Умный гардероб для любого случая и настроения 🤍
Оплата только через официальный сайт m-reason.ru/tg
Мы в ВК: https://vk.com/mreason
Мы в MAX: https://max.ru/mreasonofficial
Наши менеджеры: @MReason_IM
PR: @m_reason_direct
РКН: https://clck.ru/3T8tBL
Created
Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
8 measurements spanning 5 days, net -60. 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 14,047–14,125 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 10:58
14,056
-16
11 Aug 2026, 14:14
14,072
-3
10 Aug 2026, 14:54
14,075
-15
9 Aug 2026, 17:03
14,090
-7
8 Aug 2026, 15:24
14,097
-7
7 Aug 2026, 14:45
14,104
-12
7 Aug 2026, 09:00
14,116
no change
7 Aug 2026, 08:55
14,116
first reading
Engagement
11 posts held, back to 2 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.96%
avg views ÷ 14,056 subscribers
Avg views / post
1,400
11 posts measured
Reaction rate
2.96%
reactions ÷ views · ER floor
Posts in window
11
of 11 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
11 (2 August 2026 – 12 August 2026)
Views total
15,397
Reactions total
456
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 02:09 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
Photos
≈3,710
Videos
≈436
Links
≈1,170
Lifetime counters from Telegram’s own channel header, read 13 August 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.
Video runtime
14s
Average length
7s
Measured directly from 2 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
456 reactions across 11 posts, in 19 distinct kinds. The most used accounts for 43.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
196
43.0%
👍
62
13.6%
🔥
60
13.2%
👏
53
11.6%
❤🔥
17
3.73%
😍
14
3.07%
💯
13
2.85%
💘
7
1.54%
🎉
6
1.32%
💋
6
1.32%
🙏
5
1.10%
🆒
3
0.658%
😁
3
0.658%
🤩
3
0.658%
🍾
2
0.439%
💅
2
0.439%
🥰
2
0.439%
🏆
1
0.219%
😱
1
0.219%
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 11 of the 11 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 456reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 2 August 2026 to 12 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.
Есть вещи, которые становятся дорогими сердцу совсем не из-за своей стоимости.
Мы храним их потому, что они напоминают о человеке, который их подарил, о дне, в который хочется возвращаться, о мгновениях, что никогда не повторятся.
Коллекцию Осень’26 мы создавали с надеждой, что однажды каждый новый образ обрастет воспоминаниями, которые станут поводом остаться с вами надолго.
Начать собирать свои маленькие реликви…
Мы верим, что гардероб пишется временем и деталями.
Так классический костюм становится становится чистым листом, а акценты кроя — собственным почерком. Они могут быть едва заметны, но именно им под силу сделать знакомую форму по-настоящему личной.
Жакет + юбка + блуза
За кадром всегда остаются моменты, которые не попали в объективы камер, но навсегда сохранились в нашей памяти.
Один из них: вручение героиням проекта подарков в благодарность за участие, вдохновение и самые искренние эмоции. Мы хотели, чтобы новый образ стал личным воспоминанием, поэтому дополнили его особенной деталью — именной биркой 🤍
Такие комплименты мы дарим и тем, кто становится частью большой истории M.REA…
Продолжаем писать историю проекта «Женщины нашего времени», где главные героини — вы, наши клиентки: уникальные, многогранные и по-своему удивительные!
«Я хожу по канату и стараюсь не упасть»
Знакомьтесь: Елена Портнова — Женщина нашего времени, для которой успех измеряется не скоростью, а тем, что удаётся сохранить спустя годы.
«Благодаря героизму и авантюризму моих родителей я появилась на свет на Кольском полуо…
День рождения — ещё один повод побаловать себя!
Мы рады быть с вами каждый день, а в этот особенный праздник дарим дополнительную скидку 2000 рублей на ваши покупки.
Узнать подробнее: https://www.m-reason.ru/tgbirthday0808
Маленькие удовольствия теперь с большими скидками: объявляем старт финальной распродажи!
Правило «взять только одну» официально отменяется. Больше вещей с выгодой до 50% ждут вас в фирменных магазинах M.REASON и на нашем сайте в разделе «Скидки»: https://www.m-reason.ru/finalsale0708
Когда даже льняной жакет хочется отложить до вечера, спасает стайлинг трюк родом из нулевых — костюмный жилет на обнажённое тело.
Элегантная замена топам и майкам и пример того, как удачные модные формулы продолжают работать десятилетиями. Не жарко, стильно и в рамках дресс-кода.
Жилет + юбка
В офис и без льняного костюма?
На этой неделе рабочие будни превратились в настоящий квест на выживание: горящие задачи никто не отменял, а кондиционер работает по настроению.
Единогласно повышаем лён на должность главной ткани летнего делового гардероба. Собрали несколько образов, достойных нового назначения.
Какой из них — 100% ваш: 1, 2, 3, 4, 5, 6 или 7?
Говорим на языке тихой роскоши без слов и выбираем образ для выходных в загородном клубе среди новинок осенней коллекции.
В фокусе — интеллектуальная база во всех ее проявлениях: с элементами деконструкции, раскрывающих в классическом тейлоринге новую глубину.
Жилет + брюки + рубашка
Осторожно: зафиксированы случаи «синдрома нового образа»!
Симптомы: проявляется внезапным желанием собрать комплект ещё с вечера и мысленно примерить его раз пять до утра
Побочный эффект: нетипично тёплые чувства к будильнику
Терапия: не менее одного выхода в свет. При необходимости — повторить
Делитесь в комментариях, узнали себя?
Бермуды + блузон
Тем временем наша главная миссия на август: подготовить ваш гардероб к любому сценарию.
Брюки с тропическим принтом — на случай, если душой или телом вы уже в отпуске. Комплект с акцентом на игру кроя и фактур — для дней, когда хочется выйти за рамки делового дресс-кода. Белоснежный лён в паре со струящейся шоколадной блузой — база, которая работает в любых обстоятельствах.
Какого образа не хватает в вашем гардероб…
❤20💘7🔥5👏3💯2😍1🙏1
Showing the 11 most recent of 11 posts we hold for @mreasonofficial. 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.
Posts edited after publishing
@mreasonofficial 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.
First edit seen
10 August 2026
Most recent edit
10 August 2026
Citation-graph rank
Citation-graph rank — 401,819 of 1,151,006entries 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
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“M.REASON” (@mreasonofficial), 14,056 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mreasonofficial.
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.
