International news — 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 80% 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 4 other registered channels. This entry also sits inside a group of 12 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
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 222 comparable posts for this entry, running 6 August 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).
Of the group of 12 channels, the one whose matching posts we hold earliest is @pelevinpust. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
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.
Channels linked by matching posts
This channel is in a group of 12 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
63 measurements spanning 95 days, net -1,472. 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 13,408–15,322 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:38
13,629
-7
9 Nov 2026, 07:07
13,636
-26
7 Nov 2026, 20:38
13,662
-9
6 Nov 2026, 17:49
13,671
-5
5 Nov 2026, 19:09
13,676
-23
4 Nov 2026, 18:06
13,699
-13
3 Nov 2026, 20:07
13,712
-16
2 Nov 2026, 22:48
13,728
-11
1 Nov 2026, 21:39
13,739
-5
1 Nov 2026, 00:10
13,744
-17
31 Oct 2026, 02:37
13,761
-17
30 Oct 2026, 00:28
13,778
-18
28 Oct 2026, 23:37
13,796
-21
27 Oct 2026, 20:36
13,817
-13
26 Oct 2026, 20:06
13,830
-17
25 Oct 2026, 18:10
13,847
-25
24 Oct 2026, 18:55
13,872
-7
23 Oct 2026, 19:46
13,879
-10
22 Oct 2026, 22:57
13,889
-24
21 Oct 2026, 17:15
13,913
first reading
Engagement
265 posts held, back to 6 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.69%
avg views ÷ 13,629 subscribers
Avg views / post
1,050
84 posts measured
Reaction rate
2.28%
reactions ÷ views · ER floor
Posts in window
84
of 265 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 83 of 84 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
265 (6 August 2026 – 10 November 2026)
Views total
88,045
Reactions total
1,982
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:49 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈1,080
Videos
≈284
Links
≈1,220
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.
Video runtime
47m 44s
Average length
47s
Measured directly from 61 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
8,532 reactions across 263 posts, in 50 distinct kinds. The most used accounts for 19.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤡
1,639
19.2%
😁
1,116
13.1%
🤮
1,067
12.5%
🤬
989
11.6%
🤣
898
10.5%
👍
665
7.79%
❤
329
3.86%
💩
326
3.82%
🔥
276
3.23%
👏
198
2.32%
🖕
179
2.10%
💊
170
1.99%
👎
166
1.95%
😢
73
0.856%
🤔
62
0.727%
😱
53
0.621%
💯
47
0.551%
🤯
43
0.504%
🍌
37
0.434%
🤪
25
0.293%
30 further kinds
174
2.04%
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 263 of the 265 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 8,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 265 most recent posts we hold, published 6 August 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
2
of 265 we hold a reading for · 0.8%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @internet_lifehack. 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 265 most recent posts we hold for this entry, published 6 August 2026 to 10 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 84 posts held from the last 30 days (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).
🌐 Beget временно перестал регистрировать новые домены .ru .su и .РФ после кибератаки
Хостинг-провайдер Beget приостановил регистрацию новых доменов после серьёзного инцидента с инфраструктурой. Компания сосредоточилась на восстановлении сервисов и устранении последствий атаки.
Для пользователей это означает дополнительные ограничения: создать новый сайт через привычного провайдера пока не получится.
➡️Похоже, тепе…
❤️ «Яндекс» не смог восстановить почти 3% данных клиентов после атак на дата-центры
Инженерам компании удалось вернуть доступ более чем к 97% информации в Yandex Cloud. Оставшиеся 2,8% данных оказались безвозвратно потеряны из-за критических повреждений оборудования. У клиентов, которые заранее использовали резервное копирование, удалось восстановить все данные.
Удивительно, но после произошедшего «Яндекс» решил в…
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Magnum.…
Штрафы за произведения вне «традиционных ценностей» могут доходить до 700 000 рублей
В Госдуме поддержали введение штрафов за распространение таких материалов:
— граждане — от 5 000 до 10 000 рублей, при повторном нарушении — до 150 000;
— должностные лица — от 50 000 до 100 000 рублей, повторно — до 400 000;
— организации — от 500 000 до 700 000 рублей, повторно — до 3 миллионов рублей.
КОЛОКОЛ XXI
🖥Минцифры допустило временное управление дата-центрами за отказ резервировать мощности
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Если свободных мощностей не окажется, компаниям придётся отключать действующих клиентов, чтобы …
📉Российский бизнес начал вывозить серверы за границу — отечественным дата-центрам не хватает свободных мощностей
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Речь пока не о полном переносе инфраструктуры, а о создании резервных …
Небензя допустил прямой конфликт с Европой
Постпред РФ при ООН заявил, что Москва не стремится к вооружённому противостоянию с европейскими странами. Однако в случае агрессии со стороны государств Европы последствия для них будут развиваться стремительно.
КОЛОКОЛ XXI
💬 Telegram заблокировал 707 тысяч каналов и групп всего за девять дней ноября
За 7 и 8 ноября модерация мессенджера ограничила доступ ещё к 166 тысячам сообществ. Всего с начала месяца число заблокированных групп и каналов достигло 707 тысяч. Из них 2,9 тысячи были связаны с терроризмом.
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Такси в отдельных случаях дорожало …
На два дня — к самым опасным преступникам страны
Россиянам предлагают тур в колонию «Чёрный дельфин». В двухдневную программу входят трансфер, проживание, питание, баня с купелью и катание на снегоходах. Стоимость такого незабываемого отдыха — от 5500 рублей.
Карикатуры
📶В России одновременно жалуются на сбои Steam, GitHub и домашнего интернета
9 ноября пользователи сообщают о проблемах с доступом к зарубежным платформам и российским провайдерам. По данным DownDetector, перебои фиксируются в Санкт-Петербурге, Ленинградской, Самарской и Новосибирской областях, а также Краснодарском крае.
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🤬9❤1
Showing the 12 most recent of 265 posts we hold for @internet_lifehack. 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.
Forward network
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.
Mentions
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Повестка дня” (@internet_lifehack), 13,629 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/internet_lifehack.
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.