Politics & activism — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (3 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @oper_goblin — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
10 measurements spanning 7 days, net -552. 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 497,309–498,027 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:45
497,392
-101
11 Aug 2026, 23:07
497,493
-102
10 Aug 2026, 20:14
497,595
-62
9 Aug 2026, 22:31
497,657
-72
9 Aug 2026, 02:01
497,729
-72
8 Aug 2026, 05:11
497,801
-52
7 Aug 2026, 08:45
497,853
-75
6 Aug 2026, 05:40
497,928
-16
6 Aug 2026, 00:42
497,944
no change
5 Aug 2026, 22:18
497,944
first reading
Engagement
60 posts held, back to 2 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.3%
avg views ÷ 497,392 subscribers
Avg views / post
85,900
60 posts measured
Reaction rate
2.46%
reactions ÷ views · ER floor
Posts in window
60
of 60 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 12 August 2026
Posts held
60 (2 August 2026 – 12 August 2026)
Views total
5,156,200
Reactions total
126,711
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:38 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
52m 07s
Average length
3m 28s
Measured directly from 15 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
93,520 reactions across 49 posts, in 6 distinct kinds. The most used accounts for 36.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
34,094
36.5%
👍
29,126
31.1%
🔥
20,276
21.7%
🤬
5,417
5.79%
😢
3,164
3.38%
👎
1,443
1.54%
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 60 of the 60 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 126,711reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 2 August 2026 to 12 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
149
across the posts below
Posts paid on
33
of 60 we hold a reading for · 55%
Most on one post
46
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oper_goblin. 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 60 most recent posts we hold for this entry, published 2 August 2026 to 12 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
3.33%
2 of 60 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
78,900
over 2 measured posts
Median views · rest
91,900
over 58 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
2Vtzqvx84u9
1
7 August 2026
7 August 2026
2VtzqwUpyYw
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 60 most recent posts we hold, published 2 August 2026 to 12 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.
Помимо деятелей британского политического истеблишмента, присутствовали лица из нашего так называемого «светского» общества. Полиция задержала российских англофилов и попросила дать объяснения.
Люди подобрались впечатляюще разные. Директор ФИЦ «Биотехнологии РАН» Алексей Фёдоров и директор института физики и атмосферы РАН Владимир Семёнов. Преподаватель ВШЭ Екатерина Синева. Журналист «Новой газеты» Андрей Колеснико…
🔴 Во 2 роту спец.минирования 14 отдельной инженерной бригады передали:
✅ 2 усилителя сигнала 50 Ватт «Vigor FPV» на диапазоны частот 350-550 МHz и 2,1-2,6GHz в полной комплектации;
✅ 2 изделия РЭБ-тест для проверки излучающей способности наших изделий класса «Vigor»;
✅ 5 четырёхсекционных сборных мачт связи (4×2 метра);
✅ 2 рюкзака взводного медика типа Спанкер;
✅ 20 индивидуальных аптечек;
✅ 5 медицинских подс…
⚽️ Забиваем гол вместе!
Хотите мяч с автографами игроков "Зенита"?
Тогда:
👉 Подписывайтесь на радио Sputnik Санкт-Петербург в Телеграм и МАКС!
👉 Нажимайте кнопку "Участвую"
👉 Зовите друзей: за каждых троих вы получаете дополнительный шанс на победу!
📆 Итоги — 17 августа в 20:00!
Участников: 147
Призовых мест: 1
Дата розыгрыша: 20:00, 17.08.2026 MSK (5 дней)
⠀
🔴 Свидетельства вернувшихся из плена о зверствах украинских неонацистов.
Смотреть на Rutube
Смотреть предыдущие свидетельства
Наш Международный общественный трибунал по преступлениям украинских неонацистов (председатель — М. С. Григорьев) из представителей гражданского общества 35 стран мира продолжает сбор свидетельств преступлений киевского режима.
