Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 46% 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.
Growth
37 measurements spanning 60 days, net -3,102. 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 80,441–84,473 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
5 Oct 2026, 00:35
80,906
-311
27 Sept 2026, 21:38
81,217
-478
17 Sept 2026, 19:20
81,695
-107
15 Sept 2026, 16:18
81,802
-98
14 Sept 2026, 00:21
81,900
-85
12 Sept 2026, 08:41
81,985
-95
10 Sept 2026, 04:42
82,080
-160
6 Sept 2026, 20:39
82,240
-151
4 Sept 2026, 09:57
82,391
-71
2 Sept 2026, 20:33
82,462
-51
1 Sept 2026, 21:58
82,513
-61
31 Aug 2026, 20:36
82,574
-59
30 Aug 2026, 23:26
82,633
-43
30 Aug 2026, 01:45
82,676
-41
28 Aug 2026, 22:57
82,717
-45
27 Aug 2026, 20:24
82,762
-38
26 Aug 2026, 21:25
82,800
-67
25 Aug 2026, 23:02
82,867
-55
24 Aug 2026, 22:38
82,922
-81
23 Aug 2026, 09:09
83,003
first reading
Engagement
361 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 125 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.14%
avg views ÷ 80,906 subscribers
Avg views / post
4,160
174 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
174
of 361 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 6 October 2026
Posts held
361 (5 August 2026 – 6 October 2026)
Views total
723,250
Reactions total
16,534
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 14:19 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
≈3,720
Videos
≈2,110
Links
≈4,310
Lifetime counters from Telegram’s own channel header, read 6 October 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
1h 17m
Average length
36s
Measured directly from 130 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
37,128 reactions across 355 posts, in 12 distinct kinds. The most used accounts for 22.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,406
22.6%
custom 5197549497818842173
6,420
17.3%
custom 5194994237090859152
4,971
13.4%
custom 5332699225132135466
4,118
11.1%
custom 5195395086388597620
2,895
7.80%
custom 5197492267379623028
2,767
7.45%
custom 5197182102021375064
1,858
5.00%
custom 5195030855982026107
1,605
4.32%
custom 5194932492641010432
1,520
4.09%
💯
1,359
3.66%
custom 5197506015569941148
961
2.59%
custom 5197623362666401941
248
0.668%
Custom emoji. 10 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 361 of the 361 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 37,641 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 361 most recent posts we hold, published 5 August 2026 to 6 October 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
6
across the posts below
Posts paid on
5
of 361 we hold a reading for · 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kollegi_joke. 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 361 most recent posts we hold for this entry, published 5 August 2026 to 6 October 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
0.277%
1 of 361 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
4,320
over 1 measured post
Median views · rest
4,420
over 360 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
2Vtzqunn87v
1
23 September 2026
23 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 361 most recent posts we hold, published 5 August 2026 to 6 October 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.
Два пива и щенок — интересную теорию о типах дружбы обсуждают в сети. Согласно теории, всех наших друзей можно разделить на две категории. Первая — это те, с кем можно выпить пива, посмеяться и просто весело провести вечер. Вторая категория — это «щенки», то есть люди, которым можно доверять, рядом с которыми чувствуешь себя в безопасности и знаешь, что они не подведут в сложной ситуации.
Идеально, когда эти качеств…
Тяжёлая жизнь беларусов: на выбор глазированного сырка приходится выделять минимум 15 минут, потому что их много и все очень вкусные.
Сочувствуем, но не от всего сердца 🤩
Коллеги, подписываемся
Во Франции пошел парад ТАКС — в марше приняли участие сотни владельцев милых сосисок, которых одевали в разные наряды. Там и свитера, и ковбойские шляпы, и платья фей, бантики, мексиканские прикиды, галстуки, костюмы пчел и даже смокинги.
Милое мероприятие прошло прямо в центре Парижа, для животных даже сделали красную дорожку. Называлось это «Sausage Walk». Организаторы ходили в костюмах хот-догов, с которыми часто…
Осенние фильмы на вечер — тут нет заумных грустных картин, только то, что можно посмотреть вместе с друзьями, партнером или семьей, не боясь, что кто-то что-то не поймёт.
Запоминайте:
1. «Труп невесты», 2025
2. «Маленькие женщины», 2019
3. «Когда Гарри встретил Салли», 1989
4. «Ведьмы ист-энда», 2013-2014
5. «Хороший год», 2006
6. «Осень в Нью-Йорке», 2000
7. «Общество мертвых поэтов», 1989
8. «Простые сложности», 2…
Психолог назвала топ-5 фраз, которые реально помогают её клиентам справляться с тяжелыми ситуацими в жизни. Без банального «дыши глубже» и «всё будет хорошо». Запоминаем:
• «Не можешь ср*ть — не мучай жопу». Разрешение не выжимать из себя результат через силу. Иногда полезнее отстать от себя, чем стараться ещё сильнее.
• «Раньше выстрела не падаем». Напоминание, что мы не проживаем то, что ещё не случилось. Будет пр…
В Маниле прошла служба в честь святого Франциска Ассизского — покровителя животных. Люди принесли своих питомцев в церковь, чтобы их благословили и окропили святой водой.
Милота 🤩
Коллеги, подписываемся
Ведьмы раскрыли в сети шепоток на... хороший стул. Читать его следует каждый вечер перед сном:
Как вода течет рекой,
так и стул идёт легко.
Пусть живот не беспокоит,
Тугосеря пусть откроет!
Да будет так!
Сохраняем 🤩
Коллеги, подписываемся
В России появился сервис, позволяющий кормить приютских котюнчиков, прямо как в Китае. Механика простая: платишь и смотришь как животное в прямом эфире уплетает камушки. При чем сам сервис не зарабатывает с донатов – деньги идут в приюты.
Для тех, кто переживает за животы котиков: еда у них есть всегда и в открытом доступе, а сотрудники приюта следят, чтобы хвостики не переедали.
Отменяйте прием у психолога, сегодн…
Давно мы не учили новые слова: у зумеров появились фразочки, которые не поймешь даже если загуглить. И если "Ларп" мы уже знаем, то остальное вызывает вопросы. К счастью, в рилсах уже все объяснили, запоминаем:
1. «Сова со скакалкой». Это мемная картинка из приложения для изучения английского Duolingo. Её используют как универсальный ответ на всё: когда нечего сказать, когда хотят отшутиться или просто напомнить, чт…
Showing the 12 most recent of 361 posts we hold for @kollegi_joke. 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
@kollegi_joke edited 9 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
10 August 2026
Most recent edit
2 October 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 9 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.
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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“Коллеги, шутки кончились” (@kollegi_joke), 80,906 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/kollegi_joke.
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.
