Music — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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 (1 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 21 comparable posts for this entry, running 3 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 2, the earliest publisher we hold is @chtvino. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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 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.
10 measurements spanning 7 days, net -97. 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 319,410–319,652 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 02:49
319,438
-40
12 Aug 2026, 04:17
319,478
-27
11 Aug 2026, 02:33
319,505
-22
10 Aug 2026, 01:11
319,527
-3
9 Aug 2026, 02:01
319,530
-55
8 Aug 2026, 01:13
319,585
-39
7 Aug 2026, 04:06
319,624
+107
6 Aug 2026, 07:40
319,517
-18
6 Aug 2026, 00:54
319,535
no change
5 Aug 2026, 22:10
319,535
first reading
Engagement
55 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.4%
avg views ÷ 319,438 subscribers
Avg views / post
33,300
55 posts measured
Reaction rate
1.88%
reactions ÷ views · ER floor
Posts in window
55
of 55 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 12 August 2026
Posts held
55 (3 August 2026 – 12 August 2026)
Views total
1,832,600
Reactions total
34,394
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 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
Video runtime
4m 16s
Average length
32s
Measured directly from 8 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
32,523 reactions across 50 posts, in 52 distinct kinds. The most used accounts for 24.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
7,877
24.2%
👏
7,390
22.7%
❤🔥
5,468
16.8%
🥰
2,686
8.26%
🤣
2,586
7.95%
💯
2,158
6.64%
🍾
587
1.80%
🤔
525
1.61%
👀
419
1.29%
🤡
393
1.21%
💘
291
0.895%
🤯
249
0.766%
👌
247
0.759%
✍
237
0.729%
🎉
174
0.535%
👨💻
136
0.418%
⚡
95
0.292%
🤩
87
0.268%
💋
81
0.249%
🤬
79
0.243%
32 further kinds
758
2.33%
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 55 of the 55 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 34,394reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 3 August 2026 to 12 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.
Telegram Stars
Stars received
78
across the posts below
Posts paid on
25
of 55 we hold a reading for · 45%
Most on one post
19
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @minaevlife. 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 55 most recent posts we hold for this entry, published 3 August 2026 to 12 August 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.
Ш. ШТОПОР
Инструмент для извлечения пробки из бутылки. (Знали?)
А вот мир не знал такого инструмента до XVII века, потому как вино разливали из бочек. Когда же его начали бутилировать, то оказалось, что пробку чертовски трудно достать. Стали думать, и пока думали, пробки выскребали ножами.
Первыми о спирали с ручкой догадались аптекари, и штопором поначалу открывали флаконы с духами и лекарствами.
Сегодня мы знаем…
На ЧТИВО ФЕСТЕ, который прогремит совсем скоро, 29 августа, развернется сцена «Вдохновение» при поддержке ОТП Банка. Там выступят наши и, уверены, ваши любимые музыканты.
Чтобы скрасить томительное ожидание, мы вместе с ОТП Банком пригласили четырех артистов на крышу отеля «Novotel Adagio Ibis Москва Киевская» и сняли лайв-версии из знаковых песен. Вот, например, модные инди-рокеры — группа «Диктофон» — поют «Любопы…
Ограбление по-бургундски
15 лет кряду с бургундских виноделен пропадало вино. Понемногу, аккуратно, без следов взлома. Владельцы списывали потери на недостачу и ошибки учета — пока в 2024 году полиция не вышла на след.
Вором оказался 57-летний техник Франсуа Б. — человек, который годами имел доступ к винным погребам ведущих домов Бургундии по долгу службы.
За полтора десятилетия он вынес 8000 бутылок, которые следс…
Вышел уже третий выпуск «Книжного клуба „Малева“». Наш гость — Сергей Минаев!
Главной книгой этого выпуска стала «Ярмарка тщеславия» Уильяма Теккерея. Роман, написанный почти 200 лет назад, оказался отличным поводом поговорить о том, что актуально сегодня: амбициях и тщеславии, роли женщины в обществе, успехе и цене, которую за него приходится платить.
От Теккерея мы пришли к Москве нулевых и «Духless», к культуре …
Как избежать изжоги после винной вечеринки?
На сей счет у профессионалов есть термин «щелочнуться» — за ним прячется странная с точки зрения обывателя, но достаточно распространенная среди уверенных винолюбов традиция: после дегустации внушительного количества вина, особенно кислотного или игристого, принято завершить вечер бокалом пива (0,3 достаточно).
Идея смешивать разный алкоголь в один вечер, казалось бы, не …
В Лас-Вегасе вчера начался судебный процесс по делу об убийстве Тупака Шакура, которое произошло в 1996 году. Обвиняемый — 63-летний Дуэйн Дэвис, известный в криминальных кругах как Киф Ди. В основу обвинения легли его собственные мемуары «Легенда улиц Комптона», вышедшие в 2019 году.
У нас был очень крутой выпуск про жизнь и убийство Тупака Шакура. Посмотрите, если не видели
Яд в вине — визитная карточка эпохи Возрождения. При дворах все травили друг друга почем зря.
