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Channel

doctor_lipinski

@doctorlipinski

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

584subscribers

+1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001750870624
TypeChannel
Username@doctorlipinski
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/doctorlipinski

Growth

5825845837 August 2026 — 583 subscribers7 August 2026 — 582 subscribers14 August 2026 — 584 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net +1. 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 582–584 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:56584+2
7 Aug 2026, 19:36582-1
7 Aug 2026, 10:48583first reading

Engagement

14 posts held, back to 13 March 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
30.7%
avg views ÷ 584 subscribers
Avg views / post
180
2 posts measured
Reaction rate
8.64%
reactions ÷ views · ER floor
Posts in window
2
of 14 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
WindowRolling 30 days · latest post in window 30 July 2026
Posts held14 (13 March 202630 July 2026)
Views total359
Reactions total31
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 10:48 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

410 reactions across 14 posts, in 13 distinct kinds. The most used accounts for 32.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13432.7%
🔥11026.8%
👍8019.5%
❤‍🔥379.02%
👏204.88%
122.93%
🕊71.71%
🎉30.732%
20.488%
😇20.488%
👻10.244%
🙏10.244%
🤝10.244%

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 14 of the 14 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 410reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 13 March 2026 to 30 July 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 14 we hold a reading for · 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 @doctorlipinski. 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 14 most recent posts we hold for this entry, published 13 March 2026 to 30 July 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.

Recent posts

30 Jul 2026, 11:52 UTC126 views16 reactionsread 7 August 2026
Photo

У пациента редкий и неприятный разрыв внутреннего мениска ramp-повреждение, т.е. отрыв части мениска от капсулы коленного сустава. Лечение в данном случае только хирургическое - рефиксация мениска.

🔥9👍43

24 Jul 2026, 10:08 UTC233 views15 reactionsread 7 August 2026
Photo

Болезнь Хаглунда (деформация Хаглунда или болезнь Хаглунда — Шинца) — это патология, при которой на задней поверхности пяточной кости, чуть выше места крепления ахиллова сухожилия, образуется костный нарост (экзостоз). Это разрастание травмирует окружающие ткани при беге, прыжках, ношении обуви с жёстким задником. Причины возникновения: 1. Особенности анатомии пяточной кости – у некоторых людей пятка более «угловата

🔥65👍4

18 Jul 2026, 16:08 UTC283 views29 reactionsread 7 August 2026
Video

Презентация "Клиники Глазкова" на ежегодной регате Артроклуба 2026

🔥12👍115👏1

2 Jul 2026, 20:15 UTC412 views68 reactionsread 7 August 2026
Photo

Липинские Владимир Павлович и Татьяна Степановна! Сегодня у этой пары ШЕСТИДЕСЯТАЯ годовщина свадьбы! Бриллиантовая! Низкий поклон и сердечные поздравления! Совет да любовь! Горько! Любим, гордимся! Берём пример!

❤‍🔥37👏15👍9🔥43

1 Jul 2026, 18:25 UTC311 views20 reactionsread 7 August 2026
Photo

Вечерний фитнес

👍124🎉31

25 Jun 2026, 14:07 UTC≈2,330 views17 reactionsread 7 August 2026
Video

КАК ПРАВИЛЬНО ХОДИТЬ НА КОСТЫЛЯХ? 📌 Если болит левая нога — трость держите в правой руке. 📌 Если болит правая нога — трость держите в левой руке. Почему именно так? Во время ходьбы рука и противоположная нога движутся одновременно. Поэтому трость в здоровой руке помогает разгрузить больную ногу и делает походку более устойчивой. Что будет, если держать трость в больной руке? • хуже разгружается сустав; • появля

7🔥6👍4

21 Jun 2026, 17:04 UTC314 views22 reactionsread 7 August 2026
Photo

Всех коллег поздравляю с Днём медицинского работника! Ура!

16👍3🔥3

18 Jun 2026, 08:12 UTC383 views24 reactionsread 7 August 2026
Video

Пяточная шпора — это не столько костный нарост, сколько проблема подошвенной фасции, которая испытывает постоянную перегрузку. Самый характерный симптом — боль в пятке при первых шагах утром или после длительного отдыха. Причина боли не в том, что «шип колет ткани», а в хроническом воспалении и микроповреждениях фасции. Поэтому мази и уколы далеко не всегда решают проблему. Основа лечения — упражнения, работа с м

👍9🔥762

4 Jun 2026, 14:12 UTC≈2,380 views26 reactionsread 7 August 2026
Video

УДАРНО-ВОЛНОВАЯ ТЕРАПИЯ УВТ — это не универсальное лечение от всех болезней. Метод работает за счет контролируемого воздействия на ткани, улучшая кровоток и стимулируя процессы восстановления. Лучше всего ударно-волновая терапия помогает при хроническом воспалении сухожилий и связок. Но УВТ не растворяет остеофиты, не убирает грыжи дисков, не лечит варикоз и не восстанавливает сустав при тяжелом артрозе. Поэтому

118🔥6🤝1

29 May 2026, 08:52 UTC417 views14 reactionsread 7 August 2026
Photo

Конференция по ошибкам и осложнениям!

🔥8👍3😇2👏1

20 May 2026, 18:06 UTC498 views44 reactionsread 7 August 2026
Photo

Всех причастных поздравляю с Международным Днём травматолога! ЗЫ: Очередной базовый курс по применению экстркорпоральной ударно-волновой терапии в лечении ортопедических заболеваний проведён успешно. Спасибо всем участникам за внимание!

22🔥11👍7👏3🙏1

Showing the 12 most recent of 14 posts we hold for @doctorlipinski. 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 — 217,938 of 1,480,975entries 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.

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.

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

“doctor_lipinski” (@doctorlipinski), 584 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/doctorlipinski.

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.