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Channel

Доктор Травкин

@drtravkin

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

10,119subscribers

+11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001453914723
TypeChannel
Username@drtravkin
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/drtravkin

Growth

10,09810,12210,1106 August 2026 — 10,108 subscribers7 August 2026 — 10,107 subscribers8 August 2026 — 10,106 subscribers11 August 2026 — 10,104 subscribers12 August 2026 — 10,105 subscribers13 August 2026 — 10,102 subscribers14 August 2026 — 10,098 subscribers16 August 2026 — 10,120 subscribers18 August 2026 — 10,114 subscribers19 August 2026 — 10,115 subscribers20 August 2026 — 10,118 subscribers22 August 2026 — 10,117 subscribers23 August 2026 — 10,113 subscribers25 August 2026 — 10,114 subscribers26 August 2026 — 10,115 subscribers26 August 2026 — 10,116 subscribers28 August 2026 — 10,119 subscribers29 August 2026 — 10,121 subscribers29 August 2026 — 10,122 subscribers30 August 2026 — 10,118 subscribers1 September 2026 — 10,116 subscribers2 September 2026 — 10,115 subscribers3 September 2026 — 10,108 subscribers4 September 2026 — 10,115 subscribers7 September 2026 — 10,119 subscribers10,1196 August 20267 September 2026
25 measurements spanning 32 days, net +11. 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 10,094–10,126 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Sept 2026, 08:1810,119+4
4 Sept 2026, 16:3610,115+7
3 Sept 2026, 05:5510,108-7
2 Sept 2026, 03:1710,115-1
1 Sept 2026, 00:5610,116-2
30 Aug 2026, 20:4510,118-4
29 Aug 2026, 22:3510,122+1
29 Aug 2026, 00:5510,121+2
28 Aug 2026, 01:5310,119+3
26 Aug 2026, 23:2310,116+1
26 Aug 2026, 01:0910,115+1
25 Aug 2026, 04:0410,114+1
23 Aug 2026, 19:3710,113-4
22 Aug 2026, 06:0510,117-1
20 Aug 2026, 20:1310,118+3
19 Aug 2026, 22:5210,115+1
18 Aug 2026, 19:4610,114-6
16 Aug 2026, 13:5810,120+22
14 Aug 2026, 18:1610,098-4
13 Aug 2026, 08:2410,102first reading

Engagement

29 posts held, back to 4 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.0%
avg views ÷ 10,119 subscribers
Avg views / post
1,920
8 posts measured
Reaction rate
5.43%
reactions ÷ views · ER floor
Posts in window
8
of 29 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 28 August 2026
Posts held29 (4 June 202628 August 2026)
Views total15,351
Reactions total833
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 03:54 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

3,179 reactions across 29 posts, in 9 distinct kinds. The most used accounts for 64.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,03464.0%
👍79525.0%
🔥2578.08%
🙏371.16%
💯290.912%
😢240.755%
custom 539760080665445337010.031%
😁10.031%
😱10.031%

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 29 of the 29 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 3,179 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 4 June 2026 to 28 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
5
of 29 we hold a reading for · 17%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @drtravkin. 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 29 most recent posts we hold for this entry, published 4 June 2026 to 28 August 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

28 Aug 2026, 06:25 UTC841 views70 reactionsread 29 August 2026

Как усилить антидепрессант Антидепрессанты помогают не всем. Проблема лечения такой устойчивой депрессии остаётся довольно острой. И если антидепрессант не помогает, то одним из вариантов дальнейшего лечения может быть добавление к терапии так называемого атипичного антипсихотика. Это не означает, что у человека обнаружили психоз. Антипсихотики используются не только при шизофрении. Препараты этого класса действи

41👍21🔥8

26 Aug 2026, 05:48 UTC≈1,250 views83 reactionsread 29 August 2026

Антидепрессанты и кишечник Могут ли антидепрессанты негативнт повлиять на пищеварительную систему пациента? Короткий ответ: нет. Антидепрессанты действительно могут вызывать побочные эффекты со стороны желудочно-кишечного тракта. Особенно в начале лечения или после повышения дозы. Но это не означает, что препарат разрушает кишечник и ЖКТ. Более того, при некоторых заболеваниях кишечника антидепрессанты сами испол

