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Channel

Loot&EXP | Подкаст о НРИ 🎲

@loot_exp

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

1,907subscribers

-1,247 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-1002262543623
TypeChannel
Username@loot_exp
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/loot_exp

Growth

1,9073,1542,530.57 August 2026 — 3,154 subscribers7 August 2026 — 3,154 subscribers7 August 2026 — 3,153 subscribers10 August 2026 — 2,008 subscribers14 August 2026 — 1,907 subscribers7 August 202614 August 2026
5 measurements spanning 6 days, net -1,247. 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 1,720–3,341 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 00:381,907-101
10 Aug 2026, 14:422,008-1,145
7 Aug 2026, 17:173,153-1
7 Aug 2026, 16:163,154no change
7 Aug 2026, 16:063,154first reading

Engagement

21 posts held, back to 29 May 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
109.4%
avg views ÷ 1,907 subscribers
Avg views / post
2,090
7 posts measured
Reaction rate
0.849%
reactions ÷ views · ER floor
Posts in window
7
of 21 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 7 August 2026
Posts held21 (29 May 20267 August 2026)
Views total14,610
Reactions total124
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:45 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.

Reaction mix

427 reactions across 21 posts, in 25 distinct kinds. The most used accounts for 24.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10524.6%
👍9522.2%
6916.2%
😁409.37%
🤔225.15%
💯214.92%
👀112.58%
🏆81.87%
🤡81.87%
👾71.64%
51.17%
💔51.17%
40.937%
🐳40.937%
🤣40.937%
👌30.703%
😈30.703%
🤝30.703%
🌚20.468%
🦄20.468%
5 further kinds61.41%

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 21 of the 21 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 427reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 29 May 2026 to 7 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
8
of 21 we hold a reading for · 38%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @loot_exp. 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 21 most recent posts we hold for this entry, published 29 May 2026 to 7 August 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

7 Aug 2026, 22:17 UTC≈1,020 views11 reactions1 Starread 7 August 2026

Пятничный шортс посвящён ссорам за столом ВК🗡🗡🗡🗡Ютуб Из-за чего ссорятся ваши игроки?

🔥4😁3😈3💔1

31 Jul 2026, 12:54 UTC≈1,140 views15 reactionsread 7 August 2026

Я и раньше предпринимал попытки сделать самый кринжовый шортс. Но, кажется, в этот раз получилось... ВК ✂️✂️✂️ Ютуб

🤡8👾4😁3

27 Jul 2026, 12:36 UTC≈2,400 views16 reactions1 Starread 7 August 2026
Photo

Кузя (див) Цикл книг «Колдун Российской империи» Виктора Дашкевича Кто такие Дивы? Дивы — магические существа, превосходящие людей физически. Несмотря на свою силу, многие из них связаны контрактами с колдунами и вынуждены подчиняться хозяевам. Дивы способны менять свою форму в зависимости от того кого они съели, в том числе человека. Предыстория Кузя - див, который до мозга костей анархист. Он свободолюбив, вспыль

6👍4🔥4🦄2

24 Jul 2026, 13:09 UTC≈2,420 views19 reactionsread 7 August 2026

Пятничный шортс про подготовку, которая порой бывает слишком хорошей... ВК _ Ютуб 🔠🔠🔠🔠🔠🔠🔠

🏆8🔥5😁51

22 Jul 2026, 10:15 UTC≈2,560 views29 reactions1 Starread 7 August 2026

Эгоистичная правда об обратной связи🌚 «После сессии нужно давать фидбек!» - это твердят книги правил, мастера, блогеры и даже игроки. Я и сам так говорил (и не отказываюсь от этих слов). Но сегодня без общих фраз. Не будет речи о том, что ОС делает игры лучше. Плевать на сыгранность партии и пользу для мастера. Говорим только о том какой профит от ОС получишь лично ты. Зачем тебе давать ОС? Потому что это провоциру