Главные легенды связаны с семьей Борджиа. Папа Александр VI и его сын Чезаре обвинялись в использовании целого арсенала ядов — мышьяка, стрихнина, кантаридина, аконита: вкус вина легко маскировал горечь яда, а вскрытий тогда не делали. Идеальная отрава для времен без токсикологии.
Схема у Борджиа была циничной до предела: …
Как появился императорский автопром?
Первое время автомобили в Российской империи, как и во всем мире, оставались уделом богатых энтузиастов. Стоили они дорого, примерно как средних размеров дача, а ездить на них было сложно.
Особенно в России с ее огромными расстояниями и легендарно плохими дорогами. Кстати, плохие они были по достаточно парадоксальной причине. Всю вторую половину XIX века в стране активно развива…
1 августа исполнилось 15 лет, как я пришёл в медиа. По этому поводу телепродюсер Юлия Свиридова позвала меня к себе в подкаст, где мы поговорили о продюсировании, проектах, дисциплине, глянце, кумирах, фильмах, музыке — да вообще обо всём потрещали. Видеоподкаст по ссылке:
https://youtu.be/gDNXycJcVi4?si=PAia5ZiOaDab-ibv
Друзья!
Рады представить третьего героя «Историй» на ЧТИВО ФЕСТЕ.
На главной сцене Сергей Минаев пообщается с Николаем Картозией.
Генеральный продюсер телеканала «Пятница!» — человек многих талантов: стабильно запускает в стратосферу звезд экрана и соцсетей, придумывает образцовые реалити-шоу, а с недавнего времени — обучает поклонников тем же хитростям в собственной школе.
Зачем это нужно уважаемому медиаменедже…
Showing the 12 most recent of 55 posts we hold for @minaevlife. 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.
Citation-graph rank
Citation-graph rank — 724 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 64 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 10 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.
Лука Ебков @luka_ebkov · 429,384 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 10 August 2026
Это Файб @etofaib · 203,324 Telegram ranks this channel #5 of 93 here — alongside 92 others — read 11 August 2026
СОБЧАК @ksbchk · 373,766 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 10 August 2026
ЮЛИЯ МЕНЬШОВА @JuliaMenshovaJulia · 361,530 Telegram ranks this channel #19 of 91 here — alongside 90 others — read 10 August 2026
Только никому... @spletni_tg · 188,787 Telegram ranks this channel #24 of 90 here — alongside 89 others — read 11 August 2026
Антиглянец @sncmag · 301,837 Telegram ranks this channel #24 of 94 here — alongside 93 others — read 10 August 2026
Алексей Пивоваров @Alexey_Pivo_varov · 307,573 Telegram ranks this channel #24 of 94 here — alongside 93 others — read 10 August 2026
Стрелец-Молодец @strelets_molodec · 360,016 Telegram ranks this channel #25 of 86 here — alongside 85 others — read 10 August 2026
Метод Лабковского @labkovskiy · 190,548 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 12 August 2026
Тут картины показываем @artgallery · 196,566 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 11 August 2026
Ирена Понарошку @irena_ponaroshku · 284,694 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 10 August 2026
Кристина Потупчик @krispotupchik · 151,371 Telegram ranks this channel #31 of 94 here — alongside 93 others — read 12 August 2026
Роскошь бутиков @zhidkovskiy_beauty · 151,513 Telegram ranks this channel #31 of 81 here — alongside 80 others — read 12 August 2026
ARTерия | Искусство @kartiny_arteriart · 163,610 Telegram ranks this channel #32 of 85 here — alongside 84 others — read 12 August 2026
Dzari @DrDzari · 269,822 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 10 August 2026
Гарик Харламов @garbul · 168,426 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 12 August 2026
Mash Room @mashkomnata · 171,701 Telegram ranks this channel #37 of 91 here — alongside 90 others — read 12 August 2026
Доктор Садовская @doctor_sadovskaya · 159,003 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 12 August 2026
Книжное братство @flibusta · 164,118 Telegram ranks this channel #39 of 94 here — alongside 93 others — read 12 August 2026
СысоевFM @sysoevfm · 373,422 Telegram ranks this channel #39 of 95 here — alongside 94 others — read 10 August 2026
Артемий Лебедев @temalebedev · 972,194 Telegram ranks this channel #40 of 89 here — alongside 88 others — read 8 August 2026
Forbes Russia @forbesrussia · 235,056 Telegram ranks this channel #44 of 95 here — alongside 94 others — read 11 August 2026
Кровавая барыня @bloodysx · 1,151,837 Telegram ranks this channel #44 of 92 here — alongside 91 others — read 8 August 2026
Алёна, Блин! @neopra_blin · 156,375 Telegram ranks this channel #47 of 90 here — alongside 89 others — read 12 August 2026
This channel appears in 122 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
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.
Минаев, Сергей Сергеевич(ru.wikipedia.org) “…упоминаний в соцмедиа (по данным «Медиалогии{{Cite web|url=https://t.me/minaevlife/16509|title=Сериал «Золотое Дно» стал вторым в 2024-м по количеству…” read 9 August 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Сергей Минаев” (@minaevlife), 319,438 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/minaevlife.
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.