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 55% 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 the other topics.
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 in near-verbatim form 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 0 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 83 comparable posts for this entry, running 10 July 2026 to 10 November 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).
Views per post sit far above this size band
45,200 average views per post against 60,230 subscribers — an engagement rate of 75.1%. Across the 8,315 registered channels in the same cohort — 31,623–99,997 subscribers, posting mainly in Russian — the middle half sit between 5.08% and 20.8%, with a median of 10.5%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
24 of 24 published in the window (0 exact, 24 rounded by Telegram)
Views totalled
1,085,800
Mature posts only
76.4% over 23 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source · err_high, last confirmed 11 November 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.
Growth
65 measurements spanning 98 days, net +610. 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 59,471–60,342 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 12:49
60,189
+3
9 Nov 2026, 17:58
60,186
-12
8 Nov 2026, 10:39
60,198
-15
7 Nov 2026, 07:46
60,213
-8
6 Nov 2026, 07:39
60,221
-9
5 Nov 2026, 10:15
60,230
-7
4 Nov 2026, 09:37
60,237
-4
3 Nov 2026, 12:37
60,241
+13
2 Nov 2026, 11:00
60,228
+50
1 Nov 2026, 10:36
60,178
+3
31 Oct 2026, 09:45
60,175
-20
30 Oct 2026, 10:09
60,195
-25
29 Oct 2026, 10:00
60,220
+3
28 Oct 2026, 06:00
60,217
+18
27 Oct 2026, 05:28
60,199
+91
26 Oct 2026, 01:56
60,108
-6
25 Oct 2026, 05:17
60,114
-6
24 Oct 2026, 04:00
60,120
+55
23 Oct 2026, 01:46
60,065
+85
21 Oct 2026, 23:27
59,980
first reading
Engagement
87 posts held, back to 10 July 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 195 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
78.5%
avg views ÷ 60,189 subscribers
Avg views / post
47,300
21 posts measured
Reaction rate
1.77%
reactions ÷ views · ER floor
Posts in window
21
of 87 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 10 November 2026
Posts held
87 (10 July 2026 – 10 November 2026)
Views total
992,300
Reactions total
17,609
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 11:03 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.
Reaction mix
81,928 reactions across 87 posts, in 18 distinct kinds. The most used accounts for 54.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
44,294
54.1%
👍
13,999
17.1%
🤔
10,657
13.0%
❤
4,530
5.53%
🔥
3,408
4.16%
😁
1,733
2.12%
👏
591
0.721%
🤨
514
0.627%
🙏
504
0.615%
🐳
467
0.57%
🤯
377
0.46%
😱
355
0.433%
😢
322
0.393%
🎅
103
0.126%
👌
45
0.055%
⚡
17
0.021%
🥰
11
0.013%
💋
1
0.001%
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 87 of the 87 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 81,928 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 10 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 13 of 21 posts held from the last 30 days (61.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Основной темой переговоров в Абу-Даби заявляется обсуждение новой архитектуры европейской безопасности. Но как из этого может получиться что-то путное, если позиции сторон кардинально расходятся? Согласно публичным заявлениям, европейские союзники Украины хотят сделать из неё супервооружённого монстра с миллионной армией и войсками "коалиции желающих" в её тылу. То есть фактически превратить украинский режим в европе…
Администрация Трампа пытается каким-то образом завершить два конфликта - украинский и иранский - до начала выборов президента Соединённых Штатов в 2028 году. При этом более важным для Вашингтона является второй: складывающаяся вокруг Ирана ситуация может сильно подорвать американские позиции на Ближнем Востоке, который сегодня хоть и не относится к приоритетным для США, однако всё же имеет для них значение. Украина ж…
Поражение республиканцев на промежуточных выборах в Конгресс было предопределено политикой первых полутора лет нахождения Дональда Трампа в кресле президента США. Вопрос был только в том, насколько тяжёлым оно будет: потеряет Республиканская партия одну палату, обе, или же демократы смогут дойти до импичмента Трампу. Последнего не случилось, однако можно констатировать, что нынешняя американская администрация потерп…
Администрация Трампа уже готовится к поражению на промежуточных выборах в Конгресс, о чём свидетельствуют заявления как госсекретаря Марко Рубио, там и самого хозяина Белого дома. При этом тяготеющий к неоконам (но несколько сбавивший обороты в последнее время) Рубио готов к диалогу с оппонентами и высказывается о перспективах новой американской политической конфигурации в примирительном ключе. Но Дональд Трамп, как …
Взял интервью у Дмитрия Евстафьева, в котором поговорили о почти неизбежной эскалации в Европе в случае продолжения нынешних тенденций в конфликте на Украине. Дмитрий Геннадьевич, которого автор канала знает много лет, всегда умел давать образные характеристики различным международным процессам и отдельным личностям, влияющим на мировую политику. В случае с Дональдом Трампом сложно приклеить иную этикетку к его деяте…
После возвращения в Варшаву польского президента Кароля Навроцкого в стране начался классический "тяни-толкай" с неопределённым исходом: глава государства и его оппонент премьер-министр Дональд Туск продолжают гнуть каждый свою линию и бороться за контроль над Конституционным трибуналом. Пока исход этого противостояния предсказать сложно, однако можно констатировать одно: в стране начались серьёзные политические перт…
Попытка государственного переворота в Польше - довольно неожиданная вещь, классический "чёрный лебедь" на европейском небосклоне (их уже там и так немало, но вот подоспел ещё один). Интересно понаблюдать, чем всё закончится. Однако же можно обоснованно предположить, что польский премьер Дональд Туск никогда бы не решился на такой шаг, если бы он не был прямо санкционирован брюссельской бюрократией. Тем не менее, здес…
Стрим завершён. Видеозапись доступна здесь.
