Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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.
Growth
56 measurements spanning 92 days, net +722. 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 25,497–26,626 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
7 Nov 2026, 08:20
26,349
-2
6 Nov 2026, 10:45
26,351
-5
5 Nov 2026, 10:06
26,356
-16
3 Nov 2026, 09:46
26,372
-13
2 Nov 2026, 07:04
26,385
-19
1 Nov 2026, 03:26
26,404
-4
31 Oct 2026, 00:06
26,408
-10
30 Oct 2026, 03:06
26,418
-16
29 Oct 2026, 05:19
26,434
-3
28 Oct 2026, 03:10
26,437
-1
27 Oct 2026, 00:55
26,438
-12
25 Oct 2026, 01:47
26,450
+1
24 Oct 2026, 03:36
26,449
+1
23 Oct 2026, 00:15
26,448
-5
22 Oct 2026, 00:28
26,453
-6
20 Oct 2026, 22:41
26,459
-9
19 Oct 2026, 18:58
26,468
-6
18 Oct 2026, 18:48
26,474
+2
17 Oct 2026, 19:41
26,472
+1
16 Oct 2026, 17:20
26,471
first reading
Engagement
95 posts held, back to 14 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 152 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.8%
avg views ÷ 26,349 subscribers
Avg views / post
9,160
27 posts measured
Reaction rate
10.2%
reactions ÷ views · ER floor
Posts in window
28
of 95 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 November 2026
Posts held
95 (14 July 2026 – 6 November 2026)
Views total
247,310
Reactions total
25,256
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 06:07 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
96,300 reactions across 94 posts, in 40 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
30,153
31.3%
🔥
15,971
16.6%
❤
13,797
14.3%
😁
11,071
11.5%
😱
6,196
6.43%
👍
5,387
5.59%
🙈
3,163
3.28%
🤯
1,937
2.01%
😢
1,771
1.84%
👏
1,675
1.74%
🤬
1,152
1.20%
💔
739
0.767%
💯
571
0.593%
👀
563
0.585%
🤝
463
0.481%
🎉
240
0.249%
😭
203
0.211%
🏆
199
0.207%
😡
177
0.184%
🤔
158
0.164%
20 further kinds
714
0.741%
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 94 of the 95 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 96,300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 95 most recent posts we hold, published 14 July 2026 to 6 November 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
19
across the posts below
Posts paid on
14
of 94 we hold a reading for · 15%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pechat_sallyks. 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 95 most recent posts we hold for this entry, published 14 July 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 11 of 28 posts held from the last 30 days (39.3%) 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).
Любите путешествовать?
Летать, ездить, планировать?
Узнавать новые места и истории?
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Тогда заходите в уютный канал «Путевушки».
Там -🇦🇪 достопримечательности, еще не затоптанные туристами
- 🇷🇺Небанальные истории об известных персонажах
- 🇬🇷Жизненные ситуации, суеверия, привычки жителей других стран
- 🇫🇷Факапы в путешествии
- 🇩🇪Много красоты, позитива и юмора
Автор канала умуд…
#вольфрамовый_подгузник
Потеряшка
Мать пятерых детей по имени Лидия шла к подруге покормить новорожденного ребенка. Почему нельзя было сделать это у нее дома – вопрос. Как бы там ни было, она с младшим ребенком удалилась, а следующую по старшинству дочь, двухлетнюю Василису, оставила играть в песочнице со старшими дочерьми. Те были уже практически взрослые женщины, четырех и шести лет, так что мать была в них абсол…
Про рецепт долгой жизни вспомнила смешную историю. В доме моих родителей жила бабушка, бодрая и, как сейчас понимаю, не такая уж и старая. Я была младшая школьница, и помню, что бабушку обихаживали две взрослые дочери – возили по врачам, следили за питанием, приемом лекарств, оплачивали санатории и прочее. А бабушка ходила вечно ими недовольная, потому что продукты ей, конечно, привозили, а вот окна дочери, валявки, …
Ошибка фаранга
Одной из самых скандальных в газете долгое время оставалась рубрика кулинарных рецептов. Ее ведущей я сразу дала установку: нас читают люди с весьма скромными средствами, пенсионеры, многодетные матери и другие неофициальные лица, поэтому нужно ориентироваться на них. Путь к сердцу читателя лежал через его желудок, и мы должны были насоветовать всяких вкусностей из физически доступных и морально недор…
Культурное и массовое
Довелось иметь отношение к организации одного мероприятия для творческих людей. Вообще это не мой профиль, но иногда приходится делать много чего сверх лимита психической вместимости.
Всем потенциальным участникам были заранее разосланы анкеты с просьбой указать, точно ли приедут, какие у них есть ограничения по здоровью, по питанию, по китайскому гороскопу и сексуальной ориентации соседа по г…
Читала одного блогера и поразилась обилию хейтеров. Ощущение, что каких-то людей долго не кормили, все время били палкой по голове, держали в темноте и приучали кусаться под страхом мучительной смерти. И вот их выпустили сдавать зачет по злобности. Они его, конечно, сдали на отлично.