59🔥13👍11

23 Aug 2026, 06:13 UTC≈1,680 views116 reactionsread 29 August 2026

Posted without readable text

71👍26🔥19

20 Aug 2026, 06:05 UTC≈2,140 views196 reactionsread 29 August 2026

Зачем мне нужна доказательная медицина? Когда я учился в медицинском университете, я вообще понятия не имел, что существует такое словосочетание — доказательная медицина. Я просто ходил по кафедрам и слушал, что рассказывали преподаватели. Сейчас я понимаю, что многое из того, что они говорили, было довольно сомнительным. Но тогда альтернативной точки зрения найти было негде. Даже когда я пошёл в интернатуру и на

144👍36🔥16

19 Aug 2026, 06:01 UTC≈2,160 views99 reactionsread 29 August 2026

Как не надо лечить депрессию В недавнем посте я рассказывал про рекуррентную депрессию — состояние, при котором депрессивные эпизоды повторяются. Иногда это действительно особенность самого расстройства: депрессия может рецидивировать даже тогда, когда лечение проводилось правильно. Но бывает и так, что повторные эпизоды связаны с вполне конкретными ошибками терапии. Первая ошибка — слишком короткий курс антидепре

👍6925🔥4😢1

18 Aug 2026, 06:21 UTC≈2,070 views88 reactionsread 29 August 2026

Posted without readable text

51👍24🔥12😁1

15 Aug 2026, 07:27 UTC≈2,510 views117 reactions1 Starread 29 August 2026

Рекуррентная депрессия Большинству пациентов с депрессией диагноз, который я пишу в заключении, звучит как «рекуррентное депрессивное расстройство». И у многих сразу возникает вопрос: что же значит слово «рекуррентное»? Но сначала коротко о том, что такое депрессивный эпизод. Это период, во время которого у человека снижено настроение, пропадает интерес и удовольствие от того, что раньше радовало, не хватает энерг

79👍28🔥10

12 Aug 2026, 09:54 UTC≈2,700 views64 reactionsread 29 August 2026

Кветиапин Кветиапин — один из самых известных и одновременно самых неоднозначно воспринимаемых препаратов в психиатрии. В зависимости от дозы он может давать совершенно разные клинические эффекты и применяется при разных психических расстройствах. В новом посте разбираю: — как работает кветиапин; — почему эффект зависит от дозы; — при каких расстройствах его используют; — какие побочные эффекты встречаются; — что

42👍22

10 Aug 2026, 07:23 UTC≈3,120 views109 reactionsread 29 August 2026

ОКР и ОКРЛ: в чем сходство и отличия? В психиатрии есть два диагноза, которые звучат очень похоже и даже внешне могут выглядеть одинаково, но по структуре сильно отличаются. Это обсессивно-компульсивное расстройство — ОКР — и обсессивно-компульсивное расстройство личности — ОКРЛ. И там, и там можно увидеть перфекционизм, стремление к контролю, повышенное внимание к деталям и определенную ригидность, упрямство. Но п

73🔥19👍15💯1custom 53976008066544533701

31 Jul 2026, 06:33 UTC≈3,160 views109 reactionsread 29 August 2026

Венлафаксин: разбор препарата Венлафаксин — один из самых эффективных антидепрессантов при тревоге и депрессии. Но вокруг него много мифов: что он «слишком тяжелый», вызывает сильную зависимость или подходит только в крайних случаях. В этом посте разберем: • когда венлафаксин действительно помогает; • чем он отличается от других антидепрессантов; • какие побочные эффекты встречаются чаще всего; • почему его важно п

72👍37

29 Jul 2026, 09:46 UTC≈3,170 views101 reactionsread 29 August 2026

Деперсонализация и дереализация: симптомы, диагностика и лечение Довольно сложное для описания, но очень часто встречающееся состояние в психиатрии Деперсонализация — устойчивое чувство отстранённости от себя: тела, мыслей, эмоций. Пациенты говорят, что «как будто наблюдаю за собой со стороны». Дереализация — ощущение нереальности окружающего мира: люди и предметы кажутся туманными, «ненастоящими», как во сне. Эт

