То в Сибири где-то, То где-то под Питером
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Channel
@primenumbers2021
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
68,623subscribers
+657 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001434266029 |
|---|---|
| Type | Channel |
| Username | @primenumbers2021 |
| Description | Поддержать нас можно здесь: https://taplink.cc/primenumbers Предложка и разбан: https://t.me/primenumbers2021?direct Чат подписчиков: @PrimeNumbers_chat Живые встречи подписчиков: @pnmeetingsbot |
| Created | 25 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/primenumbers2021 |
National news — a classification, not a measurement. 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.
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.
Posts published here appear in near-verbatim form on 4 other registered channels. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @dumai_sam_i_sei4as/805723 Oct 2026, 12:33 UTC | @primenumbers2021/5062 · this entry23 Oct 2026, 21:06 UTC | 1.00 | 8.6 hours |
| @primenumbers2021/5127 · this entry8 Nov 2026, 10:42 UTC | @dumai_sam_i_sei4as/81439 Nov 2026, 14:03 UTC | 1.00 | 27 hours |
| @primenumbers2021/5127 · this entry8 Nov 2026, 10:42 UTC | @Agitblog/364888 Nov 2026, 15:58 UTC | 1.00 | 5.3 hours |
| @vestnikoriginals/933324 Oct 2026, 09:04 UTC | @primenumbers2021/5065 · this entry24 Oct 2026, 09:34 UTC | 1.00 | 31 minutes |
| @primenumbers2021/5121 · this entry7 Nov 2026, 09:54 UTC | @vestnikoriginals/93467 Nov 2026, 09:56 UTC | 1.00 | 2 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @dumai_sam_i_sei4as | 6 (6/6 hand-verifiable sample passed) | 1.00 | 14 hours | even |
| @ONCHETVERIKOVA | 15 (8/8 hand-verifiable sample passed) | 1.00 | 27 hours | this entry (15–0) |
| @Agitblog | 7 (7/7 hand-verifiable sample passed) | 1.00 | 5.3 hours | this entry (5–2) |
| @vestnikoriginals | 7 (7/7 hand-verifiable sample passed) | 1.00 | 15 hours | this entry (6–1) |
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 2 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 182 comparable posts for this entry, running 28 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.
Recorded under the keys clone_mutual · clone_source, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 11:06 | 68,623 | +31 |
| 9 Nov 2026, 18:58 | 68,592 | +23 |
| 8 Nov 2026, 09:08 | 68,569 | +18 |
| 7 Nov 2026, 04:00 | 68,551 | -9 |
| 5 Nov 2026, 03:45 | 68,560 | -2 |
| 4 Nov 2026, 02:17 | 68,562 | -10 |
| 2 Nov 2026, 23:19 | 68,572 | -2 |
| 1 Nov 2026, 22:26 | 68,574 | +9 |
| 31 Oct 2026, 23:19 | 68,565 | -8 |
| 31 Oct 2026, 02:39 | 68,573 | -11 |
| 30 Oct 2026, 02:18 | 68,584 | -43 |
| 29 Oct 2026, 01:19 | 68,627 | +10 |
| 27 Oct 2026, 21:06 | 68,617 | -25 |
| 26 Oct 2026, 23:27 | 68,642 | +21 |
| 25 Oct 2026, 22:46 | 68,621 | +5 |
| 24 Oct 2026, 22:27 | 68,616 | -17 |
| 22 Oct 2026, 23:27 | 68,633 | +6 |
| 21 Oct 2026, 21:55 | 68,627 | +30 |
| 20 Oct 2026, 18:30 | 68,597 | +26 |
| 19 Oct 2026, 14:27 | 68,571 | first reading |
225 posts held, back to 28 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 196 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 225 (28 July 2026 – 11 November 2026) |
| Views total | 1,185,400 |
| Reactions total | 37,601 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 20:51 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.
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Measured directly from 11 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.
142,542 reactions across 222 posts, in 30 distinct kinds. The most used accounts for 19.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 27,442 | 19.3% | |
| 🔥 | 21,008 | 14.7% | |
| custom 5273778458583900323 | 18,379 | 12.9% | |
| ❤ | 13,778 | 9.67% | |
| 🤬 | 11,756 | 8.25% | |
| 😁 | 9,374 | 6.58% | |
| 💯 | 9,057 | 6.35% | |
| custom 5456314495649461325 | 7,588 | 5.32% | |
| 🤡 | 6,152 | 4.32% | |
| 🤣 | 4,227 | 2.97% | |
| 😢 | 1,849 | 1.30% | |
| 😭 | 1,652 | 1.16% | |
| 💩 | 1,636 | 1.15% | |
| 🤔 | 1,202 | 0.843% | |
| 😡 | 998 | 0.7% | |
| 👎 | 994 | 0.697% | |
| 😱 | 886 | 0.622% | |
| 🤮 | 858 | 0.602% | |
| 😐 | 701 | 0.492% | |
| 🤨 | 498 | 0.349% | |
| 10 further kinds | 2,507 | 1.76% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 224 of the 225 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 144,185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 225 most recent posts we hold, published 28 July 2026 to 11 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @primenumbers2021. 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 225 most recent posts we hold for this entry, published 28 July 2026 to 11 November 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.
Telegram’s own ‘edited’ marker: 26 of 65 posts held from the last 30 days (40.0%) 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).
