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 97% 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
58 measurements spanning 92 days, net +221. 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 10,184–10,675 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
7 Nov 2026, 15:59
10,574
-4
6 Nov 2026, 13:16
10,578
-2
5 Nov 2026, 13:40
10,580
-1
4 Nov 2026, 11:08
10,581
-2
3 Nov 2026, 08:16
10,583
+2
2 Nov 2026, 08:15
10,581
-8
1 Nov 2026, 08:11
10,589
-1
31 Oct 2026, 10:28
10,590
+4
30 Oct 2026, 12:36
10,586
-1
29 Oct 2026, 15:41
10,587
-3
28 Oct 2026, 16:46
10,590
-1
27 Oct 2026, 16:11
10,591
-2
24 Oct 2026, 16:15
10,593
-2
23 Oct 2026, 19:08
10,595
-3
22 Oct 2026, 22:18
10,598
-5
21 Oct 2026, 22:09
10,603
-1
20 Oct 2026, 18:00
10,604
-1
19 Oct 2026, 20:07
10,605
-3
18 Oct 2026, 18:50
10,608
-1
17 Oct 2026, 16:07
10,609
first reading
Engagement
59 posts held, back to 18 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.8%
avg views ÷ 10,574 subscribers
Avg views / post
2,410
21 posts measured
Reaction rate
6.18%
reactions ÷ views · ER floor
Posts in window
21
of 59 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
59 (18 July 2026 – 6 November 2026)
Views total
50,705
Reactions total
3,133
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 08:56 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.
Reaction mix
8,510 reactions across 59 posts, in 19 distinct kinds. The most used accounts for 45.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,834
45.1%
👍
2,339
27.5%
🔥
1,901
22.3%
💯
137
1.61%
😢
108
1.27%
🤔
79
0.928%
🤓
31
0.364%
🙏
16
0.188%
❤🔥
12
0.141%
🕊
10
0.118%
⚡
9
0.106%
🍓
7
0.082%
💊
6
0.071%
✍
5
0.059%
👏
5
0.059%
🤝
5
0.059%
🐳
3
0.035%
😍
2
0.024%
👌
1
0.012%
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 59 of the 59 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 8,510 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 18 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
53
across the posts below
Posts paid on
22
of 59 we hold a reading for · 37%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @spasibo_dok. 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 59 most recent posts we hold for this entry, published 18 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
1.69%
1 of 59 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
962
over 1 measured post
Median views · rest
2,440
over 58 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
2W5zFJHuXY5
1
27 August 2026
27 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 59 most recent posts we hold, published 18 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: 1 of 21 posts held from the last 30 days (4.76%) 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).
Почему мы чувствуем вкус прежде всего носом, а не языком?
Спорим, вы с закрытыми глазами очень легко отличите грушу от персика? Конечно, отличите! А если я предложу вам провести один интересный и простой эксперимент?
Сделайте из груши и персика однородное пюре (чтобы обмануть осязание и не распознать фрукт по текстуре волокон). А теперь плотно-плотно зажмите нос пальцами и попробуйте обе ложки.
Вы вообще не поймет…
Мы толстеем не от сахара и не от углеводов
Принято же считать, что главный враг фигуры это прежде всего углеводы, так ведь?
Многие садятся на диету и первым делом маниакально проверяют этикетки именно на количество сахара, почти полностью игнорируя остальные столбцы.
Но всё работает немного иначе. Мы обрастаем боками не от чистых углеводов, а от незаметного переизбытка жиров.
Углеводы наш организм предпочитает сжи…
Самые частые ошибки при выборе и использовании тонометра
Покупка тонометра одна из самых частых бытовых задач, где мы умудряемся ошибиться на каждом шаге, от выбора прибора до самого процесса измерения. В итоге человек либо годами ходит с недиагностированной гипертонией, либо глотает горстями гипотензивные препараты из-за "нарисованных" прибором цифр!
Сразу скажу, на сегодня забудьте про тонометр с грушей и стетоск…
Почему домашние тренажеры работают только как вешалки для одежды?
