Telegram RegisterThe public register of Telegram
Telegram profile photo for Максим Комаров|Нутрициолог

Channel

Максим Комаров|Нутрициолог

@KomarovFerrum

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

201subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002505419572
TypeChannel
Username@KomarovFerrum
CreatedBetween 1 February 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live31 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/KomarovFerrum

Growth

2012032027 August 2026 — 203 subscribers8 August 2026 — 203 subscribers16 August 2026 — 202 subscribers31 August 2026 — 201 subscribers7 August 202631 August 2026
4 measurements spanning 24 days, net -2. 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 201–203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 16:26201-1
16 Aug 2026, 14:48202-1
8 Aug 2026, 11:19203no change
7 Aug 2026, 19:04203first reading

Engagement

8 posts held, back to 26 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 23 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

94 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 28.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2728.7%
2223.4%
👍2223.4%
❤‍🔥1010.6%
🥰44.26%
🤗33.19%
🌭22.13%
🍓22.13%
🆒11.06%
👏11.06%

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 8 of the 8 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 94 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 26 March 2026 to 23 July 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

23 Jul 2026, 18:53 UTC79 views8 reactionsread 8 August 2026
Photo

🦵 1 кг сброшенного веса = минус 4 кг нагрузки на колени! Исследование, опубликованное в журнале *club82743046 (*Arthritis) & Rheumatism*, показало впечатляющий факт: каждый потерянный килограмм уменьшает нагрузку на коленный сустав примерно на 4 килограмма во время обычной повседневной активности. Почему так происходит? Когда мы ходим, встаём по лестнице или просто двигаемся, колени испытывают нагрузку в несколько

❤‍🔥3👍2🔥21

5 Jun 2026, 09:20 UTC155 views14 reactionsread 8 August 2026
Photo

🥗 5 ЛЁГКИХ И ВКУСНЫХ САЛАТОВ ДЛЯ ЛЕТА ☀️ Когда хочется чего-то свежего, полезного и красивого на тарелке — эти салаты станут настоящей находкой 😍 🥑 Салат с курицей, авокадо и черри Нежная куриная грудка, сливочный авокадо, сочные томаты и пармезан создают идеальное сочетание вкусов ✨ 🧀 Салат с киноа, огурцом и фетой Лёгкий, питательный и богатый белком вариант для обеда или ужина 💚 🐟 Салат с тунцом, яйцом и зелён

7🔥5❤‍🔥2

8 May 2026, 07:19 UTC170 views7 reactionsread 8 August 2026
Photo

Как есть шашлык и не бояться за свой ЖКТ? ❤️❤️❤️ ✅ Маринад на основе кислоты (лимон, гранат, йогурт, уксус, томаты) + травы и специи снижает образование вредных соединений при жарке. Особенно помогают розмарин, тимьян, чеснок, куркума — за счёт антиоксидантов. ✅Не пережаривать до чёрной корки. Чем сильнее обугливание и дым, тем больше гетероциклических аминов и ПАУ — веществ, связанных с воспалением и канцерогенным

4🤗3

5 May 2026, 12:27 UTC135 views9 reactionsread 8 August 2026
Photo

🥗 Тёплый салат с рукколой, запечённой тыквой и курицей Иногда хочется приготовить что-то вкусное и сытное, но при этом сохранить лёгкость после еды и не чувствовать тяжести. На самом деле такие блюда не требуют сложных рецептов или строгих ограничений, гораздо важнее правильные сочетания продуктов и баланс нутриентов. 🥗Этот салат — хороший пример того, как можно собрать полноценный приём пищи, который будет не толь

🥰4👍2🔥2🆒1

3 May 2026, 15:23 UTC139 views12 reactionsread 8 August 2026
Photo

🥩 КУПАТЫ НА ГРИЛЕ: что скрывают этикетки Что мы знаем: «смотрите состав, избегайте Е-добавок, выбирайте натуральное». Но биохимия колбасок сложнее маркетинга. Разбираем то, о чём молчат бренды и не всегда знают даже начинающие нутрициологи. 👇 🔬 БЕЛОК: 14 г ≠ 14 г Не все протеины равны. В колбасках часто смешивают: • Мышечный белок – полноценный аминокислотный профиль, высокая усвояемость • Хрящи/кожа (из мяса механ

👍6🔥4🌭2

21 Apr 2026, 11:34 UTC173 views13 reactionsread 8 August 2026
Photo

🍅Тефтели в томате Филе курицы - 500 г Яйцо - 1 шт Творог 5% - 100 г Репчатый лук - 100 г Соль, перец, чеснок по вкусу Мякоть томатов - 500 г Сыр - 30 г Моцарелла - 30 г Прованские травы Смешать ингредиенты для фарша и сформировать тефтели. Отправить в форму для запекания, добавить мякоть томатов, тертый легкий сыр и моцареллу. Запекать 30 минут при 180 С 🥩 Запеченная индейка Филе индейки - 500 г Творог - 90 г Ша

👍64🔥2❤‍🔥1

9 Apr 2026, 10:31 UTC220 views15 reactionsread 8 August 2026
Photo

❓Сколько смертей можно предотвратить, если люди начнут двигаться немного больше, например, на 5 дополнительных минут умеренной физической активности в день? Этот мета-анализ индивидуальных данных участников объединил данные семи когорт из Норвегии, Швеции и США (всего около 40 000 участников и почти 5 000 случаев смерти), а также отдельно анализировалась база UK Biobank (95 000 человек). ✔️Potential Impact Fraction

6👍6🔥2👏1

26 Mar 2026, 12:35 UTC227 views16 reactionsread 8 August 2026
Photo

Салат нисуаз Ингредиенты: 🟢Тунец замороженный 500г 🟢Картофель беби 200г 🟢Руккола 200г 🟢Яйца перепелиные 10шт 🟢Черри 150г 🟢Маслины 1уп Соус: 🟢Апельсин 1/2шт 🟢Лимон 1/2шт 🟢Горчица 1-2ч.л. 🟢Оливковое масло 2 ст.л. 🟢Соль, перец по вкусу Приготовление: 1.Яйца отварить, почистить. Разрезать пополам. 2.Картофель запечь, разрезать пополам. 3.Черри и маслины разрезать пополам. 4.Тунец приготовить на гриле без масла (я

🔥10❤‍🔥4🍓2

Showing the 8 most recent of 8 posts we hold for @KomarovFerrum. 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 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.

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.

“Максим Комаров|Нутрициолог” (@KomarovFerrum), 201 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/KomarovFerrum.

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.