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 94% 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 8 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.
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 760 comparable posts for this entry, running 4 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).
Recorded under the key 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.
Growth
64 measurements spanning 97 days, net -2,398. 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 160,557–163,775 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
11 Nov 2026, 08:47
160,928
-70
9 Nov 2026, 15:59
160,998
-39
8 Nov 2026, 07:51
161,037
-16
7 Nov 2026, 04:27
161,053
-15
6 Nov 2026, 02:46
161,068
-28
5 Nov 2026, 03:28
161,096
-27
4 Nov 2026, 06:39
161,123
-35
3 Nov 2026, 06:49
161,158
-33
2 Nov 2026, 06:46
161,191
-29
1 Nov 2026, 03:30
161,220
-19
31 Oct 2026, 06:20
161,239
-31
30 Oct 2026, 05:58
161,270
-22
29 Oct 2026, 06:56
161,292
-9
28 Oct 2026, 07:39
161,301
-37
27 Oct 2026, 07:07
161,338
-42
26 Oct 2026, 05:27
161,380
-14
25 Oct 2026, 06:49
161,394
-27
24 Oct 2026, 09:46
161,421
-27
23 Oct 2026, 07:50
161,448
-30
22 Oct 2026, 09:06
161,478
first reading
Engagement
1,112 posts held, back to 4 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.17%
avg views ÷ 160,928 subscribers
Avg views / post
14,800
342 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
342
of 1,112 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 11 November 2026
Posts held
1,112 (4 August 2026 – 11 November 2026)
Views total
5,049,280
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 15:20 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
≈19,900
Videos
≈23,100
Links
≈2,520
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
7h 24m
Average length
31s
Measured directly from 874 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.
Advertising
Ad load
0.5%
5 of 1,000 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
14,400
over 5 measured posts
Median views · rest
14,300
over 995 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzquavEvx
1
26 September 2026
26 September 2026
2VtzqwfY3Rx
1
4 November 2026
4 November 2026
2VtzqwsAC5h
1
15 August 2026
15 August 2026
2W5zFJha1Wh
1
6 October 2026
6 October 2026
CQH36pWzJqE1dR7FuZ8VXKQnZsv3AXmjHd4tnmJikBC6yK
1
10 September 2026
10 September 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 14 August 2026 to 11 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: 5 of 342 posts held from the last 30 days (1.46%) 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).
r/ #technology
Дроны теперь ещё и дома: Amazon выпустила дрон для защиты дома от воришек — он сам патрулирует квартиру, периодически возвращаясь на зарядку
Ring Drone вылетает по расписанию или срабатывании сигнализации, пишет видео в 2K и оснащён прожектором для ночной съёмки.
r/ #funny
Японский депутат ходит на заседания в маске — 52-летний Билли Кен Кид добился официального разрешения посещать заседания городского совета Каванаси в своей фирменной маске
Такой образ выбран не случайно, депутат является профессиональным рестлером. Власти долго спорили с ним, но в итоге сдались. Сам политик заявил, что маска придаёт ему уверенности.
r/ #technology
Boston Dynamics всё никак не перестанут развлекаться: компания прикрутила к роботу Atlas колёса
Сделано все было в рамках эксперимента — посмотреть на возможности робота на грани технических возможностей.
В итоге железяка даже смогла исполнить с разворотом на 360 градусов.
r/ #aww
В Японии придумали худи для геймеров, которые не хотят расставаться со своими котиками
Главная особенность Meowgaroo Hoodie 3 — большой карман на животе, напоминающий сумку кенгуру. В нём кот может уютно устроиться, согреться и даже поспать, пока хозяин продолжает играть.
Но разработчики пошли ещё дальше:
• Встроенная лежанка. Вместительный карман регулируется шнурком, чтобы котику было комфортнее.
• Коша…
r/ #BeAmazed
Гениальный ум: парень из США показал на Reddit, как вынес систему охлаждение ПК на улицу
По его словам, ему не нравилось, что тепло от компьютера повышает температуру в комнате. Парень потратил два месяца на разработку системы жидкостного охлаждения, в которой радиатор вынесен за пределы дома.
В итоге видеокарта RTX 4070 Ti Super нагревается всего до 37 градусов, а процессор Intel Core Ultra 7 270K Plu…
r/ #aww
Легенда среди обезьянок: обезьянка Панч, которая прославилась благодаря плюшевому орангутану, выросла и теперь сама заботится о младшей сестричке
Ранее малыш остался без мамы, а другие обезьяны его обижали.
Панч повсюду носил с собой оранжевую игрушку, которая стала для него своеобразной заменой материнской заботы.
r/ #unexpected
В Германии за один евро продают целый 800-летний замок — в качестве нюанса новому владельцу предстоит его отреставрировать
В здании есть жилые помещения, рыцарский зал и две башни, а рядом разбит парк. По мнению властей, в нем можно открыть тематический отель, школу-интернат или дом престарелых.
Все работы придется согласовывать, а возможные затраты на ремонт оценивают в €20 млн!
Showing the 12 most recent of 1,112 posts we hold for @Reddit. 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
@Reddit edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
27 September 2026
Most recent edit
27 September 2026
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 35 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 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.
Очевидные вещи @ochewid · 54,652 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 23 August 2026
Yaplakal.com @yaplakal · 419,820 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 10 August 2026
4chan @ru4chan · 181,861 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 12 August 2026
r/ретранслятор @retra · 165,780 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 12 August 2026
Nation Geographic @NationGeographic · 322,427 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 10 August 2026
ЖЮ 🧡 Videos @lifeyt · 326,954 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 10 August 2026
ЖЮ 🖤 Crazy @videosju · 46,006 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 27 August 2026
Dankest Memes // Данкест Мемс @thedankestmemes · 46,177 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 27 August 2026
TechNews @techlucker · 42,607 Telegram ranks this channel #4 of 79 here — alongside 78 others — read 28 August 2026
Промпт - Наука и Техника @Scienceg · 93,281 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 16 August 2026
Философ душевой кабинки @feelings_shower · 52,910 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 24 August 2026
Фильмы которые стоит посмотреть @kino_smotritel · 102,388 Telegram ranks this channel #5 of 70 here — alongside 69 others — read 24 August 2026
Погнали! | Стас Натанзон @pognaliofficial · 141,139 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 13 August 2026
Наука и факты @FactTG · 204,234 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 11 August 2026
Лепра @Lepragram · 340,793 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 10 August 2026
Programmer memes @programmer_memes · 50,542 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 24 August 2026
Лекториум @lektorium20 · 114,343 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 14 August 2026
National Geographic @Nationall_Geoographic · 49,703 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 25 August 2026
Познавариум @poznavarium_ru · 61,211 Telegram ranks this channel #8 of 80 here — alongside 79 others — read 21 August 2026
Live Nature @priroda_animal · 111,441 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 14 August 2026
Animal Planet @animal_planeta · 117,793 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 14 August 2026
Это интересно! @very_interesno · 171,628 Telegram ranks this channel #9 of 85 here — alongside 84 others — read 12 August 2026
MDK @mudak · 524,131 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 9 August 2026
ЯТХ @ytx_sex_public · 56,653 Telegram ranks this channel #10 of 68 here — alongside 67 others — read 25 August 2026
This channel appears in 191 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.
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.
“Reddit” (@Reddit), 160,928 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Reddit.
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.