Personal blog — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
15 measurements spanning 61 days, net -53. 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 2,002–2,071 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 00:39
2,010
-5
30 Sept 2026, 06:56
2,015
-2
19 Sept 2026, 17:02
2,017
-7
15 Sept 2026, 03:37
2,024
-3
11 Sept 2026, 17:19
2,027
-2
6 Sept 2026, 17:38
2,029
-2
2 Sept 2026, 15:37
2,031
-7
30 Aug 2026, 16:03
2,038
-3
27 Aug 2026, 15:07
2,041
-4
20 Aug 2026, 22:13
2,045
-4
17 Aug 2026, 22:52
2,049
-4
14 Aug 2026, 21:29
2,053
-5
11 Aug 2026, 11:57
2,058
-5
7 Aug 2026, 14:48
2,063
no change
7 Aug 2026, 12:38
2,063
first reading
Engagement
4 posts held, back to 24 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 4 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
38 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 71.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
71.1%
🔥
8
21.1%
💅
3
7.89%
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 4 of the 4 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 24 July 2026 to 6 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.
Интересно, у всех есть какие-то свои странности, связанные с одеждой или внешним видом?
У меня точно есть.
Во-первых, я очень люблю переодеваться. Если есть возможность, за день могу переодеться 2-3 раза. И самое удивительное, что если такой возможности нет, я начинаю немного нервничать.
Во-вторых, я очень не люблю носить одну и ту же обувь два дня подряд. Поэтому меня практически невозможно встретить в одной и то…
Недавно мне попалась мысль, которая сначала показалась забавной, а потом я поняла, что она довольно точная:
Искусственный интеллект делает с творчеством примерно то же, что полиэстер когда-то сделал с модой.
Сразу скажу: ни против полиэстера, ни против ИИ я ничего не имею. В разумных количествах оба могут быть очень полезны.
Немного синтетики помогает вещи держать форму и меньше мяться. ИИ помогает собрать мысли, …
Сегодня, как и обещала, распродажная терапия для мужчин.
И вот тут, признаюсь, пришлось поработать чуть усерднее. Потому что мужских вещей как будто в принципе существует меньше. Хороших мужских вещей еще меньше. А хороших, актуальных и со скидкой приходится буквально добывать 😄
Но я добыла.
Собрала небольшую подборку вещей, которые, на мой взгляд, совершенно спокойно впишутся практически в любой мужской гардероб.…
Сезон распродаж сейчас в самом разгаре, а значит, уровень самоконтроля у многих из нас проходит серьезную проверку 😄
Потому что скидка в 50% и более почему-то мгновенно превращает вещь, о существовании которой ты еще вчера даже не подозревала, в абсолютно необходимую )
Поэтому сегодня не буду призывать вас «покупать осознанно». Наоборот, покажу, что купила бы на распродажах сама.
Причем я выбирала не просто базу н…
❤4🔥2
Showing the 4 most recent of 4 posts we hold for @kate_update2024. 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.
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.
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.
Про Проекты и карьеру в ИТ | Романова @proProject1 · 37,913 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 1 September 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях @kireeva_science · 20,879 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 25 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“Kate Update” (@kate_update2024), 2,010 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/kate_update2024.
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.