Сегодня в 19.00 мск на ютуб-канале "Филипповский, 13" состоится стрим, посвящённый перспективам урегулирования конфликта на Украине.
Среди обсуждаемых вопросов:
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• Каковы перспективы начала большой войны в Европе в результате выхода текущего конф…
Соединённые Штаты решили играть в Бразилии в долгую и эвакуировали на свою территорию проигравшего президентские выборы правого кандидата Флавиу Болсонару. Поняв, что перевести крупнейшую латиноамериканскую страну в разряд американских сателлитов прямо сейчас не получится, Вашингтон сделал ставку на планомерную раскачку бразильского латиноамериканского поля (и так расколотого примерно пополам, судя по двум электораль…
Кажется, что в случае открытия архивов вскроется такое, что руководивший Хорватией в годы гражданской войны Франьо Туджман однозначно будет историками будущего отнесён к категории нацистов. Одни только события в Сербской Краине 1995 года чего стоят. Так что Горану Яндроковичу и его товарищам лучше не будить лихо.
Для администрации Трампа наступает момент истины на Ближнем Востоке: новая военная операция против Ирана, которую она готовит, не может закончиться таким же невнятным результатом как то, что происходило в феврале - апреле этого года. Иначе глобальный праздник непослушания превратится в настоящий шабаш. Америка должна продемонстрировать мощь сверхдержавы в конвенциональном формате и главный вопрос заключается в том, е…
💯482🤔231👍54🔥23❤21🤨8🙏7🐳6
Showing the 12 most recent of 87 posts we hold for @pintofmind. 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
@pintofmind edited 5 posts 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
10 August 2026
Most recent edit
10 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 67 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 63 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.
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 22 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.
Олег Ясинский @olegyasynsky · 58,812 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 22 August 2026
Социософт.ТВ @sociosoft · 20,187 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 28 September 2026
Ватфор | Автострадный think tank @vatfor · 32,322 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 5 September 2026
Павел Щелин. Официальный канал. @common_sen · 82,757 Telegram ranks this channel #15 of 95 here — alongside 94 others — read 18 August 2026
Алексей Бобровский @alexbobrowski · 36,955 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 1 September 2026
Профессор смотрит в мiръ. Авторский Анонимный канал Дмитрия Евстафьева @dimonundmir · 205,312 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 11 August 2026
У Жукова @uzhukova · 41,353 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 29 August 2026
Парламент с Кнопкой @parbut · 34,648 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 4 September 2026
Коты и кошка Крамника @kramnikcat · 38,914 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 31 August 2026
kolobok1973 @kolobok1973 · 21,699 Telegram ranks this channel #36 of 89 here — alongside 88 others — read 23 September 2026
Глебсмит @glebsmith77 · 28,386 Telegram ranks this channel #43 of 94 here — alongside 93 others — read 10 September 2026
Брошка Наебуллиной @naebrosh · 42,055 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 29 September 2026
РУССТРАТ @russtrat · 108,834 Telegram ranks this channel #51 of 92 here — alongside 91 others — read 14 August 2026
Россия в глобальной политике @ru_global · 54,944 Telegram ranks this channel #53 of 92 here — alongside 91 others — read 24 August 2026
Елена Панина @EvPanina · 161,885 Telegram ranks this channel #55 of 91 here — alongside 90 others — read 12 August 2026
Простые числа @primenumbers2021 · 68,623 Telegram ranks this channel #71 of 92 here — alongside 91 others — read 20 August 2026
Клим Жуков @klimzhukoff · 137,670 Telegram ranks this channel #71 of 88 here — alongside 87 others — read 13 August 2026
Графономика @topinfographic · 20,118 Telegram ranks this channel #75 of 96 here — alongside 95 others — read 29 September 2026
Пока вы спали @pvsgns · 27,394 Telegram ranks this channel #79 of 90 here — alongside 89 others — read 10 September 2026
Семен Уралов @su2050 · 80,313 Telegram ranks this channel #83 of 89 here — alongside 88 others — read 18 August 2026
Шемякин, усни! @gillshem · 39,130 Telegram ranks this channel #85 of 91 here — alongside 90 others — read 31 August 2026
Евгений Спицын @SpicynEY · 28,806 Telegram ranks this channel #86 of 92 here — alongside 91 others — read 9 September 2026
ЦИФРОВАЯ ИСТОРИЯ – Егор Яковлев @egoryakovleff · 61,630 Telegram ranks this channel #89 of 93 here — alongside 92 others — read 22 August 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
4 domains this 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 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Пинта разума” (@pintofmind), 60,189 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/pintofmind.
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.
