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 10 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 why it has no browse page of its own yet.
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.
Views per post sit far above this size band
25,300 average views per post against 34,555 subscribers — an engagement rate of 73.3%. Across the 8,370 registered channels in the same cohort — 31,624–99,993 subscribers, posting mainly in Russian — the middle half sit between 5.03% and 20.9%, with a median of 10.5%.
What this was computed from
Window
30 days (28 August 2026 – 27 September 2026)
Posts measured
28 of 28 published in the window (0 exact, 28 rounded by Telegram)
Views totalled
709,120
Mature posts only
79.2% over 25 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 27 September 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 1 other registered channel, 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.
32 measurements spanning 42 days, net -761. 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 34,441–35,430 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 00:38
34,555
-50
15 Sept 2026, 21:55
34,605
-23
14 Sept 2026, 04:18
34,628
-27
12 Sept 2026, 13:21
34,655
-62
10 Sept 2026, 11:57
34,717
-84
7 Sept 2026, 04:38
34,801
-21
4 Sept 2026, 09:36
34,822
-19
2 Sept 2026, 23:37
34,841
-25
2 Sept 2026, 00:23
34,866
-26
1 Sept 2026, 00:45
34,892
-34
31 Aug 2026, 01:05
34,926
-26
30 Aug 2026, 02:35
34,952
-30
29 Aug 2026, 02:35
34,982
-18
28 Aug 2026, 02:33
35,000
-24
27 Aug 2026, 04:24
35,024
-21
26 Aug 2026, 02:57
35,045
-21
25 Aug 2026, 03:46
35,066
-24
23 Aug 2026, 23:39
35,090
-31
22 Aug 2026, 05:15
35,121
-58
20 Aug 2026, 18:58
35,179
first reading
Engagement
70 posts held, back to 19 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 92 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
73.3%
avg views ÷ 34,555 subscribers
Avg views / post
25,300
28 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
28
of 70 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
Window
Rolling 30 days · latest post in window 27 September 2026
Posts held
70 (19 July 2026 – 27 September 2026)
Views total
709,120
Reactions total
14,361
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 18:23 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
533
Videos
213
Links
124
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Video runtime
7m 37s
Average length
1m 05s
Measured directly from 7 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
32,532 reactions across 70 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5992505973887996506
32,532
100.0%
Custom emoji. One row above is a 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 count beside it is Telegram’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 70 of the 70 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 32,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 19 July 2026 to 27 September 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.
НУ ЧТО НЕ ОЖИДАЛИ?
https://kick.com/jesusavgn
https://kick.com/jesusavgn
https://kick.com/jesusavgn
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
Короче у меня перегрелся комп от Сайлент Хилла и все вырубилось нахуй, так что бб.
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
Ебало Каца и Навальной представили.😆
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
Вот этот аргумент мне тоже кажется какой-то хуйней, если честно. Отвечу на него пожалуй только на этом канале.
Вот с чего вы вообще взяли, что это так работает? Что Кремль посмотрит на результаты, увидит много голосов против ЕР, испугается и такой: «Бляяя, ну всё, мобилизацию тогда проводить нельзя, народ недоволен».
Где хоть одно доказательство этой причинно-следственной связи? Или это просто потому, что так сказа…
Привет, я работаю на Кремль.
Последние несколько дней читаю комментарии на YouTube под нарезками про выборы, и порой кажется, что половину пишут кремлеботы. Потому что если это реально оппозиционно настроенные люди, то у будущего России всё совсем хуёво.
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
Мне пишут, что я тупой, нич…
Я тут принял участие в новом треке от DAYVØNE1, SXLLX, да еще и на английском языке (хотя, если бы я не сказал что я есть в этом треке, вы бы меня даже не узнали, голос там сильно изменен, но это такой стиль).
Слушайте на площадках:
Spotify: https://open.spotify.com/album/0mq0BUm9erupyEnKNpH4Tq?si=_11dUOZjS7K9Kv-RH1I_7w https://youtube.com/playlist
YouTube: https://youtube.com/playlist?list=OLAK5uy_mLz9vS2p2m_ypUv…
Но это все равно нихуя не значит, потому что этот закон просто дает президенту полномочия вводить санкции против РФ, но будет ли Трамп это делать? Вопрос риторический.
Я сильно удивлюсь если хотя бы часть из этого закона будет выполнена.
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
18+ НАСТОЯЩИЙ МАТЕРИАЛ (ИНФОРМАЦИЯ) ПРОИЗВЕДЁН, РАСПРОСТРАНЕН И (ИЛИ) НАПРАВЛЕН ИНОСТРАННЫМ АГЕНТОМ ГУБАНОВЫМ АЛЕКСЕЕМ АЛЕКСАНДРОВИЧЕМ
custom 5992505973887996506606
Showing the 12 most recent of 70 posts we hold for @pojilayahueta. 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.
Posts edited after publishing
@pojilayahueta edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
8 August 2026
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Фильмы со стримерами|Зубарев|Архив стримов|Записи|Фильмы|Сериалы|Братишкин|Хесус|Серега пират|skywhywalker|Равшан| Дипинс| Каша @filmsostrimerami · 35,577#51
Read from Telegram’s recommendation API, most recently 27 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
Рофланы Папича @roflany_papicha · 20,465 Telegram ranks this channel #37 of 71 here — alongside 70 others — read 27 September 2026
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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“JesusAVGN” (@pojilayahueta), 34,555 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/pojilayahueta.
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.