Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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 why it has no browse page of its own yet.
Growth
33 measurements spanning 42 days, net +89. 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 12,814–13,091 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:59
12,935
-28
16 Sept 2026, 16:56
12,963
-23
14 Sept 2026, 20:01
12,986
-17
13 Sept 2026, 08:21
13,003
-20
11 Sept 2026, 12:40
13,023
-26
8 Sept 2026, 23:17
13,049
-10
5 Sept 2026, 18:01
13,059
+5
3 Sept 2026, 19:38
13,054
+1
2 Sept 2026, 09:54
13,053
+8
1 Sept 2026, 08:08
13,045
+2
31 Aug 2026, 08:53
13,043
+23
30 Aug 2026, 05:42
13,020
+6
29 Aug 2026, 06:57
13,014
+8
28 Aug 2026, 07:12
13,006
+4
27 Aug 2026, 07:47
13,002
+12
26 Aug 2026, 06:26
12,990
+7
25 Aug 2026, 04:37
12,983
+14
23 Aug 2026, 23:29
12,969
+24
22 Aug 2026, 09:45
12,945
+21
20 Aug 2026, 23:14
12,924
first reading
Engagement
42 posts held, back to 17 June 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
39.5%
avg views ÷ 12,935 subscribers
Avg views / post
5,110
12 posts measured
Reaction rate
0.499%
reactions ÷ views · ER floor
Posts in window
12
of 42 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 September 2026
Posts held
42 (17 June 2026 – 2 September 2026)
Views total
61,370
Reactions total
306
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:47 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
1,050 reactions across 42 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,050
100.0%
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 42 of the 42 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 1,050 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 17 June 2026 to 2 September 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.
Advertising
Ad load
11.9%
5 of 42 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
4,220
over 5 measured posts
Median views · rest
6,490
over 37 measured posts
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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFGtaeAD
1
28 August 2026
28 August 2026
2W5zFHPaSJV
1
26 August 2026
26 August 2026
2W5zFHpsbsf
1
27 August 2026
27 August 2026
2W5zFJRTY33
1
2 September 2026
2 September 2026
2W5zFJvopB3
1
24 August 2026
24 August 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 42 most recent posts we hold, published 17 June 2026 to 2 September 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.
📌 Стив Джобс: гений дизайна и инноваций
Стив Джобс — сооснователь Apple, человек, который изменил мир технологий и дизайна. Его подход к созданию продуктов сочетал эстетику и функциональность, что сделало Apple лидером индустрии.
🗣️Джобс верил в простоту и минимализм.
🗣️Он стремился к совершенству в каждой детали, требовал от команды высочайшего качества.
🗣️Его видение опережало время: iPhone, iPad, Mac — эти устро…
❗️ История успеха: Сара Блэйкли
Сара Блэйкли работала продавцом факсов, получая постоянные отказы. В 27 лет она отрезала ноги у колготок, чтобы они выглядели лучше под белыми брюками. Это изменило её жизнь навсегда.
🔥Путь к вершине:
🗣️1998 - Инвестировала $5000 в создание Spanx
🗣️2 года искала производителя, получив 100+ отказов
🗣️2000 - Первая продажа в магазине Neiman Marcus
🗣️2012 - Стала самой молодой женщиной-…
Соседний участок продают за 3 700 000. Этот я взял за 1 500 000
Разница не в качестве земли. Просто знаю, где купить дешевле.
Государство продаёт землю через муниципальные торги — и часто на лот заявляется один участник. Я разбираю такие лоты в своём канале: что брать, что не брать и почему. А еще как получить участок от государства вообще без оплаты - на каждого члена семьи.
[Канал Формула земли] - подпишись на к…
📌Брендбук для единства стиля
✔️Чтобы компанию узнавали, а не воспринимали каждую рекламную акцию без связи с корпоративным имиджем, необходимо этот имидж разработать с самого начала.
✔️Визуальная составляющая вашего брендбука должна включать элементы, необходимые при запуске: бирки, этикетки, упаковка, логотип, вывеска, баннер и т. п.
✔️А ещё она должна прогнозировать ближайшее развитие и включать примерные решени…
⚡️ История успеха: Опра Уинфри
Знаете ли вы, что одна из самых влиятельных женщин мира начинала с нуля❓
Опра Уинфри родилась в бедной семье в Миссисипи. Детство было тяжёлым: бедность, насилие, постоянные переезды. Но она никогда не сдавалась.
В 19 лет стала самой молодой и первой афроамериканской ведущей новостей на местном ТВ. В 1986 году запустила своё ток-шоу, которое стало самым рейтинговым в истории телевиде…
🔥 ИИ-конференция за один вечер: 6 кейсов, эксперты топ-уровня, подарки
3 сентября в 18:00 МСК — бесплатный онлайн-форум от Академии Эдюсон (№1 по версии Smart Ranking, 750 000+ выпускников).
Кому будет полезно?
Всем, кто хочет автоматизировать рутину в маркетинге, продажах и операционке. Без сложной разработки и огромных бюджетов.
В программе:
✔ 6 реальных кейсов внедрения ИИ
✔ Как снизить юридические риски при ис…
📌 История успеха: Джек Ма
Учитель английского, которого не взяли даже в KFC, стал самым богатым человеком Китая.
Джек Ма родился в бедной семье. Провалил экзамены в университет дважды, получил отказы в 30 вакансиях, включая KFC. Но он не сдался.
🔝Путь к вершине:
➕1995 - Впервые увидел интернет в США
➕1999 - Основал Alibaba в своей квартире с $60,000
➕2003 - Запустил Taobao (китайский eBay)
➕2014 - IPO Alibaba на $…
📌 История успеха: Уоррен Баффет
"Оракул из Омахи" - человек, который стал миллиардером, покупая акции недооценённых компаний.
В 11 лет Уоррен купил свои первые акции за $38. В 26 лет основал инвестиционный фонд с $7000. Сегодня его состояние превышает $120 млрд.
⚠️Путь к вершине:
🗣️1956 - Основал Buffett Partnership с $100,000
🗣️1965 - Купил Berkshire Hathaway за $11.50 за акцию
🗣️1988 - Инвестировал в Coca-Cola
…
📌 История успеха: Билл Гейтс
Гарвардский отличник, который бросил учёбу ради мечты о персональном компьютере в каждом доме.
В 1975 году 20-летний Билл Гейтс оставил Гарвард и с другом основал Microsoft в гараже. Они верили, что компьютеры изменят мир.
✔️Путь к вершине:
⌛1975 - Основание Microsoft
⌛1980 - Сделка с IBM на поставку MS-DOS
⌛1985 - Запуск Windows
⌛1995 - Windows 95 покорил мир
✔️Секреты успеха Гейтса:…
📌 История успеха: Джефф Безос
Банкир, который бросил стабильную работу ради мечты о книжном магазине в интернете.
В 1994 году Джефф Безос работал в инвестиционном фонде на Уолл-стрит. Узнав о росте интернета на 2300% в год, он принял безумное решение — уволиться и основать интернет-магазин в гараже.
📌Путь к вершине:
🗣️1994 - Основал Amazon, продавая книги из гаража
🗣️1997 - IPO Amazon, акции по $18
🗣️2000-е - Расш…
Говорим на языке бизнеса. Даем то, что работает.
Хотите быть в курсе реальных бизнес-возможностей Москвы, а не просто читать новости?
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Здесь для вас:
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👍7
Showing the 12 most recent of 42 posts we hold for @biznMotivate. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Busines Motivation” (@biznMotivate), 12,935 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/biznMotivate.
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.