Официальный канал Академии EDPRO: Нутрициология
Узнать о программах обучения https://edpro.pw/9xc
Бесплатные курсы: https://edpro.pw/inj
Присоединиться к каналу с бесплатными вебинарами от экспертов EDPRO @edpro_conf_nutr
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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
57 measurements spanning 91 days, net -296. 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 19,977–20,375 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
6 Nov 2026, 13:11
20,033
-3
5 Nov 2026, 11:49
20,036
+3
3 Nov 2026, 15:19
20,033
+6
2 Nov 2026, 13:28
20,027
+4
1 Nov 2026, 16:36
20,023
-62
31 Oct 2026, 14:41
20,085
-22
30 Oct 2026, 12:56
20,107
-20
29 Oct 2026, 12:21
20,127
-18
28 Oct 2026, 11:30
20,145
-14
27 Oct 2026, 11:39
20,159
-5
26 Oct 2026, 09:45
20,164
-7
25 Oct 2026, 12:10
20,171
-2
24 Oct 2026, 10:16
20,173
-10
23 Oct 2026, 08:35
20,183
-3
22 Oct 2026, 06:37
20,186
-1
20 Oct 2026, 21:31
20,187
+1
19 Oct 2026, 18:28
20,186
+1
18 Oct 2026, 15:55
20,185
+1
17 Oct 2026, 16:57
20,184
+2
16 Oct 2026, 18:50
20,182
first reading
Engagement
49 posts held, back to 21 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.22%
avg views ÷ 20,033 subscribers
Avg views / post
445
11 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
11
of 49 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 10 of 11 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 6 November 2026
Posts held
49 (21 July 2026 – 6 November 2026)
Views total
4,897
Reactions total
50
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 03:16 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
≈3,450
Videos
≈185
Links
≈1,130
Lifetime counters from Telegram’s own channel header, read 7 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
2m 42s
Average length
32s
Measured directly from 5 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
196 reactions across 38 posts, in 3 distinct kinds. The most used accounts for 66.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
130
66.3%
🔥
42
21.4%
👍
24
12.2%
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 40 of the 49 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 196 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 21 July 2026 to 6 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 11 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).
К одиннадцати утра уже хочется есть? Проблема в завтраке 🍳
Каша на воде, тост с джемом, кофе на бегу — всё это держит сытость часа полтора. Дальше начинается марафон: печенье у коллеги, батончик из автомата...
Разница между таким утром и спокойным днём — буквально в паре десятков граммов белка.
В карусели — 5 рецептов завтраков с лавашом: по 25–30 г белка в каждом, время сборки 5–10 минут, продукты из обычного маг…
🔥 ЧЁРНАЯ ПЯТНИЦА В EDPRO — главная акция года уже здесь
Тот самый момент, которого ждут весь год. Условия, которых не будет больше нигде и никогда.
На программу «Нутрициология: с нуля до специалиста»:
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Хотите за вечер узнать о питании больше, чем за год чтения статей? Включайте кино 🎬
Собрали 8 фильмов, которые стоит посмотреть каждому консультанту по питанию — и каждому, кто ест 😉
🌟 «Сахар» (That Sugar Film, 2014)
Режиссёр 60 дней ест только «полезные» продукты — йогурты, мюсли, соки. Итог: +10 см к талии, жировой гепатоз, перепады настроения. И ни одной конфеты. Лучший фильм о ловушке скрытого сахара.
🌟 «Двой…
⚡️ УЖЕ ЧЕРЕЗ ЧАС стартует бесплатный вебинар Сергея Вялова «Густой застой: как улучшить отток желчи»
Трансляция пройдет тут
бесплатно | 18:00 по мск
Застой желчи → камни → операция: как не попасть в этот цикл и что делать, если уже находитесь в нем.
🗣 Спикер — Сергей Вялов
— кандидат медицинских наук
— гастроэнтеролог, гепатолог
— более 15 лет практики
— автор медицинских книг-бестселлеров
🔗 Подключайтесь к 18:0…
Почему застаивается желчь: 5 бытовых причин, о которых мало кто думает
Застой желчи звучит как что-то серьёзное и редкое. А на деле его чаще всего запускают обычные повседневные привычки. Хорошая новость: раз причины бытовые — на них можно повлиять.
Разберём главные.