👍147🤔6🤝1😐1

17 Jul 2026, 12:21 UTC≈2,610 views15 reactionsread 7 August 2026

Я видел, что кто-то позиционирует этот отрывок как диалог миллениала и зумера. Но наша интерпретация мне нравится больше (естессссственно 😁 ) ВК 🔠🔠🔠🔠🔠 Ютуб - Как ты умудрился выжить? Вот что меня удивляет! - Повезло 🔠В контексте НРИ это такая жиза🔠

5😁4🐳3🤣2🤪1

16 Jul 2026, 13:59 UTC≈2,460 views19 reactions1 Starread 7 August 2026
Photo

Граф Аверин Цикл книг «Колдун Российской империи» Виктора Дашкевича Предыстория Потомственный аристократ и один из сильнейших колдунов Российской империи. Вместо придворной жизни он занимается расследованием самых странных и опасных преступлений, где обычная логика бессильна, а за каждым делом могут стоять магия, дивы и древние тайны. Долгое время он разделял общепринятое отношение к дивам, считая их опасными сущес

7🔥54👍3

14 Jul 2026, 16:31 UTC≈2,510 views28 reactions1 Starread 7 August 2026
Photo

Новая рубрика👀 Когда увлекаешься НРИ, со временем все персонажи из книг, фильмов или сериалов начинают в голове раскладываться на чарлисты. Бывает у вас такое? У нас с Мариной это случается регулярно. Так и созрела идея новой рубрики. Каждый пост - это один книжный персонаж, разобранный не как литературный герой, а как заготовка для НРИ. Мы будем смотреть на него глазами мастера и игрока. Небольшая предыстория, хар

👍14🔥644

10 Jul 2026, 12:47 UTC≈2,240 views20 reactionsread 7 August 2026

Когда насоздавал персонажей, а теперь показываешь их мастеру😁 ВК 🪐🪐🪐🪐🪐🪐 Ютуб

😁76🔥4🐳1👀1🤣1

7 Jul 2026, 12:13 UTC≈2,520 views26 reactionsread 7 August 2026
Photo

Не умеешь играть голосом? Играй словами Каждый участник НРИ говорит от лица своего персонажа. У мастера их много, у игроков, как правило, один. И конечно же хочется сделать персонажа запоминающимся, выпуклым, фактурным, выразительным (нужное подчеркнуть) Создавая перса, мы обычно представляем его голос, манеру речи, тембр. Но отыграть всё это сложно. А иногда банально лень. В таких случаях на помощь может прийти осо

🔥10👍7😁71🤣1

3 Jul 2026, 13:17 UTC≈2,490 views20 reactionsread 7 August 2026

Кочевник и Корпорат отстреливаются от Соло, который пришёл убить одного из них в Киберпанке Камарильский Малк и Бруха-анарх гоняются по городу за стаей шабаша в ВТМ Кит Флинт и Сергей Бодров едут в одной тачке, качая головами под безумный мэшап Forever Young Знаете, что объединяет эти события? Они никогда не происходили в реальности. Но эмоции от них - самые настоящие ВК 〰️〰️〰️〰️ Ютуб P.S. Иногда партия игроков

8👍6🔥5🆒1

1 Jul 2026, 17:23 UTC≈2,460 views27 reactionsread 7 August 2026

Здарова, котятки🫰 Я давненько не записывал свежих выпусков, зато на днях был гостем на подкасте Вечный мастер, который ведёт Саша Головин 🤩 Мы обсуждали участие нейронок в НРИ. И может ли ИИ быть мастером уже сегодня? 🤩 А ещё Саша предложил основать клуб для ГМов, с программой, созвонами, мастер-классами, обменом материалами и прочим. И туда уже можно вступать! Я выпуском доволен. Мне всё понравилось, и ведущий, и

🔥128👀61

Showing the 12 most recent of 21 posts we hold for @loot_exp. 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 — 379,723 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.

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.

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

“Loot&EXP | Подкаст о НРИ 🎲” (@loot_exp), 1,907 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/loot_exp.

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.