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 16 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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
14 measurements spanning 39 days, net -2. 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 1,992–2,026 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 13:02
2,015
+5
11 Sept 2026, 12:21
2,010
+9
6 Sept 2026, 12:16
2,001
+2
1 Sept 2026, 20:53
1,999
+3
29 Aug 2026, 19:13
1,996
-13
26 Aug 2026, 22:16
2,009
-4
24 Aug 2026, 08:22
2,013
-3
20 Aug 2026, 17:02
2,016
+1
17 Aug 2026, 20:46
2,015
-7
14 Aug 2026, 14:35
2,022
+8
11 Aug 2026, 11:16
2,014
+3
8 Aug 2026, 00:57
2,011
-6
7 Aug 2026, 08:32
2,017
no change
7 Aug 2026, 08:24
2,017
first reading
Engagement
16 posts held, back to 23 April 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 2 pages 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 16 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
38s
Average length
38s
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
975 reactions across 16 posts, in 13 distinct kinds. The most used accounts for 28.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
277
28.4%
💔
218
22.4%
💯
190
19.5%
🤬
62
6.36%
😁
55
5.64%
❤🔥
45
4.62%
😢
43
4.41%
🌚
30
3.08%
👏
18
1.85%
🔥
16
1.64%
🕊
11
1.13%
🤩
7
0.718%
💅
3
0.308%
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 16 of the 16 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 975 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 23 April 2026 to 28 July 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
1,257
across the posts below
Posts paid on
16
of 16 we hold a reading for · 100%
Most on one post
500
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ne_tank_govorit. 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 16 most recent posts we hold for this entry, published 23 April 2026 to 28 July 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.
Попался пост, где художница дает советы по поиску отношений. Она подчеркивает, что все рекомендации «без магии», но при этом активно использует магическое мышление: воображаемые разговоры с партнёром, письма в будущее, притягивание половинки с помощью мысли «я — это подарочек».
У вас нет ощущения, что из-за кризиса на рынке дейтинга люди ебанулись? Перекус виноградом под столом, мед на подошве обуви, кружка от замуж…
Я уже шесть лет живу с ПТСР, и огромная часть этих лет была потрачена на попытку принять расстройство и научиться жить с ним бок о бок. Больше всего меня беспокоит психогенная рвота, которая часто появляется в ответ на триггеры. Таблетки мне помогать перестали, поэтому приходится справляться самой.
Недавно я была на корпоративе и несколько раз меня отбрасывало туда, на шесть лет назад. Приходилось отходить за здание…
Пугающе, что ботокс в лице в 2026 стал приравниваться к «ухоженности», и причем речь как всегда идет только о женщинах. Не кольнулась = поддерживаешь «культ неухоженного лица». Хотя если мы копнем глубже, то поймем, что морщины — это неизбежный процесс старения. Почему этот абсолютно нормальный, с точки зрения биологии, процесс стал признаком неухоженности?
На страхах и комплексах женщин легко зарабатывать. Нам внуш…
Фанфакт: в 2018 году я писала курсовую работу про свой любимый журнал Эсквайр и в том числе большое внимание в моей работе было уделено письмам главного редактора, потому что я их обожала. Отгадайте с одного раза, кто был главредом журнала
Команда Оксимирона* назвала обвинения артиста в груминге «пропагандистской кампанией»
Мы тут конечно же умолчим, что журналистка Настя Красильникова, которая и расследовала груминг, — сама давным давно уехала из России. И то, что одна из пострадавших, чей голос мы слышали в подкасте, даже не россиянка.
Какая дикость и мерзость — прикрываться своей политической позицией, чтобы смыть клеймо совратителя несовершенноле…
Кстати, в Самаре тоже ничего не работает. Странно, что я везде вижу заголовки только про Москву. Уверена, что в других регионах те же проблемы, но на нас видимо насрано — мне о проблемах писал только Мегафон
Круто, что 9 мая — это день окончания Великой Отечественной, но мы не можем выйти в интернет, зайти в приложение банка и писать смс-ки из-за других военных действий
Рассказала друзьям из Афиши, как я пыталась здорово питаться, а в итоге ебанулась. Заодно проанализировала, как орторексию замаскировывают под здоровый образ жизни, и конечно же — куда без этого — порассуждала, причем тут патриархат и капитализм. В конце предостережения от экспертки по РПП, если вдруг вы, как и я, решите наладить питание.
https://daily.afisha.ru/relationship/31898-ot-garvardskoy-tarelki-k-rpp-chto-s…
❤27😁5🔥3❤🔥2🌚1
Showing the 12 most recent of 16 posts we hold for @ne_tank_govorit. 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
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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Тювилина” (@ne_tank_govorit), 2,015 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ne_tank_govorit.
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.
