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Channel

Учёные доказали

@onidokazali

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

701subscribers

+18 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1003677802835
TypeChannel
Username@onidokazali
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/onidokazali

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

6837016925 August 2026 — 683 subscribers6 August 2026 — 684 subscribers6 August 2026 — 684 subscribers12 August 2026 — 696 subscribers18 August 2026 — 693 subscribers25 August 2026 — 695 subscribers1 September 2026 — 697 subscribers10 September 2026 — 695 subscribers19 September 2026 — 701 subscribers5 August 202619 September 2026
9 measurements spanning 45 days, net +18. 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 680–704 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 13:18701+6
10 Sept 2026, 11:15695-2
1 Sept 2026, 23:55697+2
25 Aug 2026, 05:04695+2
18 Aug 2026, 22:57693-3
12 Aug 2026, 16:47696+12
6 Aug 2026, 16:38684no change
6 Aug 2026, 02:40684+1
5 Aug 2026, 22:01683first reading

Engagement

9 posts held, back to 26 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

147 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 45.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6745.6%
🔥4027.2%
149.52%
💯85.44%
🌚64.08%
🤓42.72%
👀32.04%
💊32.04%
👌10.68%
🤯10.68%

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 9 of the 9 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 147 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 26 July 2026 to 3 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
1
across the posts below
Posts paid on
1
of 9 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @onidokazali. 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 9 most recent posts we hold for this entry, published 26 July 2026 to 3 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

3 Aug 2026, 16:02 UTC253 views20 reactionsread 6 August 2026
Photo

Да, это ПРОТЕИНОВОЕ заливное. Читайте пока пост про белок, а я пойду опрокину почки.

8🌚5👀3🔥3🤯1

3 Aug 2026, 15:57 UTC257 views22 reactionsread 6 August 2026
Photo

Протеиновые вкусняшки вызывают рак и бьют по почкам — это правда? Читатель прислал новость: вся протеиновая еда вызывает рак, бьёт по почкам, перегружает печень и ЖКТ, а хайп вокруг белка ведёт человечество к вымиранию. Такой вопиющей херни я давно не читала. Новостники смешали в одном шейкере множество сущностей: — белок как нутриент; — диету с большим содержанием белка; — ультрапереработанные продукты с надписью

10🔥7💯4👌1

2 Aug 2026, 06:04 UTC275 views19 reactions1 Starread 6 August 2026
Photo

☕️ Вышел новый дайджест — про толстых сов, худых жаворонков, кофе, сердце и сосуды в костях Дайджест получился настолько королевски подробным, что тянет на задание по литературе на каникулы. В этот раз разобрала три темы, где очень хочется простых ответов, но наука говорит: «а когда вообще бывает легко?». — Совы правда легче толстеют, чем жаворонки? — Здоровые кости — это кальций и ЗОЖ или что-то ещё? — Можно ли

86🔥5

1 Aug 2026, 17:00 UTC288 views18 reactionsread 6 August 2026

Posted without readable text

95🔥3💯1

31 Jul 2026, 16:32 UTC334 views11 reactionsread 6 August 2026

Медицинский журналист Оля Кашубина советует 10 каналов о медицине, и я под этой рекомендацией подписываюсь. Тут прямо замечательно: от маститых коллег, которых я читала и на которых равнялась годами, до новых для меня каналов, на которые сразу же подписалась. Всем доказательно-медицинского чтива — хорошего и разного 🖤

53🔥3

31 Jul 2026, 16:32 UTC200 views17 reactionsread 6 August 2026
Forwarded from @t_priem

10 каналов о медицине: рекомендации Оли Кашубиной Возвращаясь к разговору, который мы подняли в премьерном выпуске сезона, расскажу про телеграм-каналы о медицине, на которые подписана я. Оговорюсь: это не все, на что я подписана, но полный список получится уж слишком длинным и, возможно, чересчур специфичным. Так что дорогие друзья-блогеры, кого не упомянула, не обессудьте 🙂 💊 GastroPub. Любимый гастроэнтеролог Ал

🔥86💯3

26 Jul 2026, 16:34 UTC473 views15 reactionsread 6 August 2026

Пояснительная бригада: как читать пост про рилзы и снижение когнитивных функций Это к посту про хайповую новость, где короткие видео высушивают мозги, а дофаминовые всплески им подыгрывают. В новостях всё снова наврали. В исследованиях нашли связь между частым просмотром коротких видео, худшим вниманием, тормозным контролем, тревогой и стрессом. Но вот что рилзы вызывают весь этот страх, пока никто не доказали. Bra

8🤓4🔥3

26 Jul 2026, 16:31 UTC407 views17 reactionsread 6 August 2026
Photo

Короткие видео высушивают мозги — это правда? Читатель прислал новость: короткие видео вызывают «гниение мозга», перегружают его дофаминовыми всплесками, убивают внимание, концентрацию и самоконтроль. Особенно у подростков. Страшно, очень страшно. Если бы мы знали, что такое дофаминовые всплески.. а мы пойдём и узнаем. На самом деле короткие видео не высушивают мозг. Сначала — позиция науки, потом — пара жирненьких

9🔥5💊3

26 Jul 2026, 05:12 UTC318 views8 reactionsread 6 August 2026
Photo

Вышел новый дайджест спокойных медицинских новостей: про мелатонин, креатин и запивание еды В этом выпуске разбираем три идеи из серии «было бы здорово, но давайте всё-таки откроем исследование». Что внутри: — мелатонин попробовали записать в обезболивающие; — креатином попытались лечить депрессию; — пили воду, чтобы заглушить аппетит и снизить потребление калорий. Читайте выпуск, чтобы узнать, пора ли принимат

4🔥3🌚1

Showing the 9 most recent of 9 posts we hold for @onidokazali. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republished by

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

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 8 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Учёные доказали” (@onidokazali), 701 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/onidokazali.

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.