В чем жанр Святочного рассказа? Святочный рассказ – рассказ мрачный и с печальным концом, но всегда нравоучительный. С духовным хэппи-эндом. 📚 Приобрести книгу "Святочные рассказы" можно с моим автографом.
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Channel
@galkovskygram
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
13,099subscribers
+349 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001232089943 |
|---|---|
| Type | Channel |
| Username | @galkovskygram |
| Created | 12 April 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/galkovskygram |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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 |
|---|---|---|
| 11 Nov 2026, 20:59 | 13,099 | +10 |
| 10 Nov 2026, 01:39 | 13,089 | -2 |
| 8 Nov 2026, 13:47 | 13,091 | -11 |
| 7 Nov 2026, 08:36 | 13,102 | +7 |
| 6 Nov 2026, 11:39 | 13,095 | +6 |
| 5 Nov 2026, 09:31 | 13,089 | +6 |
| 4 Nov 2026, 09:49 | 13,083 | +4 |
| 3 Nov 2026, 06:56 | 13,079 | -2 |
| 2 Nov 2026, 10:19 | 13,081 | +7 |
| 1 Nov 2026, 08:01 | 13,074 | +8 |
| 31 Oct 2026, 08:19 | 13,066 | +2 |
| 30 Oct 2026, 04:57 | 13,064 | +11 |
| 29 Oct 2026, 05:07 | 13,053 | +6 |
| 27 Oct 2026, 07:56 | 13,047 | -1 |
| 26 Oct 2026, 08:57 | 13,048 | -5 |
| 24 Oct 2026, 10:00 | 13,053 | +3 |
| 23 Oct 2026, 12:16 | 13,050 | +1 |
| 22 Oct 2026, 15:35 | 13,049 | +6 |
| 21 Oct 2026, 10:56 | 13,043 | +21 |
| 20 Oct 2026, 05:01 | 13,022 | first reading |
193 posts held, back to 30 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 66 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 193 (30 July 2026 – 11 November 2026) |
| Views total | 167,799 |
| Reactions total | 3,665 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 20:17 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 45 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.
9,517 reactions across 185 posts, in 55 distinct kinds. The most used accounts for 28.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,697 | 28.3% | |
| 👍 | 1,877 | 19.7% | |
| 🔥 | 1,198 | 12.6% | |
| 💯 | 751 | 7.89% | |
| 🎃 | 503 | 5.29% | |
| 👏 | 492 | 5.17% | |
| 🤡 | 456 | 4.79% | |
| 😁 | 388 | 4.08% | |
| 🤔 | 278 | 2.92% | |
| 😢 | 181 | 1.90% | |
| 🥴 | 87 | 0.914% | |
| 🫡 | 87 | 0.914% | |
| 🙏 | 69 | 0.725% | |
| ✍ | 65 | 0.683% | |
| 🤣 | 57 | 0.599% | |
| 💔 | 56 | 0.588% | |
| 😭 | 33 | 0.347% | |
| 🥰 | 27 | 0.284% | |
| ❤🔥 | 24 | 0.252% | |
| 😱 | 21 | 0.221% | |
| 35 further kinds | 170 | 1.79% |
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 191 of the 193 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 9,633 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 193 most recent posts we hold, published 30 July 2026 to 11 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @galkovskygram. 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 193 most recent posts we hold for this entry, published 30 July 2026 to 11 November 2026. 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.
Telegram’s own ‘edited’ marker: 12 of 68 posts held from the last 30 days (17.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
В чем жанр Святочного рассказа? Святочный рассказ – рассказ мрачный и с печальным концом, но всегда нравоучительный. С духовным хэппи-эндом. 📚 Приобрести книгу "Святочные рассказы" можно с моим автографом.
