Telegram RegisterThe public register of Telegram

Channel

Записки тревожного клуба 🦋| Анна Сибирякова

@wayofastro

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

487subscribers

+0 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-1001759348788
TypeChannel
Username@wayofastro
DescriptionПсихолог для уставших и тревожных😊 Помогаю: • Снизить тревогу • Принять неидеальность • Найти опору в себе Методы КПТ + мудрость стоиков + личный опыт 📚Обучение: @zapiski_diploma 📲Консультации: @anna_sibiryakova
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/wayofastro

Growth

4877 Aug 2026, 09:25 — 487 subscribers8 Aug 2026, 04:31 — 487 subscribers7 Aug 2026, 09:258 Aug 2026, 04:31
2 measurements taken within a single day. 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 486–488 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 04:31487no change
7 Aug 2026, 09:25487first reading

Engagement

17 posts held, back to 2 March 2026the 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
10.9%
avg views ÷ 487 subscribers
Avg views / post
53.0
3 posts measured
Reaction rate
17.6%
reactions ÷ views · ER floor
Posts in window
3
of 17 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 August 2026
Posts held17 (2 March 20262 August 2026)
Views total159
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:31 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

Photos
740
Videos
67
Links
127

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
46s
Average length
23s

Measured directly from 2 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.

Reaction mix

200 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 59.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11959.5%
👍189.00%
💯136.50%
custom 5386743189459709311126.00%
🍾115.50%
custom 544261673254598362484.00%
73.50%
52.50%
🤝42.00%
🎉31.50%

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 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 200reactions 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 2 March 2026 to 2 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

2 Aug 2026, 16:50 UTC33 views7 reactionsread 8 August 2026
Video

Разбавим интеллектуальный контент, пожалуй 😁 Вы же помните о главном правиле прохождения любой непонятной ситуации?

custom 544261673254598362452

30 Jul 2026, 12:28 UTC57 views6 reactionsread 8 August 2026
Photo

Еще немного про книги 📕 Как там ваш список книг на лето?) Мой - всё пухнет. Есть, однако, книги, закончить которые я никак не могу. Например, «Диалектический материализм» Корнфорта - читаю его уже третий год. Пока осилила лишь чуть больше половины. Получается закончу году к 2029? И вот, кажется, в руки мне попалась еще одна книга читать которую я буду доооолго - Жан Бодрийяр «Общество потребления». Значит ли это,

5👍1

22 Jul 2026, 13:36 UTC69 views15 reactionsread 8 August 2026
Photo

Неожиданный сертификат в копилку 😏

10👍3custom 53867431894597093112

13 Jul 2026, 11:10 UTC94 views17 reactionsread 8 August 2026
Photo

В конце мая была очень теплая ночь. Я не спала почти до утра. Я лежала и продумывала, что могу сделать в ситуации, которой не управляю. — Как защитить ребенка? — Чем и как закрыть окно, чтобы осколки не залетели? — Чем и как укрыть дочь так, чтобы в случае завала она была защищена, но при этом у неё осталась возможность дышать, пока кто-то её не спасёт? Потому что до этой ночи в моём регионе подобных атак не было.

14👍2custom 53867431894597093111

8 Jun 2026, 19:45 UTC131 views17 reactionsread 8 August 2026
Photo

Куда пропала? Закопалась в реальной жизни и, если честно, совсем потеряла интерес к жизни виртуальной… Тут оказывается, как с алкоголем, чем меньше пьешь, тем меньше хочется 😏 Через месяц сессия. А до нее еще надо написать план будущей магистерской. Через две недели экзамен в гаи. А до него надо хотя бы выучить теорию, потому что пока табличка «не сдан» в моем приложении с билетами, появляется чаще, чем «сдан».

14custom 54426167325459836242custom 53867431894597093111

10 May 2026, 06:27 UTC182 views8 reactionsread 8 August 2026

Уже не в первый раз я вспоминаю на этом канале книгу «Обыкновенные убийцы», оставив противный вкус ужаса и отвращения, она возвращается ко мне флешбеками и через год после прочтения. Закончить ее к 9 мая вы уже не успеете 😏, но точно уложитесь к 22 июня. Книга изменит ваши представления о «прививки от фашизма» и, возможно, по-новому задаст вопросы: «Никто не забыт? Ничто не забыто?»

💯43custom 53867431894597093111

27 Mar 2026, 12:54 UTC306 views14 reactionsread 8 August 2026
Video

А вы хихикаете, когда я вам говорю, что в любой непонятной ситуации надо идти качать ж😏пу Психолог за много денег говорит то же самое 👌 (А я всего за косарь 😅, кстати записывайтесь)

65💯2custom 53867431894597093111

25 Mar 2026, 14:33 UTC257 views12 reactionsread 8 August 2026
Photo

Выбрала тему для будущей магистерской 👌✌️ Мне кажется она не только интересной, но и очень актуальной. Вообще есть ощущение, что тема толерантности к неопределенности очень «трендовая» 😏 А если хорошо пойдет может еще и книжку напишу по результатам 😁

10👍1custom 53867431894597093111

21 Mar 2026, 13:55 UTC241 views13 reactionsread 8 August 2026
Photo

— Чем же все это окончится? — Будет апрель. — Будет апрель, вы уверены? — Да, я уверен. Я уже слышал, и слух этот мною проверен, будто бы в роще сегодня звенела свирель.

11👍1custom 53867431894597093111

20 Mar 2026, 10:17 UTC182 views10 reactionsread 8 August 2026

«Зачем нам вы?» О том, как депутаты учат нас бояться Андрей Свинцов, зампред комитета по информполитике, решил объяснить, почему блокировки соцсетей — это во благо. Его аргументация проста: если замедляют YouTube и WhatsApp, люди, конечно, «бунтуют и негодуют», но зато — безопасность. Граждане, по его мнению, скоро сами скажут: «Да пропади этот интернет, я не хочу, чтобы меня взрывали». Звучит забавно. Кто вообще

6💯3custom 53867431894597093111

16 Mar 2026, 10:48 UTC155 views17 reactionsread 8 August 2026
Photo

Знаете какой вопрос мне задают на улице чаще всего? - Мальчик?

65🍾4custom 53867431894597093111custom 54426167325459836241

12 Mar 2026, 10:48 UTC158 views13 reactionsread 8 August 2026

Знаете, я поняла, что у меня последние дни где-то фоном в голове постоянно звучит голос…голос из мема: «мне уже этот мир абсолютно понятен, и я здесь ищу только одного…»

5🎉3👍3🤝2

Showing the 12 most recent of 17 posts we hold for @wayofastro. 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 — 1,002,534 of 1,336,469entries 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.

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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Записки тревожного клуба 🦋| Анна Сибирякова” (@wayofastro), 487 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/wayofastro.

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.