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Channel

Азбука Здоровья

@zdorovazbuka

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

37,909subscribers

+397 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001268943978
TypeChannel
Username@zdorovazbuka
DescriptionОдин из лучших каналов по Здоровью Лайфхаки по поддержанию здоровья, фитнес, народная медицина, советы по улучшению физического состояния Регистрации РКН https://clck.ru/3J3QGm Питание, рецепты и полезные блюда, как похудеть без диет. Связь @marknovas
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/zdorovazbuka

Topic

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 10 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@zdorovazbuka/8507 · this entry29 Jul 2026, 15:10 UTC@pulseonreceipt/98429 Jul 2026, 15:19 UTC0.9810 minutes
@zdorovazbuka/8509 · this entry30 Jul 2026, 15:06 UTC@pulseonreceipt/98630 Jul 2026, 15:09 UTC0.982 minutes
@zdorovazbuka/8508 · this entry29 Jul 2026, 15:57 UTC@pulseonreceipt/98529 Jul 2026, 18:39 UTC0.982.7 hours
@zdorovazbuka/8522 · this entry6 Aug 2026, 14:26 UTC@pulseonreceipt/9966 Aug 2026, 14:47 UTC0.9822 minutes
@zdorovazbuka/8511 · this entry1 Aug 2026, 13:19 UTC@pulseonreceipt/9881 Aug 2026, 13:24 UTC0.985 minutes
@zdorovazbuka/8521 · this entry5 Aug 2026, 15:07 UTC@pulseonreceipt/9955 Aug 2026, 15:24 UTC0.9817 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@pulseonreceipt13 (8/8 hand-verifiable sample passed)0.9856 minutesthis entry (13–0)
@japnc7 (7/7 hand-verifiable sample passed)0.957 minutesthis entry (7–0)
@triplehsupplements5 (5/5 hand-verifiable sample passed)0.967 minutesthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 27 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 4 channels, the one whose matching posts we hold earliest is @zdorovazbuka — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

34,32938,13836,233.537,9097 August 202610 November 2026
64 measurements spanning 96 days, net +397. 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 33,758–38,709 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 20:5437,909-61
9 Nov 2026, 09:4937,970-31
8 Nov 2026, 02:5938,001-53
6 Nov 2026, 22:5838,054-41
5 Nov 2026, 22:1638,095-43
4 Nov 2026, 23:3638,138+998
3 Nov 2026, 21:4437,140+1,004
2 Nov 2026, 21:0136,136+975
1 Nov 2026, 21:1535,161-2,464
31 Oct 2026, 17:5737,625-185
30 Oct 2026, 20:5137,810-177
29 Oct 2026, 23:5037,987+311
29 Oct 2026, 03:2137,676-187
28 Oct 2026, 01:2737,863-62
27 Oct 2026, 04:2637,925-111
26 Oct 2026, 03:1638,036+448
25 Oct 2026, 04:2037,588-112
24 Oct 2026, 01:3837,700-123
23 Oct 2026, 02:4937,823-135
21 Oct 2026, 23:2737,958first reading

Engagement

270 posts held, back to 27 July 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 180 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
43.6%
avg views ÷ 37,909 subscribers
Avg views / post
16,500
137 posts measured
Reaction rate
0.112%
reactions ÷ views · ER floor
Posts in window
137
of 270 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 10 November 2026
Posts held270 (27 July 2026 – 10 November 2026)
Views total2,262,800
Reactions total2,536
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 01:42 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
≈5,820
Videos
≈2,560
Links
≈263

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
33m 36s
Average length
25s

Measured directly from 80 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

5,040 reactions across 270 posts, in 10 distinct kinds. The most used accounts for 26.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,33526.5%
👍1,32326.3%
🔥1,22824.4%
😁1,14522.7%
👏30.06%
😱20.04%
🙏10.02%
🤔10.02%
🤯10.02%
🥰10.02%

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 270 of the 270 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 5,040 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 270 most recent posts we hold, published 27 July 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 137 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).

10 Nov 2026, 16:31 UTC≈11,000 views14 reactionsread 11 November 2026
Photo

У плохо спящих уменьшается мозг — по итогам анализа МРТ-сканов учёные обнаружили уменьшение зоны, отвечающей за внимание Изменения нашли при недосыпе, бессоннице, апноэ и лунатизме. Это потенциально объясняет, почему такие люди медленнее реагируют и чаще ошибаются. @zdorovazbuka - подписаться

🔥8❤3😁3

10 Nov 2026, 15:25 UTC≈12,300 views19 reactionsread 11 November 2026
Video

Японцы придумали питьевые коллекционные карточки с энергетиками Вместо кофеина заряд бодрости дают аминокислоты — каждая карточка содержит 12 мл жидкости с аргинином и цитруллином. Обещают, что по эффекту одна порция эквивалентна 0.25 л банке обычного энергетика. Продают коробками по 10 штук за ¥3,780 (₽2,000). @zdorovazbuka - подписаться