🔸 1. Пропуск завтрака
Желчь копится ночью и ждёт утреннего приёма пищи, чтобы выйти. Нет завтрака — желчь продолжает застаиваться и густеть. Утренни…
🚨 Горечь во рту, тяжесть справа, страх операции на желчном? Бесплатный вебинар 3 ноября
Вы следите за питанием, может быть, пьёте травы или желчегонное…
Но вас всё равно беспокоит:
❌ горечь во рту по утрам
❌ тяжесть или боль в правом подреберье после еды
❌ дискомфорт после жирной пищи
❌ а в заключении УЗИ — «сладж», «перегиб», «дискинезия» или уже камни
Застой желчи развивается тихо и по одной схеме: застой → сгущ…
Сергей Вялов лично приглашает вас на вебинар 👆
Если вас беспокоит горечь во рту, тяжесть в правом боку после еды или в заключении УЗИ появились слова «сладж», «перегиб» или «камни» — посмотрите это короткое видео. Доктор рассказывает, что вас ждёт на эфире.
«Густой застой: как улучшить отток желчи»
📅 3 ноября, 18:00 мск
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На вебинаре доктор Вялов простыми словами разберёт:
▸ 5 причин застоя желч…
«Я на всякий случай убрала глютен» — фраза, которая стоит дороже, чем кажется 💥
👻 В Хэллоуин принято бояться понарошку. С едой так не работает.
Потому что пищевые страхи стоят вполне реальных денег (безглютеновая полка — самая дорогая в магазине), реального удовольствия от еды и — вот это уже серьёзно — иногда реального здоровья.
Схема всегда одна: есть состояние, которое касается 1–2% людей. Дальше оно превращает…
Самое жуткое в Хэллоуине — это то, что происходит с тыквой 30 октября вечером 🎃
Признайтесь: вы тоже это делали.
Купили тыкву. Полчаса героически вырезали зловещую рожицу. Гордо сфотографировали. Поставили свечку. А через три дня выкинули всё вместе — и «внутренности», и сам фонарь.
Между тем в ведро отправился один из самых недооценённых сезонных продуктов 🎃
В новой карусели — тыква без мишуры и пряных латте, то…
Пьёте коллаген, но не видите результата? Возможно, вы пьёте не тот, не так и не столько 🤔
Коллаген — самый распространённый белок в организме. Это каркас кожи, костей, хрящей, связок, сосудов. И начиная с 25–30 лет его выработка падает примерно на 1% в год. К 50 годам — потери ускоряются из-за гормональных изменений, особенно у женщин в менопаузу.
👆 В карусели — разберём по полочкам: какой бывает, зачем нужен и как…
Showing the 12 most recent of 49 posts we hold for @academy_nutrition_edpro. 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
@academy_nutrition_edpro 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
10 August 2026
Most recent edit
10 August 2026
Mentions
Named by 2 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.
EDPRO: Академия онлайн-образования @edpro_dpo · 1,362#1
Академия психологии и коучинга | EDPRO @edpropsychology · 2,990#2
Активности EDPRO | конференции, вебинары @edpro_conf_nutr · 5,996#3
Read from Telegram’s recommendation API, most recently 28 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.
Предзапись в институт МИФИМ 🎓 @doctor_zubareva_brand · 18,984 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 1 October 2026
Академия Нутрициологии @nsa_academy · 62,994 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 21 August 2026
Рецепт по фигуре @recept_po_figure · 44,950 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 27 August 2026
Елена Беляева |Женский фитнес с научным подходом| Fitness_s_baby @fitnesssbaby · 29,234 Telegram ranks this channel #28 of 80 here — alongside 79 others — read 8 September 2026
Клуб МИИН @miin_ankz · 51,645 Telegram ranks this channel #32 of 97 here — alongside 96 others — read 25 August 2026
МИФИМ ИНСТИТУТ НУТРИЦИОЛОГИИ @zubareva_onlinee · 20,084 Telegram ranks this channel #34 of 89 here — alongside 88 others — read 27 September 2026
🌱🥑 Детокс - канал DR.SHEFOVA @shefova_detox · 31,125 Telegram ranks this channel #35 of 71 here — alongside 70 others — read 6 September 2026
УПДН | Университет диетологии и питания @shkola_dietologov · 20,237 Telegram ranks this channel #45 of 81 here — alongside 80 others — read 27 September 2026
UniProf для врачей @uniprof_med · 31,744 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 5 September 2026
Доктор Берг (A+) | кето диета | здоровье | похудение @drBerg · 69,564 Telegram ranks this channel #57 of 91 here — alongside 90 others — read 20 August 2026
Панасюк Николай @getfit_nutrition · 69,668 Telegram ranks this channel #57 of 96 here — alongside 95 others — read 20 August 2026
This channel appears in 11 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Академия EDPRO: Нутрициология” (@academy_nutrition_edpro), 20,033 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/academy_nutrition_edpro.
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.