3 measurements spanning 6 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 2,545–2,547 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 13:49
2,545
-2
7 Aug 2026, 13:28
2,547
no change
7 Aug 2026, 11:02
2,547
first reading
Engagement
8 posts held, back to 8 April 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
24.4%
avg views ÷ 2,545 subscribers
Avg views / post
621
2 posts measured
Reaction rate
5.64%
reactions ÷ views · ER floor
Posts in window
3
of 8 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 2 August 2026
Posts held
8 (8 April 2026 – 2 August 2026)
Views total
1,241
Reactions total
70
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:03 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
Video runtime
2m 51s
Average length
2m 51s
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.
Reaction mix
400 reactions across 7 posts, in 16 distinct kinds. The most used accounts for 53.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
214
53.5%
🔥
93
23.3%
🎉
26
6.50%
🥰
18
4.50%
🤯
15
3.75%
😁
7
1.75%
👏
6
1.50%
👀
4
1.00%
👌
3
0.75%
💔
3
0.75%
💘
3
0.75%
👍
2
0.5%
🕊
2
0.5%
😢
2
0.5%
⚡
1
0.25%
😱
1
0.25%
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 7 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 400reactions 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 8 April 2026 to 2 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.
Telegram Stars
Stars received
55
across the posts below
Posts paid on
2
of 7 we hold a reading for · 29%
Most on one post
53
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marinaprowboss. 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 8 most recent posts we hold for this entry, published 8 April 2026 to 2 August 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.
Пресс-конференция ВБ по ситуации на складах, 31 июля. Спикеры: Дмитрий Трофимов, Анна Аверина, Анна Арутюнян.
Компенсаций селлерам не будет, вывоз товара не приоритет, сроков восстановления они не называют.
— Платить не будут. Атаки признаны терактом, для страховщиков это нестраховой случай. Формулировка дословно: «никто не должен выплачивать в случае теракта, это предпринимательские риски». Свои склады они называю…
Sold-Out с Мариной Захаровой 💸 pinned «Ребят, я к вам с важным посланием и возможностью в этот непростой для всех период 🕊️ Если вы сейчас в поиске надежного производства в Киргизии — с высоким качеством, отсрочками, адекватными сроками, «белой» доставкой и без хаоса с документами и бесконечного…»
Ребят, я к вам с важным посланием и возможностью в этот непростой для всех период 🕊️
Если вы сейчас в поиске надежного производства в Киргизии — с высоким качеством, отсрочками, адекватными сроками, «белой» доставкой и без хаоса с документами и бесконечного обучения, как с ними работать — у меня есть для вас проверенная фабрика.
Мы уже несколько лет отшиваем там наш бренд и продолжаем это делать дальше, потому что …
Сегодня мне 29 ♥️
И я до сих пор не могу отпустить воспоминания о своем дне рождения в прошлом году…
Кажется, о таком моменте мечтают многие — и я даже не могла представить, что такое случится со мной.
Китай. Почти полночь по местному времени. Я подхожу к номеру, открываю дверь — и вдруг громкое: «Урааа, с днём рождения!»
Передо мной — мои друзья и близкие люди 😭
Это был тот самый момент «ущипните меня», как в фил…
3 недели до старта моего обучения — SOLD OUT 🎯
И это тот случай, когда программа не просто «обновилась».
Мы с Марией Севостьяновой (@now_marie) — главным экспертом в области анализа трендов — пересобрали её с нуля:
переписали уроки, выстроили логику, убрали лишнее и сделали так, чтобы информация легко усваивалась и применялась в работе.
В этом потоке впервые такой мощный состав экспертов ⬇️
Елена Виноградова — эк…
Цветовое решение
Я бы тоже хотела думать, что это баг и сервисы «ошибаются», но нет 😄
Вот так чувствуют себя те, кто «шарит» за тренды, а то вижу уже, как бьются в Киргизии за рулон оливки.
Атакуйте мандарин! 🍊
9 апреля в 13:20 МСК — проведу эфир в сообществе Фарца
На своём выступлении покажу, как применять тренды к текущему ассортименту и отстраиваться от конкурентов на этапе раннего большинства. Это будет продолжение серии постов выше.
Дополнительно темы эфиров коллег:
• Нейросети для роста
• Индекс локализации и ИРП
• Алгоритмы WB 2026
Регистрация: https://farca.biz/onlinefarca
Буду всех ждать 🫶🏽
Немного неудобной правды к посту выше 👆🏼
Сегодня наткнулась на разбор на канале тренд-аналитика:
«оливковый цвет будет стрелять в грядущем осенне-зимнем сезоне» (см.скрин 1)
Конечно будет, ведь уже есть внушительное количество кейсов на которых ребята круто заработали. Не только в осенне-зимнем сезоне, а продолжают прямо сейчас и весеннем. (см.скрин 5-10)
*Приложила немного примеров из выдачи в качестве подтвержде…
❤49🔥8👏5⚡1
Showing the 8 most recent of 8 posts we hold for @marinaprowboss. 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.
Forward network
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.
Appears in Telegram’s recommendations for other channels
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.
Max EVIRMA / Продвижение на Wildberries / LET`S ROCK on WB @maxprowb · 102,652 Telegram ranks this channel #38 of 73 here — alongside 72 others — read 15 August 2026
Рыжий М. @redman · 103,153 Telegram ranks this channel #46 of 74 here — alongside 73 others — read 15 August 2026
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Sold-Out с Мариной Захаровой 💸” (@marinaprowboss), 2,545 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/marinaprowboss.
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.
