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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
Growth
63 measurements spanning 98 days, net +8,220. 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 8,410–22,613 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
12 Nov 2026, 07:46
20,974
+287
10 Nov 2026, 09:10
20,687
+1,196
9 Nov 2026, 00:36
19,491
+1,469
7 Nov 2026, 18:00
18,022
+199
6 Nov 2026, 15:37
17,823
+421
5 Nov 2026, 16:26
17,402
+441
4 Nov 2026, 19:30
16,961
+392
3 Nov 2026, 21:24
16,569
+311
2 Nov 2026, 20:49
16,258
+596
1 Nov 2026, 22:08
15,662
+1,030
31 Oct 2026, 20:20
14,632
+538
30 Oct 2026, 17:11
14,094
+423
29 Oct 2026, 19:11
13,671
+1,343
28 Oct 2026, 19:50
12,328
+1,674
27 Oct 2026, 16:29
10,654
+260
26 Oct 2026, 17:31
10,394
+345
25 Oct 2026, 20:34
10,049
-17
24 Oct 2026, 17:44
10,066
-1
22 Oct 2026, 20:11
10,067
-3
21 Oct 2026, 17:15
10,070
first reading
Engagement
53 posts held, back to 5 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 20,974 subscribers
Avg views / post
2,690
13 posts measured
Reaction rate
2.59%
reactions ÷ views · ER floor
Posts in window
13
of 53 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 10 November 2026
Posts held
53 (5 July 2026 – 10 November 2026)
Views total
35,032
Reactions total
908
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 04:44 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
Video runtime
57s
Average length
29s
Measured directly from 2 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
2,175 reactions across 53 posts, in 20 distinct kinds. The most used accounts for 22.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
491
22.6%
❤
433
19.9%
👍
357
16.4%
❤🔥
324
14.9%
🎉
229
10.5%
custom 5415830292831178709
206
9.47%
👏
28
1.29%
⚡
21
0.966%
😍
20
0.92%
🤩
13
0.598%
🙏
10
0.46%
🏆
9
0.414%
🥰
9
0.414%
👌
7
0.322%
🙈
5
0.23%
🙉
4
0.184%
💔
3
0.138%
💯
3
0.138%
😨
2
0.092%
🤝
1
0.046%
Custom emoji. One 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 count beside it is 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 53 of the 53 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 2,175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 5 July 2026 to 10 November 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
2
of 53 we hold a reading for · 4%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dnkomru. 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 53 most recent posts we hold for this entry, published 5 July 2026 to 10 November 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.
Advertising
Ad load
1.89%
1 of 53 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
8,120
over 1 measured post
Median views · rest
1,120
over 52 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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqxjXWhK
1
26 October 2026
26 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 53 most recent posts we hold, published 5 July 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 13 posts held from the last 30 days (23.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🩸Что может рассказать о здоровье биохимия крови?
Хотите узнать, сколько сахара в крови, как работают почки, печень и другие внутренние органы, хватает ли микроэлементов? Биохимия крови — это способ заглянуть внутрь без рентгена и УЗИ и ответить на эти вопросы.
Комплексные анализы на биохимию помогают проверить важные для здоровья показатели: от глюкозы и холестерина до ферментов печени и запасов железа. Именно они …
🤧 Аллергочип ALEX2: до 300 аллергенов в одном исследовании
Пыльца растений, домашняя пыль, шерсть животных, продукты питания… Иногда бывает непросто разобраться, что именно вызывает аллергическую реакцию, особенно если организм реагирует сразу на несколько аллергенов.
🔬 60.825 «Аллергочип ALEX2» — современное исследование, которое позволяет одновременно определить специфические IgE к аллергокомпонентам (до 300) и у…
🧬 Новый медицинский офис ДНКОМ в селе Ям!
В городском округе Домодедово открылся новый медицинский офис ДНКОМ! Теперь жители села Ям и ближайших населённых пунктов могут сдавать необходимые анализы рядом с домом.
Что важно знать о новом офисе?
🔬 В ДНКОМ доступно более 4 500 лабораторных исследований: от привычных анализов крови до специализированных исследований и комплексов для оценки состояния здоровья.
Здесь м…
🦴 Остеопороз часто называют «тихим» заболеванием. Костная ткань постепенно теряет плотность и прочность, при этом долгое время заметных симптомов может не быть. Иногда первым проявлением становится перелом после незначительного падения или нагрузки.
Риск остеопороза увеличивается с возрастом, особенно после наступления менопаузы. На состояние костной ткани влияют особенности обмена кальция и фосфора, уровень витамин…
🖤 Чёрная пятница в ДНКОМ началась!
