Science — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 42 days, net -1,492. 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 88,366–90,306 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, 04:01
88,590
-10
15 Sept 2026, 03:56
88,600
-52
13 Sept 2026, 11:37
88,652
-55
11 Sept 2026, 15:01
88,707
-91
8 Sept 2026, 22:40
88,798
-113
5 Sept 2026, 16:16
88,911
+33
3 Sept 2026, 16:58
88,878
-53
2 Sept 2026, 10:28
88,931
-48
1 Sept 2026, 08:16
88,979
-47
31 Aug 2026, 05:13
89,026
-32
30 Aug 2026, 08:24
89,058
-35
29 Aug 2026, 08:27
89,093
-17
28 Aug 2026, 07:48
89,110
-61
27 Aug 2026, 09:36
89,171
-29
26 Aug 2026, 13:09
89,200
-45
25 Aug 2026, 11:52
89,245
-66
24 Aug 2026, 11:17
89,311
-67
22 Aug 2026, 17:37
89,378
-65
21 Aug 2026, 06:12
89,443
-33
20 Aug 2026, 07:42
89,476
first reading
Engagement
56 posts held, back to 29 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 98 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 88,590 subscribers
Avg views / post
11,300
22 posts measured
Reaction rate
0.998%
reactions ÷ views · ER floor
Posts in window
22
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 20 September 2026
Posts held
56 (29 July 2026 – 20 September 2026)
Views total
248,710
Reactions total
2,482
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 11:07 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
≈2,490
Videos
≈262
Links
≈1,050
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 42s
Average length
54s
Measured directly from 3 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
6,082 reactions across 54 posts, in 12 distinct kinds. The most used accounts for 56.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,424
56.3%
🔥
1,249
20.5%
😁
625
10.3%
🍓
232
3.81%
😭
165
2.71%
🗿
143
2.35%
🍌
120
1.97%
🌭
49
0.806%
🍾
33
0.543%
😱
21
0.345%
😈
16
0.263%
🌚
5
0.082%
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 6,243 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 29 July 2026 to 20 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
17
across the posts below
Posts paid on
13
of 56 we hold a reading for · 23%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @viksi666tg. 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 29 July 2026 to 20 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.
Про белок из желатина, какао и макарон
Каждая худеющая женщина хотя бы раз в жизни залипала в таблицу калорийности и обнаруживала, что в желатине бешеное количество белка (85 г на 100 г сухого порошка), в какао тоже прилично (около 20 г на 100 г), да и в макаронах из твёрдых сортов не так уж мало (порядка 10-11 г на 100 г сухого продукта). И если есть это весь день как единственный источник белка, то вроде норму мож…
Концерты, на которые я сходила за последние несколько лет, когда наконец поняла, что лучше времени, чем сейчас, не будет))
Было ещё больше привозов, на которые я хотела, но не срослось поехать, и о паре пропущенных реально жалею.
В России как-то совсем перестала ходить на концерты, году в 2016 бросила это дело. То ли лень, то ли работы стало слишком много, то ли просто выпало из головы, что это вообще существует как…
Женские проблемы на Пхукете, часть 2
Проблема четвёртая: некуда наряжаться
Кроме "сходить пожрать", "сходить в торговый центр" и "выпить шампанского", особо и деть себя некуда. Дождь может идти несколько дней подряд, красивую обувь тут просто негде носить, повода одеться по-особенному тоже почти не бывает. По части фэшна я давно одичала, привыкаешь жить в шлёпках и с одним приличным платьем на все случаи жизни. Ост…
Женские проблемы на Пхукете, часть 1
Периодически спрашивают, как так, живёшь на райском острове, а что вообще может пойти не так. Отвечаю развёрнуто, на своём опыте и опыте подруг. Будет два поста. Коротко: живу пиздато, но есть нюансы.
Проблема первая: бьюти
По тайским законам мастером в салоне официально может быть только тайка. Русские могут работать только технологами, то есть формально числиться выше тайских…
Животные, которых мы не смогли сохранить.
Только не говорите, что вы никогда об этом не думали перед сном)))) для меня это такая же базовая тема для размышлений, как для многих Римская империя, и в конце этих дум обычно становится немного досадно.
У нас есть GTA, роботы-пылесосы, полёты в космос, ИИ, который пишет за нас посты в инстик, и насвай. А вот сохранить целый виды животных мы, люди, просто не смогли💀
Кто …
Кайфуем последние пару дней ⚡️
Потому что скидочка на Bombbar скоро истекает, и тогда ваш шанс кайфового закупа сильно падает, ведь всегда хочется побольше и подешевле.
А я напомню, что продукция у них есть не только в России, а еще и в Таиланде, поэтому флексить и есть сладенькое без потерь для вашего КБЖУ и здорового питания.
Промик viksi даёт –30% на всё, кроме товаров с желтыми ценниками на официальном сайте b…
Где я травилась в Таиланде (и где ни разу)
За без малого четыре года жизни здесь я травилась раз пять. И каждый раз — внимание — это были рестораны уровня выше среднего. То есть места с кондиционером, официантами, которые нормально шпарят на английском, многослойными салфетками на столе и приличной посудой. Места, куда обычный тайский работяга даже не заглянет, потому что для него это дорого. При этом с тележки на б…
Старая шельма в деталях
👉 Старая шельма. Подписаться
❤108🔥35🍌21😈4
Showing the 12 most recent of 56 posts we hold for @viksi666tg. 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.
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.
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.
“Старая шельма / viksi666” (@viksi666tg), 88,590 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/viksi666tg.
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.
