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Channel

Черный список Томск

@tomsk_black

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

15,443subscribers

-24 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001885381828
TypeChannel
Username@tomsk_black
DescriptionЧС Томска –все, что нам не нравится в городе: кидалово, хамское поведение, плохие товары Прислать новость: @ChSTomskRobot Реклама: @SeferovaDina Реклама: https://telega.in/c/tomsk_black
Created27 January 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/tomsk_black

Topic

Local community — 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 65% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@tomsk_kakto/105514 Aug 2026, 14:31 UTC@tomsk_black/14221 · this entry4 Aug 2026, 14:31 UTC1.00under a minute
@tomsk_kakto/105525 Aug 2026, 00:31 UTC@tomsk_black/14222 · this entry5 Aug 2026, 00:31 UTC1.00under a minute
@tomsk_kakto/105545 Aug 2026, 05:01 UTC@tomsk_black/14224 · this entry5 Aug 2026, 05:01 UTC1.00under a minute
@tomsk_kakto/105555 Aug 2026, 08:00 UTC@tomsk_black/14225 · this entry5 Aug 2026, 08:00 UTC1.00under a minute
@tomsk_kakto/105575 Aug 2026, 14:31 UTC@tomsk_black/14227 · this entry5 Aug 2026, 14:31 UTC1.00under a minute
@tomsk_kakto/105626 Aug 2026, 11:01 UTC@tomsk_black/14232 · this entry6 Aug 2026, 11:01 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@tomsk_kakto16 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (115)

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. 2 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 25 comparable posts for this entry, running 3 August 2026 to 8 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 @tomsk_black — 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 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.

Growth

15,44315,47015,456.56 August 2026 — 15,467 subscribers7 August 2026 — 15,468 subscribers8 August 2026 — 15,470 subscribers9 August 2026 — 15,466 subscribers10 August 2026 — 15,461 subscribers11 August 2026 — 15,458 subscribers12 August 2026 — 15,456 subscribers13 August 2026 — 15,446 subscribers14 August 2026 — 15,443 subscribers6 August 202614 August 2026
9 measurements spanning 9 days, net -24. 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 15,439–15,474 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 23:4715,443-3
13 Aug 2026, 16:2615,446-10
12 Aug 2026, 15:3415,456-2
11 Aug 2026, 16:4415,458-3
10 Aug 2026, 14:2215,461-5
9 Aug 2026, 10:5115,466-4
8 Aug 2026, 07:2615,470+2
7 Aug 2026, 05:1715,468+1
6 Aug 2026, 10:0315,467first reading

Engagement

77 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.38%
avg views ÷ 15,443 subscribers
Avg views / post
830
77 posts measured
Reaction rate
0.51%
reactions ÷ views · ER floor
Posts in window
77
of 77 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. It is computed over the 59 of 77 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held77 (3 August 202615 August 2026)
Views total63,942
Reactions total247
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 17:49 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
7,060
Videos
1,880
Links
6,020

Lifetime counters from Telegram’s own channel header, read 15 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
42s
Average length
21s

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

247 reactions across 56 posts, in 28 distinct kinds. The most used accounts for 15.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3715.0%
🤣3413.8%
😁2710.9%
👍187.29%
👎176.88%
👏166.48%
💊166.48%
😱166.48%
🔥104.05%
😡104.05%
😍83.24%
41.62%
💯41.62%
❤‍🔥31.21%
🌚31.21%
👀31.21%
😢31.21%
😭31.21%
🙊31.21%
🤔31.21%
8 further kinds93.64%

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 59 of the 77 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 247reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 77 most recent posts we hold, published 3 August 2026 to 15 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.

Recent posts

15 Aug 2026, 14:31 UTC195 views1 reactionsread 15 August 2026
Photo

🪦 Место на кладбище теперь можно купить через Госуслуги Цифровизация добралась до самого финального этапа жизни. Государство потратит 295 миллионов рублей на оцифровку 14 тысяч кладбищ, чтобы россияне могли выбрать и оплатить участок для захоронения прямо на портале. Первыми оценить удобство сервиса смогут жители 21 региона, там система заработает уже к 1 декабря. Томск в МАХ - подпишись

🔥1

15 Aug 2026, 11:01 UTC326 views3 reactionsread 15 August 2026
Photo

Что заставляет взрослого человека так пакостить? Писать имя, номер квартиры и т.д. Томск в МАХ - подпишись

