Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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
25 measurements spanning 90 days, net +390. 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 7,518–8,123 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 17:06
7,996
-9
2 Nov 2026, 09:04
8,005
-17
30 Oct 2026, 19:37
8,022
-6
28 Oct 2026, 03:11
8,028
-25
25 Oct 2026, 00:07
8,053
+9
21 Oct 2026, 22:04
8,044
-5
18 Oct 2026, 13:20
8,049
+4
15 Oct 2026, 13:51
8,045
+128
12 Oct 2026, 17:51
7,917
-32
6 Oct 2026, 04:38
7,949
-3
29 Sept 2026, 00:21
7,952
-43
18 Sept 2026, 18:00
7,995
+5
14 Sept 2026, 08:59
7,990
+110
11 Sept 2026, 03:17
7,880
+90
6 Sept 2026, 09:59
7,790
-27
1 Sept 2026, 22:04
7,817
-31
29 Aug 2026, 16:27
7,848
-22
26 Aug 2026, 22:02
7,870
-24
24 Aug 2026, 00:13
7,894
+4
20 Aug 2026, 13:14
7,890
first reading
Engagement
53 posts held, back to 9 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
42.8%
avg views ÷ 7,996 subscribers
Avg views / post
3,420
16 posts measured
Reaction rate
9.15%
reactions ÷ views · ER floor
Posts in window
16
of 53 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 4 November 2026
Posts held
53 (9 July 2026 – 4 November 2026)
Views total
54,740
Reactions total
5,010
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 12:07 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.
What this channel posts
Photos
665
Videos
52
Links
91
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
35s
Average length
35s
Measured directly from 1 video 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
16,094 reactions across 53 posts, in 29 distinct kinds. The most used accounts for 32.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
5,164
32.1%
😁
4,908
30.5%
🔥
1,830
11.4%
❤
1,250
7.77%
💯
646
4.01%
❤🔥
623
3.87%
👏
386
2.40%
👍
293
1.82%
custom 5368556296473690322
254
1.58%
custom 5276505552363470229
233
1.45%
🤝
93
0.578%
😍
85
0.528%
🤪
77
0.478%
🤩
51
0.317%
🤗
37
0.23%
😎
28
0.174%
🙈
26
0.162%
💘
18
0.112%
😈
16
0.099%
🙏
16
0.099%
9 further kinds
60
0.373%
Custom emoji. 2 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 53 of the 53 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 16,094 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 9 July 2026 to 4 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
209
across the posts below
Posts paid on
41
of 53 we hold a reading for · 77%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dyhaniepyatkoi. 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 53 most recent posts we hold for this entry, published 9 July 2026 to 4 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.
Advertising
Ad load
1.89%
1 of 53 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,960
over 1 measured post
Median views · rest
3,790
over 52 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
2W5zFJhdaWE
1
3 November 2026
3 November 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 53 most recent posts we hold, published 9 July 2026 to 4 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: 6 of 16 posts held from the last 30 days (37.5%) 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).
У малого недавно был день рождения. Подарили с мужем вешалку в форме жопы Феррари. Любит тачки до посинения.
Отошли на пять минут, возвращаемся на кухню.
Сидит ребенок. Рядом жопа Феррари. Чуть дальше — огромный кусок бампера.
Упала.
Мы с мужем давай скакать вокруг:
— Не переживай! Сейчас папа всё починит! Сейчас подклеим! Будет как новая! Даже лучше! Ты только не переживай!
На нас с недоумением смотрит невозму…
Не спилась, не скурилась, не сдохла под забором — мой KPI успеха за последние несколько лет с учётом предложенных нам обстоятельств.
Как же ты вывозишь, спросите вы.
А я отвечу: живу с грузином (это очень весело), кошка-ебобошка не даёт расслабиться и пью много кофею.
Каждое утро я выхожу из дома, чтобы купить оверпрайснутый капучино в любимой кофейне и посидеть с ним на лавочке. Сижу, смотрю на прохожих, про себя…
Очень сложно у грузин с цифрами.
У них двадцатеричная система счисления, как у французов.
Это мы с вами скажем восемьдесят пять, а француз с грузином — четырежды двадцать и пять. Ну и зачем, спрашивается, так выёживаться?
С числами у этих ребят вообще какие-то особенные отношения.
Вот уходишь ты вечером в кабинет поработать на двадцать минут. Залетает грузинский муж и такой:
— Тебя уже полтора часа нет! Что ты т…
Слышали про любовь с первого взгляда?
