Channel
@vol_tochka_dva
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
159subscribers
+6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002762196750 |
|---|---|
| Type | Channel |
| Username | @vol_tochka_dva |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 15 September 2026 |
| On Telegram | t.me/vol_tochka_dva |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 23:58 | 159 | +5 |
| 15 Aug 2026, 02:05 | 154 | +1 |
| 8 Aug 2026, 19:15 | 153 | no change |
| 7 Aug 2026, 17:16 | 153 | first reading |
20 posts held, back to 28 March 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 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 20 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
232 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 28.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 67 | 28.9% | |
| ❤ | 44 | 19.0% | |
| 👍 | 31 | 13.4% | |
| 😁 | 29 | 12.5% | |
| 👏 | 18 | 7.76% | |
| ❤🔥 | 17 | 7.33% | |
| 🤝 | 10 | 4.31% | |
| 🫡 | 9 | 3.88% | |
| ✍ | 3 | 1.29% | |
| 😱 | 3 | 1.29% | |
| 🤮 | 1 | 0.431% |
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 19 of the 20 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 232 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 March 2026 to 1 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.
Как я не бросил курить С 13 лет курю. Никому не советую. Сейчас моё курение старше одной пятой населения Земли. Начал сразу по-взрослому, взатяг. Мне тогда не понравилось, а я все равно курил, чтоб привыкнуть. Привык. Никому не советую.Теперь отвыкнуть не получается. Помню, лежал в детском отделении больницы. Десять дней не курил, потому что нечего было. Потом домой вернулся, пошел гулять во двор, там пацаны говор…
❤10
#держу_в_курсе Я сейчас в больнице и тут есть два минуса: 1. Минус грыжа 2. Минус усы
🫡9✍3
У Сордо прочитал пост об ИИ в текстах. Тысячепроцентно обеими руками согласен с мыслью, что текстовый нейрослоп за последний год научились выявлять и топить и сами участники конкурсов. Собсно, об этом писал ранее вот здесь, когда говорил, что пройдет немного времени и нейрослоп этот надоест. Вот. С Парфеновым М.С. тоже согласен в той части, где он говорит, что особо ретивые и в тире видят участие нейросети. У Саши …
😁9
У гражданина Шендерова увидел скрин чьего-то твита. Оказывается, по Сети бродит маленький фрагмент текста вроде как из сборника рассказов Маргариты Симоньян «Водоворот»: А утром Корецкий нащупал под одеялом вязкое тесто Наташиных ляжек, придвинулся ближе и спустя несколько захрипевших минут нажал на такую точную клавишу, что Наташу подбросило выстрелом изнутри, и, выпустив стон из самых глубин запыхавшихся лёгких, он…
👍5
Немного разбавлю молчание. Итак, #держу_в_курсе 1. Занял 3-ье место на конкурсе по Самосбору от издательства Pulsart — ссылка — 2. На Ютубе появилась новая озвучка старого текста. Го приобщаться и оценивать — ссылка — 3. В Проигрывателе намечается конкурс, выдвигаюсь туда — ссылка—
🔥7
Слепил сборничек. Он прям крохотный, меньше одного авторского вышел. Там шоты, драбблы, просто маленькие тексты на 1-3к знаков и ещё один старый рассказ, который сам очень люблю. Заходите почитать и оценить, словом.
🔥9👍3
Принес вам рассказ, с которым участвовал в Бесовой Дюжине. Прошёл с ним четыре тура. Мне кажется, вполне неплохой, хоть и тема не нова. #жанровое #хоррор
🔥11
Путевые заметки ч.1 Об интересных местах псковщины можно рассказать многое, выбрал для вас самое, на мой взгляд, интересное. На самой границе Псковской области, в Печорах, находится монастырь, часть которого — пещеры под землёй. Собсно, и само слово печоры с древнерусского переводится как пещеры. Здесь разветвленная система ходов-улиц, света почти нет. Иногда на перекрестках встречаются одинокие свечи, света котор…
❤8👏4
Если вы вдруг не знали, вчера был день рождения Пушкина. Побывал на могиле Александра Сергеича, возложил цветы, помолчали вместе. #держу_в_курсе
👍12
#держу_в_курсе 1. Вылетел после 4 тура Бесовой Дюжины. Участвовал впервые и с одним рассказом. Понравилось. 2. Сейчас в Москве, вечером еду в Псков искать тех, кто не голосовал за меня по работе. 3. Отправил текст в pulsart на конк по Самосбору. А у вас как дела?
❤9🔥7
Шах и мат, хейтеры.
🔥11❤2
😎
🔥14
Showing the 12 most recent of 20 posts we hold for @vol_tochka_dva. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Перекличка
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 28 March 2026 to 1 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“Vol.2” (@vol_tochka_dva), 159 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/vol_tochka_dva.
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.