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У меня не было молодости В Российской Федерации закручивают гайки, принимают запретительные законы, даже у нас в провинции посадки активистов стали обычным делом. Насколько хуже станет ситуация в течение 10 лет? Есть ли шансы на либерализацию? Относительно «закручивания гаек». Я вас уверяю: вы совершенно не понимаете, что такое настоящее закручивание гаек, тем более в России. И дай Бог вам никогда этого не понять. …
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«Кругом измена, трусость и обман». А кто именно предал Николая II? Все знают знаменитую фразу из дневника последнего русского императора. Но что, если искать предполагаемых предателей нужно не среди тех, кто покинул царя после отречения, а среди тех, кто якобы остался с ним до конца? Именно с этого вопроса начинается новая, пятая часть цикла «Кто и когда убил Николая II». Премьера новой части лекции — 15 ноября.…
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Автобиографические фрагменты «Бесконечного тупика». Примечание 799 799. Примечание к прим. №793 пускай в мячик играет Отец умирает. А мне: — Чего квёлый? «Эй, вратарь, готовься к бою». И мячом в рожу, в рожу. В «Бесах»: Кириллов бросал о пол большой резиновый красный мяч; мяч отпрыгивал до потолка, падал опять. Кириллов кончает жизнь самоубийством, а мяч попадает к Верховенскому: Знаете, подарите-ка мне ваш мя…
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США и Рим: не по чину Если США — это современная Римская империя, не прослеживаются ли тогда параллели между англо-американским и римско-египетским противостоянием? Соединённые Штаты очень последовательно выстраивали эту римскую символику. Это общее место: Капитолий и так далее. У них всегда присутствовала идея: вот это — Рим. Чего, кстати, не было в России. Был имперский Петербург — прекрасный, холодный северный г…
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📘 «Необходимо и достаточно» — история русской литературы Это история русской литературы в лице её крупнейших представителей, построенная отчасти по модели «Жизнеописаний» Плутарха. Плутарх сравнивал греческих и римских деятелей, а я — тех, кто сыграл в русской культуре преимущественно позитивную или негативную роль. Причём последние часто тоже великие люди. Вот Маяковский, безусловно, гениальный поэт. Я сравниваю …
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Писатель — это не его произведение. Часть II В отличие от музыки, от пения, эти трещины, эти уродства находятся уже в самом тексте. Я даже не говорю о личности автора — они есть именно в тексте. Их можно не замечать, и, наверное, надо не замечать. Но в целом литература — довольно низкий жанр. Другое дело, что русский человек не может до конца это принять и встать на такую точку зрения. Потому что в конечном счёте э…
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Писатель — это не его произведение. Часть I Вы как-то в ЖЖ отрицательно отзывались о Маркесе. Мне это показалось странным: вроде же выдающийся писатель, по крайней мере «Сто лет одиночества», «Осень патриарха». По особенностям нашей культуры русские вообще очень завышают значение писателей. Писатель — это, если применять такую легальную форму другого слова, пустоболт. Человек внутренне пустой, не очень умный, не оч…
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Недоновиопы 22 марта 2022 "Новиопы — этническая группа, сформировавшаяся за годы советской власти в Российской Федерации, в основном в Москве. Ориентировочно численность новиопов составляет примерно миллион человек, для них характерно полиэтническое происхождение, но, разумеется, далеко не всегда. Можно быть новиопом, будучи стопроцентным грузином или евреем. Главное — это принадлежность к среде и проживание на тер…
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Дмитрий Галковский pinned a photo
Автобиографические фрагменты «Бесконечного тупика». Примечание 793 793. Примечание к c.73 «Бесконечного тупика» «А, вы гордецы … имеете какую-то свою душу … Коллектив … теперь берёт своё назад. Умрите». (В. Розанов) В чём изюминка нашей эпохи? Вот 60–80-е годы XX века в России. За что это странное время будут изучать? А ведь будут, я уверен. Казалось бы, о нашем мире всё написано, всё ясно. Ан нет. Кое-что не заце…
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Советский человек как попаданец Почему у постсоветских трудящихся так популярен жанр попаданчества? Это популярный жанр во всём мире. Думаю, одна из типовых фантазий гимназиста — именно гимназиста, культурного мальчика, который учится не в обычной школе, а в привилегированной, где хорошо преподают античную историю, Средние века и так далее. Сидит он на задней парте и думает: "Что было бы, если бы я попал, допустим,…
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Showing the 12 most recent of 193 posts we hold for @galkovskygram. 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.
@galkovskygram edited 3 posts 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.
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.
Named by 9 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.
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 16 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“Дмитрий Галковский” (@galkovskygram), 13,099 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/galkovskygram.
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.