Что делаем в хтонь; Что делаем для наслаждения жизнью
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Channel
@journal_provodnika
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
7,226subscribers
-95 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001939315710 |
|---|---|
| Type | Channel |
| Username | @journal_provodnika |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/journal_provodnika |
Travel — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 21:39 | 7,226 | -7 |
| 12 Sept 2026, 08:19 | 7,233 | -9 |
| 7 Sept 2026, 21:41 | 7,242 | -18 |
| 2 Sept 2026, 23:26 | 7,260 | -12 |
| 30 Aug 2026, 14:15 | 7,272 | -1 |
| 27 Aug 2026, 12:26 | 7,273 | -3 |
| 24 Aug 2026, 11:34 | 7,276 | -15 |
| 20 Aug 2026, 11:21 | 7,291 | -8 |
| 17 Aug 2026, 10:58 | 7,299 | -7 |
| 13 Aug 2026, 17:38 | 7,306 | -7 |
| 10 Aug 2026, 16:54 | 7,313 | -7 |
| 7 Aug 2026, 21:17 | 7,320 | -1 |
| 7 Aug 2026, 11:15 | 7,321 | no change |
| 7 Aug 2026, 11:09 | 7,321 | first reading |
32 posts held, back to 9 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 14 pages 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 32 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.
3,579 reactions across 32 posts, in 9 distinct kinds. The most used accounts for 38.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 1,361 | 38.0% | |
| custom 5353049042173573166 | 737 | 20.6% | |
| custom 6226601156311779181 | 460 | 12.9% | |
| custom 5431838348907919772 | 443 | 12.4% | |
| custom 5231019684035326678 | 239 | 6.68% | |
| custom 5249483516512580976 | 136 | 3.80% | |
| custom 5375450857150102431 | 113 | 3.16% | |
| custom 5895529559419260533 | 81 | 2.26% | |
| custom 5384178664487278651 | 9 | 0.251% |
Custom emoji. 8 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 32 of the 32 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 3,579 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 9 July 2026 to 19 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.
Что делаем в хтонь; Что делаем для наслаждения жизнью
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Когда погода дрянь, повод порадоваться что вы в Петербурге, а не в каком-нибудь среднеевропейском городке. Доступных дворцов и музеев здесь хватит лет на 5 изучения (чем я и занимался ранее). Вот места от меня, где даже обыватель может проникнуться культурой: • Музей Людвиг в Мраморном дворце. • Дворцы князя Владимира и князя Алексея на Мойке • музыкальный концерт в новом зале театра Шаляпина на Английской набережн…
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Хочется простого мужского успевать на двух работах, посещать все заведения которые меня зовут и пройти все отели премии Where to travel, но я тупо не успеваю.
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Where to travel: Гельвеция. Из всех участников премии Гельвеция самая темная лошадка. Уверенная пятёрка, известная брендом отельра Юниса Теймурханлы и светскими гостями. Уютный дворик, прям сэйф плейс улицы Марата. Моя коллега Софья давно хвалила и отель, и ресторан при нём, так что я давно хотел посетить. В фестивальном меню: форель со спаржей. Ледяная, спаржа нарезана соломкой и к сожалению совсем не попала. То …
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Ищу иконописца, если есть контакт, дайте пожалуйста
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С 19 августа на Выборг начинают ходить двухэтажные Авроры! А знаете почему, потому что это день рождения Выборга! Будет скидон на аудиогид 😌
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Хейтеры называют меня нарциссом, но по факту просто считают, что я настолько удался, что не могу сам собой не восхищаться 🤷🏻
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Топ 10 наиболее востребованных стран у русского туриста по сервису Onlinetours: • Турция • Египет • Россия • Тай • Вьетнам • Китай • Абхазия • Мальдивы • Шри-Ланка
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В инст вышел рилс моего видеографа Сергея про нашу работу. Он очень душевный и весёлый, почти мокьюментари, посмотрите обязательно 🤞🏻
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Всем советую пока лето не кончилось погулять в ночи вокруг Исаакия и по примыкающим улицам. Магия всё ещё есть.
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Не забываем отсыпать реакций на творчество начинающего автора
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В рамках премии "Пять звёзд" от Where to travel посетил ресторан при Астории. Пока вы сомневаетесь в будущем, в Астории 100%-ая заполняемость. Фестивальное меню так востребовано, что мне даже не досталось бурраты, но ресторан об этом предупредил и позволил выбрать любую закуску на замену. На горячее баллотин из куриной грудки с фуа-гра, а на десерт мусс с ягодами + сопровождение в виде вариации беллини. Сколько раз…
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Showing the 12 most recent of 32 posts we hold for @journal_provodnika. 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.
@journal_provodnika 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.
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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“журнал проводника” (@journal_provodnika), 7,226 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/journal_provodnika.
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.