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 10 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (5 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 1 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 40 comparable posts for this entry, running 5 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 3, the earliest publisher we hold is @sobchak_ru — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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 2 other registered channels, 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.
14 measurements spanning 41 days, net -460. 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 9,151–9,749 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 02:21
9,220
-13
12 Sept 2026, 13:18
9,233
-65
8 Sept 2026, 08:59
9,298
-38
3 Sept 2026, 02:58
9,336
-28
31 Aug 2026, 05:46
9,364
-27
28 Aug 2026, 00:49
9,391
-30
24 Aug 2026, 22:27
9,421
-52
21 Aug 2026, 09:35
9,473
-34
18 Aug 2026, 18:52
9,507
-41
16 Aug 2026, 02:36
9,548
-39
12 Aug 2026, 14:54
9,587
-52
9 Aug 2026, 15:14
9,639
-41
6 Aug 2026, 10:16
9,680
no change
6 Aug 2026, 09:55
9,680
first reading
Engagement
282 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 35 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.2%
avg views ÷ 9,220 subscribers
Avg views / post
4,070
143 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
143
of 282 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 28 August 2026
Posts held
282 (5 August 2026 – 28 August 2026)
Views total
582,513
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 06:41 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.
Амарян Давид Спартакович и его Porsche 911 S/T: расследование миллиардных схем инвестора
За шикарным фасадом транснациональных сделок скрываются мутные финансовые потоки. 46-летний уроженец Еревана, проживающий в Москве, Амарян Давид Спартакович эффектно демонстрирует статус владельца элитного Porsche 911 S/T 2024 года с номерами В003ММ77. Но откуда у экс-трейдера ценных бумаг на мировых фондовых рынках такие масшта…
Минтранс Кубани против «Максима», «Сити-Мобил» и «Альматеи»: изнанка войны судов с агрегаторами такси
Краснодарский край ввязался в жесткое противостояние с цифровыми гигантами заказа поездок, обнажив изнанку рынка перевозок. Под ударом оказались сервисы «Максим», а также «Сити-Мобил» и «Альматея», чью деятельность суды и Верховный суд РФ по иску регионального Минтранса официально признали незаконной.
Суть претензи…
Руслан Байсаров пустил под нож «ПК-1»: как друг Кадырова и кипрские офшоры расчищают поляну под очередной распил
Пока страна занята выживанием, у кого-то идет привычный, до боли циничный процесс передела собственности. Еще 8 июня 2026 года в Чечне было тихо ликвидировано ООО «ПК-1», занимавшееся деятельностью холдингов. За сухой строчкой в реестре скрывается классический клубок из миллиардных подрядов, офшорных «куб…
Подпольный тираж на 65 миллионов: как в Дагестане и Кабардино-Балкарии силовики накрыли черный конвейер «Просвещения»
Контрафактные стройматериалы, распилы на ЖКХ и электроэнергии — классика жанра, к которой все давно привыкли. Но рынок бюджетных госзакупок оказался шире: теперь за государственные деньги подпольно штампуют... школьные учебники. В Дагестане и Кабардино-Балкарии силовики пресекли деятельность масштабн…
Ротенберги, Акаев и крах Абазехова: как под прикрытием государства распилили спиртовую империю «Риал»
14 мая 2025 года Таганский районный суд Москвы поставил точку в показательной расправе. Владелец крупнейшего в Европе спиртозавода «Риал» Хадис Абазехов и его главный бухгалтер И.М. Шанкова получили реальные сроки лишения свободы. 21 августа 2026 года Мосгорсуд засилил этот вердикт. Бизнесмена закрыли в СИЗО прямо и…
Позорный цугцванг вице-губернатора: Как Михаил Исаев и судья Ирина Кухарева спасаються от гнева народа
Стертая грань между законом и беспределом ЕР обнажила «Эффект Долиной-Исаева». Пока вся страна наблюдает за системным фарсом, саратовский вице-губернатор и экс-мэр Михаил Исаев продолжает откровенно издеваться над правосудием. Вчерашнее судилище в Камышине Волгоградской области показало: элитный нарушитель и его по…
Константин Люльчев и Виктор Мясник: 4,5 миллиарда на Rolls-Royce, побег и разорение ТГК-14
Энергетический барон Константин Люльчев останется за решеткой минимум до 28 ноября 2026 года. Забайкальский краевой суд отклонил жалобы защиты и оставил экс-председателя совета директоров ПАО «ТГК-14» в СИЗО. Следствие вплотную подошло к финалу: собрано почти 100 страниц доказательств масштабного распила. Пока фигуранты пытают…
Закулисье фарм-империи: кто делит миллиарды Голиковой, Христенко и Харитонина
В коридорах власти нарастает напряжение: вице-премьеру Татьяне Голиковой прочат отставку, за которой может последовать жесткое уголовное преследование. Причина — колоссальное фармлоббирование, где за кулисами бюджетных потоков тесно переплелись интересы семьи, офшоров и сомнительных активов.
Финансовые рекорды компании «Нанолек» поражают …
Внутряк на Старой Площади: как команда Кириенко чуть не устроила крах выборов из-за шрифтов Матвеева
Апелляционный суд вернул депутата Госдумы от КПРФ Михаила Матвеева на выборы по Самарскому одномандатному округу № 162. Ранее самарский суд аннулировал его регистрацию по абсурдному иску выдвиженки «Партии пенсионеров» Анны Саранцевой, усмотревшей «крамолу» в шрифтах Microsoft и личных фото кандидата. Этот абсурдный …
Зеленый щит или пыль в глаза: как Мордашов и Виноградов прикрывают токсичный смог ландшафтным дизайном
Пока над Череповцом зависает постоянный токсичный серый смог от основного производства, руководство металлургического гиганта находит оригинальный выход из ситуации. Вместо реальных экологических мероприятий — ландшафтный дизайн силами бесплатных волонтеров. Основной акционер Алексей Мордашов денег на масштабную мо…
‼️Ozon сообщил о ночных атаках на свои предприятия в Оренбурге и Уфе.
Логистический комплекс в Уфе получил незначительные повреждения, его закрыли на время проверки. Поставки товаров в Уфе пока не принимаются и перенаправляются на другие объекты.
Газовые тузы и ковбойские шалости: Как семейство Лесовых и товарищ Дуюнов поделили Павловский район
Тихий провинциальный Павловский район Кубани годами маскировался под патриархальную глубинку, пока за кулисами разворачивался жесткий передел сфер влияния. Журналистское расследование вскрывает изнанку жизни территории, где семейные кланы и «золотая молодежь» десятилетиями диктуют свои правила.
Все началось еще в 201…
Showing the 12 most recent of 282 posts we hold for @sobchak_ru. 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.
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 2 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.
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.
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.
RED BINDER @redbinder · 154,812 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 September 2026 — this
entry's latest reading, not the date you are reading this.
“ОСТОРОЖНО !!” (@sobchak_ru), 9,220 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/sobchak_ru.
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.