Почему всё-таки стоит расставаться с иллюзиями, даже если они помогают? Другие материалы про плацебо: — Почему красное плацебо лучше синего — Чем плоха альтернатива
✍9

Channel
@matveylive
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
6,182subscribers
+34 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001113225643 |
|---|---|
| Type | Channel |
| Username | @matveylive |
| Description | ЗОЖ не должен быть насилием, он должен быть в кайф, без жестких ограничений и преодолений. Каракулова Алена Владимировна ИНН 183402678451 |
| Created | Between 1 February 2017 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/matveylive |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 6 Nov 2026, 07:36 | 6,182 | +10 |
| 3 Nov 2026, 17:20 | 6,172 | -6 |
| 1 Nov 2026, 01:58 | 6,178 | -6 |
| 29 Oct 2026, 11:00 | 6,184 | +5 |
| 26 Oct 2026, 14:07 | 6,179 | -3 |
| 23 Oct 2026, 09:45 | 6,182 | +2 |
| 20 Oct 2026, 14:41 | 6,180 | -6 |
| 17 Oct 2026, 22:20 | 6,186 | -4 |
| 14 Oct 2026, 18:07 | 6,190 | -2 |
| 11 Oct 2026, 05:19 | 6,192 | -7 |
| 4 Oct 2026, 18:35 | 6,199 | +8 |
| 24 Sept 2026, 22:58 | 6,191 | +13 |
| 16 Sept 2026, 16:59 | 6,178 | -2 |
| 12 Sept 2026, 20:21 | 6,180 | +4 |
| 8 Sept 2026, 14:36 | 6,176 | +6 |
| 2 Sept 2026, 21:45 | 6,170 | +3 |
| 30 Aug 2026, 15:15 | 6,167 | -9 |
| 27 Aug 2026, 20:54 | 6,176 | +6 |
| 24 Aug 2026, 16:17 | 6,170 | +12 |
| 20 Aug 2026, 20:13 | 6,158 | first reading |
35 posts held, back to 11 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 14 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 6 November 2026 |
|---|---|
| Posts held | 35 (11 July 2026 – 6 November 2026) |
| Views total | 17,884 |
| Reactions total | 763 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 16:41 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.
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
1,640 reactions across 35 posts, in 17 distinct kinds. The most used accounts for 26.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 435 | 26.5% | |
| 😁 | 392 | 23.9% | |
| 🔥 | 375 | 22.9% | |
| 👍 | 131 | 7.99% | |
| 💯 | 55 | 3.35% | |
| ⚡ | 52 | 3.17% | |
| 🤝 | 51 | 3.11% | |
| custom 4958563601775330153 | 48 | 2.93% | |
| custom 5794068017977496120 | 27 | 1.65% | |
| ❤🔥 | 20 | 1.22% | |
| ✍ | 15 | 0.915% | |
| 🎉 | 11 | 0.671% | |
| 🤔 | 11 | 0.671% | |
| 🥰 | 9 | 0.549% | |
| 💩 | 3 | 0.183% | |
| 🙏 | 3 | 0.183% | |
| 🤣 | 2 | 0.122% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 35 of the 35 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 1,640 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 11 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @matveylive. 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 35 most recent posts we hold for this entry, published 11 July 2026 to 6 November 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: 2 of 11 posts held from the last 30 days (18.2%) 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).
Почему всё-таки стоит расставаться с иллюзиями, даже если они помогают? Другие материалы про плацебо: — Почему красное плацебо лучше синего — Чем плоха альтернатива
✍9
«Медицина всю историю ошибалась — зачем ей доверять? И почему тогда блогер, который рекомендует отказаться от углеводов и пройти антипаразитарную чистку, — шарлатан?» Мне кажется, немало людей мыслят в похожих категориях, поэтому хочу написать об этом пару слов. Чтобы оценить чью-либо ошибку, нас как людей интересуют предпосылки — как именно эта ошибка была допущена. Если вы потеряли деньги, потому что друг посове…
⚡26👍21❤9custom 57940680179774961204🔥3
Наконец-то дошли руки написать о релизе нового фильма Biomachine: https://youtu.be/TPkzYI-BX04?si=8POj0QvudHW4wpZQ Считаю это лучшим фильмом, над которым мы работали, и, возможно, одним из лучших фильмов по заданной теме. Существуют хорошие материалы про когнитивные искажения, есть отличные про научный метод, есть неплохие про ЗОЖ в целом, а также про историю медицины, манипуляции, алармизм и гипердиагностику. Но …
❤73🔥29👍23custom 57940680179774961206
готовим облаву
😁68custom 579406801797749612017❤🔥6👍2
Только что на идиому "сидеть на чемоданах" вышел апдейт
😁45❤19custom 49585636017753301534
Вялов, Дадали, Дзидзария, Терушкин, Семирядов, Петрик, Панасюк, Чёрная, Зубарева, Ковальков, Шишонин, Масгутов, Греков, Халилов, Магеря, Каличенко, Машкина, Черноног, Кармацкий Кого несправедливо обделил вниманием? Собираю тут уникальные фамилии для одной задачки.
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Всё, вода теперь больше не нужна
😁86❤6💯5❤🔥4🔥3custom 49585636017753301531
Вчера был день доказательной медицины. Пожалуй, главная "фишка" доказательного подхода — научное обоснование каждой рекомендации. Не просто "меня учили лечить так" или "так лечат все мои коллеги", а: "используем это вмешательство (лекарство, рекомендацию и пр.), и вот такие у него данные (доказательства)". Сегодня такой подход вышел за пределы медицины — в фитнес-сообщество, нутрициологию, психотерапию и пр. Всё ча…
🔥35👍18❤10
Мы читаем экспертов, потому что они глубоко в теме. Мне кажется, нам важно, чтобы люди, которых мы слушаем/читаем/смотрим, не просто видели информацию, о которой говорят, а были погружены в неё, анализируя её по законам логики, свойственным нашему разуму. Нам важна интеллектуальная работа, проделанная человеком, отчасти потому, что мы сами люди, и нам кажется, что мы понимаем других людей по аналогии с собой. Даже…
❤31🔥19💯6👍1🥰1
Философы более 40 лет назад: ИИ в лучшем случае лишь имитирует понимание, в отличие от человеческого разума! Эксперты сегодня: имитируют понимание с помощью ИИ
😁58💯10custom 49585636017753301531
Пытался дать непредвзятую оценку деятельности NCCIH для материала по фактчекингу. Не получилось) Уже который год хочу про это статью написать, но всё время что-то отвлекает
😁31🤔4👍3custom 49585636017753301532❤1
Смотрю на эту изумительно солнечную, но при этом холодную погоду, и сердце ёкает. Именно в такую погоду мы с другом шатались по городу лет 15 назад, прогуливая пары и ведя квазифилософские беседы обо всём подряд. Именно в такую погоду я впервые прослушивал ГП МРМ, гуляя от кофейни до кофейни. Сидеть и работать сейчас ощущается преступлением, но вот такие правила взрослой жизни. Если у вас тоже хорошая погода, то,…
❤42🥰8👍3❤🔥2🔥2custom 49585636017753301532
Showing the 12 most recent of 35 posts we hold for @matveylive. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 10 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Комфортный ЗОЖ” (@matveylive), 6,182 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/matveylive.
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.