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PORNSTAT / статистика

@pornstat

On this record: Topic · Observations · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

33,343subscribers

+652 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001309307197
TypeChannel
Username@pornstat
Created16 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live19 October 2026
Measurements held44
Confirmed unchanged1 time, most recently 19 October 2026
On Telegramt.me/pornstat

Topic

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.

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

25,000 average views per post against 33,343 subscribers — an engagement rate of 74.9%. Across the 8,299 registered channels in the same cohort — 31,630–99,995 subscribers, posting mainly in Russian — the middle half sit between 5.03% and 20.6%, with a median of 10.4%.

What this was computed from
Window30 days (19 September 2026 – 19 October 2026)
Posts measured46 of 46 published in the window (0 exact, 46 rounded by Telegram)
Views totalled1,148,780
Mature posts only76.4% over 45 posts read at least 24h after publication
Subscribers33,343 measured 19 October 2026
Cohortb31623:rus · 8,299 channels · p10 2.54% · p25 5.03% · p50 10.4% · p75 20.6% · p90 35.3%
Position in cohort99.205th percentile · 7.2× the cohort median
Uncertainty±0.088% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

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 19 October 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.

Growth

32,53533,34332,9396 August 2026 — 32,691 subscribers6 August 2026 — 32,691 subscribers7 August 2026 — 32,709 subscribers8 August 2026 — 32,707 subscribers9 August 2026 — 32,715 subscribers10 August 2026 — 32,720 subscribers11 August 2026 — 32,698 subscribers12 August 2026 — 32,680 subscribers13 August 2026 — 32,676 subscribers14 August 2026 — 32,654 subscribers16 August 2026 — 32,642 subscribers17 August 2026 — 32,628 subscribers18 August 2026 — 32,621 subscribers19 August 2026 — 32,609 subscribers20 August 2026 — 32,604 subscribers21 August 2026 — 32,600 subscribers22 August 2026 — 32,591 subscribers24 August 2026 — 32,576 subscribers25 August 2026 — 32,560 subscribers26 August 2026 — 32,549 subscribers27 August 2026 — 32,536 subscribers28 August 2026 — 32,535 subscribers29 August 2026 — 32,538 subscribers30 August 2026 — 32,552 subscribers31 August 2026 — 32,555 subscribers1 September 2026 — 32,570 subscribers2 September 2026 — 32,575 subscribers3 September 2026 — 32,568 subscribers6 September 2026 — 32,577 subscribers9 September 2026 — 32,626 subscribers11 September 2026 — 32,747 subscribers13 September 2026 — 32,769 subscribers15 September 2026 — 32,807 subscribers17 September 2026 — 32,841 subscribers26 September 2026 — 32,985 subscribers4 October 2026 — 33,152 subscribers8 October 2026 — 33,204 subscribers13 October 2026 — 33,271 subscribers14 October 2026 — 33,280 subscribers15 October 2026 — 33,308 subscribers16 October 2026 — 33,317 subscribers17 October 2026 — 33,328 subscribers18 October 2026 — 33,342 subscribers19 October 2026 — 33,343 subscribers6 August 202619 October 2026
44 measurements spanning 74 days, net +652. 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 32,414–33,464 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)SubscribersChange
19 Oct 2026, 16:1133,343+1
18 Oct 2026, 17:0133,342+14
17 Oct 2026, 19:2833,328+11
16 Oct 2026, 18:0933,317+9
15 Oct 2026, 15:3833,308+28
14 Oct 2026, 12:2733,280+9
13 Oct 2026, 03:3633,271+67
8 Oct 2026, 22:1833,204+52
4 Oct 2026, 14:0133,152+167
26 Sept 2026, 07:3832,985+144
17 Sept 2026, 08:4132,841+34
15 Sept 2026, 05:1932,807+38
13 Sept 2026, 12:5832,769+22
11 Sept 2026, 19:2032,747+121
9 Sept 2026, 07:0032,626+49
6 Sept 2026, 02:3832,577+9
3 Sept 2026, 23:4132,568-7
2 Sept 2026, 10:5632,575+5
1 Sept 2026, 11:4632,570+15
31 Aug 2026, 09:5232,555first reading

Engagement

139 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 128 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
74.9%
avg views ÷ 33,343 subscribers
Avg views / post
25,000
46 posts measured
Reaction rate
0.25%
reactions ÷ views · ER floor
Posts in window
46
of 139 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 19 October 2026
Posts held139 (22 July 2026 – 19 October 2026)
Views total1,148,780
Reactions total2,874
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Oct 2026, 11:20 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

8,765 reactions across 138 posts, in 17 distinct kinds. The most used accounts for 32.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2,81632.1%
❤1,28014.6%
🕊8329.49%
🤣8019.14%
😱7038.02%
😢5986.82%
🤯5316.06%
🔥5095.81%
💩1441.64%
🐳971.11%
👎971.11%
👏820.936%
🤬800.913%
🤩760.867%
🍾710.81%
💯430.491%
🎉50.057%

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 139 of the 139 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 8,806 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 139 most recent posts we hold, published 22 July 2026 to 19 October 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 139 we hold a reading for · 0.7%
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 139 most recent posts we hold for this entry, published 22 July 2026 to 19 October 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

19 Oct 2026, 07:05 UTC≈2,880 views19 reactionsread 19 October 2026
Photo

▫️ Страны с самым большим долгом перед МВФ Больше всего должна Международному Валютному Фонду Аргентина: 56.8 миллиарда долларов, 8.2% своего ВВП! Второе место с отставанием почти в четыре раза занимает Украина: 14.4 млрд (6.4% ВВП), замыкает тройку лидеров Пакистан с 10.8 миллиардами долга (относительно скромные 2.4% ВВП) Дальше - сплошь развивающиеся страны, по большей части африканские, с отдельными вкраплениями…

🕊10👍5😱2❤1💩1

18 Oct 2026, 07:05 UTC≈13,100 views32 reactionsread 19 October 2026
Photo

▫️ Самые популярные вкусы мороженого в разных штатах США Чаще всего американцы предпочитают классическое ванильное мороженое, Rocky Road (шоколад, орехи, зефир), кофейное, с пеканом или арахисовым маслом Интересно, что в среднем по всем штатам, второе по популярности мороженое - шоколадное (тоже вполне себе классический вкус), но вот на первое место оно смогло выйти только в одном штате - во Флориде!

