Telegram RegisterThe public register of Telegram

Channel

Блог Владимира Кусакина

@kusakinblog

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

6,320subscribers

-35 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001458825924
TypeChannel
Username@kusakinblog
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/kusakinblog

Growth

6,3206,3556,337.57 August 2026 — 6,355 subscribers7 August 2026 — 6,355 subscribers10 August 2026 — 6,335 subscribers13 August 2026 — 6,320 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net -35. 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 6,315–6,360 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:146,320-15
10 Aug 2026, 15:436,335-20
7 Aug 2026, 05:456,355no change
7 Aug 2026, 05:336,355first reading

Engagement

25 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.1%
avg views ÷ 6,320 subscribers
Avg views / post
704
18 posts measured
Reaction rate
4.28%
reactions ÷ views · ER floor
Posts in window
18
of 25 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held25 (6 July 202611 August 2026)
Views total12,674
Reactions total543
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:15 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
14m 13s
Average length
2m 02s

Measured directly from 7 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

821 reactions across 25 posts, in 7 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥30236.8%
👍28835.1%
19724.0%
😁161.95%
👏91.10%
🤩60.731%
💯30.365%

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 25 of the 25 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 821reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 6 July 2026 to 11 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
11
across the posts below
Posts paid on
10
of 25 we hold a reading for · 40%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kusakinblog. 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 25 most recent posts we hold for this entry, published 6 July 2026 to 11 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.

Recent posts

11 Aug 2026, 14:51 UTC197 views20 reactionsread 12 August 2026
Photo

Другая ценность Во время Круглого стола замечательный предприниматель на вопрос как он добивается роста ответил: «Просто смотрю за рынком». Звучит разумно, но понять, что делать или куда смотреть, сложно. Помогают примеры. Андрей рассказал, что сейчас у него получается гораздо выгодней сдавать кладовки, чем помещение под коммерческую недвижимость. Кладовок не хватает, нужны помещения как для компаний, так и для про

10👍7🔥3

10 Aug 2026, 15:01 UTC313 views31 reactionsread 12 August 2026

Технология продаж В субботу очень хорошо прошел Круглый стол, получил много благодарных отзывов. И что особенно приятно было слышать, простые рассказы о том, кто что делает для роста сейчас, вдохновили многих предпринимателей на поиск свежих идей в своем бизнесе. Мне лично понравился рассказ участника олимпийских игр, талантливого предпринимателя и эксперта в построении отделов продаж Сергея Шушина про то, как он

🔥207👍4

9 Aug 2026, 12:36 UTC351 views19 reactionsread 12 August 2026
Photo

Если вы пропустили информацию про Круглый стол или не смогли на него попасть в выходные, у нас хорошая новость! Запись Круглого стола «Как сейчас добиваются роста» доступна >> Заполните форму, и мы пришлем вам ссылку!

8🔥7👍4

8 Aug 2026, 11:56 UTC433 views11 reactionsread 12 August 2026

Друзья, начинаем через 5 минут

5🔥4👍2

7 Aug 2026, 13:51 UTC585 views31 reactionsread 12 August 2026

Навалилось… Вчера вечером мне позвонил один талантливый предприниматель со словами благодарности. Просто сказать человеческое спасибо за помощь. На прошлой неделе у нас была консультация. Компания производит люксовую наградную продукцию. Летом обычно спрос меньше, чем под конец года. А тут еще и повышены налоги. Экономическая ситуация давит на клиентов, которые раньше постоянно заказывали награды. В общем, навали

🔥224👍3👏2

6 Aug 2026, 14:59 UTC532 views20 reactions1 Starread 12 August 2026

Неординарный, эмоциональный и простой Деньги и внимание ведут себя похожим образом. Тот, кто привлекает больше внимания, как правило, привлекает и больше денег. Сейчас, когда внимание у людей рассеивается из-за переизбытка информации в различных соцсетях и лентах, еще важнее становится написать правильно заголовок. Мне когда-то самому помогла книжка американского журналиста Марка Мэтиса: "Накорми Зверя по имени

🔥114👏4👍1

5 Aug 2026, 15:07 UTC521 views17 reactionsread 12 August 2026
Video

Решил немного подробнее рассказать о том, что будет в эту субботу, 8 августа, на Круглом столе: "Как сейчас добиваются роста." Уже много регистраций, лучше записываться заранее (но дублировать не надо, мы всех видим, приглашение пришлем за 1-2 часа до старта). Запись Круглого стола «Как сейчас добиваются роста» от 8 августа доступна

🔥94👍4

4 Aug 2026, 15:22 UTC598 views31 reactions1 Starread 12 August 2026

Уровень необходимости Я когда-то для себя сформулировал основную сюжетную линию американских боевиков. Обычно фильм начинается с того, что главного героя бьют. Потом сильно бьют. После бьют еще сильнее. И вот он решает: «Да, ну нафиг!» - и начинает давать сдачи. Сначала одному, потом многим. И в конце дает по заднице главному злодею. Чем-то похоже на ситуацию для многих предпринимателей сейчас в России, но только

🔥17👍86

3 Aug 2026, 15:02 UTC688 views42 reactionsread 12 August 2026
Photo

Внутренний туризм На днях с женой и внуками съездили отдохнуть на базу отдыха возле озера Большой Сиг. Это 380 километров от Москвы, недалеко от озера Селигер и города Осташков. Сам город поразил. Небольшой, в основном дома в один-два этажа. На одной из центральных улиц с бывшим названием Миллионная больше 20 заброшенных, иногда даже обрушенных домов, причем видно, что это были богатые купеческие дома, деревянные и

👍2011🔥11

30 Jul 2026, 15:20 UTC897 views31 reactionsread 12 August 2026
Video

Я не согласен, что несогласие нельзя использовать в текущий момент! Несогласие - это отличный двигатель! Запись Круглого стола «Как сейчас добиваются роста» от 8 августа доступна >>

🔥17👍75👏2

28 Jul 2026, 15:05 UTC936 views31 reactionsread 12 August 2026

Молва (или по-другому это еще называют “сарафанное радио”) Я когда-то насобирал 4 работающих способа увеличить молву. И это обычно проще, чем тупо добавить денег в рекламный бюджет. 1. Когда человек что-то купил, ему нужно позвонить или написать, поинтересовавшись, изменилось ли в его жизни что-то в лучшую сторону после покупки. Обычно люди быстро привыкают к хорошему и забывают. Когда человек сам расскажет вашему

🔥15👍96🤩1

27 Jul 2026, 15:24 UTC904 views20 reactionsread 12 August 2026

Чего не хватает? Одно из стабильных данных, которое я для себя усвоил — бизнес делается на нехватке, а не на изобилии чего-либо. Во время кризиса возникает куча проблем. Падает спрос и в это же время увеличиваются издержки. Но одновременно с этим возникают области, где образуются нехватки. И это как раз даёт возможность резко начать расти. Сегодня общался с директором логистической компании. Они поставляют разные

9👍7🔥4

Showing the 12 most recent of 25 posts we hold for @kusakinblog. 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.

Posts edited after publishing

@kusakinblog 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
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 358,856 of 1,340,412entries 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

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Блог Владимира Кусакина” (@kusakinblog), 6,320 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/kusakinblog.

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.