Other / unclassifiable — 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 57% 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.
Growth
28 measurements spanning 29 days, net -123. 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 32,507–32,748 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
3 Sept 2026, 23:41
32,568
-7
2 Sept 2026, 10:56
32,575
+5
1 Sept 2026, 11:46
32,570
+15
31 Aug 2026, 09:52
32,555
+3
30 Aug 2026, 12:26
32,552
+14
29 Aug 2026, 13:34
32,538
+3
28 Aug 2026, 11:44
32,535
-1
27 Aug 2026, 14:05
32,536
-13
26 Aug 2026, 16:43
32,549
-11
25 Aug 2026, 14:11
32,560
-16
24 Aug 2026, 12:28
32,576
-15
22 Aug 2026, 18:53
32,591
-9
21 Aug 2026, 08:25
32,600
-4
20 Aug 2026, 11:51
32,604
-5
19 Aug 2026, 13:28
32,609
-12
18 Aug 2026, 12:24
32,621
-7
17 Aug 2026, 14:26
32,628
-14
16 Aug 2026, 08:18
32,642
-12
14 Aug 2026, 17:17
32,654
-22
13 Aug 2026, 09:24
32,676
first reading
Engagement
67 posts held, back to 22 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.9%
avg views ÷ 32,568 subscribers
Avg views / post
13,300
49 posts measured
Reaction rate
0.438%
reactions ÷ views · ER floor
Posts in window
49
of 67 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 3 September 2026
Posts held
67 (22 July 2026 – 3 September 2026)
Views total
652,400
Reactions total
2,855
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 22:12 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
3,973 reactions across 66 posts, in 17 distinct kinds. The most used accounts for 36.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,442
36.3%
❤
515
13.0%
🕊
346
8.71%
🤣
296
7.45%
😢
289
7.27%
🔥
280
7.05%
😱
254
6.39%
🤯
224
5.64%
🐳
62
1.56%
👏
51
1.28%
💩
51
1.28%
🤬
49
1.23%
👎
39
0.982%
🍾
38
0.956%
🤩
28
0.705%
🎉
5
0.126%
💯
4
0.101%
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 67 of the 67 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 4,014 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 22 July 2026 to 3 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 67 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pornstat. 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 67 most recent posts we hold for this entry, published 22 July 2026 to 3 September 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.
▫️ Как относятся к ООН в разных странах мира
В странах обобщённого Запада - по большей части положительно, за исключением резко негативного отношения к ООН в Израиле (ну, тут понятно почему), довольно негативного в Японии и слабо-негативного - в Испании. В Африке и ЮВА отношение к ООН по большей части довольно позитивное
Не очень любят ООН в Турции, неоднозначно к нему относятся в Чили и Аргентине
▫️ Наиболее и наименее безопасные города в мире
Самые безопасные города мира находятся на Востоке: как на Ближнем (Доха и Дубай, занявшие первые две строчки рейтинга), так и на Дальней: Тайбэй на 3 строчке, следующие за ним Гонконг и Сингапур
А вот опаснее всего - в Латинской Америке (здесь 7 городов из топ-10, включая (анти)лидера - венесуэльский Каракас) и ЮАР (3 города в топ-10 по опасности)
▫️ Две части Бразилии с одинаковым населением
Огромная территория страны (большая часть Амазонии, собственно) на левой карте и тоненькая полоска побережья на правой - заселены одинаково!
Всего же в пределах 150 километров от побережья живёт 55% населения Бразилии - больше 100 миллионов человек! А в крупнейшем по площади штате, занимающем большую часть Амазонии, только 4.2 миллиона
▫️ Районы в США с доминирующим испанским
И да, таких районов (counties) - где жителей с родным испанским больше, чем с родным английским! - уже немало вдоль южной границы США. Да и на удалении от границы тоже хватает
▫️ Вовлечение мужчин и женщин в получение высшего образования в разных странах мира
И всё-таки, немного про образование 1 сентября надо написать! Вот, к примеру, образование становится всё более женским: в 1970 на 100 получающих высшее образование мужчин приходилось 59 женщин. В 2001 эти показатели сравнялись, а сейчас уже на 100 мужчин приходится 112 женщин!
Местами превосходство женщин ещё более заметно: в Бразил…
▫️ Самые популярные игры серии GTA в разных странах мира
Говорить 1 сентября про школу и учёбу - скучно, поэтому поговорим про то, чем школьники себя развлекают во внеучебное время - игры! В лице легендарной серии GTA
В большинстве стран мира из всех игр франшизы чаще всего "гуглят" последнюю - GTA V
В Латинской Америке чаще побеждает San Andreas (видимо, за счёт несколько более близкой культурной составляющей?), …
▫️ Переименования географических объектов в США
Недавнее переименование озера Онтарио в озеро Америка стало уже третьим "географическим" решением Трампа: год назад залив из Мексиканского стал Американским, а гора Денали стала горой МакКинли (интересно, что в Денали её переименовали всего в 2015 году - до этого она как раз и была горой МакКинли)
При этом до Трампа все переименования делались или через широкие голосо…
▫️ Сколько лет прошло между появлением всеобщего избирательного права у мужчин и у женщин в разных странах Европы
У нас - ноль! Как и в большей части стран Восточной и Северной Европы
А в Греции и Швейцарии - больше века!..
▫️ Насколько разные страны мира похожи на США
Сильнее всего на США с точки зрения демографии, культуры, политики, инфраструктуры и т.д. похожа Канада! В общем-то, неудивительно. На втором месте идёт Австралия, потом Новая Зеландия, Великобритания и Ирландия - тоже вполне ожидаемый список
А вот мы похожи на США примерно так же, как и Бразилия, ЮАР, Турция, Япония и большая часть стран Восточной Европы (а ещё тут Исл…
▫️ Что важнее всего для европейцев при покупке еды
Цена! От Португалии до Швеции, от Ирландии до Греции, большинство европейцев смотрит прежде всего на цену. Но есть исключения!
Для итальянцев (и жителей Словении) на первом месте - происхождение продуктов питания, для жителей Австрии, Венгрии и Словакии - вкус, для румын - безопасность, а просвещённые жители Нидерландов и Люксембурга на первое место ставят содержан…
▫️ Все известные метеоритные кратеры на планете
В Китае их почти нет, как и в Африке (но там, скорее, никто особо и не искал) и большей части Южной Америки. А вот Северная Америка, Австралия и Европа (особенно северная её часть!) буквально утыканы кратерами
Старейшие и крупнейшие при этом - в Северной Америке и ЮАР
▫️ Сколько лет разные территории находились под властью Китая
Ядро территории Китая принадлежит ему уже более трёх тысяч лет! Прибрежные регионы Китая - больше двух тысяч, а вот западная часть страны - в основном считанные века, а не тысячелетия
Ряд регионов, которые Китай любит считать исторически своими (Байкал, к примеру, или Монголия), находились под его властью и того меньше - меньше 200 лет в случае Байкала, …
👍43❤11🤯8👎1🕊1🤬1😱1
Showing the 12 most recent of 67 posts we hold for @pornstat. 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
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 5 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.
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.
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.
Statist | Финансы и бизнес @istatist · 43,747 Telegram ranks this channel #10 of 97 here — alongside 96 others — read 28 August 2026
Karfagen @karfagen_official_te · 35,585 Telegram ranks this channel #75 of 90 here — alongside 89 others — read 2 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“PORNSTAT / статистика” (@pornstat), 32,568 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/pornstat.
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.