Вот такие благодарные слова я получаю от участниц курса «ВЕКТОР МОЛОДОСТИ» ♥️ Очень ценно 🫶🏻
❤7

Channel
@movemel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Polls · Telegram's recommendations · Cite this entry
20,397subscribers
-411 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001598855651 |
|---|---|
| Type | Channel |
| Username | @movemel |
| Description | Ольга Мелякова - международный эксперт по движению - Осознанное движение и умный фитнес - Красота и молодость через здоровье. - Реклама на канале не размещается |
| Created | Between 1 September 2021 and 31 January 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/movemel |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 10 Nov 2026, 12:46 | 20,397 | -14 |
| 8 Nov 2026, 23:15 | 20,411 | +2 |
| 7 Nov 2026, 15:15 | 20,409 | -4 |
| 6 Nov 2026, 12:54 | 20,413 | -7 |
| 5 Nov 2026, 13:35 | 20,420 | +5 |
| 4 Nov 2026, 14:27 | 20,415 | +1 |
| 3 Nov 2026, 16:24 | 20,414 | -5 |
| 2 Nov 2026, 14:06 | 20,419 | -17 |
| 1 Nov 2026, 12:17 | 20,436 | -7 |
| 31 Oct 2026, 10:35 | 20,443 | -21 |
| 30 Oct 2026, 08:07 | 20,464 | -9 |
| 29 Oct 2026, 08:46 | 20,473 | -9 |
| 28 Oct 2026, 04:30 | 20,482 | -8 |
| 27 Oct 2026, 04:39 | 20,490 | -1 |
| 26 Oct 2026, 06:00 | 20,491 | -3 |
| 25 Oct 2026, 09:30 | 20,494 | +2 |
| 24 Oct 2026, 07:37 | 20,492 | +3 |
| 23 Oct 2026, 09:50 | 20,489 | -11 |
| 22 Oct 2026, 11:34 | 20,500 | -8 |
| 21 Oct 2026, 07:58 | 20,508 | first reading |
69 posts held, back to 3 August 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 74 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 November 2026 |
|---|---|
| Posts held | 69 (3 August 2026 – 10 November 2026) |
| Views total | 23,150 |
| Reactions total | 467 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 03:30 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 11 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.
Measured directly from 19 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.
2,275 reactions across 65 posts, in 18 distinct kinds. The most used accounts for 56.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,279 | 56.2% | |
| 🔥 | 551 | 24.2% | |
| 👍 | 224 | 9.85% | |
| ❤🔥 | 100 | 4.40% | |
| 💯 | 44 | 1.93% | |
| 👏 | 21 | 0.923% | |
| 🍓 | 16 | 0.703% | |
| 🥰 | 13 | 0.571% | |
| 🎉 | 8 | 0.352% | |
| 🙏 | 7 | 0.308% | |
| 👌 | 3 | 0.132% | |
| 💋 | 2 | 0.088% | |
| 🤓 | 2 | 0.088% | |
| ☃ | 1 | 0.044% | |
| 😱 | 1 | 0.044% | |
| 🤗 | 1 | 0.044% | |
| 🤯 | 1 | 0.044% | |
| 🥱 | 1 | 0.044% |
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 65 of the 69 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 2,275 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 3 August 2026 to 10 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzquseAYv | 1 | 1 November 2026 | 1 November 2026 |
| 2VtzqwKu1ki | 1 | 30 October 2026 | 30 October 2026 |
| 2VtzqxWHsF4 | 1 | 31 October 2026 | 31 October 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 69 most recent posts we hold, published 3 August 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 0 of 17 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).
