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Channel

спроси про сон у пульмонолога

@ask_pulmonologist

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

186subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002378406533
TypeChannel
Username@ask_pulmonologist
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/ask_pulmonologist

Growth

18610 Aug 2026, 01:46 — 186 subscribers10 Aug 2026, 02:15 — 186 subscribers10 Aug 2026, 01:4610 Aug 2026, 02:15
2 measurements taken within a single day. 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 185–187 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 02:15186no change
10 Aug 2026, 01:46186first reading

Engagement

12 posts held, back to 14 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.4%
avg views ÷ 186 subscribers
Avg views / post
67.7
3 posts measured
Reaction rate
4.68%
reactions ÷ views · ER floor
Posts in window
3
of 12 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held12 (14 April 20267 August 2026)
Views total203
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 01:46 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

55 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 78.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53642014358587448694378.2%
custom 5465280918484704641610.9%
custom 519307465729246256835.45%
custom 542497283509532974223.64%
custom 522439898765357263211.82%

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 areTelegram’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 11 of the 12 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 55reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 14 April 2026 to 7 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.

Recent posts

7 Aug 2026, 09:50 UTC32 viewsread 10 August 2026
Forwarded from @dr_yakupovPhoto

Уважаемые коллеги! Приглашаем вас принять участие в осеннем лагере «MEDкэмп», который будет проходить 19–21 сентября 2026г Это необычный и классный формат, который включает в себя интенсивную образовательную программу + полноценный отдых+общение+ретрит. Вас ждут обмен опытом, чистый воздух, красивая природа поблизости и новые знакомства с лучшими коллегами республики и не только! Участие бесплатное! Перезагрузка

19 Jul 2026, 13:39 UTC86 views5 reactionsread 10 August 2026
Photo

Еще одни диплом в коллекцию🚑

custom 53642014358587448695

19 Jul 2026, 13:38 UTC85 views3 reactionsread 10 August 2026

🩷🩷🩷 🩷🩷🩷🩷🩷 Пульмонология — лечение одышки, острого и хронического кашля, астмы, ХОБЛ, пневмонии, бронхоэктатической болезни, острого и хронического бронхита и других заболеваний органов дыхания. Сомнология — диагностика и лечение нарушений сна: апноэ, бессонница, храп, сбитый режим, хроническая усталость Как попасть на очный и онлайн на прием? онлайн 🌟Мой сайт: https://fedorova-pulmonologist.tilda.ws/ (посмотре

custom 51930746572924625683

29 Jun 2026, 19:41 UTC140 views4 reactionsread 10 August 2026
Photo

Photo, posted without a caption

custom 53642014358587448694

3 Jun 2026, 11:16 UTC199 views2 reactionsread 10 August 2026

https://prodoctorov.ru/kazan/vrach/1196597-fedorova/ Уважаемые пациенты! Кто из вас был у меня на приеме по поводу апноэ и храпа, буду очень благодарна, если вы напишете свой отзыв. Спасибо! ☺️

custom 54249728350953297422

1 Jun 2026, 09:12 UTC216 views4 reactionsread 10 August 2026
Photo

Информация для тех, кто «просто храпит». Не тяните время и проверьте ваш организм сейчас, ведь апноэ страдает каждый седьмой/восьмой человек

custom 54652809184847046414

28 May 2026, 09:03 UTC173 views5 reactionsread 10 August 2026
Photo

🔠🅾️🅱️🅾️🆑🀄️🆖 Теперь я принимаю как пульмонолог онлайн (текстовый формат консультации) в клинике "Мед Эксперт". https://medexpert-kazan.ru/vrachi/fedorova-taisya-dmitrievna/ Можно записываться! 🙏🏻 Формат общения - через удобное приложение

custom 53642014358587448695

23 Apr 2026, 21:33 UTC172 views6 reactionsread 10 August 2026

https://vkvideo.ru/video-117181581_456240592?list=faf86e49969d2f16b1&t=4s

custom 53642014358587448695custom 54652809184847046411

23 Apr 2026, 21:33 UTC141 views6 reactionsread 10 August 2026

https://vkvideo.ru/video-117181581_456240591?list=ln-UHkDJTYV2aooVpuWsp&t=4s

custom 53642014358587448695custom 54652809184847046411

20 Apr 2026, 15:41 UTC161 views10 reactionsread 10 August 2026
File

File, posted without a caption

custom 536420143585874486910

20 Apr 2026, 15:41 UTC143 views5 reactionsread 10 August 2026

Делюсь методичкой для улучшения качества сна. Возможно, вы найдете для себя что-то интересное ☀️

custom 53642014358587448695

14 Apr 2026, 14:23 UTC187 views5 reactionsread 10 August 2026

https://probolezny.ru/evali/ Как обещала, отправляю вам интересную информацию. Это моя статья про ЭВАЛИ( болезнь вейперов) для сайта продокторов, которую мы писали очень долго. Она будет актуальна как для тех, кто вейпит, так и для тех, кто ранее этим занимался или общается с теми, кто в актуальном статусе)

custom 53642014358587448694custom 52243989876535726321

Showing the 12 most recent of 12 posts we hold for @ask_pulmonologist. 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.

Citation-graph rank

Citation-graph rank — 799,177 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“спроси про сон у пульмонолога” (@ask_pulmonologist), 186 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ask_pulmonologist.

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.