Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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
64 measurements spanning 94 days, net -1,269. 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 82,123–83,772 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
7 Nov 2026, 17:58
82,313
-17
6 Nov 2026, 19:41
82,330
-17
5 Nov 2026, 15:55
82,347
-29
4 Nov 2026, 14:51
82,376
-18
3 Nov 2026, 13:06
82,394
-9
2 Nov 2026, 16:06
82,403
-10
1 Nov 2026, 17:29
82,413
-13
31 Oct 2026, 19:58
82,426
-28
30 Oct 2026, 16:39
82,454
-1
29 Oct 2026, 19:29
82,455
-15
28 Oct 2026, 21:30
82,470
-28
27 Oct 2026, 22:06
82,498
-31
27 Oct 2026, 00:06
82,529
-24
25 Oct 2026, 22:00
82,553
-17
24 Oct 2026, 21:05
82,570
-27
23 Oct 2026, 20:35
82,597
-20
22 Oct 2026, 19:18
82,617
-30
21 Oct 2026, 15:50
82,647
-22
20 Oct 2026, 12:16
82,669
-18
19 Oct 2026, 10:14
82,687
first reading
Engagement
64 posts held, back to 1 August 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 190 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.49%
avg views ÷ 82,313 subscribers
Avg views / post
4,520
27 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
27
of 64 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 5 November 2026
Posts held
64 (1 August 2026 – 5 November 2026)
Views total
121,920
Reactions total
1,819
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 20:14 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
Photos
≈3,230
Videos
≈1,370
Links
≈692
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
49m 34s
Average length
1m 05s
Measured directly from 46 videos 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
5,367 reactions across 64 posts, in 12 distinct kinds. The most used accounts for 79.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,247
79.1%
🔥
561
10.5%
👍
367
6.84%
👏
80
1.49%
🥰
46
0.857%
😱
36
0.671%
🤔
14
0.261%
👎
10
0.186%
🤩
2
0.037%
🤯
2
0.037%
😁
1
0.019%
😢
1
0.019%
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 64 of the 64 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 5,367 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 1 August 2026 to 5 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
2
across the posts below
Posts paid on
1
of 64 we hold a reading for · 2%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctor_annamama. 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 64 most recent posts we hold for this entry, published 1 August 2026 to 5 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
4.69%
3 of 64 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
7,040
over 3 measured posts
Median views · rest
6,310
over 61 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
2VSb5xrNWn6
1
28 September 2026
28 September 2026
2VtzqxQYmzd
1
21 October 2026
21 October 2026
2W5zFK48NLy
1
10 August 2026
10 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 64 most recent posts we hold, published 1 August 2026 to 5 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: 0 of 27 posts held from the last 30 days (0%) 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).
Девочки, хочу поговорить о больном. Давайте снова про гаджеты 🙈
Бывает: договорились с ребенком, что он играет полчаса. Звонит таймер, а игра не выключается. Что делать? Выключить самой, дать закончить или начать объяснять?
Или каждый разговор про телефон заканчивается ссорой. Вы переживаете, что ребенок станет зависимым от гаджетов, не знаете, что он делает в интернете, волнуетесь, что телефон мешает сну и учёбе. …
Пошла с мужем играть в сквош в беговых кроссовках - и подвернула ногу 🙈 Ночью было очень больно, появился отек, я не могла ходить. К утру стало лучше. Мне повезло: серьезной травмы, похоже, нет. Но связки голеностопа я все-таки повредила, и активный спорт придется отложить на несколько недель.
Хочу поделиться двумя выводами.
Первый - про первую помощь. При растяжении или повреждении связок могут быть боль, чувствит…
Пошли с мужем играть в сквош. Я была в кроссовках для бега и в итоге подвернула ногу 🙈
Кажется, обувь как обувь. Но для разных видов спорта она устроена по-разному: в беге движение в основном прямое, а в сквоше приходится резко тормозить, разворачиваться и перемещаться в стороны. Поэтому для игры нужна обувь, которая подходит именно для таких движений и площадки.
