11 measurements spanning 24 days, net -80. 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 5,447–5,551 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
31 Aug 2026, 15:15
5,459
-11
28 Aug 2026, 22:36
5,470
-11
25 Aug 2026, 14:26
5,481
-7
22 Aug 2026, 13:02
5,488
-15
19 Aug 2026, 10:58
5,503
-8
16 Aug 2026, 18:12
5,511
-5
13 Aug 2026, 15:26
5,516
-8
10 Aug 2026, 22:12
5,524
-11
8 Aug 2026, 06:22
5,535
-4
7 Aug 2026, 07:30
5,539
no change
7 Aug 2026, 07:29
5,539
first reading
Engagement
24 posts held, back to 10 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 8 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.76%
avg views ÷ 5,459 subscribers
Avg views / post
205
8 posts measured
Reaction rate
0.916%
reactions ÷ views · ER floor
Posts in window
8
of 24 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. It is computed over the 4 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
24 (10 July 2026 – 10 August 2026)
Views total
1,641
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:09 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.
Reaction mix
48 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 81.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
39
81.3%
🔥
5
10.4%
👍
1
2.08%
👏
1
2.08%
🙏
1
2.08%
🥰
1
2.08%
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 14 of the 24 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 48 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 10 July 2026 to 10 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.
The shares total 140%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Разбор ответов:
🔹 Желчь. Горечь во рту по утрам вместе с осветлённым стулом и тяжестью после жирного — ранний маркер застоя желчи, ещё до камней и изменений на УЗИ.
🔹 Щитовидка. ТТГ показывает сигнал гипофиза, а не работу гормона в клетках. Частый сбой — конверсия Т4 в активный Т3 (селен, цинк, железо, кортизол, кишечник). Смотрим Т3 свободный и реверсивный Т3.
🔹 Эстроген. β-глюкуронидаза кишечных микробов «раскон…
Что разбирают на 6-й неделе обучения. Проверьте себя
Есть момент, когда разрозненные знания складываются в систему. У участников «Метода Здоровый Кишечник» он наступает на 6-й неделе из 8 — сейчас как раз она. На этом этапе они впервые собирают протокол пациента целиком: от желчи и ЖКТ до гормонов, в правильном порядке.
Проверьте, на каком вы уровне. Три вопроса из материала недели 👇
🩸 5 ошибок нутрициолога в работе с железом
Ферритин 25, в бланке «норма» — и специалист назначает железо. А это назначение вслепую. Разберём 5 типичных ошибок.
Ошибка 1. Смотреть на гемоглобин. Гемоглобин падает последним. Сначала пустеют запасы — ферритин. Нормальный гемоглобин при ферритине 15 — не «всё хорошо», а поздняя стадия дефицита.
Ошибка 2. Считать «норму» ферритина достаточностью. Лаборатория пишет «нор…
Микробиом «предсказал» темп старения. Что можно говорить пациенту, а что нельзя
Разбор для специалистов: учимся читать первоисточник, а не заголовок.
Новость: «микробиом предсказывает биологическое старение». Громкое заявление.
Смотрим саму работу.
Что реально сделали
Университет Гавайев, 123 участника. Сопоставили состав микробиоты с DunedinPACE — маркером темпа старения по метилированию ДНК. Модель на уровне ви…
Ось кишечник–печень–желчь: когда «гормональная» жалоба лечится желчью
Классика приёма: у пациентки ПМС, отёки во второй половине цикла, раздражительность, болезненные месячные. Звучит как чистая гормональная история. А корень часто в желчи.
И пока не налажен её отток, ни один эстрогеновый протокол не поедет.
Как это связано
Отработанные эстрогены обезвреживает печень и выводит их с желчью в кишечник. Дальше — два …
Отличный повод потренировать главный навык специалиста — читать исследование, а не заголовок.
Новость недели: креатин усиливает противоопухолевый иммунитет. Звучит как сенсация. Идём к первоисточнику — свежая работа UCLA.
Что показали на самом деле
Креатин повышает активность дендритных клеток — тех, что «показывают» опухоль киллерным Т-лимфоцитам и запускают иммунный ответ.
Механизм изящный: креатин работает как …
Лабораторная «норма» показывает одно: серьёзной болезни нет. И всё. Хорошо ли вы себя чувствуете, она не говорит.
Дело в том, как эта норма считается: берут всех, кто сдаёт анализ, и выводят средний диапазон. Но среди сдающих полно людей с неоптимальным здоровьем — и они тоже попадают в «норму». Поэтому есть второй ориентир — оптимум: значение, при котором человек полон сил и энергии, а не просто «не болен». Между «…
Самая частая ошибка — собрать протокол «по жалобам»: тут витамин, там гормон, сверху адаптоген. Пациент пьёт горстями — результата нет.
Потому что протокол это не список баночек, а последовательность. И начинается она всегда с фундамента — пищеварения.
Вот как выстроена система по шагам:
Шаг 1. Метабиотик — фундамент. С него начинается всё: восстанавливаем микробиом и среду в кишечнике.
Это метаболиты полезных ба…
❤3👍1
Showing the 12 most recent of 24 posts we hold for @munn3begining. 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.
Polls
The 6 most recent of 8 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 140%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
У клиентки «идеальный» рацион — много овощей и отрубей, но стало только хуже. При подозрении на СИБР о чём это говорит?
Клетчатка кормит избыточную флору не в том отделе кишечника61%
Клиентка просто мало пьет воды11%
Не хватает пищеварительных ферментов27%
Нужно добавить ещё больше клетчатки1%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 24 most recent posts we hold, published 10 July 2026 to 10 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
Здоровье с Екатериной Новиковой @katerina_dietolog · 50,574 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 25 August 2026
Про здоровье | Наталья Кондакова врач функциональной медицины @nataliakondakova_naturopat · 68,883 Telegram ranks this channel #30 of 93 here — alongside 92 others — read 20 August 2026
Доктор Берг (A+) | кето диета | здоровье | похудение @drBerg · 70,295 Telegram ranks this channel #34 of 91 here — alongside 90 others — read 20 August 2026
Адоньева про похудение @adonevabody · 47,909 Telegram ranks this channel #36 of 73 here — alongside 72 others — read 30 August 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 253,677 Telegram ranks this channel #38 of 92 here — alongside 91 others — read 10 August 2026
UNA.TUNA @unatuna22 · 41,857 Telegram ranks this channel #41 of 80 here — alongside 79 others — read 29 August 2026
Академия Нутрициологии @nsa_academy · 63,785 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 21 August 2026
Эндокринолог ❤️ Ольга Павлова 💊 Диабет @dia_dietolog_olga_pavlova · 59,439 Telegram ranks this channel #53 of 91 here — alongside 90 others — read 22 August 2026
Доктор Анна Читанава @annacheeta · 33,876 Telegram ranks this channel #55 of 90 here — alongside 89 others — read 3 September 2026
Николай Панасюк | Нутрициология | GetFit @nikolay_panasiuk · 37,342 Telegram ranks this channel #64 of 90 here — alongside 89 others — read 1 September 2026
Клуб нутрициологов @miin_ankz · 49,353 Telegram ranks this channel #68 of 97 here — alongside 96 others — read 25 August 2026
Панасюк Николай @getfit_nutrition · 70,429 Telegram ranks this channel #86 of 96 here — alongside 95 others — read 20 August 2026
This channel appears in 12 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 31 August 2026 — this
entry's latest reading, not the date you are reading this.
“УНИВЕРСИТЕТ НУТРИЦИОЛОГИИ” (@munn3begining), 5,459 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/munn3begining.
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.