Channel
@practice_titov
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
259subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002120576959 |
|---|---|
| Type | Channel |
| Username | @practice_titov |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/practice_titov |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 09:16 | 259 | no change |
| 8 Aug 2026, 02:34 | 259 | +1 |
| 7 Aug 2026, 18:54 | 258 | first reading |
18 posts held, back to 8 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 1 pageof 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 5 August 2026 |
|---|---|
| Posts held | 18 (8 July 2026 – 5 August 2026) |
| Views total | 2,241 |
| Reactions total | 214 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 09:16 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.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
248 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 93 | 37.5% | |
| 🔥 | 84 | 33.9% | |
| 👍 | 47 | 19.0% | |
| 💯 | 11 | 4.44% | |
| 🥰 | 6 | 2.42% | |
| custom 5415982356148280123 | 5 | 2.02% | |
| custom 5267116998667565588 | 1 | 0.403% | |
| 🕊 | 1 | 0.403% |
Custom emoji. 2 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 areTelegram’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 18 of the 18 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 248reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 8 July 2026 to 5 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.
Предлагаю проверить эффект Кулешова в действии. Эффект заключается в том, что мы додумываем, какой перед нами человек, какими он обладает качествами исходя из контекста. Одна и та же фотография, показанная людям, считывается по-разному, если перед этим сказать, что это маньяк, и что это спасатель. Известный пример – персонаж Леонова в "Джентельменах удачи", одна и та же внешность подходит и для директора детского сад…
❤3
Выкладываю в нормальном качестве таблицу основных когнитивных искажений, выбирайте какие вам по вкусу
❤6👍5🔥5
Сейчас читаю "Беньямин и Брехт – история дружбы". Беньямин – крутой мыслитель, Брехт – драматург и поэт, они были очень разные и в жизни, но книга не только про них, но и про дружбу вообще как идею, про межвоенную Германию, про возможность и сложность оставаться близкими в эмиграции. В общем, рекомендую. А на фото "Вальтер Беньямин с Герт Виссинг и Марией Шпейер. Ле-Лаванду. Июнь 1931" мы видим, что такое стиль. Фот…
🔥4❤3
50 основных когнитивных искажений. База баз, основа основ
❤2
Сегодня решим проблемы с мышлением с помощью мышления
❤10🔥6👍4
Делегировать или прожить На каждый вид деятельности теперь всегда можно найти специалиста, а на что-то и нейросети/искусственный интеллект. Например, один из рекламных роликов Gemini предлагает помочь ребенку с написанием письма любимому спортсмену – «промпт в одно предложение облегчит вашему ребенку с задачей». Ощущение, что здесь явно перебор, как будто бы можно и так признаться в любви. Но есть ли какой-то конкр…
❤6🔥4🕊1
Соммэр и Жижек На неделе дважды собирались для медленного чтения. У меня так проходили пары по современной философии в магистратуре, и я соскучился. Суть в том, что вместе читается текст по абзацам. Обычно кто-то читает вслух. Потом можно еще разок пробежаться глазами по тексту. Нужно обнаружить «темное» место, то есть не до конца понятное – и задать к нему вопрос. Все вместе ищут ответ на вопрос. За одну рабочую с…
🔥9👍5❤1
Зашли в «Сыроварню» на обед, заказали, я попросил водички, на что мне сказали, что не положено водичку наливать, могу заказать в бутылке 0,3 или 0,7. Ну и водичка стоит как пицца. Что говорит о нормальности цен в плане пицц и ну камон, какой «Тассай» за 650 – это не Evian. Мастер переговоров, Владислав Титов, не готов принять мир таким, как он представляется на первый взгляд. Мы можем видеть ложную дилемму, или пьем…
🔥15💯11❤10👍2
Нишево ли давать чаевые? Нишевые. Нишево. Новое слово, которое уже готовится к закату популярности и собственной «нишевости». Многие сводят его к нетакусикам, новой итерации хипстверства, хиппи и так далее, явление старое – слово новое. Но новое слово появляется, когда старое перестает подходить по смыслу. Что нового в нишевости? И сколько вообще этих ниш? Она одна на всех, или она под каждый интерес? Как отличить …
🔥5👍4❤3
Прочитал лекцию про смысл жизни по Достоевскому на конюшне «Мерено–Немерено». Всем любви и свободы (это ультракороткая версия лекции)
👍10🔥8❤4
ТОКИО! Смотрим 3 короткометражки, которые изначально снимались как альманах. Признание (относительное) в любви к одному странному и крутому городу. Мишель Гондри известен всем как режиссер "Вечного сияния чистого разума", Пон Джун-хо – оскараносных "Паразитов", а Леос Каракс – самый крутой из них, честно говоря, но при этом ни один из его фильмов популярным в широких кругах не стал, но очень рекомендую "Парень встре…
❤7👍6🔥3
Пока готовился к лекции по Достоевскому читал его дневники, дневники людей его окружавших, письма – и заметил сильную разницу в восприятии встреч, общения, влияния друг на друга тогда и сейчас. Они обращали много внимания на речь, идеи, отмечают как и кто друг на друга повлиял. И я стал думать, что сегодня – не то. Но на самом деле – это же вопрос медиума, то есть способа передачи информации. А что еще должно быть в…
❤8👍5🔥3
Showing the 12 most recent of 18 posts we hold for @practice_titov. 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 — 1,026,084 of 1,350,102entries 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 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Философия и Титов” (@practice_titov), 259 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/practice_titov.
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.