Channel
@slowlearner
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,347subscribers
+8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001129007938 |
|---|---|
| Type | Channel |
| Username | @slowlearner |
| Created | 26 June 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/slowlearner |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 22:45 | 2,347 | +2 |
| 26 Aug 2026, 04:25 | 2,345 | +4 |
| 23 Aug 2026, 09:48 | 2,341 | -3 |
| 19 Aug 2026, 14:56 | 2,344 | +2 |
| 16 Aug 2026, 13:55 | 2,342 | -2 |
| 12 Aug 2026, 21:56 | 2,344 | +6 |
| 10 Aug 2026, 00:29 | 2,338 | -2 |
| 6 Aug 2026, 21:22 | 2,340 | +1 |
| 6 Aug 2026, 05:49 | 2,339 | no change |
| 6 Aug 2026, 00:19 | 2,339 | first reading |
17 posts held, back to 25 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 2 pagesof 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 17 July 2026. An engagement rate over an empty window would be a number about nothing.
415 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 264 | 63.6% | |
| 🤓 | 122 | 29.4% | |
| 😱 | 29 | 6.99% |
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 415reactions 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 25 March 2026 to 17 July 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.
вопреки опасениям, нолановская «Одиссея», по-видимому, оказалась вполне компетентным развлечением для самых широких экранов (неужели хотя бы это возвращается домой?); ура. вспомнил несколько недавних ревизий античного наследия в кино и литературе — от пульсирующей «Медеи» Александра Зельдовича до последнего пристойного Пелевина
❤19
Беллингем. Джуд Беллингем
❤20😱2
Backrooms определенно не работает как хоррор и способен, вероятно, вызвать у проницательных поклонников жанра справедливое недоумение: «уже было», «не страшно», «а чего такой уютный свет»? а вот те, кто чувствителен к эллиптическим головоломкам Дэймона Линделофа или Барана бо Одара, думаю, оценят его как многоообещающий, с интригующими лакунами, пилот научно-фантастического сериала. в глазах персонажа Марка Дюпласс…
🤓21❤1
где-то в середине из Half Man выкачали весь воздух, и мне на мгновение показалось, что перед нами новое издание «Переходного возраста» — аттракцион буллинга, драма кухонной раковины, где тебя сейчас и утопят, как в незабвенном прологе «Казино Рояль». но территория, на которой Ричард Гэдд работает в полную силу, начинается тем, где большинству «все понятно». примечательно, впрочем, что то, что в действительно все с…
❤19🤓2😱2
раз в 20 лет мастера отечественной культуры открывают Николая Куна на одной и той же странице
🤓28
Провел два с лишним часа в компании старого друга - посмотрел Грацию Соррентино. Это самый сдержанный, если не сказать смиренный фильм его жизни. Кто-то скажет, что здесь нет практически ничего, за что мы его любим. Я с этим соглашусь с одной оговоркой - если понимать самое цветастое как первостепенное. Я же в его и прежней яркости, и в смягченной, почти пастельной гамме Грации вижу одно и то же - самое главное. Его …
❤10😱2🤓1
La Grazia — самый, на моей памяти, выверенный, отзеркаленный фильм Соррентино, триумф дисциплины и самоконтроля. Лев Данилкин сравнивал «Предчувствие конца» с бильярдом: несколько запущенных Барнсом шаров скользят по сукну, бьются об борты и друг об друга и падают в конце концов в нужные лузы; вот здесь у пожизненного сенатора европейского кино получилось что-то подобное; эчелленте. заметен, другими словами, контра…
❤22😱5
можно упиваться азартом «Индустрии». аплодировать неистощимости «Пацанов». любоваться персоналом «Клиники». восхищаться — правда, на все более почтительном расстоянии — бескомпромиссностью «Эйфории». но сделать самому хотелось бы именно «DTF. Сент-Луис». 🤘
❤28😱1
127
❤38🤓2😱1
между тем писатель Микаэль Дессе (@dessessay) обращает наше внимание на то, что загримированный под «симпатичного рыжебородого хоббита» ДЕГ появлялся у ПВО еще в «П5» (до краев заполненный камео рассказ «Некромент» про регулировщика-оккультиста Крушина). но одно дело серфинг по фамилии «Голгофский», а другое — перечитать текст 2008 года с самого начала и обнаружить там один из источников свежего замысла: По образном…
❤12🤓2
новый Пелевин, досрочный ответ
❤11😱8
«Геометрию их, Венецию их назовут шутовством и обманом»: приходите завтра на книжный клуб в Центр Вознесенского обсудить последний законченный набоковский роман — и, шире, трикстерные фигуры в его прозе. регистрация, перечитать, большое интервью с переводчиком и исследователем LATH Андреем Бабиковым.
❤14
Showing the 12 most recent of 17 posts we hold for @slowlearner. 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 — 112,553 of 1,626,884entries 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.
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 3 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.
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 1 seed channel's Telegram-generated recommendation list 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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“кириенков” (@slowlearner), 2,347 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/slowlearner.
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.