Channel
@doctor_zubareva
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
407,808subscribers
-927 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001363092918 |
|---|---|
| Type | Channel |
| Username | @doctor_zubareva |
| Description | - Практикующий доктор превентивной и антивозрастной медицины - Автор серии бестселлеров - Основатель МИФИМ и клиники превентивной медицины Сотрудничество +79161445555 Регистрация в перечне РКН https://clck.ru/3SjLmj |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/doctor_zubareva |
Health & wellness — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 23:23 | 407,808 | -146 |
| 10 Aug 2026, 20:52 | 407,954 | -127 |
| 9 Aug 2026, 23:36 | 408,081 | -264 |
| 8 Aug 2026, 21:16 | 408,345 | -236 |
| 7 Aug 2026, 18:21 | 408,581 | -154 |
| 7 Aug 2026, 07:01 | 408,735 | first reading |
37 posts held, back to 6 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 18 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 37 (6 August 2026 – 12 August 2026) |
| Views total | 280,710 |
| Reactions total | 3,294 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:57 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.
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Measured directly from 11 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.
3,294 reactions across 37 posts, in 12 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,094 | 63.6% | |
| 🔥 | 766 | 23.3% | |
| 👍 | 232 | 7.04% | |
| 🥰 | 47 | 1.43% | |
| 🤬 | 46 | 1.40% | |
| 😢 | 45 | 1.37% | |
| 👏 | 18 | 0.546% | |
| 🤩 | 18 | 0.546% | |
| 😁 | 15 | 0.455% | |
| 😱 | 10 | 0.304% | |
| 🤔 | 2 | 0.061% | |
| 🎉 | 1 | 0.03% |
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 37 of the 37 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 3,294reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 6 August 2026 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctor_zubareva. 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 37 most recent posts we hold for this entry, published 6 August 2026 to 12 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.
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.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqudxTbq | 1 | 6 August 2026 | 6 August 2026 |
| 2Vtzqxdxbbq | 1 | 7 August 2026 | 7 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 37 most recent posts we hold, published 6 August 2026 to 12 August 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.
Открытая лекция от института нутрициологии МИФИМ «Холестерин, тромбы, сосуды. ЧТО ВАЖНО ЗНАТЬ УЖЕ СЕГОДНЯ» В ходе лекции, мы разберем много интересного: 🤩почему все боятся бляшек и тромбов, и как они появляются; 🤩обратимы ли варикоз и геморрой; 🤩как повышенный холестерин может влиять на opгaзмичнocть и эpeкцию; 🤩что означают красные точки на животе; 🤩белые мушки перед глазами — норма или звоночек; 🤩какие факторы по…
❤17🤬1
Video message, posted without a caption
❤9🤬2
Video message, posted without a caption
❤8🤬2
ВЫ ЭТОГО ТОЧНО НЕ ЗНАЛИ ПРО ХОЛЕСТЕРИН! ⬇️ ⠀ 🤍неочевидная причина повышения — инсулинорезистентность Инсулин ⬆️ 👉🏼 печень ⬆️ синтез холестерина. Как правило при ИР — высокие триглицериды, низкие ЛПВП («хороший» холестерин), повышены мелкие плотные ЛПНП («плохой» холестерин) 🤍и🤍неочевидная причина повышение • Высокий уровень гомоцистеина • Постоянный стресс при пассивном образе жизни, где мало физической актив…
❤11🤬2
ДЕСЕРТ, КОТОРЫЙ ОЦЕНЯТ НЕ ТОЛЬКО ВАШИ ВКУСОВЫЕ СОСОЧКИ, НО И ЖЕЛЧНЫЙ ПУЗЫРЬ 🤯 🤩какао — мерная ложка 🤩сироп топинамбура — мерная ложка 🤩урбеч из кешью или другого любимого ореха — мерная ложка 🤩грецкий орех 🤩горький шоколад 🤩Для основы необходимо смешать какао, сироп и пасту. Сформировать основу, как на видео, с небольшим углублением. 🤩В углубление добавить пасту. Сверху положить орех, залить растопленным горьки…
❤81🔥42👍6🤩5😁2
Почему вечером хочется есть, даже если вы не голодны? 😶 Знакомая картина: день прошёл, ужин съеден, а рука всё равно тянется к холодильнику. Или к конфете. Или к чаю с печеньем. Чаще всего это не голод, а: ❓Усталость — организм ищет быструю энергию ❓Стресс — еда как способ успокоиться ❓Привычка — «посидеть с чаем» под сериал Попробуйте вечером вместо перекуса: 🟣выпить тёплую воду с лимоном 🟣сделать 5 минут дыхате…
❤159👍62😱2👏1🤬1
СОЛД-АУТ🔥 ⠀ Двери первого потока клуба «Код женщины» официально закрыты. ⠀ А дальше будет самое интересное и теперь будем смотреть, что произойдёт, когда сотни женщин начнут выбирать себя — каждый день, маленькими шагами🩷 ⠀ Добро пожаловать в «Код женщины». Спасибо всем за доверие 🌷 ________________________ ⚡ Я в МАХ
🔥65❤32🤬3🤩1
Ваша внешность НЕ должна страдать от стресса Ставьте ❤️и сохраняйте 4 привычки, которые помогут уменьшить влияние хронического стресса на организм и внешний вид. 👇🏻 1️⃣Следите за уровнем магния При хроническом стрессе организм расходует его быстрее, а дефицит может ещё сильнее ухудшать переносимость стресса. 2️⃣Спите не менее 7–8 часов Именно во сне организм восстанавливается, а лицо выглядит более свежим и отдо…
❤239🔥20🤬1
А вот как на такое реагирую я⁉️ Если честно — никак. Я бы давно сошла с ума и удалила все социальные сети, если бы пропускала через себя каждый чужой совет и каждое мнение. Потому что в попытках угодить всем я бы просто потеряла РЕАЛЬНУЮ себя. Но у меня есть чёткое представление о том, кто я, какое у меня тело, что мне в себе нравится, а что я хочу изменить. И в первую очередь мне важно НРАВИТЬСЯ САМОЙ СЕБЕ. __…
❤77🔥30👏7🤩3👍2🤬2
Video message, posted without a caption
🔥59❤16👍6🥰2
После моего рассказа о том, какие мне пишут комментарии, вы прислали мне более 5000 (!!!!!) сообщений с прекрасными словами, комплиментами и поддержкой ❤️ Вы лучшие. Но, конечно же, было и 💩💩💩
❤137😁8🤬2👏1
Усталость — это 💜💜норма. Это сигнал ‼️ Если вы просыпаетесь разбитой, даже после 8 часов сна - возможно, дело не в недостатке кофе. Первые шаги к энергии: 1️⃣ Проверьте ферритин (он должен быть не ниже 60) 2️⃣ Проверьте витамин D (цель — 60–80 нг/мл) 3️⃣ Оцените сон: засыпаете до 23:00? Спите в полной темноте? Эти три точки — основа, с которой начинается ваша энергия. А вы просыпаетесь бодрой или разбитой?👇 дели…
❤109🔥35😢5🤬2
Showing the 12 most recent of 37 posts we hold for @doctor_zubareva. 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.
@doctor_zubareva 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.
Citation-graph rank — 104,947 of 1,084,084entries 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.
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.
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.
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.
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 10 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.
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.
This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
2 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Доктор Зубарева / Doctor Zubareva” (@doctor_zubareva), 407,808 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/doctor_zubareva.
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.