Channel
@bzdorov
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
444,401subscribers
-655 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001455503676 |
|---|---|
| Type | Channel |
| Username | @bzdorov |
| Description | Секреты крепкого здоровья! @redcat — реклама t.me/redcatmedia/77 — прайс (коммерция) Ссылка на канал: https://t.me/+z_AvqdhDEUQ2MTUy РКН: https://clck.ru/3RDUQu |
| Created | 9 November 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/bzdorov |
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 100% 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 |
|---|---|---|
| 14 Aug 2026, 00:07 | 444,401 | -78 |
| 12 Aug 2026, 20:33 | 444,479 | -84 |
| 11 Aug 2026, 22:52 | 444,563 | -84 |
| 11 Aug 2026, 01:55 | 444,647 | -85 |
| 10 Aug 2026, 00:31 | 444,732 | -74 |
| 9 Aug 2026, 01:51 | 444,806 | -89 |
| 8 Aug 2026, 04:51 | 444,895 | -68 |
| 7 Aug 2026, 08:08 | 444,963 | -93 |
| 6 Aug 2026, 10:01 | 445,056 | first reading |
60 posts held, back to 2 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 21 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 14 August 2026 |
|---|---|
| Posts held | 60 (2 August 2026 – 14 August 2026) |
| Views total | 687,290 |
| Reactions total | 4,999 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 18:13 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 14 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 26 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.
4,999 reactions across 60 posts, in 4 distinct kinds. The most used accounts for 57.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,882 | 57.7% | |
| ❤ | 1,660 | 33.2% | |
| 🤔 | 335 | 6.70% | |
| 👌 | 122 | 2.44% |
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 60 of the 60 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 4,999reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 2 August 2026 to 14 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.
✨ Магний: почему этот минерал так важен для организма Недостаток магния не всегда связан только со стрессом. Нередко его нехватка бывает связана и с особенностями питания. 📌 Магний участвует во множестве процессов в организме, поэтому важно понимать, зачем он нужен и из каких продуктов его можно получать. Мы в MAX
👍20❤6
🍄 Почему грибы связывают с долголетием? Одна из причин чаще включать грибы в рацион — содержащиеся в них полиамины, особые соединения, которые изучают в связи с процессами старения и долголетием. 🧬 Среди них выделяют спермидин — один из наиболее известных полиаминов. 👴 У людей, достигших очень преклонного возраста, в организме нередко обнаруживают высокое содержание полиаминов. ❤️ Исследования также показывают, ч…
👍35❤11
😟 Что интересного мы знаем о кишечнике? Мы в MAX
👍57❤6
🥦 12 овощей, в которых больше белка, чем вы думаете! Не забудьте подписаться на канал!
👍51❤9
😌 Продукт, который помогает справляться с высоким кортизолом! Мы в MAX
👍80❤8🤔6
🌿 Инжир — настоящая находка для здоровья! 🍈 Эти плоды рекомендуют употреблять для профилактики заболеваний нервной системы, в том числе болезни Альцгеймера, Паркинсона, деменции и других неврологических нарушений. 🥣 Не менее полезен инжир и для желудочно-кишечного тракта. Вместе с финиками он считается одним из эффективных продуктов для очищения кишечника. 🌱 Особого внимания заслуживает кожура — она служит источни…
❤57👍24
🤫 Как понять, что организму может не хватать витамина B12? Мы в MAX
❤24👍12🤔4
🌿 Исландский мох — простой способ приготовить напиток при кашле Сильный кашель может сильно мешать в течение дня. В народных рецептах для облегчения кашля часто используют исландский мох, который можно найти в аптеке. 🥄 Как приготовить: 1️⃣ Возьмите 1 столовую ложку исландского мха. 2️⃣ Залейте 1 стаканом воды. 3️⃣ Доведите смесь до кипения. 4️⃣ Оставьте на горячей плите примерно на 1 час. 5️⃣ Процедите готовый нас…
👍31❤15🤔2
🦶 Ванночка для ног с уксусом и солью — что изменится? Мы в MAX
👍77❤19🤔5
💧 Как недостаток воды влияет на печень? Обезвоживание — это не только чувство жажды. Достаточное количество жидкости важно для нормальной работы организма и процессов восстановления печени. 📌 Ориентировочная суточная потребность в жидкости: 👨 Мужчины — около 3,7 л 👩 Женщины — около 2,7 л 🥤 При этом вся жидкость не обязательно должна поступать именно из обычной воды. Примерно 80% можно получать из напитков — молока…
❤53👍16🤔2
😴 Просыпаться после 7 утра — бесполезно Мы в MAX
👍40❤35🤔14
🧅 Лук каждый день — простая привычка для здоровья Всего несколько ломтиков лука в день могут стать полезным дополнением к рациону. 💚 Почему стоит добавить его в меню? — поддерживает работу иммунной системы; — может положительно влиять на настроение и эмоциональное состояние; — помогает организму в период простуд и гриппа; — способствует более спокойному и качественному сну. 🔬 Лук содержит витамин C, антиоксиданты …
👍55❤18👌7
Showing the 12 most recent of 60 posts we hold for @bzdorov. 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 — 237,502 of 1,345,403entries 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 1 registered channel — 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 25 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Будем здоровы” (@bzdorov), 444,401 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/bzdorov.
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.