Channel

Имперский взгляд

@empire_look

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

834subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001373004161
Type	Channel
Username	@empire_look
Created	28 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded	7 August 2026
Last confirmed live	13 September 2026
Measurements held	7
Confirmed unchanged	1 time, most recently 13 September 2026
On Telegram	t.me/empire_look

Topic

Technology — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

7 measurements spanning 38 days, net -4. 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 833–843 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
13 Sept 2026, 16:36	834	-2
6 Sept 2026, 18:40	836	-2
28 Aug 2026, 07:44	838	-3
20 Aug 2026, 12:12	841	-1
14 Aug 2026, 13:05	842	+4
7 Aug 2026, 04:12	838	no change
7 Aug 2026, 02:16	838	first reading

Engagement

19 posts held, back to 29 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 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 19 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

20 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 55.0% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
🔥	11	55.0%
❤	4	20.0%
👍	3	15.0%
👎	2	10.0%

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 8 of the 19 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 29 July 2026 to 4 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.

Recent posts

4 Aug 2026, 10:29 UTC64 viewsread 7 August 2026

Forwarded from @dimsmirnov175Photo

«Библиотекари проводят мастер-классы «Как избежать ИИ» для людей, которым надоели техногиганты»: В Америке начался ажиотаж по отключению ИИ-функций на гаджетах. «В библиотеках США набирают популярность бесплатные мастер-классы «Избегая ИИ», где посетителей учат отключать навязанные ИИ-функции вроде Apple Intelligence и Google Gemini. Библиотекарь из Южной Филадельфии Чарли Бейли объясняет участникам, как работают ча…