Моя ошибка - решила, что раз кроссовки удобные и спо…
🎃 Что меня по-настоящему пугает как педиатра и маму?
🧙 Нет, не привидения, ведьмы и страшилки на Хэллоуин.
👻 Меня гораздо больше пугают обычные повседневные ситуации, в которых родители часто не видят опасности. А ведь именно они иногда приводят к тяжёлым травмам и вредят здоровью.
🍬 По рекомендациям ВОЗ, свободные сахара должны составлять менее 10% суточной калорийности, а в идеале - менее 5%. Для ребёнка это - …
«После 30 жизнь заканчивается и начинается увядание?». Нам годами продавали этот миф!
А ЧТО, ЕСЛИ ВСЕ НАОБОРОТ?
По данным исследований, после 47 лет мы становимся объективно счастливее!
Почти год я изучаю Healthy aging в своем лектории и вот, что я поменяла:
- Я идеально подобрала домашний уход и у меня наконец больше нет акне
- Наконец я повысила свой уровень ферритина до новых рекомендуемых норм
- Я научилась раб…
🩸 Мне в декабре 44 года и вот, чтобы я сказала себе, если бы мне было 30 лет:
🌷 НЕ СИДИ НА ДИЕТЕ
🌷 БЕРЕГИ СОН
🌷 БЕРЕГИ МЕНТАЛЬНОЕ ЗДОРОВЬЕ
🌷 ПРОХОДИ ЧЕКАП
🌷 НАРАЩИВАЙ СИЛУ МЫШЦ
🌷 ТРЕНИРУЙ СЕРДЦЕ
🌷 ТРЕНИРУЙ УМ
🌷 ЗАЩИЩАЙСЯ ОТ УЛЬТРАФИОЛЕТА
🌷 НАЙДИ ЛЮБИМОЕ ХОББИ
🌷 ЗАВОДИ И БЕРЕГИ ДРУЗЕЙ
❤️ Мы разбираем всю систему заботы о себе в моем женском сообществе:
- 1 тема в неделю (лекция+краткое видеорезюме+практические советы…
🫶🏻 Мы с вами доживем до 90+ лет, и это будут чертовски счастливые, активные годы!
👉🏻 Хватит стереотипов, давайте вместе сохранять молодость! Пора управлять своим возрастом, а не бояться его.
📲Приходите в мое женское сообщество. Это последний набор на ближайшие 3 месяца. Запрыгивайте в последний вагон, чтобы сфокусироваться на своем здоровье.
https://event.annamama.ru/womenhealth
👏🏻 Вы готовы на всё ради своих детей? А заняться собой - готовы?
🌎 Не обязательно менять весь мир для ребенка. Можно поменять свой мир. Подарите своим детям здоровых, энергичных и счастливых себя.
🫶🏻 Да, мы готовы тратить деньги на детское образование, возить на кружки, выбирать лучших врачей, отказываться от своих желаний ради их будущего.
🫀Но почему-то забываем, что здоровая, сильная, активная мама - это огромны…
👇🏻 5 ОШИБОК, КОТОРЫЕ ЧАСТО СОВЕРШАЮТ РОДИТЕЛИ ПРИ ОРВИ
1️⃣ ЖДУТ, ЧТО ВСЁ ПРОЙДЁТ ЗА ТРИ ДНЯ.
🤒 Да, температура и выраженное недомогание, слабость обычно проходят быстро, а вот насморк и особенно кашель могут продолжаться гораздо дольше и это вариант нормы.
2️⃣ ПУГАЮТСЯ, ЧТО РЕБЁНОК СЛИШКОМ ЧАСТО БОЛЕЕТ
🤧 Дошкольники могут переносить 6-10, а иногда и до 12 респираторных инфекций в год. У детей, которые ходят в сад и…
ДЕВОЧКИ, ОБЕЩАЛА ВАМ ПОКАЗАТЬ, КАК Я РЕШИЛА ВОВЛЕКАТЬ ДЕТЕЙ В УБОРКУ ДОМА
ПОЧЕМУ СЕЙЧАС?
