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МОССУДМЕД 🇷🇺

@reshetunalexey

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

39,825subscribers

-160 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001661072596
TypeChannel
Username@reshetunalexey
Description🔞Единственный официальный канал Алексея Решетуна, Русского, врача судебно-медицинского эксперта, писателя, интроверта и просто хорошего человека. «Пусть сегодня никто не умрёт!» #5TDZB РКН.N: 4776861172 ——— 🤝Связь: @alexmgm ✅Реклама: https://telega.in/c
Created25 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/reshetunalexey

Growth

39,82539,98539,9056 August 2026 — 39,985 subscribers6 August 2026 — 39,985 subscribers6 August 2026 — 39,966 subscribers7 August 2026 — 39,940 subscribers8 August 2026 — 39,921 subscribers9 August 2026 — 39,894 subscribers10 August 2026 — 39,876 subscribers11 August 2026 — 39,873 subscribers12 August 2026 — 39,870 subscribers13 August 2026 — 39,865 subscribers14 August 2026 — 39,842 subscribers16 August 2026 — 39,825 subscribers6 August 202616 August 2026
12 measurements spanning 11 days, net -160. 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 39,801–40,009 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 14:5439,825-17
14 Aug 2026, 20:3639,842-23
13 Aug 2026, 14:0939,865-5
12 Aug 2026, 17:1339,870-3
11 Aug 2026, 17:2639,873-3
10 Aug 2026, 20:0139,876-18
9 Aug 2026, 21:5039,894-27
8 Aug 2026, 19:2739,921-19
7 Aug 2026, 20:5439,940-26
6 Aug 2026, 20:4539,966-19
6 Aug 2026, 02:0039,985no change
6 Aug 2026, 01:5239,985first reading

Engagement

42 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 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.1%
avg views ÷ 39,825 subscribers
Avg views / post
4,430
40 posts measured
Reaction rate
3.44%
reactions ÷ views · ER floor
Posts in window
42
of 42 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 16 August 2026
Posts held42 (26 July 202616 August 2026)
Views total177,068
Reactions total6,098
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 15:32 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
4,550
Videos
346
Links
1,150

Lifetime counters from Telegram’s own channel header, read 16 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
57s
Average length
57s

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

4,181 reactions across 26 posts, in 19 distinct kinds. The most used accounts for 43.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,83443.9%
👍94022.5%
❤‍🔥48911.7%
🔥43710.5%
😁2175.19%
💯701.67%
🥰621.48%
😍390.933%
🆒280.67%
🕊160.383%
120.287%
👏90.215%
👻90.215%
🙏70.167%
🤔50.12%
🤝20.048%
🤩20.048%
🤬20.048%
👎10.024%

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 40 of the 42 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 6,098reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 26 July 2026 to 16 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
7
across the posts below
Posts paid on
2
of 40 we hold a reading for · 5%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @reshetunalexey. 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 42 most recent posts we hold for this entry, published 26 July 2026 to 16 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

16 Aug 2026, 12:34 UTC948 views42 reactionsread 16 August 2026
Video message

Video message, posted without a caption

👍26🔥103🥰3

15 Aug 2026, 12:19 UTC≈2,160 views84 reactionsread 16 August 2026
Video message

Video message, posted without a caption

53👍25🆒4❤‍🔥2

14 Aug 2026, 15:45 UTC≈2,940 views59 reactions1 Starread 16 August 2026
Forwarded from @mediomodoPhoto

Вскрытие. Публика. Билеты на вход. Звучит как очень странный театр. Но в Европе действительно существовали анатомические театры — специальные помещения, где проводили публичные анатомические демонстрации. Один из самых известных находится в Падуе. Его построили в 1594 году, и он стал первым постоянным анатомическим театром в мире. В центре находился стол для вскрытия, а вокруг него — несколько ярусов, чтобы зрители

