

Growth

817824820.56 August 2026 — 817 subscribers6 August 2026 — 817 subscribers7 August 2026 — 818 subscribers15 August 2026 — 824 subscribers6 August 202615 August 2026
4 measurements spanning 8 days, net +7. 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 816–825 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 10:45824+6
7 Aug 2026, 04:12818+1
6 Aug 2026, 23:46817no change
6 Aug 2026, 23:33817first reading

Engagement

4 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
52.4%
avg views ÷ 824 subscribers
Avg views / post
432
4 posts measured
Reaction rate
5.67%
reactions ÷ views · ER floor
Posts in window
4
of 4 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 6 August 2026
Posts held4 (30 July 20266 August 2026)
Views total1,727
Reactions total98
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 23:46 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.

Reaction mix

98 reactions across 4 posts, in 6 distinct kinds. The most used accounts for 59.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5859.2%
🔥2424.5%
❤‍🔥1010.2%
👍44.08%
💯11.02%
🤔11.02%

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 4 of the 4 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 98reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 30 July 2026 to 6 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

6 Aug 2026, 15:37 UTC154 views6 reactionsread 6 August 2026
Photo

Знаете самое частое заблуждение про продувку? «Я продуваюсь Вальсальвой». А на деле у большинства это скрытый Френзель - тот самый метод из прошлого выпуска, которым люди пользуются неосознанно, сами того не зная. Проверить, кто вы, можно прямо сейчас, не вставая с дивана: положить руку на живот и продуться как обычно. В карточках - что означает движение живота и его отсутствие, и почему «скрытый френзельщик» - это

6

4 Aug 2026, 13:54 UTC772 views18 reactionsread 6 August 2026
Photo

Продолжаю серию со статистикой российского фридайвинга 📊 Сегодня — про восьмиборцев. В спортивном фридайвинге восемь основных дисциплин (с постоянным весом), и освоить их все — большая редкость. У них разная техника, физиология, снаряжение, а половину ещё и не понырять без выезда к открытой воде. Листайте 👉 сколько человек закрыли все восемь, кто эти люди и какая дисциплина чаще всего остаётся «непокорённой». А вы

🔥95👍4

31 Jul 2026, 09:40 UTC404 views47 reactionsread 6 August 2026
Photo

Как я шла от 80 к 100 метрам. Часть 2 Фактор номер один был про любовь к делу, ту, что не даёт бросить. Сегодня фактор номер два, куда более приземлённый: про тело. Методичность. Многие из вас знают, что я не пришла из какого-то спорта. На первых порах в таком случае можно двигаться на ресурсах «неспортивного» тела. Но потом, кажется, нужно перестраиваться на каком-то околоклеточном уровне. Всё это время я тупо, м

32❤‍🔥10🔥3💯1🤔1

30 Jul 2026, 09:29 UTC397 views27 reactionsread 6 August 2026
Photo

В прошлом выпуске разобрали Вальсальву. Сегодня - почему её всё чаще вообще убирают из обучения и сразу учат Френзелю. Спойлер: дело в диафрагме. Слишком большая мышца - вместе с ней напрягаются грудная клетка и пресс, а на глубине это как минимум некомфортно, как максимум - риск травмы. И главное, что нужно унести из этого выпуска: Френзель - не «ещё один способ», а фундамент, на котором стоят все остальные методы

15🔥12

Showing the 4 most recent of 4 posts we hold for @freedivingorca. 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 — 70,458 of 1,480,975entries 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 1 registered channel — 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Фридайвинг головного мозга | Ольга Маркина” (@freedivingorca), 824 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/freedivingorca.

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.