Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Growth
54 measurements spanning 84 days, net -557. 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 24,106–24,831 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
30 Oct 2026, 15:06
24,190
-4
29 Oct 2026, 17:10
24,194
-16
28 Oct 2026, 17:36
24,210
-11
27 Oct 2026, 19:58
24,221
-16
26 Oct 2026, 18:39
24,237
-24
25 Oct 2026, 16:48
24,261
-20
24 Oct 2026, 17:28
24,281
+17
23 Oct 2026, 17:37
24,264
+3
22 Oct 2026, 19:47
24,261
-3
21 Oct 2026, 13:19
24,264
-5
20 Oct 2026, 12:36
24,269
-3
19 Oct 2026, 09:09
24,272
-4
18 Oct 2026, 10:15
24,276
-7
17 Oct 2026, 11:44
24,283
-2
15 Oct 2026, 13:37
24,285
+3
14 Oct 2026, 10:50
24,282
+9
12 Oct 2026, 21:49
24,273
-22
8 Oct 2026, 13:00
24,295
-5
4 Oct 2026, 01:02
24,300
-52
25 Sept 2026, 06:41
24,352
first reading
Engagement
59 posts held, back to 24 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 110 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.6%
avg views ÷ 24,190 subscribers
Avg views / post
3,770
16 posts measured
Reaction rate
5.43%
reactions ÷ views · ER floor
Posts in window
17
of 59 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
Window
Rolling 30 days · latest post in window 28 October 2026
Posts held
59 (24 July 2026 – 28 October 2026)
Views total
60,280
Reactions total
3,274
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 16:49 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
791
Videos
115
Links
336
Lifetime counters from Telegram’s own channel header, read 31 October 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
3m 04s
Average length
37s
Measured directly from 5 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
11,467 reactions across 56 posts, in 32 distinct kinds. The most used accounts for 55.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6,347
55.4%
🔥
2,559
22.3%
❤🔥
1,062
9.26%
👍
368
3.21%
👏
264
2.30%
😍
121
1.06%
😁
95
0.828%
💯
85
0.741%
🙏
76
0.663%
👌
70
0.61%
🕊
58
0.506%
😱
51
0.445%
🎉
47
0.41%
💔
40
0.349%
🤩
38
0.331%
🥰
35
0.305%
😢
30
0.262%
💘
22
0.192%
🏆
20
0.174%
🤝
17
0.148%
12 further kinds
62
0.541%
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 56 of the 59 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 11,467 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 24 July 2026 to 28 October 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.
Advertising
Ad load
5.08%
3 of 59 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
4,890
over 3 measured posts
Median views · rest
4,120
over 53 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5w7sA8z
1
30 September 2026
30 September 2026
2VSb5xbQF5C
1
7 October 2026
7 October 2026
2VtzqvE8wFT
1
13 October 2026
13 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 59 most recent posts we hold, published 24 July 2026 to 28 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Вдруг вы не знали или забыли!
Завтра, 29.10 пройдет презентация моей новой книги «Страсти по Драмионе» в Москве!
19:00, Читай город в тц Европейский
Книга получилась манифестом о правах и слабостях сильных умных женщин, о том почему они выбирают тех, кого сложнее всего заставить их полюбить и как же быть с этим сценариями жизни, чтобы чувствовать себя любимой и желанной не покупая эти привилегии ценой самозабвения…
Мне кажется вы забыли посмотреть эти подкасты с моим участием! Ничего, положитесь на меня, я всегда напомню 😂
Я свои подкасты обычно не переслушиваю, но вот эти люблю всей душой и даже сама слушала по несколько раз ⬇️
Про РПП
Про самооценку и отношения с собой
Новая фотографическая карточка на аватарке!
Это я была в Живерни в гостях у Монэ, и моя подруга Вика и по совместительству невероятный фотограф, меня там пофотала 😍
Вот вам есчо фотографии из этого чудесного дня ✨
P.S. Обожаю переписываться в комментариях с ии ботами 😂
Было!💖
В Париже я в этот раз была с конкретной целью- попасть наконец-то на «Живого Урганта», это для меня как встреча со старым другом🫂 Иван каэш, как и любой публичный человек, является тем, с кем люди целые жизни проживают! И я не исключение 😂
Я ж в квн играла, а потом оставила это дело, разочаровалась даже, и пошла работать в детский сад чтобы восстановить свою веру в доброе и светлое 😅 Каждое утро я включала с…
Так, а шо мы не голосуем за то, чтобы я тут могла сторисы публиковать?
