Personal blog — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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
57 measurements spanning 92 days, net -187. 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 13,398–13,743 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
7 Nov 2026, 08:57
13,511
-17
6 Nov 2026, 12:17
13,528
-11
5 Nov 2026, 14:20
13,539
-1
4 Nov 2026, 13:12
13,540
-4
3 Nov 2026, 15:55
13,544
-10
2 Nov 2026, 13:15
13,554
-6
1 Nov 2026, 14:15
13,560
+1
31 Oct 2026, 13:26
13,559
-2
30 Oct 2026, 13:17
13,561
-4
29 Oct 2026, 12:59
13,565
+1
27 Oct 2026, 12:56
13,564
+6
26 Oct 2026, 13:40
13,558
-4
25 Oct 2026, 14:49
13,562
+4
23 Oct 2026, 11:26
13,558
-6
22 Oct 2026, 10:16
13,564
+28
21 Oct 2026, 05:19
13,536
+24
19 Oct 2026, 23:46
13,512
-1
18 Oct 2026, 20:18
13,513
-6
17 Oct 2026, 21:26
13,519
-4
17 Oct 2026, 00:10
13,523
first reading
Engagement
39 posts held, back to 27 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.5%
avg views ÷ 13,511 subscribers
Avg views / post
1,830
16 posts measured
Reaction rate
3.17%
reactions ÷ views · ER floor
Posts in window
16
of 39 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 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
39 (27 July 2026 – 6 November 2026)
Views total
29,213
Reactions total
879
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 06:38 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
4m 14s
Average length
2m 07s
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
3,054 reactions across 37 posts, in 12 distinct kinds. The most used accounts for 64.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,957
64.1%
🔥
466
15.3%
🥰
263
8.61%
😁
123
4.03%
👏
87
2.85%
🎉
61
2.00%
👍
60
1.96%
💔
15
0.491%
🤩
10
0.327%
🤔
8
0.262%
🤯
3
0.098%
🌚
1
0.033%
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 37 of the 39 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 3,054 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 27 July 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 0 of 16 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Знакомьтесь, это Бени и Мени 🐾
До них у нас был Дени, очень любимый котенок. Мы его потеряли, когда ему было 7 месяцев, и для всей нашей семьи это была очень болезненная утрата.
Месяца через три мы поняли, что сердце снова готово. И тут Азат с Изель пришли ко мне с заранее подготовленным аргументом. С самыми серьезными лицами: «А ты знаешь, что в Швейцарии по закону нельзя держать одно животное? Это вредно для его …
Пупсики, привет – я вернулась
В октябре написала, что ухожу отдыхать с семьей, и отдохнула на совесть, совсем сюда не заглядывая 🤭
За это время много думала про этот канал. Вас здесь больше тринадцати тысяч, и я правда чувствую, что по ту сторону живые люди. Поэтому он мне особенно дорог.
Долгое время я писала сюда как будто «обязана». Мне казалось, что каждый пост должен быть экспертным, глубоким, искрометным, а …
пост для самых внимательных и везучих, ибо в конце узнаете секрет.
ухожу отдыхать с семьей, вернусь к вам отдохнувшая с подкастами и новыми текстами🩷
двери КАМПУСа до декабря закрыты…
а дальше что?..
а дальше ПСИХФАК 8.0…🤫🤫🤫🫠❤️
Ну что, мои дорогие, последние два часа 🙈
В 23:59 по Москве двери КАМПУСА закрываются до декабря.
Всё ещё 2 990 ₽ в месяц и всё ещё каждую неделю со мной 😉
Мой дорогой КАМПУС, в добрый путь, малыш. Ты вырастешь очень большой 🩷
Кто ещё сомневается, вот сайт КАМПУСА, там всё честно.
Войти в КАМПУС →
Ваши родители сделали вас бедными. Без злого умысла 🤷🏻♀️
Они жили в стране, где за перепродажу джинсов могли посадить. А в 1986 году объявили борьбу с нетрудовыми доходами: честными считались только деньги, заработанные руками и потом.
Три поколения выросли с ощущением, что много зарабатывать опасно, а быть богатым стыдно. И если у соседа появилась машина, значит, украл.
Стоит ли удивляться, что назвать цену за с…
Хочу продать вам самую скучную вещь на свете 🥱
Регулярную терапию.
Я понимаю, рилсы про нарциссов, холодную мать и «три способа узнать, что он себя не любит» залетают гораздо проще. Их даже пережёвывать не нужно. А тут психолог предлагает терапию каждую неделю. Что может быть скучнее? 😅
Однажды мне посчастливилось сидеть за одним столом с долларовым миллиардером, его имя вы точно знаете. В горячем споре он сказал:…
Родила третьего 😂 На коляску скидываться не надо, просто вступайте.
КАМПУС это мой закрытый клуб по подписке: терапия со мной каждую неделю, курсы «Живой капитал» и «Территория денег», тренировки с тренером и лучшее сообщество резидентов 🥹 Как он появился и какие первые шаги уже делает, рассказала тут 👆
Внутри уже около тысячи человек, и многие пишут: «Я отсюда никогда не уйду». Двери открыты только сегодня и завтр…
Showing the 12 most recent of 39 posts we hold for @psy_bulatova. 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.
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.
Валера Гут | Ψ и AQ @gutvaleriy · 29,753 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 8 September 2026
Наташа Жукова.Рядом 🫂 @zhukova_ryadom · 27,418 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 9 September 2026
Наталья Жукова² @NatalliaZhukova2 · 55,980 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 9 September 2026
Зина Гегамовна 🫂 Психолог. Психотерапевт. @zinashamoyan · 69,970 Telegram ranks this channel #16 of 84 here — alongside 83 others — read 20 August 2026
неНумерология с Перцевой @ne_numerolog · 21,036 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 24 September 2026
Тата Феодориди @TatFeodoridy · 59,841 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 22 August 2026
Канал Ирины Подрез @ipodrez · 28,850 Telegram ranks this channel #43 of 87 here — alongside 86 others — read 8 September 2026
This channel appears in 7 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ректор Булатова” (@psy_bulatova), 13,511 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/psy_bulatova.
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.