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 17 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
5 measurements spanning 41 days, net +394. 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 4,528–5,040 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:57
4,981
+301
13 Aug 2026, 13:48
4,680
+89
10 Aug 2026, 15:31
4,591
+4
7 Aug 2026, 15:01
4,587
no change
7 Aug 2026, 14:56
4,587
first reading
Engagement
25 posts held, back to 29 June 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 7 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 25 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 29s
Average length
30s
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
3,729 reactions across 25 posts, in 57 distinct kinds. The most used accounts for 7.03% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 6325752533629273447
262
7.03%
custom 5384370288748149285
241
6.46%
custom 5373087388186723128
238
6.38%
custom 5199664494334206774
182
4.88%
custom 5359691015823316488
146
3.92%
custom 5431358184449126998
141
3.78%
custom 6032969427719294302
140
3.75%
custom 5908773121141250223
133
3.57%
custom 5215485040728762085
132
3.54%
custom 5208547380055519980
128
3.43%
custom 5267046075872596750
128
3.43%
custom 5228797004099906655
124
3.33%
custom 5285052872289959957
117
3.14%
custom 5228891617934462536
103
2.76%
custom 5224722428755718379
92
2.47%
custom 5415893519044725066
86
2.31%
custom 5285391723734798101
81
2.17%
custom 5348476388062015170
79
2.12%
custom 5996830859926180625
79
2.12%
custom 5433698928740552089
61
1.64%
37 further kinds
1,036
27.8%
Custom emoji. Every row above is a 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 25 of the 25 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 3,729 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 29 June 2026 to 11 August 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
1
of 25 we hold a reading for · 4%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @formalinoviy_jem. 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 25 most recent posts we hold for this entry, published 29 June 2026 to 11 August 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.
сегодня я выявила у пациентки
ревматоидный артрит (РА) !!!
🔘писала о нем тут
Я так горжусь собой 🥹
Не, ну правда, хочется немного себя похвалить. Понятно, что врач итак обязан безошибочно ставить диагноз, быть идеальным и т.п. Но блин я же только недавно пришла и могла растеряться...
💫Пациентка 60 лет пришла
💫с жалобами на сдавливающую
💫боль в левой поясничной обл.
💫Больше жалоб не озвучила.
Кажется, типичный случа…
начала писать пост про pdf, решила добавить еще и ddlg, потом ушла в формирование прл, а закончила все сравнение птср и кптср 🧠 🌟
кск итог: я не написала ни одного поста полностью и вся запуталась 😖
⚠️ — как возникает ПРЛ
⚠️ — ПТСР и КПСТР
🐾 — сеkсуальные р-ва
МОЙ ПЕРВЫЙ МИЛЛИОН !!! 🍋
жаль конечно, что из всех моих видео, одни из которых я делала по несколько дней — залетел мем про врачей и сосиски 🌭 🤩
😗 tiktok
а вы знали, что трудовой договор, заключенный в гос больнице не подразумевает факт прохождения наставничества?
для того, чтобы пошел срок отработки под наставничеством, необходимо, чтобы глав врач составил приказ о назначении конкретного врача вашим наставником 🩺 👨⚕️ Не каждая мед структура так заморачивается, поэтому будьте внимательны при трудоустройстве! 📄📁
#наставничество #новыйзакон #отработка #врач #больница…
НАШИ ОРГАНЫ ЧУВСТВ
НИКОГДА НЕ МОЛЧАТ...
Все мы знаем, что при утрате одних органов чувств усиливается активность других: так, у слепых людей сильно развита тактильная чувствительность 👨🏻🦯 у глухих — боковое зрение и т.п. Т.е. чтобы сохранить баланс, при утрате чего-то одного, организм гипертрофирует функцию другого.
Состояние, при котором человек лишен каких-либо органов чувств, называется частичная сенсорная д…
я никогда не думала, что снять квартиру ТААААК трудно:
- у вас татуировки, не подходите
- вы не в официальном браке, это грех 💀😈
при этом квартиры нереально дорогие...
еще и аккаунт на авито блокнули и требуют проверки из-за слишком высокой активности (а пройти ее не могу из-за технической ошибки, которую обещают исправить в ближайшие дни). почему все так трудно 😭😭😭
еще и залог, который не факт что вернут (все з…
Showing the 12 most recent of 25 posts we hold for @formalinoviy_jem. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
У женщины слабость, недомогание, повышение t° до 38,7 °С После нормализации t° появилась желтуха. Какой диагноз?
грипп, осложненное течение11%
билиарный цирроз печени36%
вирусный гепатит А39%
вирусный гепатит В26%
The shares total 112%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 25 most recent posts we hold, published 29 June 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
“формалиновый джем” (@formalinoviy_jem), 4,981 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/formalinoviy_jem.
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.
