Telegram RegisterThe public register of Telegram

Channel

BOGOMOLOVA

@noscorsese

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

2,245subscribers

-10 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001470710857
TypeChannel
Username@noscorsese
Created27 January 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 14 August 2026
On Telegramt.me/noscorsese

Growth

2,2452,2552,2507 August 2026 — 2,255 subscribers7 August 2026 — 2,255 subscribers8 August 2026 — 2,254 subscribers11 August 2026 — 2,245 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net -10. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,244–2,257 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 08:322,245-9
8 Aug 2026, 08:322,254-1
7 Aug 2026, 08:462,255no change
7 Aug 2026, 08:332,255first reading

Engagement

11 posts held, back to 26 April 2026the 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.

ERR · 30 days
22.9%
avg views ÷ 2,245 subscribers
Avg views / post
513
1 post measured
Reaction rate
5.65%
reactions ÷ views · ER floor
Posts in window
1
of 11 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 July 2026
Posts held11 (26 April 202620 July 2026)
Views total513
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:44 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.

What this channel posts

Video runtime
15s
Average length
15s

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.

Reaction mix

531 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 52.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
28152.9%
❤‍🔥13926.2%
🔥427.91%
👍305.65%
🦄81.51%
61.13%
😁61.13%
🕊50.942%
🤣50.942%
🥰50.942%
🤯30.565%
🏆10.188%

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 10 of the 11 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 531reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 26 April 2026 to 20 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
6
of 10 we hold a reading for · 60%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @noscorsese. 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 11 most recent posts we hold for this entry, published 26 April 2026 to 20 July 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.

Recent posts

20 Jul 2026, 13:23 UTC513 views29 reactionsread 7 August 2026

Некоторое время назад я попала на лекцию Ксении Романенко (ВШЭ) о фанфикшне. И почерпнула для себя парочку лайфхаков для сценарной работы. Несу вам. Помните «Гарри Поттера и методы рационального мышления»? Или «Драмиону»? Или фанфики по Евгению Онегину, где Татьяна бросает своего старого генерала и убегает с Женьком (как бы зачем, конечно – но к Пушкину с феминизмом особо не подступишься). Фанфики уже давно намного

24👍5

15 Jul 2026, 09:20 UTC862 views62 reactions1 Starread 7 August 2026

Часто говорят, что если сценарист не разбирается в психологии, не понимает разницы между разными типами расстройств личности и закономерностей разных моделей мышления, то он профнепригоден. Действительно, почти все люди в нашей профессии либо в анализе/в терапии, либо активно читают книги по психологии, либо хотя бы подписаны на сколько-то околопсихологических пабликов (ценность последнего для меня сомнительна, но wh

❤‍🔥3118👍10😁21

26 May 2026, 16:00 UTC≈1,070 views46 reactionsread 7 August 2026

Пока летела, решила посвятить 10 часов Кевину Костнеру и первому сезону «Йеллоустоуна». Когда-то меня с Кевином познакомили на съёмочной площадке (он играл одну из ролей), я его не узнала и радостно (мне был 21 год, и к этому моменту я была в кинотеатре максимум раз 10) выдала: «Oh hi Kevin, nice to meet you, you work here TOO? What do you do?». Он вежливо посмеялся и пожал мне руку. Я подумала: «Какая у него неприли

30🦄8👍4🤯3🤣1

22 May 2026, 20:56 UTC≈1,000 views34 reactions1 Starread 7 August 2026
Video

Вернулась домой и к работе.

22🥰5❤‍🔥3🔥31

22 May 2026, 20:52 UTC953 views43 reactions1 Starread 7 August 2026

В Нью-Йорке было +34, в квартире шарашило отопление, и выключить его было нельзя. Кондиционер чахоточно кашлял жаркой пылью; единственной холодной вещью в радиусе 100 метров был мой slavic stare. По Второй авеню днём и ночью носились скорые и пожарные, и от их завываний дрожали стены. Кстати, если вы в Нью-Йорке вызовете скорую, то это будет стоить вам около 5 тысяч долларов. Поэтому последние слова людей здесь, если

❤‍🔥1911👍6😁4🔥21

14 May 2026, 00:02 UTCviews —

Не Скорсезе pinned «Пост-знакомство Привет. Меня зовут Екатерина Богомолова, я писала сценарии к комедийным сериалам (самые известные – «Беспринципные в Питере» и «Беспринципные 5»), драматическим фильмам («Общага»), а когда-то давно даже к клипу «Комната» группы Самое Большое…»

14 May 2026, 00:02 UTC≈1,020 views93 reactions1 Starread 7 August 2026

Пост-знакомство Привет. Меня зовут Екатерина Богомолова, я писала сценарии к комедийным сериалам (самые известные – «Беспринципные в Питере» и «Беспринципные 5»), драматическим фильмам («Общага»), а когда-то давно даже к клипу «Комната» группы Самое Большое Простое Число. А ещё я работала с Вачовски и Кеннетом Браной. Я всё время что-то пишу, и часть из этого оказывается здесь. Когда я пишу о кино-индустрии, я нико

54🔥21❤‍🔥18

14 May 2026, 00:01 UTC918 views6 reactionsread 7 August 2026

За последнее время здесь поменялась аудитория: пришло много новых людей, и для них я представлюсь (впервые!).

6

11 May 2026, 00:30 UTC≈1,090 views72 reactions1 Starread 7 August 2026
Photo

В Луизиане почти обнялась с крокодилами: вокруг в бодром темпе плавали штук 30. Крокодил, оказывается, исключительной экономности организм – в день ему нужно всего лишь 600 калорий. То есть я ем в 3 раза больше крокодила! И при этом меня никто не боится!!! Роудтрип дольше месяца – вещь, конечно, интересная. Сперва у тебя не включается стайлер из-за разницы в вольтаже, затем начинаешь ходить в носках и сандалиях. Пос

51❤‍🔥16🤣41

2 May 2026, 04:37 UTC≈1,140 views65 reactionsread 7 August 2026
Photo

Недавно я смотрела аккаунт девушки, которая делает рилзы под девизом «Ты живёшь в Нью-Йорке, и у тебя нет друзей». В рилзах она по вечерам приходит с работы или с хот йоги, дезинфицирует свои лодочки, готовит ужин на микро-кухне, целуется с котом, занимается растяжкой на инфракрасном коврике и ложится спать. Она говорит, что уединение ценно, что жизнь в большом городе выматывает и прийти в себя получается только благ

39❤‍🔥13🔥6🕊51🏆1

26 Apr 2026, 04:04 UTC≈1,000 views81 reactions1 Starread 7 August 2026
Photo

Пока суть да дело, покажу вам карточки из США. Мы добрались до Оклахомы, тут на каждом столбе написано JESUS IS THE ANSWER. До этого были Калифорния, Аризона, Техас, Арканзас. Как обычно, я смотрю на окружающую реальность со сдержанной неприязнью. Например, мне очень не нравятся дорожные таблички «Hitchhikers may be escaping inmates» (то есть «не останавливайтесь, когда кто-то голосует на дороге – возможно, это сбеж

❤‍🔥3926🔥10👍51

Showing the 11 most recent of 11 posts we hold for @noscorsese. 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.

Citation-graph rank

Citation-graph rank — 1,035,751 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Mentions

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.

Cite this entry

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 August 2026 — this entry's latest reading, not the date you are reading this.

“BOGOMOLOVA” (@noscorsese), 2,245 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/noscorsese.

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.