😁11❤3👍3🔥2

10 Nov 2026, 14:52 UTC≈13,000 views17 reactionsread 11 November 2026
Photo

ЛЕПЁШКА С СЫРОМ И ЧЕСНОКОМ 📌КБЖУ на 100 г 224/12/8/19 Рецепт Мука рисовая и кукурузная 50/50 90 г Сыр Адыгейский (или другой подобный) 200 г Чеснок 1 зб Кинза 10 г Яйца 4 шт Помидоры 60 г Разрыхлитель на кончике ножа Сыр потереть на терке. Помидоры, кинзу и чеснок и измельчить. Смешать все продукты и взбить блендером. Вылить смесь на сковороду. Накрыть крышкой и жарить 5-7 минут на небольшом огне. @zdorovazbuka - …

❤9😁5🔥3

10 Nov 2026, 13:51 UTC≈14,100 views16 reactionsread 11 November 2026
Video

🌻 Открой дыхание: практика для свободы в рёбрах Чувствуете скованность в рёбрах? Попробуйте мягкую восточную практику для восстановления подвижности. Встаньте на одно колено, опираясь нижней рукой, и на вдохе выполните наклон в сторону. Повторите на другой бок по 15 раз. Усильте эффект: задержитесь в наклоне до 10 секунд и делайте глубокое дыхание в рёбра — так мягко вытягивается весь бок от поясницы до затылка, в…

👍8❤4😁4

10 Nov 2026, 12:49 UTC≈15,400 views16 reactionsread 11 November 2026
Photo

МЕД С КУРКУМОЙ - МОЩНЫЙ ДОМАШНИЙ АНТИБИОТИК 👇 ‼️ Куркума уменьшает воспаление, предотвращает развитие мyтационных клеток, обладает антибактериальным и противогрибковым действием, защищает ДHК, помогает при остеоapтрите, проблемах с печенью, дыханием, борется с болезнью Альцгeймeра. Усиливает влияние куркумы мед. ✅ Ингредиенты: 👉 Порошкообразная куркума - 1 столовая ложка 👉 Мед - 100 г ✅ Приготовление и применение:…

❤9🔥4😁3

9 Nov 2026, 16:40 UTC≈17,400 views22 reactionsread 11 November 2026
Video

Тибетский мини-комплекс для мужчин: здоровье за 3 минуты Мужчины, ежедневная нагрузка требует заботы о теле. Этот короткий тибетский комплекс укрепит спину и восстановит энергию. Начните с полуприседов — мягко разогреют суставы (до 20 раз). Затем сделайте прогибы для расслабления зоны лопаток (10 раз). Завершите упражнением «солнышко», которое развивает гибкость позвоночника (по 5 кругов в каждую сторону). Выполня…

😁10❤7🔥5

9 Nov 2026, 15:48 UTC≈15,900 views25 reactionsread 11 November 2026
Photo

Невероятная польза сушенных яблок 👇 ‼️ Одним из самых популярных во всем мире фруктов является яблоко. Оно обладает богатым составом витаминов и элементов, положительно влияющих на состояние здоровья человека. ✅ Благодаря богатейшему химическому составу яблочная сушка обладает широким спектром полезных свойств для организма: 👉 Оказываем мочегонное действие; 👉 Положительно влияет на кровеносную, нервную и пищеварит…

❤11👍7😁7

9 Nov 2026, 15:04 UTC≈17,300 views22 reactionsread 11 November 2026
Photo

Рецепт для создания полезного меню на всю неделю @zdorovazbuka - подписаться

❤11🔥6👍5

9 Nov 2026, 14:17 UTC≈17,800 views20 reactionsread 11 November 2026
Photo

Чечевица приносит огромную пользу организму 👇 ‼️ Чечевица – полезная бобовая культура. По сравнению с другими бобовыми она содержит больше белка, его более 40%. Этот белок содержит незаменимые аминокислоты, поэтому чечевичная крупа может заменить мясо. А вот жира очень мало, от чечевицы не пополнеешь. ✅ Польза для сердечно-сосудистой системы. 👉 Помогает работе кровообращения, обеспечивая клетки кислородом. 👉 Снижае…

🔥10👍5😁4❤1

9 Nov 2026, 13:16 UTC≈16,700 views23 reactionsread 11 November 2026
Video

Польза самомассажа для печени и кишечника 👍 @zdorovazbuka - подписаться

🔥10😁8👍5

8 Nov 2026, 16:49 UTC≈16,500 views20 reactionsread 11 November 2026
Photo

Продукты, полезные при высоком давлении! 👇 ‼️ Главными помощниками в борьбе с высоким давлением являются флавоноиды — это натуральные антиоксиданты, которые уменьшают ломкость капилляров и нормализуют процесс снабжения мозга кислородом. ✅ В большом количестве эти растительные соединения содержатся в следующих продуктах: — зеленый чай; — вишня; — груша; — яблоко; — арахис; — черника; — черный шоколад. ✅ Для естеств…

🔥10😁5👍4❤1

8 Nov 2026, 16:15 UTC≈18,000 views15 reactionsread 11 November 2026
Video

Точка Хоу-Си: восточная кнопка энергии Точка Хоу-Си (SI-3) — одна из ключевых зон традиционных восточных практик. Она расположена на ребре ладони у основания мизинца и считается точкой, пробуждающей энергию меридиана тонкого кишечника. @zdorovazbuka - подписаться

👍12❤3

Showing the 12 most recent of 270 posts we hold for @zdorovazbuka. 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.

