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 24 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 why it has no browse page of its own yet.
Growth
6 measurements spanning 66 days, net -2. 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 198–200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 06:38
198
-1
1 Oct 2026, 23:15
199
+1
16 Sept 2026, 05:39
198
-1
15 Aug 2026, 08:38
199
-1
8 Aug 2026, 11:32
200
no change
7 Aug 2026, 11:50
200
first reading
Engagement
10 posts held, back to 2 May 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 17 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
13m 45s
Average length
4m 35s
Measured directly from 3 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
82 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 57.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
47
57.3%
❤🔥
18
22.0%
💯
8
9.76%
🔥
7
8.54%
⚡
1
1.22%
👍
1
1.22%
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 9 of the 10 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 2 May 2025 to 17 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 10 we hold a reading for · 20%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Bachinskiy_raspakovka. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 10 most recent posts we hold for this entry, published 2 May 2025 to 17 November 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Когда-Нибудь я напишу книгу об этом. Но не сейчас.
Проживаю сейчас прекрасное время своей жизни в упорстве и труде от которого так долго бежал.
Жизнь выдает уроки ровно тогда, когда мы должны их прожить. И эти уроки уже показывают свои плоды.
Сейчас я не веду тренинги и практики. Не провожу сессии. Эти тренинги и сессии проходят сегодня во мне, но учителей и наставников нанял не я а видимо матушка Вселенная. Только…
«…Попробуйте в течение двадцати четырёх часов принимать всё, что бы ни случилось.
Кто-то вас обидел – примите это, никак не реагируя, и наблюдайте, что происходит.
Внезапно вы почувствуете поток энергии, которой никогда раньше не чувствовали.
Когда кто-то вас оскорбляет, обычно вы чувствуете слабость, вы теряете спокойствие и начинаете думать, как бы отомстить.
Этот человек подцепил вас на крючок, и теперь вы будете…
А ведь и правда, произойдет что-то. Идет дикое сопротивление: мне это не нужно, я жду другого, это должно быть не так.
Давайте уже признаемся: «Ожидания не работают».
Сколько раз мы чего то ждали и было все не так?
А как было лучше? Когда ты в доверии принимал изменения обстановки или новости как должное. Да. Это всего лишь поворот. Корректировка. Но нам так не выгодно. Это ж нужно напрячься и что то предпринять. С…
Да. Когда думаешь о проблеме ты на ней фокусируешься. Когда не отрицая это прожил, дал эмоциям место, успокаиваешься.
И потом фокусируешься на том как хочешь. И пространство начинает предлагать варианты на улучшение
#толерантность к пиздецу
Как вам такой «термин»?😛
Первый раз мне его сказал друг из сообщества телесников (динамические практики через тело).
Зимний период у нас с мужем, был просто адовый - Повышай толерантность к пиздецу или сойдешь с ума! - сказал Даниил)
Один из вариантов, который частенько мне помогает - Представить самый худший вариант и прожить его.
Допустим - деньги не приходят, их просто нет. А у тебя ку…
ПРОГНОЗ на май❤️
Начиная с Весов - заканчивая Рыбами по сферам:
- деньги
- отношения
- здоровье
Рекомендации, как избежать негативных моментов и прогностика.
Поддерживаем реакциями, не забываем❤️
ПРОГНОЗ на май❤️
Начиная с Овнов - заканчивая Девами по сферам:
- деньги
- отношения
- здоровье
Рекомендации, как избежать негативных моментов и прогностика.
Поддерживаем реакциями, не забываем❤️
Друзья. Делюсь с каждым из вас прекрасным прогнозом от моей любимой женщины для всех знаков зодиака☀️ на май
Showing the 10 most recent of 10 posts we hold for @Bachinskiy_raspakovka. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“ВИТАЛИЙ БАЧИНСКИЙ” (@Bachinskiy_raspakovka), 198 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/Bachinskiy_raspakovka.
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.