Автор книги БИОХАКИНГ ДЕТИ
Консультации, курсы через сайт
https://drcheetanava.com
Ассистент Екатерина WA/ТГ/Мах
+79657699179
Служба заботы Вера WA/ТГ/Мах
+79384706370
Сотрудничество Анастасия Мах/ТГ
+79527595887
Реестр РКН: https://clck.ru/3G3iKv
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
63 measurements spanning 95 days, net -373. 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 33,532–34,175 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
9 Nov 2026, 22:07
33,728
+33
8 Nov 2026, 11:16
33,695
+64
7 Nov 2026, 07:19
33,631
-6
6 Nov 2026, 09:40
33,637
-8
5 Nov 2026, 12:51
33,645
-3
4 Nov 2026, 09:17
33,648
-4
3 Nov 2026, 06:17
33,652
-5
2 Nov 2026, 07:46
33,657
-2
1 Nov 2026, 09:16
33,659
-19
31 Oct 2026, 08:28
33,678
-13
30 Oct 2026, 06:47
33,691
-15
29 Oct 2026, 05:58
33,706
+18
28 Oct 2026, 07:26
33,688
+7
27 Oct 2026, 10:48
33,681
+67
26 Oct 2026, 11:09
33,614
+8
25 Oct 2026, 13:10
33,606
-15
24 Oct 2026, 15:48
33,621
-12
23 Oct 2026, 12:45
33,633
-4
22 Oct 2026, 11:54
33,637
-10
21 Oct 2026, 03:06
33,647
first reading
Engagement
147 posts held, back to 3 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 175 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.41%
avg views ÷ 33,728 subscribers
Avg views / post
1,490
51 posts measured
Reaction rate
2.64%
reactions ÷ views · ER floor
Posts in window
51
of 147 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 11 November 2026
Posts held
147 (3 August 2026 – 11 November 2026)
Views total
75,806
Reactions total
2,000
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:05 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
≈8,520
Videos
≈3,220
Links
≈1,290
Lifetime counters from Telegram’s own channel header, read 11 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
25m 13s
Average length
29s
Measured directly from 52 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
6,280 reactions across 146 posts, in 10 distinct kinds. The most used accounts for 67.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,212
67.1%
🔥
1,082
17.2%
👍
535
8.52%
🙏
193
3.07%
custom 5260584774317124661
83
1.32%
🎉
62
0.987%
😱
53
0.844%
🤩
41
0.653%
🤗
10
0.159%
🤔
9
0.143%
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 147 of the 147 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 6,280 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 147 most recent posts we hold, published 3 August 2026 to 11 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
1
across the posts below
Posts paid on
1
of 147 we hold a reading for · 0.7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @annacheeta. 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 147 most recent posts we hold for this entry, published 3 August 2026 to 11 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
1.36%
2 of 147 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,580
over 2 measured posts
Median views · rest
1,740
over 145 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
2Vtzquvbwd6
1
30 September 2026
30 September 2026
2VtzqvJdCsu
1
11 August 2026
11 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 147 most recent posts we hold, published 3 August 2026 to 11 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 51 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).
☕️ Почему одна чашка кофе бодрит соседа, а у вас вызывает тремор и тревогу?
Или почему популярные аптечные витамины у кого-то мгновенно поднимают энергию, а у вас не меняют ровным счётом ничего?
Всё дело в генетических особенностях. Например, за «неработающие» витамины группы B часто отвечает банальная поломка в фолатном цикле. Обычные формы добавок из масс-маркета в таком случае просто не усваиваются вашим организ…
Ура, ура, ура! 🥳
Мы продублировали всю информацию из «Карманного справочника по детскому здоровью» и «Карманного справочника по здоровью взрослых» на платформу GetCourse. Теперь вы можете изучать материалы с комфортом, абсолютно независимо от того, работает у вас VPN или нет.
