Channel
@afina_laboratory
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
241subscribers
-1 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001633762527 |
|---|---|
| Type | Channel |
| Username | @afina_laboratory |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/afina_laboratory |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 20:02 | 241 | -1 |
| 22 Aug 2026, 03:36 | 242 | no change |
| 21 Aug 2026, 04:15 | 242 | first reading |
17 posts held, back to 28 January 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 pageof 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 17 posts for this entry, the most recent from 29 June 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 11 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.
273 reactions across 17 posts, in 13 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 105 | 38.5% | |
| 🔥 | 55 | 20.1% | |
| 👏 | 26 | 9.52% | |
| 😍 | 22 | 8.06% | |
| ❤🔥 | 21 | 7.69% | |
| 🥰 | 18 | 6.59% | |
| 👍 | 5 | 1.83% | |
| 💘 | 5 | 1.83% | |
| 😁 | 5 | 1.83% | |
| 🤩 | 5 | 1.83% | |
| 💔 | 3 | 1.10% | |
| ⚡ | 2 | 0.733% | |
| 💯 | 1 | 0.366% |
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 17 of the 17 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 273reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 28 January 2026 to 29 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.
•Рубленые куриные котлеты• Ингредиенты: •Куриное филе - 1 килограмм •Лук - 1 штука (большая) •Желтки - 2 штуки •Майонез - 4 столовые ложки •Мука - 2-3 столовые ложки •Сухой чеснок - 1,5-2 чайной ложки •Аджика - 1/2 чайной ложки •Соль - 1,5 чайной ложки •Перец - 1/2 чайной ложки Приготовление: 1. Нарезаем куриное филе на мелкие кубики 2. Также очень мелко нарезаем лук 3. Далее добавляем майонез + желтки + все специи…
❤6💯1🔥1
•Рулет с яблоками🍎• Ингредиенты: •Яблоки ~ 1 килограмм •Корица - 1,5 чайной ложки •Яйца - 4 штуки •Сахар - 130 грамм •Разрыхлитель - 1/2 чайной ложки •Ванильный сахар - 1 чайная ложка •Соль - щепотка •Растительное масло - 2 столовые ложки •Мука - 120 грамм Приготовление: 1. Натираем яблоки на крупной терке, далее добавляем корицу, перемешиваем 2. Застилаем противень пергаментной бумагой и выкладываем сверху равноме…
😍16❤15👏11
Быстрый яблочный рулет🍎 - идеальный десерт к чаю. Если гости уже на подходе или просто захотелось сладкого, но без долгих хлопот - этот рецепт выручит! Лёгкий, мягкий, с ароматной яблочной начинкой… исчезает со стола мгновенно! Пока выпекается - аромат на весь дом 🤍 Сохрани, чтобы не потерять и попробовать как можно скорее.✨
👏15🥰13❤5
•Печенье «брауни» с кофейно-сливочной начинкой🍪• Ингредиенты: Тесто: •Мука - 300 грамм •Какао - 60 грамм •Разрыхлитель - 1 чайная ложка •Сахар - 180 грамм •Соль - щепотка •Сливочное масло - 200 грамм •Яйца - 2 штуки Начинка: •Молоко - 10 миллилитров •Растворимый кофе - 3 грамма •Творожный сыр - 160 грамм •Сахар - 30 грамм Для обсыпки: •Сахар - 3-4 столовые ложки •Какао - 0,5 чайной ложки Приготовление: Начинка: 1…
❤12🥰5👍4
Возвращаюсь снова к любимому делу… и сразу с такого роскошного рецепта🦋 Печенье «брауни» с кофейно-сливочной начинкой☕ Это не просто десерт - это маленькая зависимость с первого укуса. Снаружи - насыщенное шоколадное печенье с текстурой настоящего брауни. Внутри - нежная кофейно-сливочная начинка, которая буквально тает во рту и раскрывается деликатным вкусом без горчинки - только сливочная сладость с лёгким кофей…
🔥12❤10❤🔥1
Разбавляю контент😂
❤10😁5💔3❤🔥1
•Наполеон🧈• Ингредиенты: (30*30) Тесто: •Сливочное масло - 275 грамм •Мука - 450 грамм •Сметана - 200 грамм •Яйцо - 2 штуки Крем: •Молоко - 420 миллилитров •Сахар - 100 грамм •Ваниль - 8 грамм •Кукурузный крахмал - 18 грамм •Мука - 18 грамм •Желток - 60 грамм •Сливочное масло - 350 грамм •Сгущенное молоко - 1 банка •Соль - щепотка Приготовление: Тесто: 1. Масло и муку крошим на терке, далее добавляем яйца + сметан…
🔥11❤9❤🔥1
«Наполеон» - вкус, который не стареет💛 Есть торты модные, есть эффектные, а есть вечные. И «Наполеон» - именно такой. Хрустящие слои, нежный заварной крем, крошка сверху - ничего лишнего. Но именно в этой простоте и есть магия. Для моих родителей этот торт - настоящая машина времени, это больше, чем просто десерт. Стоит попробовать кусочек - и они уже не взрослые люди, а дети, которые ждут праздника, заглядывают н…
❤🔥10💘1🔥1
Чисто моя семья 1:1😂
🤩5❤1❤🔥1
Немного закулисья✨ Скоро вас будет ждать новое видео и рецепт самого вкусного «Наполеона»🍰. Один раз попробуешь - и всё, больше остановиться невозможно🤫
🔥14
Такой красивый результат получился у ребят на 14 февраля с использованием набора «Сам себе кондитер»🤭
🔥7💘4
Набор «Сам себе кондитер»👩🏻🍳: •это больше, чем просто коробка для приготовления торта. Это возможность вновь собраться вместе с друзьями, любимыми и детьми, почувствовать себя настоящими кондитерами и создать сладкий шедевр своими руками. Немного крема, щепотка фантазии - и ваш торт мечты готов! •Творите, смейтесь, украшайте и превращайте обычный день в тёплое воспоминание🫂 и яркое сладкое приключение. В наборе «…
🔥6❤4👍1
Showing the 12 most recent of 17 posts we hold for @afina_laboratory. 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.
Citation-graph rank — 399,742 of 1,626,935entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“afina.laboratory” (@afina_laboratory), 241 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/afina_laboratory.
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.