А вот у меня случилась любовь с первого текста. Оказывается, и такая бывает. Смотрите:
«Вечером выползли с Глашенькой погулять. На улице темно, сыро. Идем во дворах и слышим оглушительный крик: „Моня-я-я! Моня, хватит! Моня, прекрати!“
Оборачиваемся — а там Моня. Рвется на нас с поводка. Хрипит. Рычит. Задыхается. Хозяйка еле Моню держит. Размером Моня с втулку от туалетной бу…
Пока все обсуждали феминитивы, мои клиенты пошли дальше и придумали анималитивы!
Недавно услышала на сессии новое слово — менеджерица.
Это женщина-менеджер, которая за своих горой стоит.
Менеджерица и её менеджерята.
Ну не прелесть ли?!
Свекровь недавно ездила в Грузию.
Перед возвращением спрашивает:
— Что вам привезти в подарочек?
Мы отвечаем:
— Привезите нам немного вина.
— Говно вопрос, уже делается.
Приходит недавно в гости. С собой — бутылка нереально вкусной домашней хванчкары.
Посидели, почирикали.
— Как жаль, что бутылочка одна. Такое вино прекрасное. Я бы всех угостила.
— Обижаешь, — отвечает свекровь. — Я привезла десять литров.
…
Я не большой фанат экспертных блогов.
Пять простых способов заработать с AI на онлифанс. Английский с нуля до C1 за десять дней. Как построить счастливый брак, не прибегая к поножовщине.
Ну скучно же.
Я верю в «блогеров-бытовушников».
У них есть профессия, которая со временем может меняться. Есть партнер, который тоже не гвоздями к полу приколочен. Есть кокошки или самбачки — тут, конечно, хотелось бы стабильност…
Муж пригласил меня вчера на свидание в дорогущий ресторан русской кухни.
Посреди зала — огромное веретено. На входе встречают хлебом да солью. Официантки при полном параде — в традиционном русском обмундировании, разве что без кокошников.
Я провела двадцать минут в обнимку с меню, потому что хоть убей — не могла ничего выбрать.
Муж спрашивает — в чём дело?
А я говорю — филологическое ДТП какое-то.
Смотри, говорю…
Изучаем новые слова на испанском.
Дали задание пройтись по квартире и расклеить на разные предметы стикеры с их названиями на языке наркоторговцев и знойных красоток.
Первым делом я, разумеется, наклеила бумажку кошке на жопу с гордым званием la gata.
Как по-испански будет «ебобошка», мы ещё не проходили, но я обязательно спрошу. La ebobohas какая-нибудь, наверняка.
Наклеив кокошке бумажку на жопку, я всё это дел…
Несмотря на все наши хиханьки да хаханьки здесь, в глубине души я убеждена, что я драматическая актриса.
Потому месяц назад я отправилась на актёрскую лабораторию в Gogol School. Раскрывать в себе этот потанцевал.
Преподают у нас три прекрасных мастера из ГИТИСа. Действующие актёры, талантливые педагоги, замечательные люди. В конце курса у нас будет настоящий спектакль, на который мы позовём друзей и знакомых.
И в…
Недавно я посмотрела фильм «Приглашение».
В нём Пенелопа Крус играла психотерапевта, которая периодически переходила на испанский. Она была статна, шикарна, мудра и красива, а её речь разливалась сиропом по моей впечатлительной душонке.
Всё, что нужно знать обо мне: одного такого эпизода мне вполне достаточно, чтобы начать учить испанский и мониторить местные магистратуры.
Полезла искать репетитора. В шорт-лист по…
Showing the 12 most recent of 53 posts we hold for @dyhaniepyatkoi. 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
@dyhaniepyatkoi 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
28 August 2026
Most recent edit
28 August 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @dyhaniepyatkoi 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
12 August 2026
Most recent seen missing
18 August 2026
Median time before seen missing
22 days
Seen missing in the last 30 days
0
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.
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.
Самородов Про АвтоБизнес @protradein · 34,070 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 3 September 2026
Демидов сейчас @justdemidovit · 45,293 Telegram ranks this channel #74 of 95 here — alongside 94 others — read 6 September 2026
Телеграмма от Максима Юрина @yumaks · 42,946 Telegram ranks this channel #92 of 99 here — alongside 98 others — read 29 August 2026
This channel appears in 3 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“техники дыхания пяткой” (@dyhaniepyatkoi), 7,996 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dyhaniepyatkoi.
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.