Подробный перечень тем обоих справочников представлен на фото выше ⬆️
Это очень удобный инструмент: при возникновении той или иной проблемы у…
Чем опасна косметика из маркетплейсов и как не наткнуться на подделку? 🤔
Сегодня один и тот же крем или сыворотку на онлайн-площадках могут предлагать десятки разных продавцов. При этом низкая цена, высокий рейтинг и сотни восторженных отзывов, увы, больше не гарантируют, что перед вами оригинал.
Как врач превентивной медицины, я смотрю на эту проблему глубже, чем просто на «выброшенные деньги». Поддельная косметика…
Надпочечники - это мои слабые места. И на фоне того, как я сильно стрессанула из-за той ситуации с Соней, потому что ребенок плачет, мои руки в крови, ее одежда в крови. Мне приходится буквально доказывать врачу, что ребенка не нужно класть на операционный стол под наркоз и зашивать 🤯
В общем, стессанула я знатно! И на моем теле это может выражаться сразу плохо проходящими следами от одежды, от носков. И знаете, поч…
Сдали ДНК-тест, получили огромную «книгу» про себя и... отложили её на дальнюю полку?
Знакомая картина: расшифровка генетики обещает раскрыть все тайны организма, но на деле вы получаете сотни страниц со сложными терминами. И совершенно непонятно, что с этим делать в реальной жизни. Какую омегу покупать? Какое мясо исключить? Какие дефициты закрывать в первую очередь? 🤔
Генетика - это не приговор и не просто «интер…
РАСПРОДАЖА с 8 по 13 НОЯБРЯ! На все продукты из списка будет действовать скидка в 20% по промокоду NUTRI20 🥳
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➡️ Персональный интегративный ДНК-рабор - это глубокая расшифровка вашей генетики с составлением индивидуального гайда по питанию, восполнению дефицитов и анализам на всю жизнь. Всего 11 мест!
Вот полный список продуктов, участвующих в акции ⬇️
Курсы:
✔️ Базовый модуль. Б…
Новое видео 📹
🟢 Сбивать температуру или нет?
🟢 Зачем можно и нужно использовать жаропонижающие?
🟢 Для чего на самом деле мы пьем препараты, типа парацетамола и ибупрофена?
🟢 Какой из них лучше и как правильно их использовать?
Смотрите новое видео по ссылкам ⬇️
😉 YouTube
😄 VK видео
☺️ Dzen
И вот случилась беда 🥺
Пока мы пытались купить билеты в океанариум, а оплата почему-то не проходила, дети начали бегать. Соня споткнулась прямо перед лестницей и упала лбом на ступеньки 🤯 Их там было всего две, сделанные из какой-то плитки, и дочь ударилась прямо об острый край между ними. Соня сильно разбила лоб, задев крупный сосуд. Крови было очень много((
Мы приехали в больницу, где мне заявили, что ребенка нуж…
У нас случился успешный успех: мы нашли русский магазин в Китае и купили там гречку, по которой, честно говоря, уже очень соскучились 🥹
Людей вокруг огромное количество, и я понимаю, что так или иначе всё равно всегда анализирую прохожих. Привет, врачебное образование 😅 И, конечно, не всегда результаты моего анализа благоприятны.
К нам подходил парень - пытался продать какие-то чистящие средства для одежды. И я зам…
Знаете, когда в моей жизни все по-настоящему изменилось? Когда я перестала ждать быстрых результатов и просто начала каждый день делать шаги к тому, чего действительно хочу.
Многие вокруг говорят: «Повезло!».
Повезло с хорошими волосами, внешностью, самочувствием. Повезло быть блогером, повезло быть врачом. Повезло иметь послушных и занятых своими делами детей, повезло, что они редко болеют. Повезло с фигурой, с муж…
Это приключение можно было назвать «В поисках еды в Китае» 😁
Даже в «Макдоналдсе» гамбургеры какие-то странные, не говоря уже о том, что здесь едят огромное количество морских гадов. А мой муж вообще не ест рыбу и морепродукты 🤪
Кое-что нам все-таки удалось найти. Правда, ценник был конский, так как это европейские продукты. А мне ведь кто-то из друзей говорил, что в Китае питаться дешево! Но, судя по всему, дешево…
«Инсулинорезистентность и преддиабет: от молекулярных механизмов до персонализированного рациона»
С этой темой я буду выступать на масштабной онлайн-конференции «Нутри Саммит 3.0», которая пройдет 11, 12 и 13 ноября.