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.

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.

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.

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#24
Реабилитация и спортивная медицина
@cmrvsm_dzm · 892
#25
Бесплатное образование
@free_edu · 306,697
#26
Maruf | Место силы
@truemaruf · 733
#27
Energy class с Джонни ⚡️
@energizerclass · 360
#28
Юлия и 3 футболиста
@nartymova_estetica · 656
#29
Умный Брокколь | Грамотность
@brokoledu · 42,709
#30
Doktor Azizaxon | Tibbiy blog
@doktor_kundaligi_t · 116
#31
Лабораторная диагностика
@labdelo · 1,134
#32
Эрме. Кофейня-кондитерская 💚
@ermemoscow · 605
#33
Английский язык 🇬🇧
@dailyeng · 72,817
#34
svetvnutritebi
@svetvnutritebi · 1
#35
Дневник Нисы 💜
@nisa_nuur · 184
#36
Владислав Мирзонов
@va_mirzonov · 470
#37
Химкинская больница
@hospitalkhimki · 627
#38
АПКО
@apko43 · 285
#39
Волгоградский культурный центр "Управляй мечтой"
@ymechta · 199
#40
Gusarova-style
@Gusarova100 · 175
#41
Администрация Иловлинского района
@ilov_admin · 564
#42
Музейный Центр «Наследие Чукотки»
@chukotkamuseum · 452
#43
Бенидорм Информ
@Benidorm_inform · 4,461
#44
Все что должен знать трейдер🛢️
@vsechtonuznotrede · 282
#45
Владимир Никонов
@NikonovVladimi · 312
#46
MKAN Музыка, жизнь, авторские песни и стихи...
@MKAN2025 · 368
#47
Алексей Сапанюк
@AISapanuk · 1,864
#48
СОСЕДИ Нагорный
@sosedi_nagorny · 316
#49
Администрация Ольховского района
@moyaolhovka · 526
#50
Hardkid boxing
@hardkid_boxing · 327
#51
КУЛЬТУРНАЯ ЖИЗНЬ В ИСПАНИИ
@VidaCultural · 5,956
#52
МАУ "Спортивно-досуговый комплекс"
@mausdk · 530
#53
МООПРЗ.РФ |🏥| MOOPRZ.RU
@mooprz_ru · 706
#54
Ирэна Погонченкова
@iv_pogonchenkova · 218
#55
Паллиативная служба Московской области
@palliativMO · 485
#56
Милена Культуровна
@bogdanovamilena · 306
#57
МОУ СОШ №3 г.о. Стрежевой
@SCHOOL3Strezhevoy · 567
#58
StartsevClub
@KStartsevClub · 761
#59
Ветеринарная офтальмология Комарова Сергея
@vetophtalmologkomarov · 858
#60
Администрация Чернышковского муниципального района
@Chernadmin · 817
#61
«Царьград» – курорт на берегу реки Оки в Серпуховском районе Подмосковья
@tsargrad_k · 1,790
#62
ОФК ZIVERT | #СЕМЬЯ
@ofc_zivert · 724 (as read 31 August 2026)
#63
Чукотка ❤️ Угольные Копи
@ugolnye_kopi · 913
#64
Эпоха нашего СССР
@GoldenUSSR · 4,611
#65
Настоящий Волгоград
@real_vlg · 2,023
#66
𝐃𝐚𝐧𝐢𝐞𝐥 𝐊𝐨𝐛𝐳𝐞𝐯 | Поэзия, Музыка
@house_of_verse · 903
#67
ДДТ "Созвездие" Химки
@xytijbl9yt7 · 574
#68
🇲🇩 Молдавский язык limba moldovenească @moldap
@moldap · 633
#69
360.ru Химки
@himki360 · 5,769
#70
Записки Марка Твена
@mark_twain_tg · 1,580
#71
путь к свету🔥
@the_path_to_light · 193
#72
Мособлдума
@pressamod72 · 5,397
#73
ИЭиУ на связи ☎️
@herzen_iem · 280
#74
Киноскоп
@kinoskopchannel · 20,523
#75
РУССКИЙ СССР
@CCCR_RYSS · 2,291
#76

Read from Telegram’s recommendation API, most recently 31 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.

Таня ППрофи
@profi_tanya · 83,796
Telegram ranks this channel #10 of 79 here — alongside 78 others — read 20 August 2026
Киноскоп
@kinoskopchannel · 20,523
Telegram ranks this channel #17 of 48 here — alongside 47 others — read 24 September 2026
По Фактам
@pofactam_tg · 119,694
Telegram ranks this channel #67 of 76 here — alongside 75 others — read 17 August 2026

This channel appears in 3 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Азбука Здоровья” (@zdorovazbuka), 37,909 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/zdorovazbuka.

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.