Literature — 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 12 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 the other topics.
Growth
24 measurements spanning 94 days, net -106. 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 6,259–6,407 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
7 Nov 2026, 21:50
6,284
+8
4 Nov 2026, 12:35
6,276
-5
1 Nov 2026, 08:07
6,281
-3
26 Oct 2026, 07:04
6,284
-3
23 Oct 2026, 11:26
6,287
-12
20 Oct 2026, 21:09
6,299
+3
18 Oct 2026, 05:59
6,296
-1
15 Oct 2026, 10:59
6,297
-7
12 Oct 2026, 08:16
6,304
-12
5 Oct 2026, 22:15
6,316
-14
28 Sept 2026, 08:02
6,330
-6
15 Sept 2026, 16:37
6,336
-4
12 Sept 2026, 05:15
6,340
-2
2 Sept 2026, 20:23
6,342
-4
31 Aug 2026, 02:34
6,346
-7
28 Aug 2026, 12:08
6,353
-6
25 Aug 2026, 22:18
6,359
-6
22 Aug 2026, 18:44
6,365
-6
19 Aug 2026, 15:58
6,371
+3
16 Aug 2026, 06:26
6,368
first reading
Engagement
39 posts held, back to 2 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.61%
avg views ÷ 6,284 subscribers
Avg views / post
416
12 posts measured
Reaction rate
5.03%
reactions ÷ views · ER floor
Posts in window
12
of 39 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 November 2026
Posts held
39 (2 June 2026 – 2 November 2026)
Views total
4,988
Reactions total
251
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:45 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
833 reactions across 36 posts, in 16 distinct kinds. The most used accounts for 24.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
201
24.1%
🔥
161
19.3%
👀
147
17.6%
❤
117
14.0%
👍
117
14.0%
🤔
41
4.92%
🤓
22
2.64%
🤝
16
1.92%
✍
3
0.36%
🥰
2
0.24%
🆒
1
0.12%
👌
1
0.12%
👏
1
0.12%
😢
1
0.12%
😱
1
0.12%
🤬
1
0.12%
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 37 of the 39 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 859 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 2 June 2026 to 2 November 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
7
of 37 we hold a reading for · 19%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @business_b. 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 39 most recent posts we hold for this entry, published 2 June 2026 to 2 November 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
Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Сколько грандиозных идей, прибыльных проектов и смелых решений так и остались нереализованными только потому, что страх ошибки оказался сильнее желания победить?
Страх — это невидимый тормоз, который незаметно управляет нашими решениями в бизнесе и карьере. В книге «Как преодолеть барьер страха» эксперт по управлению рисками и стратегии Том Ригер доказывает: корень большинства профессиональных неудач кроется не в об…
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📖 В чатах злоумышленники входят в доверие к участникам и обсуждают литературу. Затем предлагают книгу Генри Форда и Джона Рокфеллера «Время — деньги».
Но вместо ожидаемого PDF-файла пользователи могут получить ZIP-архив с вредоносным ПО, предназначенным для кражи Telegram-аккаунтов.
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Главная ошибка начинающего предпринимателя — вложить время и деньги в идею, которую никто не готов покупать.
Эти 7 книг помогут пройти путь от идеи до первых клиентов и выстроить бизнес, который приносит прибыль.
1. «Стартап за $100» — Крис Гильбо
Как найти бизнес-идею на основе своих навыков, определить, за что люди готовы платить, и начать с небольшими вложениями.…
💸 КЛИЕНТУ НЕ ИНТЕРЕСНО, КАКОЙ У ВАС ПРОДУКТ. ЕМУ ИНТЕРЕСНО, ЧТО ОН ПОЛУЧИТ.
Вы можете создать качественный продукт, потратить деньги на рекламу, красиво оформить предложение — и всё равно услышать: «Я подумаю».
Почему?
Потому что предприниматели часто продают характеристики продукта, а клиенты покупают решение своих проблем.
Вместо того чтобы рассказывать, какой у вас отличный продукт, попробуйте изменить подход.…
Почему блестящие оценки в дипломе и престижный университет больше не гарантируют вашему ребенку счастливую и обеспеченную жизнь в будущем?
Мир меняется с бешеной скоростью, и традиционные подходы к воспитанию и образованию безнадежно устарели. В книге «Сделайте ваших детей успешными» легендарный инвестор и миллиардер Джим Роджерс делится жесткими, но невероятно практичными жизненными уроками, которые он дает собстве…
5 КНИГ, КОТОРЫЕ НАУЧАТ ПРОДАВАТЬ БЕЗ НАВЯЗЧИВОСТИ
Если клиент чувствует, что ему пытаются что-то навязать, он начинает сопротивляться. Хорошие продажи работают иначе: ты понимаешь потребность человека, показываешь решение и помогаешь ему принять обоснованное решение.
Вот 5 книг, которые помогут этому научиться 👇
1. «СПИН-продажи» — Нил Рэкхем
Как продавать через правильные вопросы, а не бесконечную презентацию пр…
💰 Вы можете работать по 10 часов в день и всё равно стоять на месте. Вот почему.
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Часто дело в том, что полезные действия выполняются от случая к случаю.
Сегодня вы ищете клиентов. Завтра откладываете. В понедельник изучаете новый инструмент, но так и не применяете его. Через месяц удивляетесь, почему доход не изменился.
В книге «Атомные привычки» — Джей…
Почему большинство современных компаний всё ещё управляются по бюрократическим правилам XIX века, убивающим инновации и инициативу сотрудников?
Институциональная бюрократия превращает талантливых людей в винтики системы и медленно топит бизнес. В книге «Манифест лидера. Что действительно важно сейчас» один из самых влиятельных мыслителей в сфере менеджмента Гэри Хэмел бросает вызов традиционным моделям управления и …
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Большинство людей заняты решением срочных проблем. Стратегическое мышление помогает понять, какие решения действительно приведут к результату в долгосрочной перспективе.
Вот с чего можно начать:
1. «Думай медленно… решай быстро» — Даниэль Канеман
О двух режимах мышления, когнитивных искажениях и ошибках в принятии решений.
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О системном подходе…
Большинство книг по саморазвитию — мусор. Объясняю почему.
Осторожно — спорное мнение.
95% книг по саморазвитию пишутся по одной формуле:
1. Личная история трансформации автора
2. Три-пять «открытий»
3. То же самое что уже написано в 50 других книгах
Почему тогда их покупают миллионами?
👉 Потому что мозг любит чувствовать что он «развивается».
👉 Чтение книги о продуктивности заменяет настоящую продуктивность.
Это…
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Это практиче…
🔥12👍7❤5👀3💯3
Showing the 12 most recent of 39 posts we hold for @business_b. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 39 most recent posts we hold, published 2 June 2026 to 2 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 3 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бизнес Книги 📚” (@business_b), 6,284 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/business_b.
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.