Channel
@bad_busines
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,524subscribers
+947 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003956719306 |
|---|---|
| Type | Channel |
| Username | @bad_busines |
| Created | Between 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/bad_busines |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 02:25 | 2,524 | +947 |
| 10 Aug 2026, 05:31 | 1,577 | first reading |
17 posts held, back to 31 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 17 (31 July 2026 – 8 August 2026) |
| Views total | 5,978 |
| Reactions total | 334 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 05:31 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.
Measured directly from 5 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.
334 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 21.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 73 | 21.9% | |
| 🤣 | 66 | 19.8% | |
| 👎 | 59 | 17.7% | |
| 😁 | 51 | 15.3% | |
| 🔥 | 41 | 12.3% | |
| 🤡 | 41 | 12.3% | |
| 🗿 | 3 | 0.898% |
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 17 of the 17 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 334reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 31 July 2026 to 8 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.
Реклама вышла на новый уровень – теперь прямо на лбу. Западный блогер с аудиторией около 66 тысяч подписчиков начал продавать рекламные места… на собственном лбу. 🟡Неделя такого «размещения» стоит до $200 (примерно 16 тысяч рублей). Блогер просто пишет название бренда на лбу и снимает рилсы. 🟡Схема звучит абсурдно, но работает: некоторые ролики у него набирают миллионы просмотров. Похоже, после всех блокировок р…
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На маркетплейсе обнаружена свеча, которая, кажется, необходима каждому. В описании обещают аромат финансовой независимости. 🪦 BAD BUSINESS
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Японец построил необычный бизнес – люди платят ему за НИЧЕГО. Сёдзи Моримото может сходить с клиентом в магазин, постоять рядом в очереди или просто выслушать. За один «сеанс» Моримото берёт около 10 000 иен (примерно 5,5 тыс. рублей). Основные клиенты – одинокие люди, которым нужно поговорить или не хочется проводить время в одиночестве. Получается, «побудь со мной» – это уже платная услуга. 🪦 BAD BUSINESS
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Оказывается, рыбалка может приносить почти миллион рублей в месяц. Росстат назвал самые денежные профессии в России — и первое место неожиданно заняли не айтишники. 🟡Выращивание морской рыбы и морепродуктов — в среднем 970 тыс. рублей в месяц. 🟡Следом идут управление пенсионными фондами — 820 тыс., и ценными бумагами — 730 тыс. рублей. Звучит как бизнес-план. 🪦 BAD BUSINESS
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В России никто не хочет покупать завод водки.🍸 Росимущество уже в третий раз пытается продать активы Global Spirits — производителя водки «Хортица». Завод снова выставили на торги за 7,8 млрд рублей. Чтобы просто поучаствовать в аукционе, нужно внести задаток почти 1,6 млрд рублей. 🪦 BAD BUSINESS
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Бизнесмены напряглись. 🪦 BAD BUSINESS
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Женщина профинансировала сериал, чтобы 60 раз поцеловать молодого актёра. 💋 Богатая китаянка вложилась в создание 50-серийной микродрамы, но поставила условие: главную роль должен сыграть 23-летний Чжун Юйфэй, а сама она — сыграть его возлюбленную. Главным пунктом стали 60 сцен с поцелуями. По словам команды, на съёмках спонсорша начала добавлять «импровизацию», а режиссёр позже вырезал часть романтических сцен. П…
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Найдена идеальная футболка для айтишников на удалёнке.👍 Американцы создали HercShirt V5.0 — её можно НЕ стирать до 30 дней. В ткань вплели медь, серебро, цинк, золото, вулканический пепел и ещё два секретных компонента. Есть версии на 3, 14 и 30 дней, цена — до 6300 рублей. 🪦 BAD BUSINESS
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Бизнес-идея, которую точно никто не ожидал.🤯 67-летняя жительница Колумбии превратила обычные сплетни в источник дохода. Каждое утро она выходит к дому, слушает разговоры соседей, записывает всё в блокнот и собирает собственную базу слухов. А дома хранит фотографии местных жителей и даже схему их предполагаемых отношений. За свежие сплетни женщина берёт 100–200 рублей, а за самые ценные — значительно больше. Иногд…
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Нейрослоп добрался до огородов. На маркетплейсах пользователи всё чаще находят абсолютно нереалистичные карточки растений, сгенерированные ИИ. На фото – фантастические цветы и ягоды, которые в природе просто не существуют. Самое удивительное, что такие «саженцы» реально покупают. Под товарами уже сотни отзывов вроде: «саженцы живые, цвет увидим летом». 🪦 BAD BUSINESS
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Найдена работа мечты для хейтеров ИИ. В США ищут людей, готовых ругаться с нейросетями за $800 в день. Задача – на камеру общаться с чат-ботами, спорить, злиться и провоцировать их на ошибки, проверяя память и фиксируя сбои. Чем больше настоящих эмоций и раздражения – тем лучше для теста. В вакансии отдельно указано: кандидат должен иметь богатый опыт разочарования в технологиях. А вот опыт травли ИИ не обязателен…
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Темщики уже открывают Google Maps. 17-летняя девушка нашла необычный способ зарабатывать тысячи долларов. Она ищет на карте небольшие компании со старыми сайтами, собирает для них современный лендинг и отправляет владельцам уже готовый результат. Если работа нравится — остаётся только обсудить оплату 🪦 BAD BUSINESS
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Showing the 12 most recent of 17 posts we hold for @bad_busines. 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.
Citation-graph rank — 99,282 of 1,151,006entries 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.
Named by 32 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“🔴 BAD BUSINESS | Плохой Бизнес” (@bad_busines), 2,524 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/bad_busines.
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.