Health & wellness — 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 91% 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
33 measurements spanning 41 days, net +386. 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 23,416–34,401 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:20
26,514
-440
15 Sept 2026, 16:18
26,954
-906
13 Sept 2026, 23:38
27,860
-653
12 Sept 2026, 05:38
28,513
-613
9 Sept 2026, 23:20
29,126
-853
6 Sept 2026, 16:55
29,979
-471
4 Sept 2026, 02:41
30,450
-229
2 Sept 2026, 16:28
30,679
-231
1 Sept 2026, 14:04
30,910
-392
31 Aug 2026, 11:28
31,302
-419
30 Aug 2026, 11:35
31,721
-229
29 Aug 2026, 14:44
31,950
-373
28 Aug 2026, 14:04
32,323
-364
27 Aug 2026, 13:46
32,687
-446
26 Aug 2026, 12:35
33,133
+2,646
25 Aug 2026, 09:56
30,487
-328
24 Aug 2026, 09:35
30,815
-312
22 Aug 2026, 18:42
31,127
-278
21 Aug 2026, 11:19
31,405
-571
20 Aug 2026, 11:27
31,976
first reading
Engagement
56 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.4%
avg views ÷ 26,514 subscribers
Avg views / post
3,550
25 posts measured
Reaction rate
5.00%
reactions ÷ views · ER floor
Posts in window
25
of 56 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 September 2026
Posts held
56 (5 August 2026 – 6 September 2026)
Views total
88,780
Reactions total
4,439
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 01:25 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
Video runtime
37s
Average length
19s
Measured directly from 2 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
9,474 reactions across 56 posts, in 11 distinct kinds. The most used accounts for 27.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,625
27.7%
🔥
2,360
24.9%
🎉
2,136
22.5%
👍
2,112
22.3%
🥰
79
0.834%
😍
73
0.771%
🤩
42
0.443%
💯
22
0.232%
💋
18
0.19%
🎄
4
0.042%
🍾
3
0.032%
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 56 of the 56 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 9,474 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 5 August 2026 to 6 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
3
of 56 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pitersnobka. 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 56 most recent posts we hold for this entry, published 5 August 2026 to 6 September 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.
Обсуждали на днях с подругой качество сна и бессоницу..
У меня сейчас любимое комбо перед сном:
🔹вечерний травяной чай для сна(botanitea deep sleep)💤
🔹2-3 таблетки магния
🔹за час до сна мягкий свет
🔹хорошо увлажнить руки
🔹маска для сна
А если еще добавить чистой постельное белье + тяжелое одеяло - сон будет сказочно крепкий и под утро с интересными снами 💙
Кстати, на этой подушке от Beautysleep сплю уже месяца дв…
Утром была точечная уборка…
Хочу похвалить BioMio для ванны - приятно пахнет, вроде как не сильная химия, а очень круто и быстро отмывает + бережно чистит ванную(я свою villeroy&boch берегу как могу) и гипоаллергенно и спокойно ребенку можно потом купаться 🥰 обязательно буду брать именно этот бренд.
Чудо паста Brandfree - ярко розовая, спасает мои стены. Хз откуда появляются черные «царапины» и я смело тряпочкой тр…
Наконец-то я выбралась из за точения и мы отправились с Леонидом гулять 😋
Мой папа в детстве научил меня замечать всякие интересные вещи вокруг - знаки, вывески, декор, архитектуру, что-то находить новое и интересное 😍
Леонид сегодня с радостью пошел гулять далеко(обожаю!!!) и очень надеюсь, что он станет моим спутником гуляяяяять долго 🥰
Заходили в магазинчики, ужинали в кафе и много смеялись 🤗
Я заболела 😰
Лежу в кровати третий день..вот хотела обсудить - кто в какие игры иногда залипает в телефоне?
Помню в самом первом моем айфоне это были энгри бердс! Да что уж, я вообще айфон купила только ради этой игры 🤗 в 2011 году
А когда у меня появился первый айпад - я несколько лет играла в смурфиков 🥰 строила там город.
Был еще эпизод fishdom тоже года два залипала, а игра для самолета была 2048 😋
Сейчас у …
Авоська воспоминаний — всё, что хотелось унести с собой из детства
Сервис Elementaree запустил специальный ностальгический набор ко Дню знаний. Внутри — всё для вкусного путешествия в школьное детство: сосиски в тесте, шоколадная колбаса, яблочный компот и дополнительные сюрпризы из прошлого. Всё как раньше, даже авоська!
Идеальное времяпровождение после лета, 2 сентября - приготовить ностальгические блюда школьных…
Ура!!!
Всех школьников и родителей школьников поздравляю с началом нового учебного года!
Леониду в школе нравится - и это главное 🥰💙
Какие все сегодня красивые! И родители и ребята - кайф наблюдать было 💙
Наслаждаемся последним днем лета!
Завтра уже в школу, а сегодня наконец-то собрали Йодо! Еще в очереди двигатель из Лего, решили уже отложить на выходные.
Звездные войны ворвались в нашу жизнь - коллекция собранных все больше и больше 💙
Приехала из отпуска моя любимая подруга и мы тут же помчались вкусно завтракать и делиться новостями!
В апарт-отеле Well гастропекарня Текстура - завтраки целый день 🥰💙
Драники с лосесом, авокадо-торт, омлет с пармезаном, кофе на безлактозном и какая - все позиции были невероятно вкусными!
А еще с собой взяли булочек и открыли их только дома - и это было что-то невероятное 🤤🤤🤤 я пожалела, что не попробовала сразу,…
Smartavia & snow sea - новая классная коллаборация 😍
Все, что нужно для перелета! Патчи, увлажняющая сыворотка, крем для лица и для рук - увлажнение это наше всё во время полета 🥰🥳
Надеюсь, что отпуск на морях - совсем скоро!
Знала, что обязательно вернусь в Matilde на наб. Реки Карповки
Прекрасное итальянское бистро! В этот раз пробовала новые блюда 😍
🔹террин из фуагра с инжиром
🔹лосось со спаржей
🔹карамелизированная морковь
🔹гребешки с соусом просекко
А так же попробовала бокал безалкогольного вина(бессмыслица полная). Гребешки ели родители, я их не люблю, и десертами баловались тоже родители - шоколадный торт и паннакота - им понрав…
Я все-таки вернулась за этими мисочками с котами - для воды котиков моих 😍
У них есть одна большая модная миска burberry, долго искала что-то стильно-симпатично-кошачье и нашла в магазине посуды для ресторанов 🥰 вайб абсолютно японский от мисок, но эти котики 🐈⬛ 🐈 в самое сердечко 💙
❤54👍50🔥44🎉24
Showing the 12 most recent of 56 posts we hold for @pitersnobka. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Питерская снобка” (@pitersnobka), 26,514 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pitersnobka.
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.