На фоне сегодняшнего трамповского медицинского социализма, вспоминаю не менее интересный термин про Trump/Sanders voters. Почитайте https://en.wikipedia.org/wiki/Sanders%E2%80%93Trump_voters
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Channel
@mpltnv
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
820subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001384952770 |
|---|---|
| Type | Channel |
| Username | @mpltnv |
| Created | 4 June 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/mpltnv |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 19:14 | 820 | no change |
| 10 Aug 2026, 00:47 | 820 | first reading |
17 posts held, back to 7 April 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 pageof 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 17 posts for this entry, the most recent from 12 May 2025. 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.
180 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 24.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 44 | 24.4% | |
| ❤ | 37 | 20.6% | |
| 👍 | 35 | 19.4% | |
| 👎 | 27 | 15.0% | |
| 😁 | 20 | 11.1% | |
| 🦄 | 7 | 3.89% | |
| 🎉 | 3 | 1.67% | |
| 😢 | 3 | 1.67% | |
| 🥰 | 3 | 1.67% | |
| 🤔 | 1 | 0.556% |
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 17 of the 17 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 180reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 7 April 2025 to 12 May 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.
На фоне сегодняшнего трамповского медицинского социализма, вспоминаю не менее интересный термин про Trump/Sanders voters. Почитайте https://en.wikipedia.org/wiki/Sanders%E2%80%93Trump_voters
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Ого, оказывается в Москве есть православный храм, где служат на английском (и еще порой на французском). Находится на Новослободской/Менделеевской, это храм свт. Николая в Новой Слободе. Звучит это примерно вот так. Интересно как. Судя по сайту, такое каждую субботу (я так понял, там есть еще придел к храму, и там параллельно на французском еще служат, иначе не очень понимаю, как в 9 и в 9:30 идут две Литургии)
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Но всем советую не пить. Вот хороший цикл на этот счет https://www.youtube.com/watch?v=G0wDk9riqTE
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А, нет, оказывается выпивали в феврале 2020, только я это забыл🙂
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Вот это из серии «не смотрел, но рекомендую». Дело в том, что с Андреем мы знакомы (сначала шапочно, а потом уже лично) уже больше 5 лет. Реально очень классный чувак, много чего знает, он еще в группе «Акваланг» участвует, они любопытную музыку пишут. И вот — попадание в The Верхний Интернет! Поздравляю Андрея и зазываю всех бегом смотреть Аксёнова у Дудя!!! https://youtu.be/L8l3lnQ0O-0?si=2PUZeAuDrFJYe8Ep
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Пишут, что три года это все делали. Ого
Блин, красиво. Реально какие-то энтузиасты чето сделали, красиво нарисовали будто прям акварелью. Красота, короч. Гляньте https://youtu.be/keXTyr_No64
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Второе. Я стараюсь внимательно следить за разными независимыми проектами, которые делают идеалисты на коленке и за три копейки донейтов. Подкаст «Это Базис», который делает ряд оставшихся в России левых спикеров не признан никакими иноагентами или нежелательными и поэтому периодически у них получается приглашать самых неочевидных гостей. Александр Шубин https://t.me/podcastbasis/2122, которого вряд ли можно назвать…
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Первое. Советую обратить внимание на то, что делают либертарианцы в России со своими лекциями. Даже, насколько я понимаю, где-то раскол преодолели и делают их сообща в некоторых городах. Собирают краудфандингом деньги на ивенты, делают дискуссии, повышают политическо-философскую образованность. В общем, молодцы ребята. В Нижнем Новгороде в это воскресенье, 27 апреля в 13:00 пройдет большая дискуссия об идеализме ht…
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Сейчас в ближайших двух постах будет рекомендация двух некоммерческих проектов, за которыми я стараюсь следить и которым респектую. Чтобы сделать баланс сил, один будет от либертарианцев, другой — от левых.
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Биткоин снова превысил 90 тысяч! Поздравляем всех, кто инвестирует и теперь вышел в плюс и напоминаем, что «Зона свободы» принимает донаты в крипте. Самая лучшая инвестиция — в счастливое гражданское общество, построенное на взаимопомощи и солидарности. На данный момент у нас есть 11 незакрытых заявок на помощь от родственников политзаключенных на сумму 113 тысяч рублей. Пожертвовать можно в Биткоинах: bc1qcdprrm4…
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Выступлю в необычном для себя жанре адвоката мирских привычек. Тут многие повадились ругать покупные и ресторанные куличи — все эти кремовые, «дубайские», с экзотическими начинками и проч. В числе претензий — неправославно, показушно, бездуховно, и т.д. Пока я пишу этот текст, у меня самого стоит опара на обычный и почти классический домашний кулич (ну, с некоторыми вариациями ради большей пышности и влажности). И …
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Showing the 12 most recent of 17 posts we hold for @mpltnv. 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.
Citation-graph rank — 808,383 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
@mpltnv named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Плетнев” (@mpltnv), 820 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/mpltnv.
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.