А ну ка, признавайтесь, у кого дома пылится эллипс или степпер, купленный с твердой целью похудеть к лету? 😅
У производителей этих железяк есть один секрет, о котором вам мало кто расскажет. Сами по себе тренажеры не шибко то помогают похудеть.
Давайте вместе разберем ваш суточный расход калорий:
70% - это ваш базовый метаболизм. Это плата организму…
Как ваш сосед в 60 выглядит на 40
У каждого из нас есть такой знакомый. По паспорту ему далеко за шестьдесят, а он выглядит на сорок с хвостиком, да еще и сохраняет ясность ума, и энергии в нем больше.
От какой колдовской силы, зараза, энергию черпает, а?
В геронтологии для таких феноменальных людей даже термин официальный придумали - "суперэйджеры" называется.
Долгое время считалось, что всё дело в ДНК, то бишь…
Что делать, если ...
вы или ребенок случайно глотнули уксус или бытовую химию
Случайный глоток 70% уксусной эссенции, которую кто-то по привычке перелил в обычную кружку (во время готовки например), или яркая бутылка чистящего средства, до которой добрался ребенок это сценарий секундной случайности, но с последствиями очень серьёзными.
Что в таких случаях предпринимать точно нельзя:
1. Категорически нельзя вызыват…
Почему вопрос планирования ребенка всегда решается с женской стороны - «не можешь забеременеть — иди к гинекологу»
А мужчины не торопятся пройти обследования. По статистике в 48% случаев бесплодных пар обнаруживается «мужской фактор».
По данной теме я советую подписаться на канал «Поколение НЕКСТ», где врачи-репродуктологи рассказывают:
❓Не получается забеременеть: дело во мне или в муже?
❓О чем говорит боль внизу…
Почему бесполезно кипятить водопроводную воду
Ну.. Если только вы чаю не хотите заварить 😅
Дело всё в том, что кипячение воды это способ сделать воду безопасной только с точки зрения бактериологии, то есть убить бактерии и вирусы.
Но сейчас эта опасность, в больших городах, где есть муниципальное водоснабжение, где есть водоочистные станции, практически равна нулю!
Почему же я так в этом уверен?
Если в вашем город…
Что делать если...
рядом подавился человек
Итак, возьмем к примеру самое обычное застолье. Всем весело и интересно, идет оживлённое общение.
Но вот, в один момент, во время еды человек внезапно замолкает, широко открывает глаза и хватается за горло (обратите внимание, это универсальный жест удушья). Лицо у него начинает синеть.
На такой вызов скорая к сожалению физически не успеет доехать. Вы у руля и лично у вас …
Все мы дышим кислородом. Или все же нет?
Сделайте глубокий вдох.
Только что вы втянули в себя 78% азота и лишь 21% кислорода. Когда на приеме я говорю пациентам:
Вам нужно больше гулять в парке
многие закатывают глазища. Звучит как унылый совет из старой методички. Кажется, какая разница, где вдыхать свою норму кислорода, идя вдоль оживленного проспекта или под сосной?
Прогулка среди деревьев это ни в коем разе не …
Если человеку внезапно стало плохо
Как за 1 минуту распознать инсульт (и почему время здесь важнее всего)
В нашей культуре в таких случаях принято усадить человека на диван, дать стакан воды и сказать:
Дружище полежи, сейчас отпустит! Давление, наверное, скакануло!
Но если вдруг это инсульт, тактика "подождем пару часов" гарантированно убивает человека или делает его глубоким инвалидом.
Чтобы мгновенно понять, нуж…
Почему наши мышцы болят после тренировки/физической работы
И виновата ли в этом та самая молочная кислота?
Это частенько происходит, когда мы отлично потренировались (ну или перенесли тяжелые коробки при переезде), а через день не можем встать с кровати без стона. По старой привычке мы виним во всем "эдакую молочную кислоту, которая забила мышцы".
Молочная кислота (или лактат) действительно вырабатывается при тяжел…
🔥90👍41❤25
Showing the 12 most recent of 59 posts we hold for @spasibo_dok. 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
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Спасибо, Док!” (@spasibo_dok), 10,574 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/spasibo_dok.
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.