😁3

15 Aug 2026, 08:00 UTC391 views3 reactionsread 15 August 2026
Photo

💸 Сломанные фонтаны в центре Томска останутся лишь декорациями Малые фонтанные чаши в Губернаторском квартале больше не порадуют томичей прохладными брызгами. Оборудование так жестоко пострадало от рук вандалов, что восстановлению просто не подлежит. Ситуацию усугубляет позиция мэрии: чиновники признались, что в бюджете на закупку новых деталей нет ни копейки. Демонтировать конструкции тоже не станут, чтобы не пор

😢3

15 Aug 2026, 05:01 UTC449 views8 reactionsread 15 August 2026
Photo

🍏❌ «Яблоко» не пройдет в Госдуму: Верховный суд снял партию с выборов Верховный суд России поставил точку в предвыборной кампании «Яблока». Партию полностью отстранили от участия в выборах, лишив возможности побороться за депутатские мандаты. Претензий к политикам накопилось достаточно. Суд усмотрел в их работе не только нарушения правил агитации и использование чужого контента, но и куда более серьезные вещи — при

😡5😭2💊1

15 Aug 2026, 03:30 UTC468 viewsread 15 August 2026
Photo

🚧 Первый участок томского Малого транспортного кольца заасфальтируют в сентябре и откроют до конца года Укладка финишного слоя асфальта на пятикилометровом отрезке начнется уже осенью. Стройка стартовала в 2023 году, и сегодня объект готов на три четверти. Власти обещают запустить движение по этой дороге до конца года, освоив большую часть из общих 5,5 миллиарда рублей. В перспективе кольцо хотят продлить до Акаде

15 Aug 2026, 00:31 UTC532 views1 reactionsread 15 August 2026
Photo

Финальный босс электросамокатчиков замечен в Москве - 3 в 1, получается. Томск в МАХ - подпишись

1

14 Aug 2026, 14:31 UTC603 views2 reactionsread 15 August 2026
Photo

😅 Химар в стиле Человека-паука продают в Казахстане Цена всего около 1800 рублей. Томск в МАХ - подпишись

💊2

14 Aug 2026, 11:01 UTC623 views7 reactionsread 15 August 2026
Photo

Ребята, сделайте паузу, пожалуйста, я не успеваю за всеми вашими последними модными веяниями 😂 Томск в МАХ - подпишись

🤣7

14 Aug 2026, 08:00 UTC676 viewsread 15 August 2026
Photo

🤩 Томские аграрии собирают гигантский урожай: по 50 тонн свеклы и 100 тонн капусты Фермеры Шегарского и Томского районов уже вышли в поля, и их результаты больше похожи на сельскохозяйственную магию. С одного гектара здесь выкапывают по 25 тонн картофеля и 30 тонн моркови. Свекла радует еще больше — по 50 тонн, а капуста и вовсе бьет все ожидания, принося сотню тонн урожая всего с пяти гектаров. Зерновые тоже не о

14 Aug 2026, 05:01 UTC707 views2 reactionsread 15 August 2026
Photo

🤔 Медведев предрек завершение СВО на российских условиях Зампред Совбеза Дмитрий Медведев выступил перед партийными экспертами и обозначил свое видение финала специальной военной операции. Политик заявил, что конфликт в той или иной форме будет остановлен, и это лишь вопрос времени. Главный акцент Медведев сделал на итогах. Он выразил твердую уверенность, что когда наступит пора ставить точку, условия завершения бу

👍1🆒1

14 Aug 2026, 03:30 UTC735 views1 reactionsread 15 August 2026
Photo

🦠 Энтеровирус атакует Томскую область: число заболевших подскочило в 4,5 раза за месяц В регионе стартовал сезонный пик энтеровирусной инфекции, и статистика заставляет насторожиться. Только за июль врачи подтвердили диагноз у 58 человек, что в четыре с половиной раза превышает июньские показатели. Август лишь подтверждает статус самого опасного месяца: за первую неделю медики уже выявили 16 новых пациентов, среди

🌚1

14 Aug 2026, 00:31 UTC740 views1 reactionsread 15 August 2026
Photo

Природа открыто намекает – осень близко! 🍂 Томск в МАХ - подпишись

😭1

Showing the 12 most recent of 77 posts we hold for @tomsk_black. 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.

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

“Черный список Томск” (@tomsk_black), 15,443 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tomsk_black.

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.