31🔥16👏9🆒3

14 Aug 2026, 11:47 UTC≈2,790 views68 reactionsread 16 August 2026
Forwarded from @vsmysle_spbVideo

Можно ли снизить риск преждевременной смерти, если знать, откуда приходит настоящая опасность? 22 августа на этот вопрос ответит врач и судебно-медицинский эксперт Алексей Решетун. Вас ждет честный разговор о том, почему люди умирают в молодом возрасте и какие ошибки чаще всего оказываются роковыми. Вы узнаете: ⚫️Чем опасны руфинг и зацепинг ⚫️К чему могут привести анорексия и ожирение ⚫️Почему утопление происх

👍3412🔥109🆒2🙏1

14 Aug 2026, 08:09 UTC≈3,080 views146 reactionsread 16 August 2026

Как-то после одной из лекций мне задавали вопросы, и среди прочих задали вопрос о книгах, которые я постоянно перечитываю. Среди моих любимых книг Достоевского, Ильфа и Петрова, Булгакова, Томаса Карлейля, Данте и многих других, я назвал и Евангелие. В самом конце, уже когда была автограф-сессия, ко мне подошли две девушки и спросили - а чего вы постоянно перечитываете Евангелие, для чего? Вопрос, как показалось мне

80🔥40💯13👍6🕊4❤‍🔥2👻1

12 Aug 2026, 18:44 UTC≈3,780 views240 reactionsread 16 August 2026
Photo

Вечерний Лефортово)

👍11476🔥41🆒8🤝1

11 Aug 2026, 18:00 UTC≈4,930 views186 reactionsread 16 August 2026
Photo

Прокатился утречком по Москве) Какая же она красивая!) Жалко, что местами набережная закрыта на ремонт, но, в целом, покататься есть где. Надеюсь, что сезон продлится долго)

108👍51❤‍🔥15🔥11🥰1

10 Aug 2026, 08:05 UTC≈5,000 views197 reactionsread 16 August 2026

Вот его характеристики: обычно ему около пятидесяти, он небрит или, если это женщина, наоборот, модельной внешности; циничен до пошлости, но где-то в глубине души добрый. Начальство егоне любит. Следователи его обожают. Трупы его совершенно не волнуют, при этом он обязательно что-нибудь ест или пьёт рядом с секционной или прямо в ней. С одного взгляда определяет причину смерти, по кровоподтеку - его давность, по ране

❤‍🔥89👍6327🔥11😁4🥰3

10 Aug 2026, 08:05 UTC≈3,970 views112 reactionsread 16 August 2026

Миф №10. Образ судебно-медицинского эксперта в кино Тут я пожертвовал своим временем и здоровьем и посмотрел некоторые серии некоторых фильмов. Это было сложно… Есть ощущение, что сценаристы точно знают, каким должен быть судебно-медицинский эксперт. Во-первых, он должен быть странным. Во-вторых, циничным до пошлости. В-третьих, желательно разговаривать с трупами иди совершать другие максимально нелепые и ненормальн

❤‍🔥51👍3119💯5😁4🔥2

9 Aug 2026, 16:32 UTC≈4,670 views134 reactionsread 16 August 2026

Миф №9. «Судебно-медицинский эксперт определяет: убийство это, самоубийство или несчастный случай» «Ну что, доктор, убийство?» В кино эксперт обычно немного думает, смотрит на тело и отвечает: «Однозначно!». В реальной судебной медицине такой вопрос поставлен некорректно. Судебно-медицинский эксперт не устанавливает, было ли совершено убийство. И не решает, виновен ли конкретный человек. Это вообще не медицинские

👍8222💯15❤‍🔥7🔥6🆒2

Showing the 12 most recent of 42 posts we hold for @reshetunalexey. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

2 Aug 2026, 16:40 UTCAnonymous Poll1,310 voters approx.

Продолжать серию постов про мифы о судебной медицине?

  1. Да97%
  2. Нет3%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 42 most recent posts we hold, published 26 July 2026 to 16 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 13,578 of 1,481,243entries 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

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 13 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Записки судмедэксперта
@sudmednotes · 169,992
Telegram ranks this channel #4 of 80 here — alongside 79 others — read 12 August 2026
Истории со скорой
@komarova_88 · 115,961
Telegram ranks this channel #13 of 72 here — alongside 71 others — read 14 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“МОССУДМЕД 🇷🇺” (@reshetunalexey), 39,825 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/reshetunalexey.

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.