Вот такие благодарные слова я получаю от участниц курса «ВЕКТОР МОЛОДОСТИ» ♥️ Очень ценно 🫶🏻
❤7
Скоро отдельно расскажу, почему работе с шеей я уделяю столько внимания, как она связана с молодостью лица и какие упражнения можно выполнять самостоятельно. ❤️ И ещё сразу поделюсь планами: в ноябре я традиционно буду проводить свой курс «Вектор молодости», который сама прохожу каждый год. Многие мои девчонки тоже возвращаются к нему снова и снова и уже получили прекрасные результаты 😍 А перед курсом я планирую пр…
🔥21👍4❤1
Расскажу, как это устроено у меня. Первое - регулярные тренировки. Пять раз в неделю по 40 минут я уделяю работе со всем телом. Осознанно, грамотно и последовательно. Это мои тренировки в клубе «В ТЕМЕ» 💪 Второе - работа непосредственно с лицом. Ежедневно я уделяю этому буквально 5 минут, иногда 10. Выполняю отдельные упражнения и практики для тех участков, которым нужно больше внимания. Кстати, про эти зоны и сами…
❤13
Осанка влияет на положение головы. Если мы постоянно сутулимся, голова смещается вперед, меняется распределение нагрузки на мышцы. Шея- это своеобразный мост между телом и лицом. Поэтому привычное ее положение отражается на овале лица, линии подбородка и нижней трети лица. Поэтому я считаю, что пытаться работать только с лицом, совершенно забывая о теле - не самая эффективная стратегия. Сначала нам нужно наладить …
🔥4❤2
Итак, делюсь своими «секретами» и рассказываю вам всё поэтапно и максимально честно. Как я ухаживаю за лицом, что делаю сама и каких принципов придерживаюсь уже много лет ❤️ Начну с самого главного. Я всегда говорю, что состояние нашего лица на 70-80 процентов зависит от состояния всего тела. Почему я так считаю? Потому что лицо, шея и тело- это единая система. Они не существуют отдельно друг от друга. Посмотрите к…
❤5🔥5
Есть сомнения, про практически ноль средств в моем лице 😅. Нет, девочки, тут нет лукавства. На фото ВСЕ, что я использую для своего лица. Больше нет вообще ничего у меня - ни массажеров, ни масок каких-то. Уход полностью подобран дерматологом для моей кожи склонной к акне. К косметологу не хожу вообще ни на какие процедуры.
❤3👍2
Когда за плечами годы боли и множество испробованных способов, такие изменения особенно ценны ❤️ И если мы начинаем регулярно заботиться о себе, работать над телом и здоровьем, то изменения отражаются не только на самочувствии, но и на лице. Молодость - это комплексная работа над собой и такие результаты, как у моих девчонок, особенно радуют 🙌.
❤17💯4
Мне очень приятно читать такие сообщения🥹 Девочки, спасибо за ваши комплименты. Знаете, мне и самой нравится, как выглядит моё лицо в 36 лет. При этом я не могу сказать, что прикладываю какие-то огромные усилия для этого. На уход за лицом у меня уходит минимум времени и практически ноль средств. 🤷♀️ У меня нет дорогой косметики, я не хожу на специальные процедуры и уж тем более не делаю никаких манипуляций у космет…
🔥36👍9
Упражнения для тех, у кого болит голова, область шеи и плеч. Эта разминка спокойная, лёгкая, приятная 😍 Я бы не рекомендовала делать ее утром, она вас точно не взбодрит. Зато отлично успокоит и восстановит после тяжёлого рабочего дня или стрессовых ситуаций. Вся практика пройдет лёжа на коврике – наслаждайтесь 😉
❤32👍5
Кажется, я окончательно влюбилась в эту осень! 🍂 Решила немного показать вам красоту вокруг и рассказать, как мне здесь живётся. Климат тут, конечно, со своими сюрпризами 😂. А вы любите осень? И вообще, довольны климатом там, где живёте?
❤41❤🔥1
👉 С возрастом мы теряем не только мышечную массу, но и мышечную мощность - способность быстро включать мышцы и создавать усилие. Это называется пауэрпения. И этот процесс начинается раньше, чем мы замечаем возрастные изменения внешности. Почему в моих тренировках стали появляться flow с гирей? 💪 Потому что это не просто силовая нагрузка. Это работа над силой, координацией, скоростью реакции, когнитивными функциями…
💯31❤17🔥3❤🔥1
«Это была ошибка! Всё, собираю вещи и уезжаю домой!» 😭 Именно такие мысли посещали меня в первые две недели учёбы в американском университете. Особенно после занятий по статистике. Математика, вычисления, цифры - это всё, с чем я всегда была на ВЫ. А тут ещё новая терминология, и всё на английском! На первых занятиях мне хотелось рыдать. Все одногруппники уже имели опыт работы со статистикой, а у меня был абсолютн…
❤53🔥35❤🔥13👍8👏3😱1
Showing the 12 most recent of 69 posts we hold for @movemel. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Что вам интересно узнать?
The shares total 197%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 69 most recent posts we hold, published 3 August 2026 to 10 November 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.
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.
Read from Telegram’s recommendation API, most recently 26 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.
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 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Ольга Мелякова / Умный фитнес и омоложение” (@movemel), 20,397 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/movemel.
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.