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Channel

Что-то знаю / Павел Данилин

@ctotoznayu

On this record: Topic · Previous handles · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cross-platform identity · Referenced elsewhere · Cite this entry

14,665subscribers

+76 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-1001078079080
TypeChannel
Username@ctotoznayu
Created30 January 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/ctotoznayu

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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.

Previous handles

Recorded in 2019 as “Что-то знаю” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

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.

Views per post sit far above this size band

16,100 average views per post against 14,665 subscribers — an engagement rate of 109.5%. Across the 15,680 registered channels in the same cohort — 10,000–31,614 subscribers, posting mainly in Russian — the middle half sit between 4.62% and 17.8%, with a median of 9.02%.

What this was computed from
Window30 days (26 August 2026 – 25 September 2026)
Posts measured31 of 31 published in the window (1 exact, 30 rounded by Telegram)
Views totalled497,676
Mature posts only123.7% over 27 posts read at least 24h after publication
Subscribers14,665 measured 19 September 2026
Cohortb10000:rus · 15,680 channels · p10 2.36% · p25 4.62% · p50 9.02% · p75 17.8% · p90 30.3%
Position in cohort99.834th percentile · 12.1× the cohort median
Uncertainty±0.206% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

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 key err_high, last confirmed 25 September 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

14,54414,75414,6496 August 2026 — 14,589 subscribers6 August 2026 — 14,589 subscribers6 August 2026 — 14,584 subscribers7 August 2026 — 14,576 subscribers8 August 2026 — 14,568 subscribers10 August 2026 — 14,563 subscribers11 August 2026 — 14,556 subscribers11 August 2026 — 14,559 subscribers13 August 2026 — 14,553 subscribers14 August 2026 — 14,544 subscribers15 August 2026 — 14,559 subscribers17 August 2026 — 14,598 subscribers18 August 2026 — 14,589 subscribers19 August 2026 — 14,588 subscribers20 August 2026 — 14,594 subscribers21 August 2026 — 14,588 subscribers22 August 2026 — 14,589 subscribers24 August 2026 — 14,584 subscribers25 August 2026 — 14,575 subscribers26 August 2026 — 14,567 subscribers27 August 2026 — 14,561 subscribers28 August 2026 — 14,559 subscribers29 August 2026 — 14,733 subscribers30 August 2026 — 14,744 subscribers31 August 2026 — 14,754 subscribers3 September 2026 — 14,742 subscribers5 September 2026 — 14,749 subscribers8 September 2026 — 14,728 subscribers11 September 2026 — 14,718 subscribers13 September 2026 — 14,701 subscribers15 September 2026 — 14,696 subscribers16 September 2026 — 14,682 subscribers19 September 2026 — 14,665 subscribers14,6656 August 202619 September 2026
33 measurements spanning 44 days, net +76. 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 14,513–14,786 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 08:5814,665-17
16 Sept 2026, 23:3814,682-14
15 Sept 2026, 03:3714,696-5
13 Sept 2026, 09:1814,701-17
11 Sept 2026, 12:3514,718-10
8 Sept 2026, 22:3514,728-21
5 Sept 2026, 14:5814,749+7
3 Sept 2026, 12:2114,742-12
31 Aug 2026, 12:2514,754+10
30 Aug 2026, 09:1914,744+11
29 Aug 2026, 09:1414,733+174
28 Aug 2026, 06:4914,559-2
27 Aug 2026, 09:3714,561-6
26 Aug 2026, 11:1514,567-8
25 Aug 2026, 13:1214,575-9
24 Aug 2026, 11:4914,584-5
22 Aug 2026, 19:1714,589+1
21 Aug 2026, 12:2514,588-6
20 Aug 2026, 11:0914,594+6
19 Aug 2026, 10:1814,588first reading

Engagement

148 posts held, back to 3 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
112.3%
avg views ÷ 14,665 subscribers
Avg views / post
16,500
30 posts measured
Reaction rate
0.415%
reactions ÷ views · ER floor
Posts in window
30
of 148 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
WindowRolling 30 days · latest post in window 3 September 2026
Posts held148 (3 August 2026 – 3 September 2026)
Views total494,176
Reactions total2,053
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:13 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
2h 08m
Average length
5m 50s

Measured directly from 22 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

8,450 reactions across 138 posts, in 22 distinct kinds. The most used accounts for 17.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯1,50617.8%
❤1,38316.4%
🙏1,23614.6%
🤔91910.9%
👌90710.7%
👍7548.92%
🔥4305.09%
🤣2212.62%
👎2012.38%
🤮1782.11%
😁1702.01%
😡1571.86%
💩1531.81%
😢730.864%
👏600.71%
😱590.698%
🤷‍♂200.237%
🗿140.166%
🍾40.047%
😍20.024%
2 further kinds30.036%

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 148 of the 148 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 9,208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 148 most recent posts we hold, published 3 August 2026 to 3 September 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
2
across the posts below
Posts paid on
2
of 148 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ctotoznayu. 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 148 most recent posts we hold for this entry, published 3 August 2026 to 3 September 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.

