National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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
17 measurements spanning 16 days, net -397. 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 113,527–115,714 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
21 Aug 2026, 13:12
114,477
-81
20 Aug 2026, 12:46
114,558
-427
19 Aug 2026, 09:46
114,985
+20
18 Aug 2026, 11:13
114,965
+1,186
17 Aug 2026, 13:15
113,779
-43
16 Aug 2026, 07:56
113,822
-85
14 Aug 2026, 18:58
113,907
-74
13 Aug 2026, 06:54
113,981
-91
12 Aug 2026, 09:32
114,072
-57
11 Aug 2026, 10:43
114,129
-896
10 Aug 2026, 09:45
115,025
-272
9 Aug 2026, 10:34
115,297
+536
8 Aug 2026, 10:19
114,761
-464
7 Aug 2026, 08:25
115,225
-237
6 Aug 2026, 11:20
115,462
+588
6 Aug 2026, 01:32
114,874
no change
5 Aug 2026, 22:18
114,874
first reading
Engagement
205 posts held, back to 5 August 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 36 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.84%
avg views ÷ 114,477 subscribers
Avg views / post
11,300
205 posts measured
Reaction rate
2.71%
reactions ÷ views · ER floor
Posts in window
205
of 205 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 22 August 2026
Posts held
205 (5 August 2026 – 22 August 2026)
Views total
2,309,590
Reactions total
62,585
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 11:43 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
Photos
≈13,000
Videos
≈8,010
Links
≈10,800
Lifetime counters from Telegram’s own channel header, read 22 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
3h 35m
Average length
2m 55s
Measured directly from 74 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
60,195 reactions across 198 posts, in 9 distinct kinds. The most used accounts for 32.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
19,816
32.9%
🔥
12,460
20.7%
🙏
9,703
16.1%
🤬
9,511
15.8%
😁
5,289
8.79%
🤔
1,579
2.62%
🥰
814
1.35%
😱
643
1.07%
👎
380
0.631%
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 205 of the 205 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 62,585reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 205 most recent posts we hold, published 5 August 2026 to 22 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
77
across the posts below
Posts paid on
11
of 205 we hold a reading for · 5%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @beard_tim. 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 205 most recent posts we hold for this entry, published 5 August 2026 to 22 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.
Advertising
Ad load
0.488%
1 of 205 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
13,200
over 1 measured post
Median views · rest
11,300
over 204 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwKzjvs
1
11 August 2026
11 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 205 most recent posts we hold, published 5 August 2026 to 22 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
‼️Наконец-то вышла крутейшая книга моего друга, товарища и брата Латыша - одного из лучших инструкторов по тактмеду в России!
Книга называется «Тактическая медицина в зоне СВО», но по факту это большой письменный и очень доступный для чтения материал по осмыслению не только военной медицины, но в целом философии здоровья в условиях боевых действий и не только.
По факту получилась книга, которая должна стать настоль…
⚡️⚡️Мужчина зарезал бандита из ТЦК во время проверки документов ночью во Львове
25-летний житель Львова ударил сотрудника ТЦК ножом в шею. В ответ полицейский выстрелил в нападавшего и задержал его.
Нападавший получил ранение ноги и был госпитализирован.
Бандита из ТЦК пытались реанимировать, однако он умер в карете скорой помощи.
— украинцы, давайте отпор бандитам Зеленского!
Фронтовая птичка в TG
Фронтовая пт…
‼️Первая серия документального проекта про выдающегося советского разведчика Ивана Агаянца, главы резидентуры в Иране во время Великой Отечественной войны.
Иван Иванович Агаянц сыграл ключевую роль в создании советской внешней разведки. Будучи высококвалифицированным дипломатом, владеющим несколькими иностранными языками, он продемонстрировал выдающиеся способности в проведении специальных операций, оказавших значит…
Чай. Обычный чай. Для Людмилы Ивановны это роскошь — каждая капля воды стоит 3 километров пути.
В доме нет водопровода. Только две бочки под окнами. В них стекает грязная вода с дырявой крыши. Ею она стирает и моет полы. Но пить нельзя.
И тогда она берёт пятилитровую бутылку и идёт. 3 километра по просёлочной дороге. С больными ногами, с астмой, с давлением под 220. Экономит воду — слишком «дорого» даже лишний раз …
RAND. Управляемый беспорядок — трудный путь к скромному миру с Россией после Украины
📌Аналитический центр КЦПН перевёл большой материал американской «независимой» исследовательской организации RAND, где они рассматривают варианты потенциального перемирия России и Украины, как оно может выглядеть, что делать, если мы его, «естественно», нарушим и как этого не допустить
➖Война на Украине когда-нибудь закончится, но э…
‼️Укропские мониторинговые группы посчитали, что наши войска запускают от 1500 до 2000 дронов каждые 24 часа на Дружковку, держа под огневым контролем два логистических маршрутов, ведущих в город.
