Это к теме прошлого поста🤓
😁60
Signed ira b

Channel
@irinashfit
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry
9,791subscribers
-150 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001080777610 |
|---|---|
| Type | Channel |
| Username | @irinashfit |
| Created | 30 October 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/irinashfit |
Health & wellness — 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 11 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 12:19 | 9,791 | -5 |
| 2 Nov 2026, 20:07 | 9,796 | -1 |
| 30 Oct 2026, 23:31 | 9,797 | -5 |
| 28 Oct 2026, 05:00 | 9,802 | -1 |
| 25 Oct 2026, 03:48 | 9,803 | -7 |
| 21 Oct 2026, 22:04 | 9,810 | -1 |
| 18 Oct 2026, 06:59 | 9,811 | -2 |
| 15 Oct 2026, 00:44 | 9,813 | -7 |
| 12 Oct 2026, 00:58 | 9,820 | -20 |
| 5 Oct 2026, 05:18 | 9,840 | -15 |
| 26 Sept 2026, 14:59 | 9,855 | -23 |
| 17 Sept 2026, 22:01 | 9,878 | -4 |
| 13 Sept 2026, 23:21 | 9,882 | -5 |
| 10 Sept 2026, 10:00 | 9,887 | -4 |
| 5 Sept 2026, 04:41 | 9,891 | -7 |
| 1 Sept 2026, 09:15 | 9,898 | -4 |
| 29 Aug 2026, 01:08 | 9,902 | -7 |
| 26 Aug 2026, 07:29 | 9,909 | -6 |
| 22 Aug 2026, 23:27 | 9,915 | -7 |
| 19 Aug 2026, 09:54 | 9,922 | first reading |
28 posts held, back to 16 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 41 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 10 October 2026 |
|---|---|
| Posts held | 28 (16 July 2026 – 10 October 2026) |
| Views total | 2,210 |
| Reactions total | 120 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 08:57 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.
Measured directly from 1 video 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.
967 reactions across 25 posts, in 7 distinct kinds. The most used accounts for 46.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 448 | 46.3% | |
| 👍 | 240 | 24.8% | |
| 🔥 | 144 | 14.9% | |
| 😁 | 126 | 13.0% | |
| ⚡ | 4 | 0.414% | |
| 🤩 | 3 | 0.31% | |
| 🤯 | 2 | 0.207% |
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 25 of the 28 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 967 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 16 July 2026 to 10 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @irinashfit. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 28 most recent posts we hold for this entry, published 16 July 2026 to 10 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 1 of 2 posts held from the last 30 days (50.0%) 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).
Это к теме прошлого поста🤓
😁60
Signed ira b
Продолжим тему. За годы плотной личной работы с вами вижу много вещей, о которых в учебниках по нутрициологии, конечно не пишут. И разные западные эксперты-нутрициологи-блогеры никогда не писали. А я вот пишу 😀 Потому что у вас скорее всего примерно те же проблемы в питании, что и у тех, кто приходит на курс. Так вот. Лет 15 назад начать считать калории было почти интеллектуальным прорывом. До этого люди худели н…
❤39👍13🔥8
Signed ira b
За последний год плотной личной работы с участниками курса я все больше вижу: есть две вещи, которые невозможно игнорировать, никак на них не забить, никак их не обойти между струйками и не хакнуть. Без них система рассыпается, и в следующий приступ желания взяться за себя вы пойдете на новый круг с таким же результатом. Это режим питания и работа с пищевыми импульсами. Пока вы считаете КБЖУ, проблема особо незаме…
❤58👍15
Signed ira b
Курсу «Осанка» ровно год, время летит, прошло 4 потока. После каждого мы смотрели на вашу обратную связь. И за год стала хорошо видна одна проблема. Курс дает отличные результаты, это было видно уже после первого потока сами не ожидали. Сложнее - уже вам дальше самостоятельно поддерживать этот результат. Ну и еще у вас нет времени 🤝 Поэтому мы полностью пересобрали курс, и это должно быть очень круто 🔥 Теперь это…
🔥8❤3
Signed ira b
Друзья, кому интересно/актуально, заходите
Signed ira b
🙂😇😊😊Мастер-класс по стопам проведем во временном чате, чтобы не загружать тех, кому не актуально. Поделаем несколько интересных штук и пообщаемся 👌 Потом все участники получат материалы файлом, а чат удалим. Ссылка на чат https://t.me/+pxO8Cy4AW-8wMDJi
❤5👍4🔥2
Signed ira b
В продолжение темы, достанем кето-диету из пыльного шкафа Прошло 10 лет - и она вернулась туда, откуда и пришла - в лечебные протоколы питания. Раньше на кето были не только лишь все, а сейчас - единицы в общей массе, потому что это не то питание, которое можно держать долго как образ жизни, углеводы настигают рано или поздно)) А медицинские показания - это другое, в основном, они неврологические, и это действител…
👍37❤10
Signed ira b
Ладно, давайте о чем-то более конкретном. Вот например: перебор по калориям = жир. Но насколько важно, чем перебрать по калориям - при одной и той же калорийности? Например, лишний жир из еды легче всего откладывается в жир. К слову, почти весь пищевой жир откладывается в жир каждый день, даже если мы на диете. Жировая ткань - это постоянно работающий обменник: что-то приходит, что-то уходит. Этот механизм нужен дл…
❤26👍9🔥6⚡4
Signed ira b
«Если вес не снижается, значит я что-то делаю не так» Если единственный признак, по которому вы понимаете, молодец вы или нет, – цифра на весах, вы почти неизбежно будете в состоянии полной безнадеги. Даже когда делаете все нормально. Вес тела и количество жира – не одно и то же. Вроде все такое слышали, но одно дело прочитать где-то, другое дело – У МЕНЯ)) Вес реагирует на все вообще. Овуляция – меняется уровень…
❤41🔥18
Signed ira b
Борьба vs порядок в питании Вам может казаться, что у вас сложные отношения с едой. Они, может, и правда сложные. Но если посмотреть на питание в динамике, часто увидим, что все питание устроено именно как борьба. С утра начинается и длится до ночи: не переесть, не съесть сладкое, дотянуть до обеда, не взять добавку, вечером не сорваться, после ужина вообще ничего не есть и тд и тп. В итоге вроде весь день "контро…
❤34👍5
Signed ira b
Если уже есть приличный лишний вес, то у каждого третьего в течение ближайших пяти лет он перейдет в клиническое ожирение Августовское исследование International Journal of Obesity тут посчитало, что расклады примерно такие. Недавно подход к диагностике ожирения серьезно изменили. Теперь смотрят не только на ИМТ, и честно говоря, уже было пора. Потому что два человека с одним ИМТ могут находиться в совершенно разн…
❤32👍10🤯2
Signed ira b
Знаете, что у вас с железом? Гемоглобин, ферритин, ОЖСС, % насыщения трансферрина железом
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤5
Signed ira b
Showing the 12 most recent of 28 posts we hold for @irinashfit. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
@irinashfit 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.
The 2 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.
Знаете, что у вас с железом? Гемоглобин, ферритин, ОЖСС, % насыщения трансферрина железом
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Москвичи, сколько денег тратите на еду на себя?
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 28 most recent posts we hold, published 16 July 2026 to 10 October 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“ЗОЖ по науке | Ира Брехт” (@irinashfit), 9,791 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/irinashfit.
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.