Да и спустя 25 лет тоже, доктор Картер-Робинович. ER, s4e11
💔13❤6💋2

Channel
@betteraskanya
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,677subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001107345058 |
|---|---|
| Type | Channel |
| Username | @betteraskanya |
| Created | 19 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/betteraskanya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 03:53 | 1,677 | -1 |
| 12 Aug 2026, 12:55 | 1,678 | -1 |
| 9 Aug 2026, 23:35 | 1,679 | -1 |
| 6 Aug 2026, 18:13 | 1,680 | +1 |
| 6 Aug 2026, 07:17 | 1,679 | no change |
| 6 Aug 2026, 02:27 | 1,679 | first reading |
14 posts held, back to 30 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 2 pagesof 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 26 July 2026 |
|---|---|
| Posts held | 14 (30 January 2026 – 26 July 2026) |
| Views total | 452 |
| Reactions total | 21 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:44 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.
341 reactions across 14 posts, in 15 distinct kinds. The most used accounts for 54.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 186 | 54.5% | |
| 🥰 | 33 | 9.68% | |
| 😁 | 24 | 7.04% | |
| 💯 | 20 | 5.87% | |
| 🙏 | 16 | 4.69% | |
| 💔 | 13 | 3.81% | |
| 🤯 | 13 | 3.81% | |
| 🔥 | 11 | 3.23% | |
| 😭 | 7 | 2.05% | |
| 💋 | 5 | 1.47% | |
| 😍 | 5 | 1.47% | |
| 👎 | 3 | 0.88% | |
| 👌 | 2 | 0.587% | |
| 🫡 | 2 | 0.587% | |
| ✍ | 1 | 0.293% |
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 14 of the 14 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 341reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 30 January 2026 to 26 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.
Да и спустя 25 лет тоже, доктор Картер-Робинович. ER, s4e11
💔13❤6💋2
И пока еще хайп не совсем утих, ко второму (у The Vampire Lestat 100% томатный рейтинг) лучшему шоу этого года — Widow’s Bay. Сериал от «той девушки из твита про Бабадука» — непривычное сочетание хоррора и комедии, но не как в «Реальных упырях» или «Очень страшном кино», а действительно жути и очень смешных комедийных скетчей. Про несчастного мэра городка на острове в Новой Англии, пытающегося поднять экономику с п…
❤20🥰7💋3👎1😁1🙏1
Когда-то я не верила, что сериал Interview with the Vampire может получиться хорошим. И при первом просмотре двух сезонов в какие-то моменты мне действительно было скучновато. Но тем не менее, я не могла перестать о нем думать. Все-таки по сравнению с фильмом герои гораздо интереснее, события раскрыты лучше. Была проделана работа, короче, а Лестат прописался в моей голове. Но кто бы мог подумать, что третий сезон бу…
❤21🤯5👌2😍2🙏1
После первых пары-тройки серий постоянных, но пустых скримеров и напряженных моментов показалось, что было бы круто, если бы Something Very Bad Is Going to Happen закончился тем, что все эти страшные события просто у героини в голове. И на самом деле, ничего very bad is not going to happen. Но увы. А еще я была бы очень рада, если бы молодые актрисы перестали жевать слова.
❤9😭7🙏4
Давно хочу написать, что сериальная экранизация Lord of the Flies мне понравилась. Слава богу, ее снял Джек Торн, у которого за плечами Skins, This is England и Adolescence. Мальчики-актеры прям молодцы. Цветокор должен бы меня бесить, но не бесит. Драмы и напряжения навалено хорошо. Ко всему прочему, саундтрек от Кристобала, как обычно, радует. Но повторять всех киноблоггеров в интернете я не хочу. Поэтому особен…
🔥10❤4🙏3
Гигантские модели OnlyFans, наводящие ужас и трепет на город, появились в двух эпизодах сериалов с разницей в 5 дней, как отличная иллюстрация нашего коллективного бессознательного. Margo's Got Money Troubles Euphoria S3
😁13🥰10💯3🙏2❤1👎1
Мне очень понравился DTF St. Louis, но я не могу найти в себе слова, чтобы описать его. Мы давно вступили в эпоху нового кино с перекроенной динамикой, в правильных местах щекочущей наш мозг. А структурировать и изложить мне все впечатления недостаток писательского разума не позволяет. Поэтому держите репост прекрасной. И подписывайтесь, кстати, Ксюша супер.
🥰13❤7🔥1
Второй сезон BEEF какой-то не биф, а чикен. Тему взяли из The White Lotus, даже заставки в том же стиле. Припорошили надоевшим нетфликсовским визуалом, добавили какой-то клоунады в финале. Не знаю, короче. Кэрри Маллиган и Оскар Айзек классно ругались, нарочито терапевтические разговоры зумеров забавно высмеивали, но в целом этот сезон потерял уникальность первого практически полностью. Жаль!
❤7💯2🫡2
Если кто-то знает, откуда Хлоя Чжао и Маша Шилински взяли сцену с POV смерти, на которую смотрит ребенок, поделитесь, пожалуйста. Hamnet, 2025 dir. Chloe Zhao Sound of Falling, 2025 dir. Mascha Schilinski
❤8🤯3
The World to Come, 2020 dir. Mona Fastvold
❤7🙏3✍1
Отдельно отмечу, что один из плюсов сериала — многогранные герои с разными характерами и прошлым. Но, к сожалению, я не могу себя остановить от чтения комментариев к сериям, и те, что из 2025, такие же, как я, пришедшие из Питта, явно пишут их, чтобы я себе выколола глаза. К каждому эпизоду обязательно есть комментарий о том, как человек ненавидит какого-либо героя, который здесь немного повел себя некрасиво. “I hat…
❤22💯8🙏1
Совершила роковую ошибку, начав смотреть второй сезон The Pitt по мере выхода серий. Каждый следующий эпизод просто невозможно ждать неделю. Третий точно так постараюсь не смотреть. Проводя в мучениях каждые день недели, кроме воскресенья, включила ER. Та же постоянная беготня, спасения жизней за минуту, какие-то вечные терки между сотрудниками, плюс несравненный вайб 90-х в эпилептической нарезке мутных кадров неп…
❤20🥰3😍3👎1🙏1
Showing the 12 most recent of 14 posts we hold for @betteraskanya. 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 — 1,096,085 of 1,481,217entries 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.
Named by 2 registered channels — 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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Better ask Anya” (@betteraskanya), 1,677 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/betteraskanya.
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.