73👍25🔥3

23 Jul 2026, 11:02 UTC≈3,500 views188 reactionsread 29 August 2026

Депрессивный тип личности Представьте себе вечно недовольного человека. Не важно, что происходит — на его лице крайне редко бывает улыбка. Случаются периоды, когда кажется, что он изменился, но длятся в лучшем случае они не больше пары месяцев. А потом он снова начинает жаловаться на все подряд. Он часто бывает раздражен, ему все время не хватает энергии, мотивации, сил. Те, кто помнят его с ранних лет, говорят, ч

131👍40🔥15💯2

Showing the 12 most recent of 29 posts we hold for @drtravkin. 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

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 4 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.

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.

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.

Психотерапевт Прибытков
@pribytkov_psy · 39,832
Telegram ranks this channel #7 of 97 here — alongside 96 others — read 30 August 2026
dnevnikdoctora
@dnevnikdoctora · 45,066
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 27 August 2026
Пей таблетки! | MedIQLab
@mediq · 66,039
Telegram ranks this channel #20 of 93 here — alongside 92 others — read 21 August 2026
Доктор Курпатов
@kurpatov_chtodelat · 33,358
Telegram ranks this channel #28 of 90 here — alongside 89 others — read 4 September 2026
Доктор Сычев
@dr_sychev · 49,023
Telegram ranks this channel #31 of 94 here — alongside 93 others — read 26 August 2026
Алексей Красиков®️️️🍀
@krasikovAlexey · 41,205
Telegram ranks this channel #41 of 89 here — alongside 88 others — read 29 August 2026
Гастроэнтеролог Лопатина М.В.
@gastrogram · 36,979
Telegram ranks this channel #54 of 99 here — alongside 98 others — read 1 September 2026
Пенкин Егор - Здоровое будущее
@fit_therapy · 79,435
Telegram ranks this channel #60 of 91 here — alongside 90 others — read 18 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич
@ag_kharitonov · 58,929
Telegram ranks this channel #62 of 99 here — alongside 98 others — read 22 August 2026
Дерматология Быканова
@dr_bykanov · 62,430
Telegram ranks this channel #68 of 97 here — alongside 96 others — read 21 August 2026
Дерматоонколог Бейнусов
@dmitry_beinusov · 31,462
Telegram ranks this channel #70 of 95 here — alongside 94 others — read 6 September 2026
Терапевт & Гастроэнтеролог
@doctor_sitkina · 42,156
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 29 August 2026
Максим Кузнецов - Врач эндокринолог
@medic_smith · 148,075
Telegram ranks this channel #72 of 98 here — alongside 97 others — read 13 August 2026
̶Д̶о̶к̶т̶о̶р̶ Андрей Курпатов
@kurpatov_tg · 71,294
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 20 August 2026
Страшная химия
@chemistrybyolga · 32,895
Telegram ranks this channel #78 of 91 here — alongside 90 others — read 4 September 2026
Blog Kardiologa 🩺
@blog_kardiologa · 137,258
Telegram ranks this channel #80 of 96 here — alongside 95 others — read 13 August 2026
Бородатый не пробовал | доктор Бурлаков
@doc_burlakov · 34,452
Telegram ranks this channel #81 of 94 here — alongside 93 others — read 3 September 2026
ДОКТОР ХАН
@doctorkhanstanislav · 56,783
Telegram ranks this channel #82 of 97 here — alongside 96 others — read 23 August 2026
Нефролог I Данила Пыриков
@pyrikov · 67,585
Telegram ranks this channel #82 of 98 here — alongside 97 others — read 20 August 2026
Гастроэнтеролог Саша
@gastrosasha95 · 40,285
Telegram ranks this channel #90 of 94 here — alongside 93 others — read 30 August 2026

This channel appears in 20 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 September 2026 — this entry's latest reading, not the date you are reading this.

“Доктор Травкин” (@drtravkin), 10,119 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/drtravkin.

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.