Российский военнослужащий с позывным "Малой":
00:00 "Один и…
В Россию вернется сословный строй, считают Дмитрий Пучков и Михаил Хазин
"Наши начальники, сформировались при советской власти. Они ее могут любит или не любить, но все знают, что люди равны. Будь ты дворник или нет, дети могут ходить в одну школу.
А вот молодежь уже четко говорит: "Я хозяин жизни, а ты прислуга, и должен вести себя как прислуга".
И тут надо понимать, какая модель развития общества нас ждет дальше…
Дмитрий Пучков призвал ужесточить проверку БАДов на маркетплейсах
"Кто разрешает продавать? Кто это проверяет? Где наш врач Онищенко?
Надо за всем этим смотреть и всех негодяев пресекать на подходе в онлайн-маркетах.
Не ешьте ничего оттуда [с маркетплейсов] и детям объясните, что ничего есть нельзя: ни оздоровительного, ни якобы целебного", — объяснил Пучков.
❗️А мы напомним, что Геннадий Онищенко выходит в эфир …
Джентльмены должны выглядеть прилично.
Поэтому сделали футболку.
Кино — известное.
Перевод — правильный.
Компания — достойная.
А поскольку у джентльмена должен быть выбор, сделали сразу два варианта: чёрный и белый.
Какой выбрать?
Правильный ответ — оба.
Джентльменский набор уже на «Opermayki» 👇
⚫️ Чёрная
⚪️ Белая
Реклама. ИП Пучков Ю.Д. ИНН 782512743411
Erid: 2VtzqwUpyYw
👍573🔥127🤣63👎33
Showing the 12 most recent of 60 posts we hold for @oper_goblin. 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.
Citation-graph rank
Citation-graph rank — 3,843 of 1,151,006entries 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 75 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
@oper_goblin 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.
@radio_sputnik named in 10 posts, 8 August 2026 – 12 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 9 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.
Вован и Лексус @Russiacalling · 174,820 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 12 August 2026
Бочарик (ага, тот самый) @botcharov · 211,475 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 11 August 2026
Дорогая Хурма @expensive_hurma · 151,923 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 12 August 2026
ДОКТОР МЯСНИКОВ @drmyasnikov · 181,107 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 12 August 2026
#МОНТЯН! @montyan2 · 305,225 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 10 August 2026
Профессор смотрит в мiръ. Авторский Анонимный канал Дмитрия Евстафьева @dimonundmir · 208,922 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 11 August 2026
Владлен Татарский @vladlentatarsky · 175,803 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 12 August 2026
СТАС БОМБИТ @ikakprosto · 329,993 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 10 August 2026
История человечества @historic_ru · 240,033 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 11 August 2026
Коза кричала @kozakrichala · 181,010 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 12 August 2026
ПАНЧЕНКО @panchenkodi · 408,315 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 10 August 2026
Lisarulit @lisarulit777 · 269,145 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 11 August 2026
Захар Прилепин @zakharprilepin · 227,039 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 11 August 2026
[BadComedian] @TheBadComedian · 598,864 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 8 August 2026
Моя страна - Россия! | Путешествия @moyarossia · 163,196 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 12 August 2026
БЕСОГОН @nikitabsg · 393,131 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 10 August 2026
Саваничи 🇷🇺 @savanichi · 195,814 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 11 August 2026
Colonelcassad @boris_rozhin · 743,768 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 8 August 2026
Кот Костян - официальный канал🇷🇺 @kotreal · 158,590 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 12 August 2026
Лука Ебков @luka_ebkov · 429,384 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 10 August 2026
Клубный Сервис @klubniy_servis · 191,371 Telegram ranks this channel #12 of 82 here — alongside 81 others — read 11 August 2026
Сергей Михеев @ironlogica · 212,338 Telegram ranks this channel #12 of 92 here — alongside 91 others — read 11 August 2026
Yaplakal.com @yaplakal · 423,658 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 10 August 2026
Выпускайте КракенаZ! @rlz_the_kraken · 504,358 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 9 August 2026
This channel appears in 197 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.
Domains linked from posts
11 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Tynu40k Goblina (oper.ru)” (@oper_goblin), 497,392 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/oper_goblin.
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.
