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 11 August 2026 and assigned it the closest of 31 fixed categories, at 51% 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.
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.
Views per post sit far above this size band
4,230 average views per post against 1,608 subscribers — an engagement rate of 263.3%. Across the 54,164 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Russian — the middle half sit between 10.5% and 35.6%, with a median of 20.1%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
16 of 17 published in the window (0 exact, 16 rounded by Telegram)
Views totalled
67,730
Mature posts only
263.3% over 16 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 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
4 measurements spanning 3 days, net +93. 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 1,501–1,622 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 16:27
1,608
+81
8 Aug 2026, 02:48
1,527
+12
7 Aug 2026, 21:46
1,515
no change
7 Aug 2026, 19:45
1,515
first reading
Engagement
17 posts held, back to 30 July 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
263.3%
avg views ÷ 1,608 subscribers
Avg views / post
4,230
16 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 13 of 16 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 30 July 2026
Posts held
17 (30 July 2026 – 30 July 2026)
Views total
67,730
Reactions total
780
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:46 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.
Reaction mix
780 reactions across 11 posts, in 17 distinct kinds. The most used accounts for 46.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😭
362
46.4%
😢
135
17.3%
😁
86
11.0%
❤
77
9.87%
🤣
41
5.26%
👍
27
3.46%
👎
22
2.82%
🥰
9
1.15%
🤝
4
0.513%
🫡
4
0.513%
🔥
3
0.385%
🖕
3
0.385%
👌
2
0.256%
🤷♀
2
0.256%
⚡
1
0.128%
💋
1
0.128%
😎
1
0.128%
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 13 of the 17 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 780reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 30 July 2026 to 30 July 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.
Многие спрашивают, почему закрывается тг и будет дотупен только сайт. Всё очень просто - и, думаю, понятно для тех, кто читал старые посты: мне наконец наскучило заниматься этим хобби со сливами, но бросать подписчиков без приваток считаю некрасивым, поэтому оставляю сайт, который не подвержен никаким блокировкам и будет работать в полностью автоматическом режиме месяцами без моего вмешательства (всё оплачено вперёд …
Сеть сливов "Запостить" XCVIII pinned «#админ С этого момента все приватки будут исключительно на сайте, все в телеграме, что ещё не забанено, медленно будет отключаться»
#админ
По многочисленным просьбам (реально, мне об этом спамят два года) я добавил в сетку сливы приваток "Проект Выжившие" (все сезоны) и Wooscoow. Мне лично это не особо интересно, так что какой-то активности по этим приваткам от меня не ждите, но посмотрим, насколько это надо подписчикам
Все уже залито на сайт zapostit.com - они доступны справа в списке приваток
#админ
Всё же не зря спамили мне те, кто предлагал Wooscoow, завоз контентика пошёл - и я не про его говнорецепты по смешиванию говна бомжихи и мочи осла в канале, разумеется
Данный жиртрест, который ранее угрожал всем сливщикам и удалял сливные каналы, с алмазной четкостью админа не справился и решил пойти другим путём: высрал стену текста про сливщиков в приватку, далее оттуда покикал подписчиков и многие посты в…
Ссылки на копии основных каналов (для забаненных):
Поздняков 3.0: @pidarkov_zapostk
Бутылка: @butylka_zapostjj
Алексей Шевцов: @jolygays_zapostitp
Вестник Шевцова: @jolynews_zapostita
Игорь Линк: @glink_zapostitq
Запрещенка из комментов Поздняка и прочих приваток: @prohibited_zapostitt
Приватки-архивы (не обновляются):
Угольный: @ugolniy_zapostit
Стерлигов: @sterligov_zapostitw
#админ
Чуркадэвид очень сильно обиделся и сразу же после своего позорного слива забанил канал админа, приватку Поздняка и бота. Разумеется, всё уже пересоздано, но заняло некоторое время, поскольку админ собирал всю историю с Дэвидом в отдельный канал - пока её не удалили вместе с чатом, как в прошлый раз.
Все приватки восстановлены, канал админа и бот пересозданы.
Почитать весь обсер Дэвида можно тут - @devid_slit
…
Слившись со спора, Дэвид перешел на новую тактику: "с админом спорить западло, так как он вероятно нищий, денег у него нет и о своих доходах в крипте он всё придумал".
Что же, Дэвид видимо забыл условия, на которых я был готов подтвердить наличие денег, а они весьма просты и были сказаны Позднякову во время нашего диалога почти два года назад: https://t.me/pidarkov_sliv/10 - это связано с тем, что деньги лежат на мо…
#админ
ПОЛИТОЛОГИ
Далеко не все находят этот пост, да и он сразу про несколько тематик, поэтому видимо придётся написать отдельно про аналитику и политологию для любителей различных поллитрологов, которые снова оккупировали мою личку в последние месяцы. Меня часто просили сливать Антонова, а теперь волна любителей почитать Дмитрия Никотина (впервые о нем услышал, когда мне написали) - поскольку другой сливной канал…
Showing the 12 most recent of 17 posts we hold for @zapostits. 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.
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
6
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
6
vacant every time we have ever looked
@zapostits named 6 handles 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.
@zapostitt named in 2 posts, 8 August 2026 – 8 August 2026
@jolygays_zapostitp named in 1 post, 8 August 2026 – 8 August 2026
@ugolniy_zapostit named in 1 post, 8 August 2026 – 8 August 2026
@wooscoow_zapostit named in 1 post, 8 August 2026 – 8 August 2026
@zapostitp named in 1 post, 8 August 2026 – 8 August 2026
@zapostitp_invite_bot named in 1 post, 8 August 2026 – 8 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Сеть сливов "Запостить" XCVIII” (@zapostits), 1,608 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/zapostits.
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.