🗯Одна из крупнейших в рунете(telegram) система поисковика ролевых проектов, представляющая бесплатные рекламные услуги вашей ролевой иль флуда.
Основной проект: @r0levye
Поиск соролевика тет-а-тет: @poisksorolevv
Помощь ролевикам: @rolevyett
Created
26 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 4 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 16 of the 16 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 45 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 5, the earliest publisher we hold is @HogwartsPiar. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
1 more channel is in this same group but not listed individually here.
Growth
25 measurements spanning 89 days, net +127. 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 6,239–6,404 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
3 Nov 2026, 21:49
6,385
+9
31 Oct 2026, 13:34
6,376
-1
28 Oct 2026, 07:57
6,377
+4
25 Oct 2026, 18:06
6,373
+2
22 Oct 2026, 10:00
6,371
+4
19 Oct 2026, 02:18
6,367
-1
16 Oct 2026, 03:27
6,368
+8
13 Oct 2026, 04:19
6,360
+20
6 Oct 2026, 16:16
6,340
-13
29 Sept 2026, 21:17
6,353
-4
19 Sept 2026, 11:57
6,357
+18
14 Sept 2026, 17:21
6,339
+2
11 Sept 2026, 10:21
6,337
+2
6 Sept 2026, 09:37
6,335
+4
1 Sept 2026, 16:04
6,331
+2
29 Aug 2026, 06:54
6,329
+14
26 Aug 2026, 11:24
6,315
+3
23 Aug 2026, 12:13
6,312
+15
19 Aug 2026, 12:12
6,297
+18
16 Aug 2026, 16:47
6,279
first reading
Engagement
163 posts held, back to 6 August 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.52%
avg views ÷ 6,385 subscribers
Avg views / post
97.3
44 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
44
of 163 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. It is computed over the 2 of 44 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
163 (6 August 2026 – 6 November 2026)
Views total
4,280
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 13:00 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
Photos
≈28,500
Videos
≈1,500
Links
≈33,700
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 18s
Average length
28s
Measured directly from 5 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.
Reaction mix
21 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 28.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
28.6%
🍓
6
28.6%
❤🔥
4
19.0%
💋
2
9.52%
🔥
2
9.52%
💔
1
4.76%
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 163 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 163 most recent posts we hold, published 6 August 2026 to 6 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 163 we hold a reading for · 0.6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @piarrolok9. 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 163 most recent posts we hold for this entry, published 6 August 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 44 posts held from the last 30 days (0%) 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).
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🤩 🤩🤩🤩 & 🤩🤩🤩🤩🤩
☺️ва клана — Вода и Огонь. Век назад один правитель нарушил мирный договор и магия обоих кланов начала гнить изнутри. Теперь нужен ритуал, чтобы вернуть все как было. Только никто не знает, как его проводить, кому верить и кто первым вонзит нож в спину, пока остальные спорят.
☺️десь запрещено любить чужака. Здесь ученик без источника никто, а профессиональные маги и воины - оружие.
☺️итуал…
ECSTASY
Лос-Анджелес, район Санта-Моника
UCLA считается одним из популярных учебных заведений во всей Калифорнии. После окончания школы абитуриент первым делом думает о поступлении именно в этот университет из-за разнообразия направлений и хорошего будущего, а также в надежде на отличное времяпровождение. Ведь UCLA известен еще и тем, что студенты часто устраивают запоминающиеся вечеринки. Иногда это доходит до…
Шэньгун - ролевая по авторскому миру, объединяющему черты разных периодов имперского Китая. Это реалистичный мир без магии, сюжет которого разворачивается вокруг иерархии императорского гарема и политических интриг знати.
Сюжет
На протяжении двух десятилетий империей династии Хэн фактически правила вдовствующая императрица. Её болезненный сын, законный монарх, во всём полагался на мать и не вмешивался в государствен…
День/ночь Друзья. Любишь тематику Апокалипсис? Тогда остановись и изучи наш мир, он точно тебе понравится.
🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
«Апокалипсис зеленого неба» - это мир, в котором люди допустили ошибку и запустили ядерное оружие. Ядерка разлетелась на 5 самых влиятельных стран, поэтому хаос быстро распространился и захватил весь мир. Около миллиарда, а может и больше сразу умерло от удара, а после чего уже и от последствий. От у…
:: #конференция #многострочник #среднестрочник #фэнтези #ориджинал #R
Магическая Академия Магнолия
Сюжет игры: Представьте магический мир, где древние клятвы были нарушены, а предатели из великих домов поплатились за свою алчность страшным проклятьем. Старые союзы сгорели дотла. Но на этом самом пепелище мы, наследники двух последних родов, решили построить нечто новое.
Наша Академия предлагает присоединиться к мир…
╔══════════════════════════════════╗
MULTIVERSE WORLD OF RP
╚══════════════════════════════════╝
[ SYSTEM BOOTING... ]
[ PROJECT STATUS: INITIALIZING ]
[ WORLD STATUS: NOT CREATED ]
Поздняя ночь. В тёмном офисе почти не осталось света. За окнами мерцают огни ночного города, а единственным источником освещения в кабинете служит старый монитор компьютера.
