Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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
35 measurements spanning 43 days, net -592. 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 57,796–58,566 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:02
57,885
-43
16 Sept 2026, 02:58
57,928
+18
14 Sept 2026, 08:16
57,910
-20
12 Sept 2026, 15:55
57,930
-24
10 Sept 2026, 14:19
57,954
-46
7 Sept 2026, 07:02
58,000
-33
4 Sept 2026, 16:41
58,033
-4
3 Sept 2026, 01:06
58,037
-7
1 Sept 2026, 23:14
58,044
-13
31 Aug 2026, 21:28
58,057
-4
30 Aug 2026, 22:59
58,061
-10
30 Aug 2026, 01:32
58,071
-4
29 Aug 2026, 04:53
58,075
+3
28 Aug 2026, 08:24
58,072
-13
27 Aug 2026, 11:33
58,085
-13
26 Aug 2026, 14:11
58,098
-21
25 Aug 2026, 11:58
58,119
-21
24 Aug 2026, 09:57
58,140
-48
22 Aug 2026, 14:13
58,188
-9
21 Aug 2026, 08:06
58,197
first reading
Engagement
20 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 97 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈2,790
Videos
≈2,290
Links
≈3,970
Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
8m 21s
Average length
31s
Measured directly from 16 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
3,025 reactions across 20 posts, in 31 distinct kinds. The most used accounts for 23.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
711
23.5%
🔥
611
20.2%
😁
314
10.4%
👏
282
9.32%
🤡
253
8.36%
👎
199
6.58%
🤔
189
6.25%
⚡
100
3.31%
💯
92
3.04%
❤
67
2.21%
👌
58
1.92%
😱
45
1.49%
❤🔥
16
0.529%
🤬
14
0.463%
💊
12
0.397%
🙈
12
0.397%
🥴
8
0.264%
👀
7
0.231%
🤣
5
0.165%
🍌
4
0.132%
11 further kinds
26
0.86%
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 3,025 reactions 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 2 June 2026 to 9 June 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
5
across the posts below
Posts paid on
3
of 20 we hold a reading for · 15%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kramola_online. 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 2 June 2026 to 9 June 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.
🤔 Практика искусственного устаревания: стиральной машине сейчас 114 лет, и она всё ещё работает. Она передаётся уже 4 поколения: люди уходят, а она остаётся.
Не зря говорят, что у европейской промышленности дела плохи — в основном потому, что качество у неё слишком хорошее.
Подпишись на Крамолу
Мы в Max
😱 Боевые комары оказались правдой: в рассекреченном документе Пентагона говорится, что США в конце 1950-х тестировали заражённых насекомых как потенциальное биологическое оружие.
В рамках Project Bellwether военные изучали, как заражённые Aedes aegypti могут распространять инфекции через укусы в жарком и пустынном климате. Эти комары переносят денге, жёлтую лихорадку, чикунгунью и вирус Зика.
Дайте мне новую теорию…
🤖 Это новые роботы "Spot" от Boston Dynamics, которые будут использоваться в Далласе во время Чемпионата мира по футболу 2026 года.
Они будут применяться для обеспечения безопасности на местах проведения чемпионата мира в районе Далласа.
В их задачи входят:
- инспекции для обеспечения безопасности периметра территории
- помощь в обращении с подозрительными пакетами или опасными веществами
- общая поддержка патру…
🤖 Роботы и люди бок о бок собирают чай на горных террасах
Гуманоидные роботы поучаствовали в сборе чая на плантациях провинции Фуцзянь на юго-востоке Китая. Это один из первых тестов, где человекоподобные роботы проверяются не в теории, а в настоящем сельском хозяйстве
Подпишись на Крамолу
Мы в Max
🤔 Первый в мире отель, полностью управляемый роботами, откроется в Китае.
В отеле роботы будут задействованы во всех семи ключевых процессах: регистрация, обработка багажа, обслуживание номеров, доставка еды и напитков, уборка, обеспечение безопасности и сопровождение гостей.
Роботы будут работать как единая команда на единой платформе.
Они будут координировать свои действия и принимать решения полностью автономно…
🛩️ Первые пассажиры, воспользовавшиеся услугами биометрической посадки по лицу, вылетели из Пулкова
Поздравляем первопроходцев! Или нет? 👍️/👎️
Подпишись на Крамолу
Мы в Max
🌾 Марсианский ветер
Серия из 126 механических устройств с наклоном по осям X/Y, соединённых с высокими высушенными стеблями травы, созданная художником Дэвидом Боуэном.
Механизмы будут наклоняться, двигаться и колыхаться в соответствии с данными, собранными датчиком ветра ровера Perseverance на Марсе.
Подпишись на Крамолу
Мы в Max
💨 Пухососов выпустили на улицы Москвы — столицу накрыло пухом
Москва буквально утопает в белом одеяле. Но на спасение аллергиков на дороги выпустили некие машинки для сбора пуха. Скептики скажут нейросеть ( и будут правы).
Подпишись на Крамолу
Мы в Max
🫡 Во время выступления президента на ПМЭФ, роботы, которые стояли и внимательно слушали отдали ему честь
"Наша служба и опасна и трудна, и на первый взгляд как будто не видна..."
Подпишись на Крамолу
Мы в Max
🫶 Современные технологии на службе добра: трёхлетний мальчик потерялся ночью в кукурузном поле — нашли за 15 минут с помощью тепловизора на дроне
Подпишись на Крамолу
Мы в Max
🦾 На ПМЭФ произошёл эпичный файт между 2 роботами
Жаль, правда, что такой быстрый финал 🤷♂️
Подпишись на Крамолу
Мы в Max
😁74🔥14🤔8👍7🤡7❤3👌3👏3
Showing the 12 most recent of 20 posts we hold for @kramola_online. 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Крамола” (@kramola_online), 57,885 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/kramola_online.
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.