За 3 дня опытные врачи, нутрициологи, anti-age эксперты поделится реальными протоколами, разборами кейсов и инструментами, которые вы сразу сможете применить в работе с клиентами - без воды, лишней тео…
🔥20
Showing the 12 most recent of 147 posts we hold for @annacheeta. 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
@annacheeta edited 1 post 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
30 September 2026
Most recent edit
30 September 2026
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.
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.
Алла, крестная мать биохакинга @alla_dietolog · 13,156#1
Эксперт по предназначению |Ведический астролог | Анастасия @gen_pasport · 2,988#90
Read from Telegram’s recommendation API, most recently 3 September 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.
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ @mazaevdoc · 36,219 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 1 September 2026
📚О правах детей и родителей📚 Alina_malina_pravo @malina_pravo · 25,062 Telegram ranks this channel #7 of 81 here — alongside 80 others — read 15 September 2026
Доктор Владимир Попов | detsdoc @detsdoc · 58,221 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 22 August 2026
Магеря Чистка @mageryachistka · 155,468 Telegram ranks this channel #9 of 85 here — alongside 84 others — read 12 August 2026
Эндокринолог Магеря @magerya · 284,924 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 10 August 2026
Химия Пищи/Биохакинг/ А.Родионова @ximiya_tasya_ro · 24,184 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 16 September 2026
Док_Магомедова/Doc_Magomedova @doc_magomedova777 · 69,341 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 20 August 2026
Helena Kornilova / Елена Корнилова @helenkornilova · 181,777 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 12 August 2026
Evstigneeva_gastro @evstigneeva_gastro · 19 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 11 September 2026
Валентина Жукова @nutriciologzhu · 38,622 Telegram ranks this channel #14 of 81 here — alongside 80 others — read 31 August 2026
Доктор Марина Мальцева|🌿Интегративная медицина @mvmaltseva · 39,884 Telegram ranks this channel #14 of 82 here — alongside 81 others — read 30 August 2026
Доктор Виктория Орлинская @cardiodokstories · 162,227 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 12 August 2026
Эндокринолог Либеранская @liberanskaya · 25,618 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 14 September 2026
🦋 Библиотека АИТ @ms_hashimoto · 19,526 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 1 October 2026
Алиса Басеева | Здоровье детей @alisabaseevadoc · 58,012 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 22 August 2026
Ксения Машкина @dr_mashkina · 74,003 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 19 August 2026
Валентина Магеря @valentina_magerya · 32,804 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 4 September 2026
Заметки невролога Овсянникова КС @zametki_nevrologa · 72,044 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 20 August 2026
Doclana.mornatural @doclana_mornatural · 31,945 Telegram ranks this channel #20 of 80 here — alongside 79 others — read 6 September 2026
ИЗБА МОЛОДИЛЬНЯ @izbamolodilnya · 21,104 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 26 September 2026
Ирина Баранова🇷🇺 Врач anti-age @baranovaia · 31,038 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 6 September 2026
Мигрень СТОП @migreni_stop · 19,472 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 1 October 2026
🌿👩⚕️ Семейный нутрициолог - Доктор Клевцова @doctor_klevtsova · 19,919 Telegram ranks this channel #23 of 87 here — alongside 86 others — read 28 September 2026
Женское здоровье @pro_zhenskoe_zdorovie · 21,190 Telegram ranks this channel #23 of 95 here — alongside 94 others — read 24 September 2026
This channel appears in 63 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Анна Читанава” (@annacheeta), 33,728 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/annacheeta.
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.