Мужчина сидит в офисном кресле, слегка …
🔴 БУМАЖНЫЙ ДОМ | БАНК ГЕРМАНИИ
#ролевая #LaCasaDePapel #БумажныйДом #криминал #драма #экшен #детектив #многострочник
СЮЖЕТ
Любая история имеет своё начало. Но далеко не каждая заканчивается там, где, казалось бы, должна.
Королевский монетный двор Испании остался позади. Мир успел переварить произошедшее, заголовки газет постепенно сменились новыми новостями, а участники самого громкого ограбления страны получили …
⠀ ⠀ ⠀ 🌟𝐓𝐄𝐑𝐍𝐀𝐋
𝑇ℎ𝑒 𝑠𝑡𝑜𝑟𝑦 𝑦𝑜𝑢 𝑤𝑖𝑙𝑙 𝑛𝑒𝑣𝑒𝑟 𝑓𝑜𝑟𝑔𝑒𝑡.
🤩🤩🤩🤩🤩🤩⭐
— Ролевой проект Eternal открывает свои ворота для тех,кто готов оставить собственный след в истории...
🔤 данном ролевом проекте вас ждёт ::
🥹 — Адекватная и открытая команда администрации.
🥹 — Интерактивы и ивенты.
🥹 — Приятная атмосфера во флуде и в ролевой.
🥹 — Множество ролей.
🥹 — И многое другое...
🍒𝐄𝐭𝐞𝐫𝐧𝐚𝐥. Твоя история начинается здесь...
Хотите укунуться с головой в атмосферу 90-тых, где сюжет разворачивается будучи построенным на костях криминалистики в Санкт-Петербурге?
Однозначно, Вам в ролевую «Черный нал»!
Что Вас ждет?
1. Затягивающий сюжет, не имеющий границ в фантазиях и желаниях Вас и Ваших персонажей.
2. Ответственная администрация, отвечающая за комфорт и дисциплину в флуде для Вашего комфорта.
3. Конкурсы, розыгрыши на звёзды между учас…
🆎🆎🆎🆎🆎🆎🆎
🌟🌟🌟🌟🌟🌟🌟🌟
🚨 Полуориджинал ролевая по фандому
"Zenless Zone Zero"
или же
🆎🆎🆎
открывает свои двери для вас.
╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪╾࣪
🔥 Постоянно развивающийся масштабный сюжет с разнообразными ивентами по тематике #постапокалипсис #киберпанк #повседневщина #будущее #триллер #криминал
🔥 Весёлый коллектив и доброжелательная администрация, которая поможет вам стать своим человеком.
🔥 Развитие и веде…
WNUniversity.
#ориджинал #конференция #NC17 #многострочник #среднестрочник #повседневность #реализм #современность #университет #сша #америка #вашингтон #литературный_стиль.
СЮЖЕТ:
Вашингтонский Национальный Университет (ВНУ) существует с 1903 года. Престижный диплом, полезные связи, карьера, безбедное и якобы светлое будущее. Звучит неплохо, даже многообещающе.
На деле же — пары с похмелья, бессонные ночи да сосе…
🐋🐋🐋🐋🐋
❌❌🐋🐋🐋🐋🐋🐋🐋🐋🐋
❌❌❌❌🐋🐋🐋
Когда-то на далёком Авалоне магия цвела пышнее райских садов, а среди чудесных созданий жили не менее волшебные люди. Но дети Моррианы забыли о рамках дозволенного — и остров погрузился под воду, унося за собой жизни тысяч авалонцев.
С той катастрофы минуло полтора века. Потомки авалонцев скрываются среди людей, спасаясь от костров инквизиции, а демоническая хтонь выходит на тропу войны. Гор…
Signed teïzan.kz
Showing the 12 most recent of 163 posts we hold for @piarrolok9. 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.
Forward network
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 138 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
9
handles named in this channel’s posts, vacant today
Evidenced gone
6
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@piarrolok9 named 9 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@twhroleplay named in 2 posts, 8 August 2026 – 9 August 2026 · confirmed gone 11 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@asheaprp named in 1 post, 9 August 2026 – 9 August 2026 · confirmed gone 11 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@alcoldimpact named in 1 post, 9 August 2026 – 9 August 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@nowhereinformation named in 1 post, 9 August 2026 – 9 August 2026 · confirmed gone 31 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@dankehu named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 13 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@jfkjkfkfjfkfjf named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 12 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pastraetjar named in 2 posts, 8 August 2026 – 9 August 2026
@assistlyrum_bot named in 1 post, 9 August 2026 – 9 August 2026
@chasmoftime named in 1 post, 9 August 2026 – 9 August 2026
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Поиск ролевых” (@piarrolok9), 6,385 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/piarrolok9.
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.