Давайте замутим, и будем тут куча пользы в сторисах 🥰
https://t.me/boost/yarapsy
Последний день в Париже! Сегодня иду на Урганта и буквально через пару часов после этого еду в аэропорт, не успеваю даже поспать (как я так спланировала все- загадка, мозг был занят восторгом от факта поездки, когда билеты покупала)
Сегодня завершаются продажи моих продуктов для родителей, пройдите по ссылочке, посмотрите, шо вас манит и зовет🌝
Попроще и побыстрее: запись родительских собраний с разбором ваших вопр…
Отвечаю на ваши вопросы, жду откликов и новых вопросов в комментариях ❤️😉
00:00 • Вступление: новый формат ответов на вопросы
00:46 • Париж и Москва: что общего и в чём различия
02:40 • Нейроотличность у взрослых: на что обратить внимание и к кому обращаться
09:27 • Ревность после 60: возрастные изменения и страх потерять близость
12:06 • Музеи Парижа, любимые места и «Жёлтая мельница»
14:08 • Как я создаю свои обра…
Я в Париже! Отмечала тут Новый год, и вот прилетела спустя 9 месяцев повидаться с городом и друзьями, а еще сходить на «Живой Ургант» 😍
Просто делюсь с вами моментом. Я очень хочу вести этот канал регулярно и прихожу к тому, что тут подходящее местечко для лайфстайла, фотографий из жизни и уютных обсуждений всего на свете. Я подутомилась от профессионального контента, точнее от непрерывного процесса его создания, но…
«Кэрри»: когда с тобой всё время «что-то не так»
Возвращаю разборы сериалов 🫶 Сегодня обсуждаем сериал «Кэрри» (по мотивам романа Стивена Кинга), проводя параллели с опытом нейроотличных детей и взрослых, которым бывает трудно понимать неписаные правила общения, вписываться в коллектив и оставаться собой.
Говорю о родительском контроле, травле, стыде, маскинге и той усталости, которая накапливается, когда человек п…
❣️Информация для тех, кто регистрировался на вебинары сегодня и кого почта ЯНДЕКС.
Сегодня произошёл сбой, после атаки на дата-центр часть сервисов компании работает нестабильно. Из-за этого письма на адреса Яндекс Почты могут временно не доставляться.
Если вы оформили участие и не получили ссылку, пожалуйста, напишите администратору Алисе лично @Pluhina_a свою почту, и какой вебинар вы выбрали. Всем отправим ссыло…
❤32🔥5👏4
Showing the 12 most recent of 59 posts we hold for @yarapsy. 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.
Posts edited after publishing
@yarapsy edited 1 post 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.
First edit seen
14 October 2026
Most recent edit
14 October 2026
Forward network
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.
Mentions
Named by 4 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.
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.
Channels Telegram recommends alongside this one
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 16 September 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.
Appears in Telegram’s recommendations for other channels
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.
Лайфхаки Подсознания @podsoznanie_lebedko · 20,482 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 26 September 2026
Вика Дмитриева @vikadmitrieva_psiholog · 261,713 Telegram ranks this channel #10 of 79 here — alongside 78 others — read 10 August 2026
Василиса Бутусова @stillvasilisa · 24,590 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 16 September 2026
Ольга Гартман. Психология. Отношения. @gartmanolga_t · 19,141 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 3 October 2026
Юлия Егорушкина о психологии @nesovetchik · 81,104 Telegram ranks this channel #41 of 87 here — alongside 86 others — read 18 August 2026
Hopkins English @hopkinsenglish · 32,903 Telegram ranks this channel #65 of 88 here — alongside 87 others — read 9 September 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 30 October 2026 — this
entry's latest reading, not the date you are reading this.
“Ярослава Рындина” (@yarapsy), 24,190 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/yarapsy.
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.