Как в эти дни ваша голова? Сейчас очень многие жалуются, что эти дни их просто плющит. Жара да, но как будто дело в другом, даже таблетки от головной боли не помогают. Просто стабильно плохо и так несколько дней. Когда начинает болеть голова, надо сразу проверять следующие параметры: 1. Что у вас с давлением? 2. Что с давлением атмосферным? 3. Что с магнитными бурями? (Да, они больше влияют на приборы, но особо…

Channel
Анна Слип. Психолог-Нутрициолог
@Anna_Slip_Love
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
428subscribers
-1 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 | -1001636801414 |
|---|---|
| Type | Channel |
| Username | @Anna_Slip_Love |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/Anna_Slip_Love |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 06:57 | 428 | +1 |
| 20 Aug 2026, 21:58 | 427 | -1 |
| 14 Aug 2026, 21:55 | 428 | -1 |
| 8 Aug 2026, 05:18 | 429 | no change |
| 7 Aug 2026, 09:04 | 429 | first reading |
Engagement
7 posts held, back to 22 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.5%
- avg views ÷ 428 subscribers
- Avg views / post
- 66.3
- 3 posts measured
- Reaction rate
- 13.6%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 7 held
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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 7 (22 July 2026 – 7 August 2026) |
| Views total | 199 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:18 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.
What this channel posts
- Video runtime
- 44s
- Average length
- 44s
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
97 reactions across 6 posts, in 9 distinct kinds. The most used accounts for 34.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 33 | 34.0% | |
| ❤ | 24 | 24.7% | |
| ❤🔥 | 17 | 17.5% | |
| custom 5465558175803533406 | 9 | 9.28% | |
| custom 5465666202820963440 | 5 | 5.15% | |
| 😍 | 4 | 4.12% | |
| 🍾 | 2 | 2.06% | |
| 👏 | 2 | 2.06% | |
| 😘 | 1 | 1.03% |
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 areTelegram’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 6 of the 7 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 97reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 22 July 2026 to 7 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
Body make Я люблю пробовать разный спорт и вообще активность. Если не пробовать, то как вообще узнать, что нравится телу, где укреплять слабое и усиливать сильное? Сегодня была на занятиях Body make, где просто выжимают людей. Была впервые. Это очень интенсивно, очень быстро и много нагрузки, разной. Я вышла мокрая насквозь, но очень собой довольна. Технику знаю, грамотно выполняю упражнения и очень быстро встр…
❤6🔥5❤🔥1👏1custom 54656662028209634401
Ну а зелёная спаржа? Продолжая эту тему. Это самый настоящий овощ, который тоже не очень-то и спаржа, а Аспарагус 😎 (чувствуете, как подул ветерок стати и важности, да?😄). И это не просто так: растение очень древнее. И раньше его вообще считали чудом природы. По современному - супер фуд. Кому интересно - я нашла немного Истории. Для расширения кругозора. ▪️▪️▪️ ▪️Считается, что спаржа была известна еще 3000 лет…
🔥5😍2custom 54655581758035334062
Как выбрать спелое, но не гнилое авокадо 🤩 Этот лайфхак работает, если авокадо не упаковано. Поднять хвостик и взглянуть на цвет мякоти. И всё сразу становится ясно. Ну и прощупать аккуратно на мягкость. Если сердце каменное - нам такой хоккей не нужен ✋ А вот чтобы авокадо доспел, надо его держать в тепле, рядом с бананом, яблоком или томатами. Они выделяют газ этилен, зреют себя и соседей заодно 🤩 Вот такие …
🔥7custom 54655581758035334065❤3
Я эксперт в Летуаль Новое достижение и теперь я пишу для Летуаль 🍾 Столько лет я покупаю косметику в этом магазине. Столько лет моя мама покупает косметику в этом магазине. И теперь уже моя дочь покупает косметику в этом магазине. Я считаю, что это веский повод начать с ними работать. Наш союз проверен десятилетиями и тушью для ресниц. Уже вышло 2 мои статьи: ◾️ Диета для ленивых (мне было интересно разбирать …
❤🔥10❤4🔥3🍾2😍2👏1
Спаржа белая, азиатская, как на фото - это, конечно, не овощ. Когда я пошла изучать этот вопрос (давно хотела, но повода не было 😉) - я была в шоке 😂 Это настоящий вау эффект 😜 Оказывается, это пенка, снятая с соевого молока. Представляете? В Китае и Корее этот продукт зовут фучжу (фупи). А в английском языке это tofu skin, или кожа тофу. В России мы гордо именуем этот продукт - спаржей. Вообще не понятно почем…
🔥13❤2custom 54655581758035334062😘1
Картинки этого дня 🫶 В начале мы поехали красивые в наше любимое место вкусно поесть, послушать живую музыку и поднять бокалы за мое достижение в СМИ. Моя семья, как никто другой, видела и знает, как непросто делать такие вещи. И без их поддержки и помощи мне было бы в разы сложнее. После поехали в кино. "История игрушек" - это наша традиция, смотрим все части. (Из всех 5 частей эта самая слабая и, ну ёлки палки,…
❤9❤🔥6custom 54656662028209634404
Showing the 7 most recent of 7 posts we hold for @Anna_Slip_Love. 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
Citation-graph rank — 1,140,528 of 1,624,904entries 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.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Анна Слип. Психолог-Нутрициолог” (@Anna_Slip_Love), 428 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/Anna_Slip_Love.
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.