Как же я люблю первые холода🫂🫧 Завтрак: Зерненый творог, голубика, чиа. 🐦⬛🐦⬛🐦⬛
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Channel
@laktionovaaaaa
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
53,703subscribers
-760 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001521620229 |
|---|---|
| Type | Channel |
| Username | @laktionovaaaaa |
| Description | Канал о бережной заботе о себе🫂 • YouTube: https://youtube.com/c/KRISTINASBLOG • ВК: https://vk.com/kristina.laktionova • MAX: https://max.ru/laktionovaaaaa 💌 Связаться: @cooperation22kr РКН: https://www.gosuslugi.ru/snet/67b2ff8b2ed5ff6ad7e1c828 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/laktionovaaaaa |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 16:18 | 53,703 | -14 |
| 17 Sept 2026, 06:55 | 53,717 | -19 |
| 15 Sept 2026, 05:18 | 53,736 | -70 |
| 13 Sept 2026, 13:01 | 53,806 | -32 |
| 11 Sept 2026, 17:58 | 53,838 | -43 |
| 9 Sept 2026, 05:41 | 53,881 | -66 |
| 6 Sept 2026, 01:15 | 53,947 | -33 |
| 4 Sept 2026, 00:57 | 53,980 | -36 |
| 2 Sept 2026, 14:08 | 54,016 | -30 |
| 1 Sept 2026, 12:24 | 54,046 | -32 |
| 31 Aug 2026, 13:26 | 54,078 | -50 |
| 30 Aug 2026, 11:18 | 54,128 | -3 |
| 29 Aug 2026, 09:05 | 54,131 | -19 |
| 28 Aug 2026, 06:34 | 54,150 | -1 |
| 27 Aug 2026, 05:37 | 54,151 | -3 |
| 26 Aug 2026, 04:04 | 54,154 | -18 |
| 25 Aug 2026, 04:38 | 54,172 | -31 |
| 24 Aug 2026, 00:33 | 54,203 | -9 |
| 22 Aug 2026, 09:53 | 54,212 | -23 |
| 20 Aug 2026, 22:25 | 54,235 | first reading |
61 posts held, back to 30 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 108 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 61 (30 July 2026 – 24 September 2026) |
| Views total | 480,450 |
| Reactions total | 27,511 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 19:05 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 24 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.
Measured directly from 3 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.
62,358 reactions across 61 posts, in 3 distinct kinds. The most used accounts for 78.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 49,229 | 78.9% | |
| custom 6032692419508571454 | 6,896 | 11.1% | |
| custom 5363983084016377517 | 6,233 | 10.00% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 61 of the 61 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 62,358 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 30 July 2026 to 24 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @laktionovaaaaa. 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 61 most recent posts we hold for this entry, published 30 July 2026 to 24 September 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 же я люблю первые холода🫂🫧 Завтрак: Зерненый творог, голубика, чиа. 🐦⬛🐦⬛🐦⬛
❤770custom 6032692419508571454121custom 536398308401637751758
🧿🧿Год назад я впервые столкнулась с кризисом четверти жизни. Период с 24 до 30 лет один из самых интересных этапов взросления, на самом деле. До этого жизнь довольно долго существует по некой инструкции: школа, университет, учёба, первая работа, понятные следующие шаги. А потом эта инструкция обрывается. И взрослая жизнь оказывается не моментом, когда ты наконец знаешь, как правильно. Наоборот, тебе больше никто н…
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Кажется, мы стали забывать🫂 Редкий и обнимательный пост нытья! Ноем, жалуемся, поддерживаем и не осуждаем. 🌫️🌫️ 🌫️🌫️ 🌫️🌫️ 🌫️🌫️
❤844custom 5363983084016377517130custom 603269241950857145494
Раз и два! Такое субботнее утро😒 Кто-то тут советовал глянуть «Сообщения для Изабель» Главная героиня по имени Джилл тяжело переживает смерть своей младшей сестры Изабель. Пытаясь справиться с горем, она продолжает отправлять на старый номер сестры искренние, смешные и полные боли голосовые сообщения. По идее, добрый ромком:) Показывайте свои утры🫂
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📖📖📖Мои самые используемые приложения за последний год для выстраивания рутины. 🌫️Sleep cycle Телефон сам анализирует сон по звукам, записывает любые разговоры/шумы и может будить в более лёгкой фазе сна. 🌫️Alhime Очень приятные медитации и практики на дыхание. 🌫️Daylio Отмечаешь состояние за несколько секунд, а потом замечаешь взаимосвязи между настроением и тем, что происходило в течение дня. 🌫️Bend Небольшие ко…
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У меня несколько недель сидит в голове навязчивая идея про зимовку где-то на острове/в небольшом городе с медленным ритмом (в целом, локация не особо важна, так как первоначальный фактор для меня климат) но я очень очень не хочу ехать одна. Поэтому: Если вдруг есть желающие на 3-4 месяца укатить куда-то - давайте реализовывать!🫂
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Может есть тут у меня девчонки которые живут на Мадейре?🤍
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Приятного просмотра!😻 😔POV: я год выстраивала режим дня и вот что это этого вышло 📎Проводим день вместе, а заодно делюсь тем, что за последний год действительно помогло мне улучшить самочувствие, а что оказалось совершенно бесполезным. https://youtu.be/YIH7CBr7Xuo
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📷📷// сегодня увидимся!
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Я очень близка к тому чтобы сделать отдельный канал с комментариями на большой теннис и формулу😹 Сегодня ночью с ума сходила от матча Соболенко, теперь от формулы. 🤩
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5 минут до заезда!! Скрещиваю пальцы за Кимусю🧿
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Вы🤍 ▫️
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Showing the 12 most recent of 61 posts we hold for @laktionovaaaaa. 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.
@laktionovaaaaa edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 77 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Kristina Laktionova” (@laktionovaaaaa), 53,703 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/laktionovaaaaa.
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.