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Нутрициология от Профессора

@nutrition_prof

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

55,158subscribers

-136 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001897124676
TypeChannel
Username@nutrition_prof
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/nutrition_prof

Growth

55,15855,29455,2266 August 2026 — 55,294 subscribers7 August 2026 — 55,286 subscribers8 August 2026 — 55,276 subscribers9 August 2026 — 55,264 subscribers10 August 2026 — 55,241 subscribers11 August 2026 — 55,226 subscribers12 August 2026 — 55,220 subscribers13 August 2026 — 55,198 subscribers14 August 2026 — 55,180 subscribers16 August 2026 — 55,158 subscribers6 August 202616 August 2026
10 measurements spanning 10 days, net -136. 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 55,138–55,314 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 17:0455,158-22
14 Aug 2026, 23:3455,180-18
13 Aug 2026, 12:0855,198-22
12 Aug 2026, 11:2555,220-6
11 Aug 2026, 12:4755,226-15
10 Aug 2026, 13:4655,241-23
9 Aug 2026, 11:1155,264-12
8 Aug 2026, 09:4055,276-10
7 Aug 2026, 12:3155,286-8
6 Aug 2026, 20:1955,294first reading

Engagement

86 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.79%
avg views ÷ 55,158 subscribers
Avg views / post
2,640
86 posts measured
Reaction rate
0.743%
reactions ÷ views · ER floor
Posts in window
86
of 86 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 16 August 2026
Posts held86 (3 August 202616 August 2026)
Views total227,392
Reactions total1,690
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 14:29 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

Video runtime
31m 09s
Average length
53s

Measured directly from 35 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

1,690 reactions across 86 posts, in 8 distinct kinds. The most used accounts for 80.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,35580.2%
👏1619.53%
🥰744.38%
372.19%
💊291.72%
🤔171.01%
😁160.947%
🤯10.059%

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 86 of the 86 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 1,690reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 86 most recent posts we hold, published 3 August 2026 to 16 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.

Recent posts

16 Aug 2026, 13:02 UTC542 views10 reactionsread 16 August 2026
Photo

Какао — натуральный антидепрессант ⠀ В зёрнах какао есть флаванолы и теобромин — вещества, которые улучшают кровоток в мозге и стимулируют выработку эндорфинов и серотонина. Именно поэтому чашка какао или кусочек тёмного шоколада часто ассоциируется с чувством уюта и спокойствия. ⠀ Регулярное употребление продуктов из какао связано с улучшением настроения и снижением уровня стресса. 🗣️ @nutrition_prof

9👏1

16 Aug 2026, 08:18 UTC≈1,320 views15 reactionsread 16 August 2026
Photo

Этот фрукт в лидерах по содержанию клетчатки. Только в одном плоде ее шесть граммов, большая часть которой приходится на нерастворимую клетчатку. Причем, нерастворимой клетчатки особенно много в кожуре груш. К тому же груши содержат инулин, что делает этот фрукт мощным натуральным пребиотиком. Полезной грушу делает не только большое количество клетчатки, но и содержащиеся в ней витамины и микроэлементы — к примеру,

114

16 Aug 2026, 05:00 UTC≈1,610 views11 reactionsread 16 August 2026
Video

Иллюзия натуральности 🗣️ @nutrition_prof

9👏2

15 Aug 2026, 21:03 UTC≈1,980 views27 reactionsread 16 August 2026
Photo

Миф или правда? Миф : сырые яйца полезнее вареных Правда: хотя нагревание действительно уменьшает содержание некоторых витаминов, приготовленные яйца не только полезнее, но и безопаснее сырых. Исследования показывают, что белок приготовленных яиц усваивается организмом человека на 90%, а сырых — только на 50%. А витамин В7 вообще может усваиваться только из приготовленных яиц. 🗣️ @nutrition_prof

18👏81

15 Aug 2026, 17:03 UTC≈2,130 views25 reactionsread 16 August 2026
Photo

Разбор продукта. Помидор. Содержит много фолиевой кислоты и альфа-липоевой кислоты, которые хорошо борются с депрессией и тревожностью. Кроме того, альфа-липоевая преобразовывает глюкозу в энергию и стабилизирует настроение 🗣️ @nutrition_prof

17👏5🥰3

15 Aug 2026, 13:04 UTC≈2,200 views13 reactionsread 16 August 2026
Video

Печень и мозг: связь, которую нельзя игнорировать 🗣️ @nutrition_prof

13

15 Aug 2026, 09:02 UTC≈2,220 views10 reactionsread 16 August 2026
Video

Антиоксиданты работают "в команде" 🗣️ @nutrition_prof

10

15 Aug 2026, 05:04 UTC≈2,300 views22 reactionsread 16 August 2026
Photo

Разбор продукта. Базилик. Он богат на Витамин К, который необходим для свертывания крови. Витамин А защищает клетки кровеносных сосудов от повреждения свободными радикалами. Это помогает предотвратить накопление плохого холестерина, что помогает предотвратить атеросклероз, сердечные приступы и инсульт. ⠀ Базилик содержит другие витамины и минералы: железо, кальций, марганец, магний, витамин С и калий, обладает анти

18🥰4

14 Aug 2026, 21:48 UTC≈2,340 views11 reactionsread 16 August 2026
Video

Простой источник клетчатки 🗣️ @nutrition_prof

11

14 Aug 2026, 20:02 UTC≈2,350 views17 reactionsread 16 August 2026
Photo

Чем отличается тростниковый сахар от обычного? В отличие от свекловичного аналога, в тростниковом сахаре обнаружено в 20 раз больше такого минерала, как калий, в 10 раз больше железа и в 85 раз – кальция. Также в данном виде сахара присутствуют представители витаминов группы В, которые способствуют улучшению метаболизма и отвечают за здоровую деятельность организма в целом. Разница ощущается и в органолептических

17

14 Aug 2026, 16:46 UTC≈2,260 views10 reactionsread 16 August 2026
Video

Как уменьшить риски от нитратов в продуктах? 🗣️ @nutrition_prof

🥰63💊1

14 Aug 2026, 15:39 UTC≈2,300 views8 reactionsread 16 August 2026
Photo

Провокаторы – самые жестокие убийцы Такие люди вызывают в вас стресс и тревогу, заставляя отмирать клетки мозга, что приводит к деменции, инсульту и частичной потери памяти В лучших школах КГБ учили техникам "Стального разума" – это когда мозг в принципе отлучается реагировать на раздражители, а привести себя к такому состоянию поможет канал "Больной вопрос" Там рассказывают как мгновенно привести себя в чувства,

💊42😁2

Showing the 12 most recent of 86 posts we hold for @nutrition_prof. 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

Citation-graph rank — 185,209 of 1,481,243entries 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.

Forward network

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 8 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Нутрициология от Профессора” (@nutrition_prof), 55,158 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/nutrition_prof.

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.