То в Сибири где-то, То где-то под Питером
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Жилищная гойда-математика Екатеринбург (для примера): Цена двухкомнатной квартиры: 11 млн руб. Медианная зарплата: 70 тыс. руб. Ипотечный кредит (в Сбере): - первоначальный взнос: 3 млн руб. (з/п. за 3,5 года) - ставка (льготная): 9% годовых, срок 30 лет - ежемесячный платёж: 64,4 тыс. руб. Семья: 2 взрослых + 2 детей На жизнь остаётся: 140 тыс. руб. - 64,4 тыс. руб. = 75,6 тыс. руб. Прожиточный минимум: 18,2*2 …
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Как планировать экономику в рабочем времени?// Диалог. Сафронов & Потапенков https://www.youtube.com/watch?v=XCpxjC-3t6o
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Трубы горят Устаревание системы ЖКХ в России — притча во языцех. Системы водоснабжения и канализации в стране изношены на 43%, а с линиями электропередач и газопроводами всё ещё хуже. Там каждый второй метр труб и проводов требует замены. И сети продолжают изнашиваться, что становится причиной регулярных коммунальных аварий. Зимой у нас прорывает магистрали отопления, а летом перегружаются электросети и забиваются …
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«Война — это рэкет» Книга 1935 года Смедли Батлера, отставного генерал-майора Корпуса морской пехоты США. Основана на профессиональном военном опыте Батлера, который командовал жандармерией во время оккупации Гаити Соединёнными Штатами Америки. Батлер критическим образом описывает американские коммерческие интересы и выгоду от ведения военных действий. Прочтение: Александр Арзин Монтаж: RedProlet Книга в цифровом …
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Скоро Олег Комолов отправится в Сибирь на встречи с подписчиками. Первая остановка — в г. Томске 12 ноября Тема лекции: «Экономический чекап: что валютный курс говорит о будущем России?». Почему час труда немца, гаитянца и жителя России получает столь разную денежную оценку? Как на неё влияют технологическое лидерство, военная сила и способность трудящихся отстаивать свои права? Курс национальной валюты может расс…
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= 49% богатств России сконцентрировали 1% россиян – это предпоследнее 172 место в мире В 1990 г. Советская Россия была 14 месте из 173 стран. За счет разрушения СССР и массового обнищания 1% богатых семей РФ подняли текущие доходы в 6 раз, а накопленное состояние – в 16 раз, до 239 млн руб. 💰 Совокупное «чистое» богатство 1% самых состоятельных россиян достигло 49% всех богатств российских домохозяйств, следует из …
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Бедным предложили копить. Оказалось, не с чего Банкиры просят отложить обязательный запуск социальных вкладов до 2028–2031 годов. По их оценке, внедрение обойдётся в 10–20 млн рублей на банк, а спрос на такие услуги минимален. С июля 2025-го по апрель 2026-го системно значимые банки получили всего около 15 тысяч заявлений на открытие таких продуктов. Что такое социальный вклад? Это специальный депозит для получател…
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С Днём Великой Октябрьской Социалистической Революции! Дефолты в России, бунтующая Европа и конец неолиберализма // Олег Комолов. Вопросы и ответы https://youtu.be/CQGcHyrHWuc 0:00 Приветствие 01:14 Спор с чиновником: ипотека, рабочие места и бизнес 07:38 Рынок недвижимости: инвесторы, простой квадратных метров и аренда 11:00 Демография: падение рождаемости и экономические причины 16:42 Бюджетный дефицит, госдолг и…
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В НОВОСИБИРСКЕ ЗАДЕРЖАНЫ НАШИ ТОВАРИЩИ СЕРГЕЙ КРУПЕНЬКО И ОЛЕГ МЕЦЛЕР. ОЛЕГ СООБЩИЛ О ПЫТКАХ Сегодня, 7 ноября, в Новосибирске были задержаны члены РКП(и) Сергей Крупенько и Олег Мецлер. У Сергея дома прошёл обыск, был изъят телефон. Обоих доставили в первый отдел по расследованию особо важных дел Следственного комитета в Новосибирске по адресу Трудовая, 1. Нам удалось оперативно связаться с адвокатом Ольгой Нечаев…
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Парадокс левого движения в России Левое движение в России находится в состоянии затяжной стагнации. Но причина этого — не в отсутствии общественной почвы. Напротив, симпатии есть, и довольно широкие. Проблема лежит внутри самого движения. В его неспособности превратить пассивное сочувствие в организованную силу. Опрос, проведённый среди сторонников левых взглядов, показывает характерную картину самовосприятия. Глав…
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📱 Лекция Рафаэля Абдулова в Брянске от 24 октября на тему "Природа современного экономического кризиса". Отдельная благодарность за организацию лекции: 🫡Брянскому марксистскому кружку 🫡 Центру Дробышевского в Брянске 🫡 Коллективу "Простых чисел" и, конечно, всем вам, кто пришёл на лекцию, посмотрел видео, подписался на нас и на соцсети наших вышеупомянутых друзей и сделал репосты. Без вас это событие не состоялось …
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Showing the 12 most recent of 225 posts we hold for @primenumbers2021. 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.
@primenumbers2021 edited 7 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 26 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 20 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.
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.
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Простые числа” (@primenumbers2021), 68,623 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/primenumbers2021.
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.