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 25 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
4 measurements spanning 41 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 161–167 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 05:15
162
-2
25 Aug 2026, 02:03
164
-2
9 Aug 2026, 16:03
166
no change
8 Aug 2026, 16:46
166
first reading
Engagement
10 posts held, back to 21 April 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 10 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
51s
Average length
51s
Measured directly from 1 video 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
132 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 45.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
60
45.5%
🔥
22
16.7%
🥰
19
14.4%
❤🔥
15
11.4%
👀
8
6.06%
😁
3
2.27%
👌
2
1.52%
🍾
1
0.758%
👏
1
0.758%
🤗
1
0.758%
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 132 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 21 April 2026 to 29 July 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 @kookooha. 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 21 April 2026 to 29 July 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.
Если я буду ждать лучшего времени, лучшего настроения, более спокойной обстановки, то никогда наверное не расскажу!
Спустя 10 лет я получила свой второй диплом, но теперь уже магистра! Оба диплома выданы в один день с разницей в 10 лет.
Я рада, что сделала это. Столько сил и нервов было вложено.
Совмещать работу и учиться сложно конечно. А еще и жизнь свою личную.
Подготовка и защита диплома потрепала нервишки и …
✨Эстафета Pinterest ✨
Приняла эстафету у https: ost_fanfomanka
Она мне давненько ее уже передала, а я со своими дипломами/болезнями/морями/упадками сил чуть всё не пропустила!
Чтобы сделать такую свою эстетику, нужно по очереди вбить запросы в Pinterest
Первая картинка и будет вашим изображением
Запросы:
✨книжное животное
✨книжное место
✨книжное растение
✨книжный персонаж
✨книжный цвет
✨книжное хобби
✨книжная еда
…
Если бы не договоренность с Аленой на публикацию постов в тг и вк, дай бог вы бы меня увидели еще через триста лет.
Спасибо, дорогие мои, за комментарии. Всё вижу, на всё отвечу. Спасибо, что ждёте.
Социальная батарейка села в ноль, силы тоже пока не поднакопила после защиты. Даже заболела, но я уже почти огурец💪💪💪
Открытие месяца и лучшая книга июня!
Раз уж мне захотелось ее купить в бумаге, то нарекаю ее лучшей книгой июня! #читаемскукухой
Алёна Селютина меня поразила) А все началось с моих коллег амбассадоров #книжныйвызов
Они начали говорить об авторе и книгах, и я не устояла.
Эта оказалась второй, которую я прочитала. И все...)
Сказочные персонажи, любовь, тайны. Все как я люблю.
Мне очень зашло чувство Юмора Алёны и т…
Вы посмотрите, где вашу Кукуху показывают!!!))🤩
У Алены Tviti вышел пост с книгой мая, и мой отзыв туда попал.
До сих пор поверить не могу, что была подписана на Алёну, а теперь я у нее в блоге.
Что делает амбассадорство LiveLib))) Чудеса! Мы с ней вместе амбассадорим!
#книжныйвызов
Мы вместе с амбассадорами LiveLib собрали подборку лучших книг Мая 💙
Читайте отзывы и делитесь в комментариях, что уже успели прочитать или только планируете добавить в свой список. А может вам и вовсе не понравилась книга из нашего списка?
🤩❤️🔥 Подполье Валерии 🌺
🩸Кровь и мёд, Шелби Махёрин 🍯
🤩Книжный чайник
"Пригород" Лора Кейли
🤩 Рукописи не горят
«Джейн Эйр»
Шарлотта Бронте
🤩ost_fanfomanka
"Сфера" Дэйв Эгге…
В конце января 2025 года я устроила себе челлендж #читаемскукухоймир
Я решила пройтись по списку стран и почитать несколько книг разных авторов, чтобы познакомиться с литературой страны получше.
В рамках челленджа я познакомилась с Чингизом Абдуллаевым #Азербайджан
Я увлеклась его серией книг про спецагента Дронго. И мне случайно попалась его книга "Альтернатива для грешников".
Она стала лучшей книгой прочитанной…
Привет, господа!
Я к вам не на долго, но по делу. Надеюсь вернусь полноценно, когда разберусь с учебой.
Мне очень нужна ваша помощь в исследовании. Как это обычно бывает чем быстрее, тем лучше!🙏
Сейчас я пишу Выпускную Квалификационную Работу в Магистратуре и, чтобы всё получилось, мне нужны ваши ответы.
Собрала опросники в одну форму https://forms.yandex.ru/u/6a070fc395add5318c419b75
❗️Общее время прохождения мин…
Это я так долго не заходила, что у меня уже отложки начали публиковаться😁😁😁👆
Несколько раз тыкала, но рекомендации плюс минус одинаковыми были)
Чуть позже опубликую дайджест новостей)))))
Showing the 10 most recent of 10 posts we hold for @kookooha. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
“Кукуха” (@kookooha), 162 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/kookooha.
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.