✅ Потому что я понимаю, что сейчас это делам под силу
✅ Потому что наш с мужем лимит сил исчерпан (у нас уволилась уборщица год назад)
✅ Потому что считаю, что так они будут меньше мусорить
✅ Потому что пора формировать бытовые привычки
✅ Потому что не хочу, чтобы сыночка вырос корзиночкой, а видел, что в семье распределены быто…
🧠 На выходных мы с мужем сбежали от детей в лес. Погода была ужасная, но очень классно было ненадолго выключиться из ответственности и просто гулять.
Первым делом, когда мы приехали, я позвонила детям. Спросила, чем они заняты и сколько времени провели в гаджетах. Выяснилось, что старшему 16, и он уже не передаёт мне данные об экранном времени. Считается, что в этом возрасте ребенок не обязан отчитываться родителям.…
❤39🔥1
Showing the 12 most recent of 64 posts we hold for @doctor_annamama. 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.
Posts edited after publishing
@doctor_annamama edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 October 2026
Most recent edit
9 October 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @doctor_annamama as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
9 October 2026
Most recent seen missing
9 October 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
2
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@doctor_annamama named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@infoleikoz named in 1 post, 10 October 2026 – 10 October 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 18 August 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.
Заметки детского врача @DrButriy · 137,621 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 13 August 2026
Эффект Бочковой @OlgaBochkovaAcademy · 19,284 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 29 September 2026
MAMA_SINKA @mama_sinka · 40,651 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 29 August 2026
Дневник доктора Белолипецкой @dr_belolipetskaia · 44,212 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 27 August 2026
the_nesya резерв @the_nesya · 32 Telegram ranks this channel #5 of 68 here — alongside 67 others — read 30 August 2026
ninavaccina @ninavaccina · 90,349 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 17 August 2026
Лариса Суркова - larangsovet @larangsovetme · 110,425 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 14 August 2026
Константин Крылов @babydantist · 20,277 Telegram ranks this channel #6 of 75 here — alongside 74 others — read 27 September 2026
👋Osokina_doc детский стоматолог @osokina_doc · 29,770 Telegram ranks this channel #6 of 81 here — alongside 80 others — read 9 September 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 31,819 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 5 September 2026
Невролог Стецкая Татьяна | ️doctor_steckaya 💊🩺 @doctor_steckaya · 32,623 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 4 September 2026
ДОКТОРБЛОГЕР @doctorbloger_live · 38,486 Telegram ranks this channel #6 of 72 here — alongside 71 others — read 1 September 2026
Александр Толмачёв @detlektor · 82,603 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 18 August 2026
ДОКТОР АБАКУМОВ @drabakumof · 144,315 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 12 August 2026
Доктор Молодой @doctor_dmolodoy · 61,442 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 22 August 2026
ЛАЙФХАКИ | ПП РЕЦЕПТЫ | РЕЦЕПТЫ | ПОЛЕЗНЫЕ СОВЕТЫ @mama_2h · 87,106 Telegram ranks this channel #10 of 67 here — alongside 66 others — read 14 August 2026
Dr.Anshina @DrAnshina · 412,971 Telegram ranks this channel #10 of 71 here — alongside 70 others — read 12 August 2026
Екатерина Шрейнер | SchreinerKate | Психолог @schreinerkate_life · 64,178 Telegram ranks this channel #11 of 80 here — alongside 79 others — read 21 August 2026
Людмила Петрановская @lpetranovskaya · 166,719 Telegram ranks this channel #12 of 92 here — alongside 91 others — read 12 August 2026
Нет, это нормально @net_etonorm · 23,159 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 20 September 2026
kattrin @kattrin_official · 27,551 Telegram ranks this channel #13 of 70 here — alongside 69 others — read 10 September 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,027 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 1 September 2026
Nasty Tasty party @nastia_tasty · 31,327 Telegram ranks this channel #15 of 71 here — alongside 70 others — read 6 September 2026
MarysStories @Marys_stories · 31,294 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 5 September 2026
This channel appears in 50 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.
“doctor_annamama” (@doctor_annamama), 82,313 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/doctor_annamama.
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.