Channel
@paukovpoints
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
114subscribers
-308 since we began measuring on 13 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002856528401 |
|---|---|
| Type | Channel |
| Username | @paukovpoints |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 September 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/paukovpoints |
Other / unclassifiable — 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 29 September 2026 and assigned it the closest of 31 fixed categories, at 42% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 00:08 | 114 | -3 |
| 30 Oct 2026, 11:01 | 117 | -58 |
| 22 Oct 2026, 22:20 | 175 | -135 |
| 15 Oct 2026, 04:51 | 310 | -112 |
| 8 Oct 2026, 23:16 | 422 | -89 |
| 29 Sept 2026, 02:58 | 511 | -28 |
| 15 Sept 2026, 07:41 | 539 | +117 |
| 14 Sept 2026, 00:22 | 422 | no change |
| 13 Sept 2026, 23:47 | 422 | first reading |
20 posts held, back to 5 September 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 13 September 2026. An engagement rate over an empty window would be a number about nothing.
19 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 73.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 14 | 73.7% | |
| 🔥 | 3 | 15.8% | |
| ❤ | 2 | 10.5% |
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 8 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 19 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 5 September 2026 to 13 September 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.
Побывал на презентации книги «Сказы о Сретенском монастыре» Григория Александровича Романова. Славная история нашей обители создается из следующих элементов: 1) Известные прихожане: Пожарский, Прозоровский, Мария Ильинична Милославская, Дмитрий Донской и т.д. 2) Известные реликвии: мощи Марии Египетской, Михаила Тверского (перешли в Храм Христа Спасителя), Владимирская икона Божьей Матери (копия). 3) Участие в изве…
👍3
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Изучая наш кафедральный учебник «Социология маркетинга» под редакцией Баркова, Зубкова и Маркеевой, задумался над любопытной закономерностью. Классическая модель потребительского поведения AIDA, созданная ещё в конце XIX века, описывала простую воронку. Потребитель узнаёт о бренде, проникается интересом, желает и покупает, предварительно сузив выбор до одного варианта. Однако в 2009 году McKinsey, опросив 20 000 пот…
👍3
Под чудесную музыку концерта «Seven Days Walking» Людовико Эйнауди составляю рабочее расписание на осенний семестр. Получается достаточно неплохо. Академическая занятость всего три дня в неделю, с понедельника по среду. Из ноу-хау решил добавить клуб дебетов и секцию по баскетболу🤞. Задач много, буду стараться. А значит, контент будет слегка меняться в сторону социологии и университетской жизни.
👍2
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📍56.086424, 37.735059 Обсуждаем романтические сюжеты, вписывающиеся в антураж реки Вязь, вместе с художницей постановщицей Олесей Летавицей.
❤2👍2
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Поговорили с Андреем Владимировичем Пентюховым - кандидатом социологических наук, начальником Управления развития социальных коммуникаций и активного долголетия Департамента труда и соцзащиты Москвы, создателем проекта «Московское долголетие» . Встретились в его глэмпинге «Пилигрим». Обсудили запуск «Московского долголетия» и работу с бездомными. Он сказал важную вещь: помогать бездомным просто едой и вещами - медв…
🔥3
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Showing the 12 most recent of 20 posts we hold for @paukovpoints. 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.
Named by 2 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.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Несветские разговоры | Иван Пауков” (@paukovpoints), 114 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/paukovpoints.
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.