В наших чертях омуты водятся.
По вопросам рекламы: @HannaDemyanchik13
@nakadm
@batonadmin
@MacFrolov
@Spiral_Miya
Пригласить друга: @stlbnkoff
Обратная связь: @dmastoff
Мы на бирже: https://telega.in/c/stlbnkoff
Created
17 February 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 21 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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
30 measurements spanning 43 days, net -897. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:21
76,816
-63
15 Sept 2026, 16:58
76,879
-43
14 Sept 2026, 03:40
76,922
-30
12 Sept 2026, 09:37
76,952
-39
10 Sept 2026, 05:17
76,991
+76,849
1 Sept 2026, 01:35
142
-76,952
31 Aug 2026, 04:14
77,094
-14
30 Aug 2026, 03:05
77,108
-29
29 Aug 2026, 00:04
77,137
-21
28 Aug 2026, 02:16
77,158
-25
27 Aug 2026, 02:36
77,183
-38
26 Aug 2026, 04:15
77,221
-19
25 Aug 2026, 05:34
77,240
-27
24 Aug 2026, 04:47
77,267
-37
22 Aug 2026, 11:34
77,304
-41
21 Aug 2026, 00:37
77,345
-28
19 Aug 2026, 22:38
77,373
-30
18 Aug 2026, 19:05
77,403
-27
17 Aug 2026, 17:25
77,430
-19
16 Aug 2026, 15:33
77,449
first reading
Engagement
500 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.99%
avg views ÷ 76,816 subscribers
Avg views / post
5,370
252 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
252
of 500 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 251 of 252 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 21 September 2026
Posts held
500 (4 August 2026 – 21 September 2026)
Views total
1,352,802
Reactions total
20,520
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 12:15 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
≈24,800
Videos
≈18,800
Links
≈1,570
Lifetime counters from Telegram’s own channel header, read 21 September 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
2h 32m
Average length
29s
Measured directly from 311 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
41,038 reactions across 482 posts, in 67 distinct kinds. The most used accounts for 40.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
16,802
40.9%
🤣
4,582
11.2%
❤
3,213
7.83%
💩
2,915
7.10%
🤡
1,839
4.48%
🔥
1,608
3.92%
🥰
1,447
3.53%
🤮
1,365
3.33%
👍
925
2.25%
😢
633
1.54%
💯
612
1.49%
😱
536
1.31%
💊
433
1.06%
😭
349
0.85%
👏
338
0.824%
👎
281
0.685%
🤯
245
0.597%
🫡
225
0.548%
🖕
206
0.502%
😨
202
0.492%
47 further kinds
2,282
5.56%
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 499 of the 500 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 42,410 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 500 most recent posts we hold, published 4 August 2026 to 21 September 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.
Advertising
Ad load
0.4%
2 of 500 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
4,560
over 2 measured posts
Median views · rest
5,800
over 498 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
2W5zFFwLahw
1
11 August 2026
11 August 2026
2W5zFJDEU8y
1
26 August 2026
26 August 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 500 most recent posts we hold, published 4 August 2026 to 21 September 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.
Mr. Freeman поставил 3.000.000 рублей на свой железный матч!
Он убеждён, что достаточно делать одну ставку в день, чтобы быть в стабильном плюсе! На данный момент его статистика по железным матчам 1496+ 26-🤯
Статистика последних ставок: 2,17✅ 1,92✅ 2,15✅ 2,02✅ 2,27✅ 2,02✅ 2,08✅ 2,31✅
🔎КАНАЛ ПРОШЁЛ НЕЗАВИСИМУЮ ПРОВЕРКУ!🤝
Уже завтра он будет отдавать этот матч за 100.000₽❗️Специально договорились, чтобы каждый смог…
🙈Я смогла заработать более полумиллиона всего за пару недель
Мне попался проект Наталии где-то в телеграме, как обычно думала что это разводняк. Решила ей написать, пообщавшись решила рискнуть. Следующим утром, благодаря проекту Наталии, я смогла заработать первые 70.000 рублей!
😭Пишу и плачу! Проект Наталья помогла мне закрыть долги общей суммой в 550.000 рублей и выйти на стабильный заработок
🎙Сколько вы сможете…
В Корее нашли фотостудию, которая делает лучшие семейные портреты.
Авторы сначала фотографируют людей и животных, а затем вручную собирают из снимков сюрреалистичные коллажи, воплощая самые безумные идеи клиентов. И всё это без использования ИИ.
Главная идея проекта — превратить обычную семейную фотографию в нечто, что останется в памяти навсегда
В Англии кот повадился таскать домой чужие вещи — хозяйке он уже принёс чипсы, прокладки и даже выигрышный лотерейный билет
Желаем каждому домой такого кота
Марина Федункив приглашает вас в свой юмористический канал для женщин
“Дорогие, милости прошу к моему шалашу каналу. Я приглашаю вас в море отборного юмора, 18+ приколов, а также мы хохочем над мужиками. Вам понравится!”
Юмор — это спасательный круг на волнах жизни.
Переходите: @marina_prikol
🇷🇺 Теперь и в МАХ 🔫
💩33🤮15👎4🤡1
Showing the 12 most recent of 500 posts we hold for @stlbnkoff. 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
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@stlbnkoff named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@oshibkabuka named in 1 post, 14 August 2026 – 14 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Как я встретил столбняк” (@stlbnkoff), 76,816 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/stlbnkoff.
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.