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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
57 measurements spanning 93 days, net -413. 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 22,540–23,077 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
7 Nov 2026, 05:38
22,602
-12
6 Nov 2026, 08:01
22,614
-5
5 Nov 2026, 07:26
22,619
-6
4 Nov 2026, 03:59
22,625
-7
3 Nov 2026, 02:27
22,632
-1
2 Nov 2026, 01:19
22,633
-2
1 Nov 2026, 04:47
22,635
-4
31 Oct 2026, 05:07
22,639
-5
30 Oct 2026, 08:17
22,644
-12
29 Oct 2026, 07:09
22,656
-2
28 Oct 2026, 04:00
22,658
-9
26 Oct 2026, 08:36
22,667
-11
25 Oct 2026, 08:41
22,678
-7
24 Oct 2026, 07:56
22,685
-12
23 Oct 2026, 04:48
22,697
-10
22 Oct 2026, 07:08
22,707
-11
21 Oct 2026, 03:27
22,718
-8
20 Oct 2026, 02:00
22,726
-7
19 Oct 2026, 05:27
22,733
+1
18 Oct 2026, 04:28
22,732
first reading
Engagement
153 posts held, back to 31 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.08%
avg views ÷ 22,602 subscribers
Avg views / post
1,600
40 posts measured
Reaction rate
2.76%
reactions ÷ views · ER floor
Posts in window
40
of 153 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 6 November 2026
Posts held
153 (31 July 2026 – 6 November 2026)
Views total
64,025
Reactions total
1,769
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 02:40 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
43s
Average length
43s
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
6,110 reactions across 149 posts, in 27 distinct kinds. The most used accounts for 32.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,968
32.2%
👍
795
13.0%
🌚
708
11.6%
👀
590
9.66%
🔥
488
7.99%
😁
306
5.01%
👎
229
3.75%
😭
194
3.18%
💊
170
2.78%
🦄
127
2.08%
❤🔥
125
2.05%
💔
117
1.91%
🤝
77
1.26%
🐳
49
0.802%
🤔
39
0.638%
💯
33
0.54%
😢
25
0.409%
😱
23
0.376%
🤬
9
0.147%
✍
7
0.115%
7 further kinds
31
0.507%
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 152 of the 153 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 6,191 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 153 most recent posts we hold, published 31 July 2026 to 6 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
1
across the posts below
Posts paid on
1
of 153 we hold a reading for · 0.7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lh_health. 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 153 most recent posts we hold for this entry, published 31 July 2026 to 6 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
0.654%
1 of 153 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,080
over 1 measured post
Median views · rest
1,440
over 152 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
2W5zFHhuBus
1
24 August 2026
24 August 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 153 most recent posts we hold, published 31 July 2026 to 6 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 40 posts held from the last 30 days (7.50%) 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).
Как помочь глазам, если весь день проводите за экраном
Полностью отказаться от экранов сложно, особенно если за компьютером приходится работать или учиться. Но можно уменьшить зрительное напряжение.
🩵 Смотрите вдаль. Каждые 20 минут переводите взгляд на объект примерно в 6 метрах от вас хотя бы на 20 секунд. Чтобы не забывать о перерывах, поставьте таймер.
🩵 Напоминайте себе моргать. При работе за компьютером мы м…
Как обычно чувствуют себя ваши глаза после дня за экраном?
❤️ — всё хорошо, ничего не беспокоит
👀 — устают, но после перерыва легче
😢 — сохнут и жгут, приятного мало
🌚 — просят пощады, а я открываю видосики
Как часто менять полотенца, даже если они не пахнут
«Я же вытираюсь после душа — откуда там грязь?» Но даже с чистой кожи на ткань попадают микробы и отмершие клетки. Так что вид и запах — не единственные ориентиры для стирки.
А вы как часто меняете банное полотенце?
❤️ — после каждого использования
👍 — раз в несколько дней
👀 — примерно раз в неделю
🌚 — когда вид и запах подскажут
Выяснили, сколько раз можно выте…
Планы на выходной: в сотый раз посмотреть любимый фильм
Вы уже знаете, кто убийца, кто с кем останется и в какой момент будете плакать. Но всё равно включаете.
