4 measurements spanning 16 days, net +302. 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 112–504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Aug 2026, 17:39
459
+137
16 Aug 2026, 15:04
322
+165
8 Aug 2026, 18:16
157
no change
7 Aug 2026, 18:28
157
first reading
Engagement
20 posts held, back to 24 March 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 · 30 days
62.3%
avg views ÷ 459 subscribers
Avg views / post
286
1 post measured
Reaction rate
9.44%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 8 August 2026
Posts held
20 (24 March 2026 – 8 August 2026)
Views total
286
Reactions total
27
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 18:16 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
553 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 22.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
125
22.6%
🔥
122
22.1%
👍
119
21.5%
🎉
117
21.2%
🤩
70
12.7%
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 20 of the 20 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 553reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 March 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BKNninja. 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 20 most recent posts we hold for this entry, published 24 March 2026 to 8 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.
💎 В Voizzer добавил новые голоса
«Дикторы» +4 голоса:
Станислав Концевич (Харрисон Форд, Николас Кейдж), Александр Ноткин (Джейк Салли, Джулиан Ассанж), Владимир Ерёмин (Аль Пачино, Джек Николсон), Андрей Иванов (Business FM, BMW).
«Блогеры» +2 голоса:
Playboyz TV (мужская версия), Playboyz TV (женская версия)
Озвучивай ролики в Voizzer
В связи с тем, что мне пришло несколько сообщений о том, что новая модель озвучивает некоторыми голосами хуже, чем было, добавлена возможность самостоятельно выбрать модель озвучки.
Это можно сделать в Настройках через кнопку «Сменить модель».
Для каждого голоса модель закрепляется отдельно, как и прочие настройки.
👥 Голоса от сообщества в Voizzer
• В след за функцией клонирования голосов, добавил в бот отдельную категорию «От сообщества».
В неё попадают все голоса, которые создают сами пользователи.
При желании вы можете скрывать и снова отображать свои голоса через настройки.
• Также, для удобства, добавил Поиск по голосам – он находится в категории «От сообщества».
• Увеличил максимальное кол-во символов названия голоса (…
📄 Клонирование любых голосов в Voizzer
Добавлена возможность самостоятельно клонировать любой голос и озвучивать им текст.
Достаточно примера голоса 10-60 секунд.
1. Заходим в «Настройки» из главного меню;
2. Далее в «Изменить голос»;
3. Далее в «Мои голоса»;
4. Там жмём на «Клонировать голос»;
5. Указываем название голоса;
6. Отправляем аудио-пример;
7. Получаем результат.
Голоса хранятся в разделе «Мои голоса».…
💬 Начали приходить сообщения о том, что в @VoizzerBot не работает озвучка.
Хочу уточнить, что в боте действует система очереди. То есть, если одновременно уже озвучивается несколько текстов, то остальные озвучиться не смогут, пока очередь не освободится. Это сделано для того, чтобы сервер не падал от нагрузки, т.к. процесс даже одной озвучки весьма ресурсоёмкий.
Тут есть мой косяк – я не сделал так, чтобы выдавало …
✈ Улучшение генерации превью в PreviewNinja
Была значительно улучшена модель для генерации превью для видео.
• Уменьшен шанс появления кривого текста с ошибками – особенно у кириллицы (пример на изображении)
• Более точно соблюдаются данные пользователем инструкции
• В целом превью стали выглядеть качественнее
• И прочие мелкие улучшения
Создавай превью в PreviewNinja
❤️ Небольшая обнова в ConveNinja
Теперь транскрибировать можно до 10 аудио за раз.
Больше сделать нельзя из-за ограничений телеграм.
Приходило пару вопросов о том, почему в "видео в текст" не сделано также, что можно отправить несколько за раз.
Извлечение текста из видео – ресурсоёмкое занятие для бота, на которое уходит больше времени из-за того, что сперва боту нужно через ffmpeg извлечь аудио из видео, и только …
😃 Халявные токены в Voizzer
Первые 5 человек, написавшие мне +, получат по 100 токенов на баланс.
Перед отправкой обязательно запустите бота, если ещё не делали этого.
[Написать]
⚠️ Какое-то время боты могут быть недоступны.
Мой хостер ахуел повысил цены более чем на 100% и сделал ранее бесплатные услуги платными (кризис в стране хули, так и живём), так что сегодня буду перекидывать всех ботов на другой зарубежный VPS.
Переносить буду по одному боту за раз, так что поочерёдно боты один за другим будут отрубаться на несколько минут.
❤8🔥6🎉5🤩4👍2
Showing the 12 most recent of 20 posts we hold for @BKNninja. 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.
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 23 August 2026 — this
entry's latest reading, not the date you are reading this.
“BKN Ninja” (@BKNninja), 459 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/BKNninja.
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.