С 1 по 30 ноября вас ждут скидки до 70% на комплексные лабораторные исследования. 🔬
Давно планировали пройти чекап или проверить важные показатели здоровья? Сейчас хороший повод осуществить задуманное на выгодных условиях.
В акции участвуют комплексные исследования, которые позволяют оценить сразу несколько показателей организма и получить более полную картину состояния здоровья.…
🧬 В Магасе открылся второй медицинский офис ДНКОМ!
Хорошие новости для жителей Магаса! Наша сеть в городе расширяется, и теперь у вас есть ещё один адрес, где можно сдать необходимые анализы и позаботиться о своём здоровье.
Новый медицинский офис уже открыт и принимает пациентов!
🔬 В ДНКОМ доступно более 4 500 лабораторных исследований: от базовых анализов до комплексных обследований. Здесь можно проверить важные …
🧪Правда или миф? Разбираемся в лабораторной диагностике!
Можно ли исключить дефицит железа при нормальном гемоглобине? Правда ли, что интенсивная тренировка накануне сдачи крови может повлиять на результаты анализов?
Даже в привычных лабораторных исследованиях есть нюансы, о которых многие не задумываются.
🔬 Собрали 5 интересных фактов и распространённых заблуждений об анализах, чтобы разобраться, где правда, а гд…
🎁 Большой розыгрыш ДНКОМ × ARAVIA Professional
Мы объединили профессиональный уход и лабораторную диагностику, чтобы порадовать вас особенными подарками.
И подготовили сразу 6 призов, среди которых годовой запас средств для ухода за лицом и телом, сертификаты на лабораторные исследования и подарочный бокс. 🎉
Что разыгрываем?
1️⃣-е место:
Годовой запас средств для ухода за лицом и телом для тебя и твоей подружки …
🧠 Почему один и тот же антидепрессант у разных людей может действовать по-разному?
На эффективность и переносимость препарата влияет сразу несколько факторов. Один из них — генетические особенности, влияющие на метаболизм лекарств.
🧬 Гены CYP2D6 и CYP2C19 влияют на работу ферментов, которые участвуют в метаболизме ряда антидепрессантов. В зависимости от индивидуальных особенностей препарат может метаболизироваться …
🧬 Новый медицинский офис в Абакане!
На карте ДНКОМ появился ещё один адрес! В Абакане, на улице Трудовой, 90, открылся медицинский офис, который уже принимает пациентов.
Теперь жителям Абакана доступны более 4 500 лабораторных исследований. Среди них как отдельные анализы, так и комплексы исследований для оценки состояния здоровья. 🔬
Мы знаем, как важно, чтобы сдача анализов проходила спокойно и комфортно. Поэтому…
❓ Коллаген: пить или сначала проверить, чего не хватает организму?
Порошки, саше, желейки, коллагеновый кофе — сегодня коллаген можно встретить буквально везде. Его принимают в надежде улучшить состояние кожи, поддержать суставы и кости.
Но с эффективностью коллагеновых добавок всё не так однозначно. Исследования дают разные результаты: в одних отмечается положительный эффект, в других убедительных данных недостато…
☺️ Серотонин называют «гормоном счастья», но всё намного интереснее
Серотонин чаще всего связывают с настроением и эмоциональным состоянием. Но один из самых неожиданных фактов о нём заключается в другом:
⚡️более 90% серотонина в организме образуется в желудочно-кишечном тракте 🔺, а не в головном мозге.
В кишечнике серотонин участвует в регуляции моторики, секреции и других процессах, связанных с пищеварением.
То …
❤🔥12👍6❤5👌1
Showing the 12 most recent of 53 posts we hold for @dnkomru. 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.
Posts edited after publishing
@dnkomru edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
1 September 2026
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
❓ Какой из этих анализов позволяет оценить средний уровень сахара в крови за последние 2-3 месяца?
Глюкоза крови натощак17%
Гликированный гемоглобин (HbA1c)74%
Пероральный глюкозотолерантный тест6%
Тест на С-пептид3%
Shares as published. No per-option vote count is published by Telegram, so none is 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 53 most recent posts we hold, published 5 July 2026 to 10 November 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 3 registered channels — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
PROFI | Курсы гайды @profi_kursi_gaidi · 92,868 Telegram ranks this channel #51 of 77 here — alongside 76 others — read 16 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Лаборатория ДНКОМ | медицинские анализы” (@dnkomru), 20,974 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/dnkomru.
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.