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 23 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
7 measurements spanning 36 days, net -1. 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 278–285 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 14:41
279
-1
3 Sept 2026, 19:17
280
-2
27 Aug 2026, 13:04
282
-1
20 Aug 2026, 17:52
283
-1
14 Aug 2026, 08:26
284
+4
8 Aug 2026, 08:33
280
no change
7 Aug 2026, 12:58
280
first reading
Engagement
17 posts held, back to 28 January 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 13 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
21s
Average length
5s
Measured directly from 4 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
1,021 reactions across 17 posts, in 28 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
421
41.2%
🔥
115
11.3%
custom 5283139309740765379
83
8.13%
❤🔥
62
6.07%
🕊
46
4.51%
custom 5242605641784106529
45
4.41%
😍
44
4.31%
🤣
39
3.82%
custom 5415623326947091559
29
2.84%
custom 5388841349703284277
19
1.86%
custom 5274225173837394638
18
1.76%
custom 5280546416509340552
18
1.76%
custom 5443025785231252771
14
1.37%
⚡
12
1.18%
custom 5258080554980511961
9
0.881%
custom 5460851815065067428
8
0.784%
🦄
7
0.686%
💔
5
0.49%
🤗
5
0.49%
custom 5251676977785483690
4
0.392%
8 further kinds
18
1.76%
Custom emoji. 10 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 17 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 1,021 reactions 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 28 January 2025 to 13 May 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
1,354
across the posts below
Posts paid on
11
of 17 we hold a reading for · 65%
Most on one post
1,050
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @prstkssh. 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 17 most recent posts we hold for this entry, published 28 January 2025 to 13 May 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.
As usual внезапно решила проверить, как там поживают мои равновесия и растяжка
💪 Упражнения на равновесие тренируют работу центральной нервной системы, вестибулярного аппарата и мышц-стабилизаторов, улучшая контроль над телом, координацию и реакцию.
💪 Регулярная растяжка и развитие гибкости повышают эластичность мышц и подвижность суставов, что снижает риск травм, улучшает осанку и кровообращение, а также снимает м…
ну тут можно уже сбор донатов на новые носки открывать в честь моего приближающегося дня рождения
один из плюсов — все видят мой педичур 🦶
ладно, шутки в сторону, мы люди серьезные
как у вас тут обстановка?
С Новым годом! ✨
Желаю каждому из вас крепкого здоровья, понимающих и любящих людей рядом, достижения поставленных целей, счастья и просто всего самого доброго и теплого 🤍
Целую, обнимаю, к сердцу прижимаю
Вот мы и наконец-то дождались лета, вы там не зажарились?
Я очень люблю жаркую и солнечную погоду и поэтому с огромным удовольствием провожу время на улице, дабы урвать свою дозу витамина D и серотонина, зарядиться энергией и позитивом, всего должно быть в меру поэтому сильно не заигрываемся, чтобы не нанести вред своему здоровью 🙃
Несколько важных правил:
💦 не забывайте про водный balance, старайтесь всегда носит…
Любимая базовая база на проработку мышц спины, которую я чаще всего выполняю в зале:
➖Вертикальная рычажная тяга/ в грузоблочном тренажере широким хватом
➖Тяга верхнего блока узким хватом (с v-образной рукоятью)
➖Тяга штанги в наклоне к поясу
➖Подтягивания в гравитроне
➖Тяга горизонтального блока узким хватом
➖Пуловер в кроссовере
➖Тяга гантелей одной рукой на скамье
➖Гиперэкстензия
➖Гуд монинг
Нет, я не делаю все …
взгляд кошки, грация картошки
Осталось всего лишь 6 понедельников до лета, все готовы оголять свои шрекси лэгс и демонстрировать мощные кубы пресса на животе? 😏
Showing the 12 most recent of 17 posts we hold for @prstkssh. 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.
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.
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“простоксюшино” (@prstkssh), 279 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/prstkssh.
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.
