29 measurements spanning 33 days, net -92. 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 11,191–11,312 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
8 Sept 2026, 07:59
11,206
-8
5 Sept 2026, 03:17
11,214
-7
3 Sept 2026, 08:18
11,221
-3
2 Sept 2026, 02:28
11,224
-7
1 Sept 2026, 03:48
11,231
-1
31 Aug 2026, 04:54
11,232
-8
30 Aug 2026, 06:46
11,240
-4
29 Aug 2026, 04:34
11,244
+3
28 Aug 2026, 04:55
11,241
+36
27 Aug 2026, 06:19
11,205
-4
26 Aug 2026, 06:05
11,209
-5
25 Aug 2026, 04:57
11,214
-7
24 Aug 2026, 04:53
11,221
-2
22 Aug 2026, 13:23
11,223
-7
21 Aug 2026, 01:03
11,230
-1
19 Aug 2026, 23:57
11,231
-2
19 Aug 2026, 02:04
11,233
-8
18 Aug 2026, 01:12
11,241
-7
16 Aug 2026, 21:46
11,248
-5
15 Aug 2026, 15:17
11,253
first reading
Engagement
32 posts held, back to 17 April 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 42 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
60.3%
avg views ÷ 11,206 subscribers
Avg views / post
6,750
10 posts measured
Reaction rate
1.71%
reactions ÷ views · ER floor
Posts in window
10
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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
32 (17 April 2026 – 2 September 2026)
Views total
67,520
Reactions total
1,155
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:43 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
Video runtime
2m 30s
Average length
1m 15s
Measured directly from 2 videos 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
3,902 reactions across 31 posts, in 12 distinct kinds. The most used accounts for 34.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,356
34.8%
👍
785
20.1%
😁
568
14.6%
🔥
512
13.1%
😢
246
6.30%
🤮
215
5.51%
🤬
101
2.59%
👏
38
0.974%
🤯
32
0.82%
🤔
25
0.641%
👎
20
0.513%
🎉
4
0.103%
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 4,008 reactions 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 17 April 2026 to 2 September 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.
Глава фонда «Дом с маяком» Лида Мониава находится на допросе в СК, ее обвиняют по статье о военных «фейках»
Как стало известно Дождю, у Лиды Мониавы провели обыск, ее обвиняют по статье о военных «фейках». Сейчас глава фонда находится на допросе в СК.
🔵В январе на нее составили протокол о «дискредитации» армии. Позже ей назначили штраф 45 тысяч рублей за три поста в телеграме.
🩷Свежие новости Дождя без VPN — в наш…
“Чушь собачья”, — сказал Путин про перспективу мобилизации после выборов в Думу. Это значит, что в Кремле видят, до какой степени общественное мнение испугалось мобилизации. Недавних заверений Медведева оказалось недостаточно.
Навальная, Ходорковский, Гуриев и Лобанов. Россия после Путина: прекращение войны, выборы и реформы. Смотрите на Дожде ток-шоу «Что делать?»
Как пройдет транзит власти после Путина? Какие реформы нужны России, чтобы встать на демократический путь развития? Обсуждают Юлия Навальная, Михаил Ходорковский и Михаил Лобанов в новом сезоне совместного проекта Сергея Гуриева и Телеканала Дождь — ток-шоу «Что делать?»
Слово этого политического сезона в России: “заложник”. Заложник. Я его теперь слышу часто. Я заложник, говорит мэр одного из сибирских городов — это реальная история, — перед которым губернатор поставил задачу набрать контрактников. А как их набрать? И так работать некому. И теперь полиция в городе будет отлавливать безработных: заставлять подписывать. И он говорит: я заложник. Мы заложники. Крупному бизнесмену прихо…
Кстати, после того, как Евгений Попов пошел на повышение, его место рядом со Скабеевой занял ведущий Алексей Казаков, не просто верный солдат партии, а горячий энтузиаст своего дела, на телеканале “Россия 24” без остатка отдавший себя борьбе с гидрой украинского нацизма и подлыми предателями родины.
И еще раз про снятие “Яблока” с выборов.
С точки зрения сегодняшнего Кремля, выборы — это не столько политическая, сколько в первую очередь административная, бюрократическая процедура. То есть набор действий, совершаемых государственным аппаратом: согласование и утверждение партий и списков кандидатов, организация голосования — в соответствии со спущенными заранее на места KPI по явке и результатам, — и т.д.
5 авгу…
Михаил Фишман — о снятии «Яблока» с выборов
Журналист и ведущий Телеканала Дождь Михаил Фишман высказался о снятии партии «Яблоко» с выборов в Госдуму: как это могло произойти, кто подсказал Путину принять это решение, и к чему оно в итоге приведет.
Читайте мнение журналиста на сайте Дождя.
🩷 Подпишись — @tvrain
Showing the 12 most recent of 32 posts we hold for @fishmanmish. 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.
Posts edited after publishing
@fishmanmish edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
12 August 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Фишман/Fishman” (@fishmanmish), 11,206 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/fishmanmish.
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.
