Other / unclassifiable — 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 19 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
12 measurements spanning 37 days. 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 1,018–1,021 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 07:59
1,019
+1
8 Sept 2026, 04:58
1,018
-1
31 Aug 2026, 01:52
1,019
-2
28 Aug 2026, 11:38
1,021
+2
25 Aug 2026, 07:19
1,019
-2
22 Aug 2026, 15:16
1,021
+2
19 Aug 2026, 11:07
1,019
+1
16 Aug 2026, 08:14
1,018
-2
13 Aug 2026, 03:04
1,020
-1
9 Aug 2026, 22:31
1,021
+2
6 Aug 2026, 13:06
1,019
no change
6 Aug 2026, 05:39
1,019
first reading
Engagement
10 posts held, back to 16 November 2025 — 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 page 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 10 posts for this entry, the most recent from 25 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
185 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 35.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
66
35.7%
❤
44
23.8%
🔥
35
18.9%
👌
8
4.32%
😐
8
4.32%
👏
7
3.78%
💯
6
3.24%
❤🔥
4
2.16%
🤬
3
1.62%
🤔
2
1.08%
😢
1
0.541%
🤨
1
0.541%
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 10 of the 10 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 185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 16 November 2025 to 25 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
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @raveda. 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 10 most recent posts we hold for this entry, published 16 November 2025 to 25 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.
Как-то раз Дмитрий Иванович Менделеев изобрел бездымный пироколлодийный порох. Европейские армии как раз перевооружались, и морское министерство рассудило, что лучше иметь собственную бездымную технологию, чем пользоваться пироксилином, который уже производился на Охтинском пороховом заводе по французской технологии под руководством французов. Тем более, что он годился лишь для некоторых видов орудий, зато часто взры…
Неизвестная глава «Онегина»! Разбор «Евгения Онегина», часть 14 / Егор Яковлев и Дмитрий Пучков
6 июня, в день рождения Александра Сергеевича Пушкина, литературные разборы «Евгения Онегина» возвращаются! Егор Яковлев и Дмитрий Пучков продолжают исследовать главный роман русской литературы. На очереди — глава «Странствие», которую Пушкин исключил из окончательной версии. Что в ней было такого «неблагонадёжного»? И ка…
В данный момент читаю автобиографию писателя Бориса Васильева «Век необычайный», встретил такие мысли:
Собирая материал для романа «Были и небыли», я несколько раз посетил Болгарию. Меня интересовала не только военная кампания, но и само турецкое иго и в особенности его приметы, годные для иных стран, переживших нечто аналогичное, — Греции, Армении, России, если иметь в виду расхожее представление о татаро-монгольск…
Сходил в музей, кое-что в трактовке истории поменялось. Например, Иван Грозный уже не деспот и тиран. Но не всё, конечно, соответствует правильному пониманию.
Один без белых учителей, которые пришли к племенам жёлтой расы (Небесного Дракона) и учили основам цивилизации после последней планетарной катастрофы 13000 лет назад. Светлые иерархи уже понимали на примере Антлани, что соседство двух рас с разным эволюционным числом генетики, может обернуться трагедией. Поэтому стали предпринимать попытки поднятия эволюционного числа генетики других рас передавая им знания. Но и тут…
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❤26👍9🔥4👏3
Showing the 10 most recent of 10 posts we hold for @raveda. 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 1 registered channel — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Наследие Николая Левашова @nikolay_levashov · 23,288 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 18 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“РаВеда — Новые Знания” (@raveda), 1,019 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/raveda.
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.