10 measurements spanning 28 days, net -1. 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 8,312–8,355 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Sept 2026, 23:40
8,349
+32
1 Sept 2026, 13:37
8,317
-8
29 Aug 2026, 08:23
8,325
+1
26 Aug 2026, 01:54
8,324
-3
23 Aug 2026, 03:12
8,327
-6
19 Aug 2026, 22:34
8,333
+11
16 Aug 2026, 22:23
8,322
-9
14 Aug 2026, 01:57
8,331
-19
7 Aug 2026, 20:51
8,350
no change
7 Aug 2026, 12:47
8,350
first reading
Engagement
27 posts held, back to 6 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 22 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.4%
avg views ÷ 8,349 subscribers
Avg views / post
1,710
8 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
8
of 27 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. It is computed over the 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 August 2026
Posts held
27 (6 July 2026 – 26 August 2026)
Views total
13,640
Reactions total
150
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 17:57 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.
Reaction mix
492 reactions across 25 posts, in 8 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
154
31.3%
🔥
123
25.0%
🙏
92
18.7%
🎉
71
14.4%
👍
46
9.35%
😱
3
0.61%
🏆
2
0.407%
👏
1
0.203%
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 26 of the 27 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 492 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 6 July 2026 to 26 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
3
across the posts below
Posts paid on
3
of 27 we hold a reading for · 11%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kozir_mp. 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 27 most recent posts we hold for this entry, published 6 July 2026 to 26 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.
🔥Раздел ФБС в Системе 10X
11 вкладок, каждая - это ответ на конкретный вопрос по ФБС. Пробегусь по главным: что показывает и как превратить это в прибыль!
Сводка. Видны все заказы по стадиям: пришел, на сортировке у ВБ, едет к клиенту, ждёт в ПВЗ, выкупили или отменили. % выкупа считается только по тем, что дошли до клиента
Матрица складов. Разница между фактическим остаткам на складе FBS и заявленным на WB: товар…
График эфиров 10X!
Спикер: Екатерина - опытный менеджер 10X
Продолжительность: 1-1,5 часа
Новые обучающие эфиры на эту неделю.
Записывайтесь на нужные темы 👇
———
1️⃣ 26.08 Среда 12:00
Темы эфира:
• Джем - выстраиваем кластерную рекламу, которая даёт максимальный результат без слива бюджета
• Точки входа - оцениваем эффективность трафика
👉 Записаться на эфир 26.08 по ссылке
———
2️⃣ 27.08 Четверг 12:00
Темы эфи…
+40% чистой прибыли за неделю. Прямо в разгар кризиса
Пока рынок штормит, есть проекты, которые продолжают уверенно расти. Не за счёт удачи, а за счёт правильных решений в моменте.
Делюсь свежим кейсом с одного из наших проектов на ведении.
Проект в электронике. Работаем по гибридной схеме ФБО+ФБС. Из ФБО-складов оставался только Коледино (и тот скоро полностью на ФБС уйдёт).
Ситуация далёкая от простой. Но именно…
График эфиров 10X!
Спикер: Екатерина - опытный менеджер 10X
Продолжительность: 1-1,5 часа
Обучающие эфиры на новую неделю.
Записывайтесь на нужные темы 👇
———
1️⃣ 18.08 Вторник 12:00
Темы эфира:
• Чек-лист - какие факторы влияют на рост и падение карточек товара и как управлять результатом в свою пользу
• Ответы на вопросы
👉 Записаться на эфир 18.08 по ссылке
———
2️⃣ 19.08 Среда 12:00
Темы эфира:
• ОПиУ - как…
На сегодня 2 новости:
1. Перевели всю систему на автоматический учет реальных остатков.
Как только ВБ блокирует склад - убираем из доступных остатков. Меняется реальная оборачиваемость.
Обратно также: как только склад открывается - остатки возвращаются.
Так было с Казанью: началась атака и ВБ закрыл склад полностью. У нас исчезли остатки сразу и в РНП, и в чек-листе, и в плане поставок, и в оценке рисков.
2. Се…
График эфиров 10X!
Спикер: Екатерина - опытный менеджер 10X
Продолжительность: 1-1,5 часа
Обучающие эфиры на эту неделю.
Записывайтесь на нужные темы 👇
1️⃣ 11.08 Вторник 12:30
Темы эфира:
• План действий и опасности - приоритетный список задач по товарам, смотрим, где ты сливаешь деньги и что с этим сделать прямо сегодня
👉 Записаться на эфир 11.08 по ссылке
———
2️⃣ 13.08 Четверг 12:00
Темы эфира:
• Джем - выс…
Знаем, что сейчас селлерам не до фич.
Склады горят, часть остатков потеряна, продажи просели. Выпускать релиз про инструменты в такой момент - не самое очевидное решение.
Жизнь идет дальше. В это же время команда пилила обновления. И всё, что выпускаем - как раз про то, чтобы разгребать сегодняшнее: остатки, деньги, задачи на каждый день.
Что теперь доступно всем клиентам Системы 10X:
🟢План поставок - считает ско…
Консультационные подписки классно себя показали.
Суть вот в чем:
Закрепляется 1 постоянный личный эксперт:
• Вы "об него" думаете и учитесь. Показывает где именно вы не дотянули, где молодцы, а где явно ошиблись
• Изучает специфику вашего проекта
• Помнит контекст предыдущих обсуждений
• Готовит материалы к каждому созвону (анализ данных, подбор кейсов)
Созвоны 4 или 8 раз в месяц. Этого хватает, чтобы ваша команд…
График эфиров 10X!
Спикер: Екатерина - опытный менеджер 10X
Продолжительность: 1-1,5 часа
Обучающие эфиры на новую неделю.
Записывайтесь на нужные темы 👇
1️⃣ 04.08 Вторник 12:00
Темы эфира:
• Чек-лист - какие факторы влияют на рост и падение карточек товара и как управлять результатом в свою пользу
• Ответы на вопросы
👉 Записаться на эфир 04.08 по ссылке
———
2️⃣ 06.08 Четверг 12:00
Темы эфира:
• Джем - как в…
Одно дело - прикинуть в калькуляторе. Другое - как ВБ реально посчитает продажи.
Чтобы видеть точную маржу FBS, а не прогнозную, сейчас дописываем Систему 10X. Считаем юнит-экономику по завершённым FBS-продажам, а дальше пройдёмся по всем инструментам - чтобы FBS не был чёрным ящиком.
В работе прямо сейчас 7 инструментов, включая OZON. Первым выкатим всё, что связано с поставками и FBS.
🔥30❤10
Showing the 12 most recent of 27 posts we hold for @kozir_mp. 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.
Mentions
Named by 2 registered channels — 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.
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.
Dreamer @dreamertim · 40,677 Telegram ranks this channel #10 of 79 here — alongside 78 others — read 30 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“Козырь ➚” (@kozir_mp), 8,349 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/kozir_mp.
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.