Recent posts

3 Sept 2026, 10:04 UTC806 views20 reactionsread 3 September 2026
Photo

А?

🤣10❤8🤔1🤮1

Signed Pavel Danilin

3 Sept 2026, 06:27 UTC≈2,130 views58 reactionsread 3 September 2026
Photo

Горящие склады ВСУ при биолаборатории Биокон в Киевской области и уничтоженный локомотив на железнодорожной станции в г.Верховцево Днепропетровской области. Хорошо! Работайте, братья!

👏20🤔13🙏9🔥8👌4👍4

Signed Pavel Danilin

2 Sept 2026, 23:58 UTC≈2,480 views45 reactionsread 3 September 2026

Террористы из СБУ и ГУР перестреляли друг друга за то, кто будет крышевать телефонных террористов, которых ранее крышевали террористы из РДК. Истинное ЕГЖ.

❤18🤔8💯7👌6😁2😘2👍1🤮1

Signed Pavel Danilin

2 Sept 2026, 17:08 UTC≈2,620 views92 reactionsread 3 September 2026

Меня в чате спросили: "Не понимаю, чем принципиально удары по гражданским самолётам отличаются от налётов на гражданские объекты в российских городах"? Я даже как-то растерялся. Ведь ничем не отличаются. Что там терроризм, что тут. Кончать пора эту кокаиновую вошь. И все его бандеровское отребье кончать пора.

💯69❤12👌4🙏4🤔3

Signed Pavel Danilin

2 Sept 2026, 08:35 UTC≈2,860 views35 reactionsread 3 September 2026

В Киеве только что закончился бой между СБУ и ГУР. Как в анекдоте про профессора и студентку, которая шла через площадь, где педерасты дрались с проститутками. Только, увы, не смешно.

🤔18❤5👌4😁4🤮2👎1💩1

Signed Pavel Danilin

2 Sept 2026, 07:52 UTC≈2,730 views38 reactionsread 3 September 2026

Андрей вот возмущается мусором около станции МЦД. Накидали, мол, свиньи. Куда, мол, смотрит РЖД? А я расскажу как это делалось в моем поселке - Мещерский, что находится недалеко от МКАДа в районе Солнцево. В моем поселке было 4 или 5 мест вывоза мусора. Когда-то. Потом очень богатый и влиятельный выходец с гор купил несколько участков и построил там кластер домов на продажу. И ему очень не нравилась помойка под бо…

🤔16❤11👌4🔥4💯3

Signed Pavel Danilin

1 Sept 2026, 18:40 UTC≈2,930 views88 reactionsread 3 September 2026

Зеленский угрожает сбивать гражданские самолеты в России. Можно уронить все же одну ракету на Зеленского? Чтобы не сбивали гражданские самолеты в нашем небе?

😡39💯20🤔12🙏8👌5❤2🗿1🤮1

Signed Pavel Danilin

1 Sept 2026, 17:42 UTC≈2,920 views80 reactionsread 3 September 2026

Путин объясняет Пашиняну, что сидеть на двух стульях не получится. - И стул верните!

💯44🙏10🤔9🔥8❤5👌4

Signed Pavel Danilin

1 Sept 2026, 16:23 UTC≈2,950 views33 reactionsread 3 September 2026

Первый день Восточного экономического форума традиционно дает срез главных региональных приоритетов. В этом году тема ВЭФ звучит как «Дальний Восток – развитие во благо людей», и интересно наблюдать, как эта формулировка наполняется конкретным содержанием в работе делегаций. Если смотреть на повестку Чукотки, там довольно четко прослеживается курс, которого придерживается губернатор Владислав Кузнецов: системное разв…

🤔14❤11🙏6👍2

Signed Pavel Danilin

1 Sept 2026, 10:27 UTC≈3,140 views97 reactionsread 3 September 2026

Украина потеряла выход к морю из-за ударов Вооруженных сил России по объектам в Одессе. Об этом сообщает Reuters. _____ Хорошо!

🔥61🙏17👌8🤔4😁4❤3

Signed Pavel Danilin

31 Aug 2026, 16:42 UTC≈3,020 views62 reactionsread 3 September 2026

Экономика Ирана может рухнуть "в ближайшие недели или месяцы" из-за блокады портов, считает Бессент. ___ Или в ближайшие годы, или в ближайшие столетия...

🙏23👌17🤣12🤔6❤2👍2

Signed Pavel Danilin

31 Aug 2026, 10:26 UTC≈111,000 views57 reactionsread 3 September 2026
Photo

Краткое содержание лекции «Что такое Россия?» В рамках проекта «ДНК РФ: Духовно-нравственная культура России» опубликована лекция «Что такое Россия?» Россия — это не просто государство на карте. Это особая цивилизация, объединяющая огромную территорию, сотни народов, уникальную культуру и тысячелетнюю историю. Ответ на вопрос «Что такое Россия?» лежит не только в плоскости географии, но и в области смыслов, ценност…

❤41🤔5🙏5👍4👎1🤮1

Signed Pavel Danilin

Showing the 12 most recent of 148 posts we hold for @ctotoznayu. 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

@ctotoznayu edited 1 post 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
9 August 2026
Most recent edit
9 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

