Health & wellness — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 7 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 29 June 2026 to 30 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @doctor_tips21. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
11 measurements spanning 32 days, net +208. 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 2,567–2,838 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 09:37
2,807
+22
2 Sept 2026, 23:03
2,785
+38
31 Aug 2026, 05:46
2,747
+51
27 Aug 2026, 23:19
2,696
+66
24 Aug 2026, 17:45
2,630
+5
20 Aug 2026, 16:22
2,625
+18
17 Aug 2026, 18:05
2,607
+1
14 Aug 2026, 18:22
2,606
+8
11 Aug 2026, 13:52
2,598
-3
8 Aug 2026, 07:02
2,601
+2
7 Aug 2026, 10:03
2,599
first reading
Engagement
20 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 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 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 03s
Average length
1m 41s
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
580 reactions across 20 posts, in 27 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
👍
239
41.2%
❤
71
12.2%
🤯
52
8.97%
🙏
31
5.34%
😱
26
4.48%
👌
18
3.10%
🔥
18
3.10%
👀
16
2.76%
👏
16
2.76%
🤨
16
2.76%
👎
11
1.90%
😢
9
1.55%
🤓
9
1.55%
💯
8
1.38%
🤮
8
1.38%
😨
6
1.03%
💊
5
0.862%
🤡
4
0.69%
🥰
4
0.69%
😁
3
0.517%
7 further kinds
10
1.72%
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 20 of the 20 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 580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 June 2026 to 6 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.
Advertising
Ad load
15.0%
3 of 20 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
919
over 3 measured posts
Median views · rest
907
over 17 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 20 most recent posts we hold, published 29 June 2026 to 6 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Какую воду мы пьем?
🎯Вода, пропущенная через проточный фильтр
Плюсы: очистка от хлора, тяжелых металлов и других загрязнений прямо на месте использования. Поддержание минерального баланса в воде. Экономия бюджета в сравнении с покупкой бутилированной воды.
Минусы: не удаляет все типы загрязнений например, бактерии и вирусы. Требуют регулярной замены картриджей
🎯Вода из фильтра-кувшина
Плюсы: удаляет многие загря…
Как сохранить здоровье печени? Что значит жировой гепатоз печени?
Вопрос очень большой. Начну писать, никто до конца не дочитает😂
Поэтому разобью на два и отвечу частями.
Не буду писать насколько важна печень для организма, у нас в принципе нет неважных органов🤷🏻.
Напишу о нескольких вещах, которые знают все, но многие игнорируют. Основная (но не единственная функция печени)- детоксикационная и очевидно, что чем …
Безопасность в быту - нелепые травмы
Когда мы говорим о безопасности первая ассоциация - люди в оранжевых касках, ну или ремень безопасности в машине.
Истории, о которых я расскажу произошли в обычных условиях, не на дороге и не в условиях опасного производства.
Случай первый. Женщина ночью встала в туалет и чтобы окончательно не просыпаться не стала включать свет. Выходя из комнаты ударилась о приоткрытую дверь, …
Здравствуйте!Камень в желчном пузыре 1,8 мм.При погрешности с едой приступы не более 1 мин.,больше нет никаких симптомов.Хирург порекомендовал операцию.Как срочно надо ее делать,и надо ли вообще?
Если вы не опечатались и камень действительно 1,8 мм, а не см, то за ним можно наблюдать. При таких размерах он ничем не угрожает. Но я думаю, что вы все же опечатались и речь идет о камне в 1,8 см
Диаметр желчного протока…
Помните то чувство, когда вы заходите в чей-то дом и сразу хочется остаться подольше? 🤝
Секрет не в дорогом ремонте, а в особых деталях, которые создают магию
В нашем канале "Лавка уютных вещей" мы делимся находками для интерьеров со своей историей
🛋 Здесь нет места банальности и скуке - только вещи с характером и душой
Каждый день - новая идея, которая преобразит ваш дом без серьезных затрат
Присоединяйтесь к с…
На видео лазерное удаление татуировки. Выглядит достаточно просто, как будто татуировка исчезла сразу. На самом деле это побеление временное (называется «фрост») и эту процедуру нужно будет повторить несколько раз (до 10).
Знать всю медицину невозможно. И это нормально.
Но учиться можно спокойнее и проще 🤍
Мы собрали каналы, которые помогут разобраться, а не запутаться ещё больше 👇
Представь, что ты больше не теряешься в себе
Ты понимаешь, почему откладываешь, зачем злишься и как выйти из замкнутого круга мыслей
🟣 Вместо "что со мной не так?" - появляется ясность
🟣 нутри - тишина
🟣 В жизни - осознанность
👉 В канале "Идеальный человек" ты найдёшь:
✔️ Глубокие разборы поведения и эмоций
✔️ Удивительные психологические факты
✔️ Простые, но сильные инсайты, которые меняют взгляд на мир
Подпиши…
Для любителей загара)
Наглядная демонстрация воздействия солнечного света на кожу. Это водитель—дальнобойщик.
Левая сторона лица водителя фургона на протяжении десятков лет подвергалась более сильному воздействию солнечных лучей, что заставило кожу на этой части лица гораздо быстрее стареть и терять свою эластичность.
Гипердонтия
Гипердонтия ("акульи зубы") - состояние, при котором у человека развивается больше зубов, чем положено.
Но это не просто курьезное отклонение; оно может существенно влиять на здоровье полости рта. Согласно исследованиям, опубликованным в журнале "Dental Research Journal", гипердонтия встречается примерно у 1-4% населения и может привести к различным проблемам, включая нарушение выравнивания зубов, болез…
👍12❤4🤓3🤨2👀1😢1
Showing the 12 most recent of 20 posts we hold for @scientificdiagnos. 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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Научный диагноз” (@scientificdiagnos), 2,807 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/scientificdiagnos.
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.
