Memes & entertainment — 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 37% 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 12 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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. 99 of the 100 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 1,420 comparable posts for this entry, running 5 August 2026 to 11 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 2 channels, the one whose matching posts we hold earliest is @gulagru — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 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 2 registered channels linked by matching posts. 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.
66 measurements spanning 98 days, net +2,825. 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 150,008–164,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
12 Nov 2026, 20:09
160,326
-340
10 Nov 2026, 12:56
160,666
-190
9 Nov 2026, 02:54
160,856
-195
7 Nov 2026, 16:06
161,051
-181
6 Nov 2026, 12:05
161,232
-205
5 Nov 2026, 10:46
161,437
-150
4 Nov 2026, 13:01
161,587
-223
3 Nov 2026, 10:09
161,810
-221
2 Nov 2026, 07:54
162,031
-231
1 Nov 2026, 08:36
162,262
-201
31 Oct 2026, 11:34
162,463
-357
30 Oct 2026, 10:58
162,820
+9,974
29 Oct 2026, 10:37
152,846
+1,167
28 Oct 2026, 11:35
151,679
-88
27 Oct 2026, 08:16
151,767
-60
26 Oct 2026, 09:27
151,827
-74
25 Oct 2026, 09:41
151,901
-90
24 Oct 2026, 06:41
151,991
-54
23 Oct 2026, 09:28
152,045
-79
22 Oct 2026, 08:55
152,124
first reading
Engagement
1,833 posts held, back to 5 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 201 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.4%
avg views ÷ 160,326 subscribers
Avg views / post
26,300
509 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
509
of 1,833 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 4 of 509 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 12 November 2026
Posts held
1,833 (5 August 2026 – 12 November 2026)
Views total
13,407,700
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 15:35 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
3h 08m
Average length
41s
Measured directly from 274 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.
Telegram Stars
Stars received
34
across the posts below
Posts paid on
8
of 1,000 we hold a reading for · 0.8%
Most on one post
13
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gulagru. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 18 September 2026 to 12 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.
Advertising
Ad load
0.1%
1 of 1,000 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
24,900
over 1 measured post
Median views · rest
26,700
over 999 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFJhYLQh
1
8 October 2026
8 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 September 2026 to 12 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 92 of 509 posts held from the last 30 days (18.1%) 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).
Генеральный директор Nvidia Дженсен Хуанг объявил об отставке после скандала аж с двумя изменами
Одна из них была с бизнесвумен, которая оказалась китайской шпионкой, другая — с сотрудницей NVIDIA.
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Айтишника отправили в тюрьму на 9 лет за перевод 700 рублей психически больному знакомому на билет до дома
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В России хотят запретить Snickers, Mars, Twix и Bounty, чтобы их не было в новогодних подарках
По мнению Z-общественников, детям нужно прививать любовь к российскому шоколаду:
«Детям нужно прививать любовь к российскому шоколаду, который является частью отечественной культуры, а не популяризировать западные бренды»
В России завелись слайдеры — нефоры, которые скользят по дороге на коленях, одеваются как готы и терпеть не могут нормисов
Добро пожаловать на сервер шизофрения
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К врачам парень обратился только, когда его скрутила адская боль. Но к тому времени из-за нарушения кровообращения уже начался некроз тк…
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«Разговоры о важном» закончились тем, что физрук поставил девятиклассника на колени и врезал ему по спине
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Showing the 12 most recent of 1,833 posts we hold for @gulagru. 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
@gulagru edited 8 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
10 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @gulagru as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 August 2026
Most recent seen missing
30 August 2026
Median time before seen missing
19 hours
Seen missing in the last 30 days
0
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 11 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.
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.
ВИЛСАКОМ РЕД / WYLSACOM RED @wylsared · 1,088,291#93
Read from Telegram’s recommendation API, most recently 12 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.
FTP @ru_FTP · 86,138 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 17 August 2026
ШАРФ🧣 @SHARFVA · 19,930 Telegram ranks this channel #4 of 77 here — alongside 76 others — read 29 September 2026
СТОП ВОЙНА / STOP WAR @stop_voina · 105,301 Telegram ranks this channel #7 of 65 here — alongside 64 others — read 15 August 2026
Крем @PolitKrem · 81,624 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 18 August 2026
Ateo @AteoGo · 159,693 Telegram ranks this channel #9 of 95 here — alongside 94 others — read 12 August 2026
Блумберг @bloomeconomy · 361,505 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 10 August 2026
Соловьиный Помёт @slvn_pomet · 282,710 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 10 August 2026
новости СВЕРХДЕРЖАВЫ @superpowerru · 26,396 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 29 September 2026
На волне с Mr.Ateo @ozero · 26,660 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 17 September 2026
ТрусЫ Навального @vesti_iz_durdoma · 25,987 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 12 September 2026
Прямой эфир @mpartisans_news · 31,874 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 16 September 2026
Riddle @riddle_tg · 49,466 Telegram ranks this channel #13 of 96 here — alongside 95 others — read 25 August 2026
Ёшкин Крот @eshkinkrot · 219,339 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 11 August 2026
GeneralSVR(reserv) @generalsvr2 · 62,820 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 21 August 2026
LIBERTY PEOPLE @libertypeople · 96,931 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 16 August 2026
Реальная журналистика @realjournal · 19,776 Telegram ranks this channel #15 of 91 here — alongside 90 others — read 30 September 2026
Война близко @warblizko · 29,800 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 7 September 2026
Агрегатор Правды @agregatortruth · 66,307 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 26 August 2026
Экономика и не только @banks_economy · 1,022,532 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 14 August 2026
Город Глуповъ @gorodglupov · 153,299 Telegram ranks this channel #16 of 96 here — alongside 95 others — read 12 August 2026
Усы Пескова @Sandymustache · 210,560 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 11 August 2026
Ватное болото @vatnoeboloto · 378,055 Telegram ranks this channel #17 of 95 here — alongside 94 others — read 10 August 2026
Генерал СВР @generalsvr · 276,269 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 10 August 2026
Пацифист @pacifist_rus · 27,562 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 10 September 2026
This channel appears in 81 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.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Gulag” (@gulagru), 160,326 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/gulagru.
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.