Разобрались, почему знакомые сюжеты могут помогать отдыхать и стоит ли заставлять себя смотреть что-нибудь новое.
Читать →
👩⚕️ Подписаться
Многозадачность в резюме — плюс. Но чего она нам стоит?
Отвечаете в чате во время созвона, возвращаетесь к отчёту — и уже не помните, на чём остановились. Вечером работа закончилась, а голова будто всё ещё занята.
Что известно о последствиях такого режима? Можно ли совмещать дела без лишней нагрузки? И как отличить перегрузку от других причин усталости и забывчивости?
Обратились к исследованиям и задали вопросы не…
Как перестать бояться уколов, если это мешает лечиться
Можно быть взрослым, самостоятельным человеком и паниковать при виде шприца. Страх ничего не говорит о стойкости характера, но иногда заставляет откладывать анализы, прививки и лечение.
А вы боитесь уколов?
🔥 — нет, вообще не замечаю
👀 — немного, но терплю
💊 — да, боюсь сильно
🌚 — боюсь так, что не иду даже когда надо
Разобрались, как легче перенести процедур…
Что в косметичке у дерматолога Александра Шачнева
На полках магазинов — тысячи кремов, лосьонов, тоников. Разобраться в них бывает непросто. Чтобы оценить косметику, нужны знания о коже, составе средств и их действии — всё это есть у дерматологов. Поэтому мы просим их рассказать о собственном уходе: какие продукты они выбирают и за что готовы платить.
В этот раз заглянули в косметичку дерматолога Клиники Фомина Але…
«Вас тут не стояло» — классика, но наверняка у вас были истории и похлеще.
Расскажите о конфликте в поликлинике, который до сих пор вспоминаете со словами «это вообще что было?!» Что случилось и чем всё закончилось?
Йодик готов читать и возмущаться вместе с вами!
Недрочабрь: что это за челлендж и полезен ли он для здоровья
Сегодня начинается Недрочабрь, или No Nut November. Участники челленджа на месяц отказываются от мастурбации, а по некоторым правилам — вообще от эякуляции, в том числе во время секса с партнёром.
🌟 Зачем люди участвуют в Недрочабре
По-видимому, многие подписываются на Недрочабрь, просто чтобы запостить смешную картинку или видео, пошутить и посмеяться. …
Заболеваете? Рука потянулась к чесноку, звёздочке и антибиотикам? Чур вас, чур!
Большая подборка статей об ОРВИ — великом и ужасном. И о других недугах сезона простуд 👹
Что делать, если вы заболеваете простудой
Меня продуло, надо ли пить противовирусные или антибиотики? Рассказывает педиатр
Что делать, если продуло шею
Что делать, если продуло ухо
Полезны ли морсы при простуде
Правда ли мужчины переносят прост…
Что лучше: вытирать попу туалетной бумагой или мыть
Давно у нас не было обстоятельного разговора о попе. Исправляемся, мы здесь и для таких вопросов тоже.
Проктолог Вячеслав Булаев объяснил, насколько хорошо бумага справляется со своей задачей, может ли раздражать кожу и когда лучше предпочесть воду.
→ Читаем, не стесняемся
👩⚕️ Подписаться
👍12❤7👀6😁3
Showing the 12 most recent of 153 posts we hold for @lh_health. 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Дофамин | Лайфхакер @pofixil · 25,046 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 14 September 2026
Лайфхакер @lifehackerru · 67,489 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 20 August 2026
Рецепты Лайфхакера @lh_eda · 38,384 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 31 August 2026
Купрум @tolkosprosit · 42,795 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 28 August 2026
Горящая изба @BurningHut · 26,696 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 12 September 2026
Пей таблетки! | MedIQLab @mediq · 65,617 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 21 August 2026
0% токсичности @stop_toxic · 33,634 Telegram ranks this channel #59 of 87 here — alongside 86 others — read 3 September 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Йод | Лайфхакер” (@lh_health), 22,602 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/lh_health.
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.