НОВОСТИ 📰
@russica2 · 745,275
10 posts
МАРТЫНОВ
@martynov2021 · 205,796
8 posts
Украина. Спецоперация. Мониторинг СВО
@MonitoringUA · 15,810
7 posts
Летучка АСП
@Social_Design_Agency · 653
2 posts
Клуб Регионов
@clubrf · 42,085
2 posts
ГРИГОРЬЕВ
@maximgrigoryev · 20,912
2 posts
Русский аванпост ⚔️
@opennewss · 7,911
2 posts
Марат Булатов
@BulatoVMR · 4,167
1 post
Летучий Лифляндец
@FliegenderLivlander · 1,289
1 post
16 негритят
@Gubery · 84,149
1 post
Кремлёвский пересмешник
@KremlinPeresmeshnik · 109,789
1 post
Мониторинг BY
@MonitoringBY · 8,506
1 post
Дремучий охранитель Z
@Ohranitel · 1,233
1 post
PhilosophyToday
@Philosophytoday · 19,744
1 post
Разумный
@ThinkTankRu · 506
1 post
Страна Z
@Z_strana · 112,466
1 post
Антифашисты Прибалтики 🇱🇻🇱🇹🇪🇪
@antifalivland · 19,308
1 post
Юрий Баранчик
@barantchik · 90,334
1 post
РФ 24
@chanel_russia24 · 11,598
1 post
Дилетант широкого профиля
@diletantura · 8
1 post
Трезвый политолог
@drunkenpolitolog · 11,325
1 post
Pavel'eVa🇷🇺
@eapinfo · 138
1 post
бесконечный пикник
@futurenotnow · 68
1 post
338
@go338 · 143,403
1 post
ХУРМА
@hurmanewss · 18,244
1 post
Комментарий дня
@kommentday · 1,238
1 post
КСТАТИ
@kstati_p · 233,639
1 post
Мэйдэй. Хроника пикирования.
@mayday_7700 · 23,352
1 post
Недальний Восток
@nedalniy_vostok · 32,858
1 post
Офицер на передовой/Комитет офицеров России
@officer_on_the_front2 · 13,097
1 post
Распутица
@rasputicaa · 124,370
1 post
Россия сейчас • Новости
@ria_novosti_russiya · 1,169,882
1 post
РУССКИЙ ДНЕВНИК
@russdiary · 14,617
1 post
Сергей Киселёв 🇷🇺
@severia · 79
1 post
SMM-склад
@sklad_smm · 460
1 post
МАЙОР В ОТСТАВКЕ
@sovietmajor · 156
1 post
Выборный
@vibornyk · 101,270
1 post
Юлия Витязева
@vityzeva · 48,753
1 post
Канал визионера
@vizioner_rf · 78,782
1 post

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 118 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.

Names

Channels on the register whose handles appear in this channel's posts.

Юрий Баранчик
@barantchik · 90,334
4 posts
НОВОСТИ 📰
@russica2 · 745,275
4 posts
Хайпбист и политтехнолог
@biounhype · 665
3 posts
Новости с Останиной
@ninaostanina · 55,270
3 posts
ШАФРАН
@annashafran · 48,103
2 posts
Никита Кричевский
@antiskrepa · 12,523
2 posts
ЧАДАЕВ
@chadayevru · 102,172
2 posts
DELYAGIN's special
@delyagin · 137,230
2 posts
Глебсмит
@glebsmith77 · 28,144
2 posts
Умный еврей при губернаторе. Авторский канал Андрея Перла
@governorsjew · 19,071
2 posts
Елена Коломийченко
@konservativnaya · 9,410
2 posts
Вадим Попов Мнение
@popovopinionlive · 4,007
2 posts
Ценности.РФ
@tsennostirf · 8,179
2 posts
Как бы Mikhail Vinogradov
@Vinogradov74 · 28,200
2 posts
Канал визионера
@vizioner_rf · 78,782
2 posts
ЖИВОВЪ
@zhivoff · 129,730
2 posts
БогданоV. О школе и не только
@aboutschools · 25,760
1 post
ДУМАем Z
@dumayem · 19,034
1 post
Ярослав Листов историк
@iaroslavlistovistorik · 4,846
1 post
Коммунистический интернационал
@kommunisticheskyinternational · 150
1 post
Наука и университеты
@naukauniver · 43,122
1 post
НОВОСТИ - Родители Москвы
@roditelimoskvynews · 25,028
1 post
Депутат Госдумы Олег Смолин
@smolinDuma · 967
1 post
Друид
@wisedruidd · 59,066
1 post

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.

Cross-platform identity — Wikidata

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.

Q4154599 on Wikidata, read 13 September 2026
LabelPavel Danilin
DescriptionRussian journalist
X / Twitter@danilinp

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Единый учебник истории (ru.wikipedia.org)
“…зарубал огромные деньжищи для создателей учебников и издателей»https://t.me/ctotoznayu/11612. Идея создания единых учебников истории России для…”
read 13 September 2026

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Что-то знаю / Павел Данилин” (@ctotoznayu), 14,665 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ctotoznayu.

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.