Я даже написала этому блогеру в личку слова сочувствия и поддержки. Нормальная ведь женщина, пишет про добро и свет, делится личным, и…
Расскажу об одной легендарной личности.
В мае 1777 года родился в семье богатых вологодских купцов сын, назвали Николаем. По тогдашним меркам – мажор. Но вместо того, чтобы гонять на телеге, пугая мирных обывателей, нюхать одурманивающие благовония и зажимать в сенях красных девок за медовый пряничек, Николай печалился о семейном довольстве, ибо легче верблюду пройти сквозь игольное ушко, чем богачу попасть в царств…
ПРИХОДИ ВЫЧЕРКИВАТЬ СЛАБЫХ
Вторая глава
Не люблю нарушать традиции. Если у нас заведены воскресные чтения про ведьм маленького городка, то они и будут воскресными.
А для тех, кого магический реализм и фэнтезийные детективы не прельщают, по будням я остаюсь нормальным блогером, строго придерживающимся фактов журналистской жизни. Встретимся завтра для обсуждения очередной истории на тему «спасибо, что я так скучно жи…
ПРИХОДИ ВЫЧЕРКИВАТЬ СЛАБЫХ
Вступление и первая глава
Друзья, в этот знаменательный день начинаю публиковать третью книгу из цикла «Ведьмы в городе».
Итак... Ведьма Лава Кирьянова, маскирующаяся под обычную журналистку газеты «Реальный Кротков», потеряла из виду подругу – ведьму Мару. Одновременно с Марой пропадает мелкий аферист, о котором Лава пишет статью. В это время в редакцию газеты приходит девушка, которая п…
Сильный аргумент
Приходит ко мне кадровик, озабоченная поручением от директора: всем начальникам отделов провести в коллективе работу о взаимно корректном поведении.
По словам кадровика, ни с того, ни с сего мирный завхоз Петрович, который должен был по пути на оптовую базу подкинуть мирного юриста Федора Михайловича в суд на служебной машине, послал того по матери и заставил выйти из машины. И Федор Михайлович был…
Гуси-лебеди
Было это десять лет назад. В самом северном городке Вологодской области сидели суровые северные мужики у магазина и обсуждали геополитику: в США к власти рвется какой-то Трамп (потом только сведущие люди объяснили, что это сокращенное от «трампвестит»), Британия вышла из Евросоюза, в Ницце грузовик врезался в толпу и испортил людям День взятия Бастилии… Пока жалели ниццеанцев, смотрят – в небе летит что-…
Не отвертитесь!
Иногда нашей организации требуется человек для выполнения кратковременной работы. Вот опять понадобился. Оплата – 4800 рублей по договору. Работа чисто физическая, занятость – неполный день и еще немножко следующий. Дали объявление, кандидат откликнулся, плечистый мужичок. Фронт работ понятен, оплата приемлемая.
Приходит в кадры со своими документами для составления договора. Садится, смотрит напряж…
🤣672🤯216🔥57😁34❤32👀28🤷♂28😢16
Showing the 12 most recent of 95 posts we hold for @pechat_sallyks. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@pechat_sallyks edited 4 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
30 September 2026
Posts recorded as deleted after publishing
We recorded 21 posts on @pechat_sallyks 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
7 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
10
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 5 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.
Read from Telegram’s recommendation API, most recently 13 September 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.
Александр Райн| Канал авторских историй @RaynAlexandr · 32,190 Telegram ranks this channel #11 of 76 here — alongside 75 others — read 5 September 2026
Малдер расскажет @malderstory · 25,376 Telegram ranks this channel #15 of 75 here — alongside 74 others — read 13 September 2026
Ded_Banzay @Ded_Banzay_official · 34,352 Telegram ranks this channel #42 of 80 here — alongside 79 others — read 3 September 2026
Ёрш @loginoversh · 62,720 Telegram ranks this channel #60 of 87 here — alongside 86 others — read 21 August 2026
Пластический хирург @dr_kondratev @dr_kondratev · 39,101 Telegram ranks this channel #72 of 76 here — alongside 75 others — read 19 September 2026
Yan_Dilan @yan_dilan · 77,608 Telegram ranks this channel #78 of 92 here — alongside 91 others — read 21 August 2026
ДиШ: фантастика и фэнтези @fantasy_jedi · 29,564 Telegram ranks this channel #87 of 92 here — alongside 91 others — read 13 September 2026
Загадки истории с Лысым Камрадом @popscienceru · 25,098 Telegram ranks this channel #91 of 91 here — alongside 90 others — read 16 September 2026
Китай Наизнанку 🇨🇳 Алексей Райсих @chinabackdoor · 50,402 Telegram ranks this channel #92 of 93 here — alongside 92 others — read 25 August 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Печатные выражения” (@pechat_sallyks), 26,349 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/pechat_sallyks.
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.