Добавлю, что это только радиоуправляемые FPV-дроны, без учёта ударов FPV с оптоволокном (их невозможно подсчитать).
Таким образом наши уже третью неделю петушат 19-й армейский корпус ВСУ.
Если же еще добавить к этой стат…
‼️Что нужно понимать про мобилизацию укропов?
В Киеве с 9 августа наблюдается резкое увеличение отлова людей по мобилизации. Были созданы дополнительные пункты мобилизации, и ТЦК теперь контролируют автобусные остановки и станции метро. Мужчины призывного возраста стараются избегать общественного транспорта, чтобы снизить вероятность мобилизации и отправки в военные лагеря, напоминающие тюрьмы.
В сети появились кар…
🆘 Ребята, не в ущерб себе, кому не сложно, помогите приюту с хвостатыми питомцами. 🙏
❗У приюта огромные долги за корм!
Аккаунт приюта: @serdce_druga
🐾 Реквизиты для помощи с пометкой «благотворительность» :
8-999-782-90-26
2202208819325813 (Сбер)
5536913963142290 (Т-Банк)
2200152912479303 (Альфа)
2200240415749338 (ВТБ)
Дарья Павловна Т
🙏103👍6👎4🤔2🥰1
Showing the 12 most recent of 205 posts we hold for @beard_tim. 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 — 7,454 of 1,583,249entries 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 62 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@beard_tim named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@oldmimerkomi named in 3 posts, 9 August 2026 – 11 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Borisenko Dmitriy @borisenkoD · 112,160 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 14 August 2026
🇷🇺Дневник Мракоборцев🇷🇺 Территория Героев @iamsniper · 136,979 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 13 August 2026
РОГОЗИН @rogozin_do · 91,995 Telegram ranks this channel #12 of 87 here — alongside 86 others — read 17 August 2026
Отряд Ковпака @otryadkovpaka · 141,166 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 13 August 2026
Военные Сводки - Чё там в мире? @military_zB · 91,655 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 17 August 2026
Собственный корреспондент @zovgrad · 128,186 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 13 August 2026
🇷🇺 DONTSTOPWAR @dontstopwar · 247,436 Telegram ranks this channel #31 of 83 here — alongside 82 others — read 10 August 2026
ZАПИСКИ VЕТЕРАНА 🇷🇺 @notes_veterans · 295,840 Telegram ranks this channel #31 of 84 here — alongside 83 others — read 10 August 2026
Фронтовая птичка @frontbird · 118,221 Telegram ranks this channel #32 of 84 here — alongside 83 others — read 14 August 2026
Z кейс @crituk · 110,377 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 15 August 2026
ПриZрак Новороссии @ghost_of_novorossia · 142,529 Telegram ranks this channel #33 of 85 here — alongside 84 others — read 13 August 2026
Роман Алехин @Alekhin_Telega · 118,309 Telegram ranks this channel #36 of 86 here — alongside 85 others — read 14 August 2026
Позывной Брюс @brussinf · 109,431 Telegram ranks this channel #38 of 81 here — alongside 80 others — read 14 August 2026
Иди и смотри @smotri_z · 128,992 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 13 August 2026
UKR LEAKS @ukr_leaks · 100,979 Telegram ranks this channel #40 of 88 here — alongside 87 others — read 15 August 2026
ТалипоV 𝐎𝐧𝐥𝐢𝐧𝐞 🅉 @talipovonlineV · 121,283 Telegram ranks this channel #40 of 85 here — alongside 84 others — read 14 August 2026
Русский тарантасъ @DmitriySteshin · 136,966 Telegram ranks this channel #46 of 88 here — alongside 87 others — read 13 August 2026
Владимир Рогов @vrogov · 100,443 Telegram ranks this channel #47 of 85 here — alongside 84 others — read 15 August 2026
ЖИВОВЪ @zhivoff · 118,793 Telegram ranks this channel #47 of 86 here — alongside 85 others — read 14 August 2026
Репортёр Руденко V @RtrDonetsk · 156,193 Telegram ranks this channel #47 of 85 here — alongside 84 others — read 12 August 2026
#МОНТЯН! @montyan2 · 304,541 Telegram ranks this channel #50 of 91 here — alongside 90 others — read 10 August 2026
Павел Иванов | Аудио статьи @a_articles · 109,544 Telegram ranks this channel #54 of 88 here — alongside 87 others — read 14 August 2026
Шепот Фронта @Tatarinov_Rus · 107,121 Telegram ranks this channel #58 of 85 here — alongside 84 others — read 15 August 2026
⚔️ СВАРЩИКИ @svarschiki · 126,478 Telegram ranks this channel #58 of 83 here — alongside 82 others — read 13 August 2026
This channel appears in 36 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 21 August 2026 — this
entry's latest reading, not the date you are reading this.
“Синяя Z Борода” (@beard_tim), 114,477 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/beard_tim.
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.