👍21❤8🤩3

17 Oct 2026, 07:05 UTC≈16,400 views52 reactionsread 19 October 2026
Photo

▫️ Все территории, потерянные Германией в ходе двух мировых войн По большей части, территории ушли Польше (особенно после Второй Мировой, но и после Первой - как напрямую, так и Данцигу, который ныне тоже часть Польши), какие-то небольшие части - СССР, Чехии, Дании, Франции и даже Бельгии

🕊30❤12👍6😱4

16 Oct 2026, 14:05 UTC≈19,900 views60 reactionsread 19 October 2026
Photo

▫️ Число единиц огнестрельного оружия на 100 жителей в разных регионах Европы В Скандинавии во многих регионах на 100 человек приходится больше 50 единиц огнестрела! В южной части Польше - меньше 1 единицы на сто человек В целом же, за пределами Скандинавии, больше всего оружия - в Испании, Португалии, Австрии и отдельных частях Швейцарии

🤯38👍9❤7🤩5🔥1

16 Oct 2026, 07:05 UTC≈20,500 views96 reactionsread 19 October 2026
Photo

▫️ Плотность населения России в 2025 Где живут люди в России? В Москве, Питере и на Юге! А большая часть территории нашей страны - пустошь, практически не заселённая людьми...

👍40😢24💯16❤6😱4🕊3🔥2👎1

15 Oct 2026, 14:05 UTC≈22,100 views75 reactionsread 19 October 2026
Photo

▫️ ВВП США по сравнению с ВВП Европы В 1996 году ВВП США был меньше, чем совокупный ВВП стран Западной Европы (Германии + стран к западу от неё): 8.1 трлн долларов против 9 трлн Сейчас же ВВП США превосходит ВВП всей Европы от Португалии до России, от Исландии до Кипра - на скромные 0.1 трлн долларов, но тем не менее!

👍32😢20❤10😱7👏2🔥2🕊2

15 Oct 2026, 07:05 UTC≈18,500 views80 reactionsread 19 October 2026
Photo

▫️ ВВП на душу населения в разрезе регионов и муниципалитетов стран мира При переходе на глубокий уровень детализации, ВВП (на душу, по ППС - это важно) порождает много чудес: нефтедобывающие регионы России, к примеру, живут "богаче", чем большая часть Европы и США! И вполне себе на уровне ОАЭ и столичного региона Чили (что? Да!) Балканы живут на уровне большей части Латинской Америки (но заметно лучше её беднейшей…

🤣38👏17👍8🔥6❤4💩4😱2🕊1

14 Oct 2026, 14:05 UTC≈22,100 views119 reactionsread 19 October 2026
Photo

▫️ Второй по популярности язык в разных районах Парижа: в 1920 и 2024 Сто с небольшим лет назад палитра вторых языков в Париже была очень разнообразной, но составляющей в основном из европейских языков: тут и английский, и русский, итальянский, идиш, польский, испанский и даже бретонский Сейчас картина поменялась: в центре Парижа на втором месте всё ещё английский, но на большей части территории города уже арабский…

😱39😢21❤20🤯16🤣10👍8🔥5

14 Oct 2026, 07:05 UTC≈16,200 views51 reactionsread 19 October 2026
Photo

▫️ Доля налогов в ВВП разных стран мира Самый высокий уровень налогообложения - в странах Европы: в Дании правительство собирает налогами... 45.3% ВВП! Следом с заметным отставанием идут Болгария (налоги тут составляют 38.8% от ВВП) и Швеция (38.7%). Интересно, что в лидерах, помимо стран обобщённого Запада, есть и две африканские страны: Намибия (4 место в мире!) и Свазиленд (он же Эсватини, 8 место в мире) Меньше…

👍24😱15❤5🕊3🤣2👎1💩1

13 Oct 2026, 14:05 UTC≈16,300 views30 reactionsread 19 October 2026
Photo

▫️ Как связаны инфляция и потребительская уверенность в странах ОЭСР Ожидаемо, отрицательно: в двух странах с самой высокой инфляцией (больше 30% в год) - Турции и Аргентине - одновременно зафиксирована и самая низкая потребительская уверенность В странах-лидерах по потребительской уверенности - Индии, Индонезии и Бразилии - и инфляция лежит где-то в районе 3-5% Главное исключение - Япония: при самой низкой инфляц…

🤯17❤7👍6

13 Oct 2026, 07:05 UTC≈14,800 views58 reactionsread 19 October 2026
Photo

▫️ Страны-лидеры по развитию информационных технологий Очередной рейтинг стран, всё как вы любите! Но тут первые две строчки занимают... Саудовская Аравия и ОАЭ! Большая редкость, между прочим, что страны Залива в чём-то оказываются мировыми лидерами, но для рейтинга, опирающего на (физическую и финансовую) доступность цифровых сервисов - наверное, можно поверить Из европейских стран лучше всего ИКТ развиты в Эстон…

👍23🤯13❤9😢4🕊3🤬3🤣2👎1

12 Oct 2026, 14:05 UTC≈16,600 views58 reactionsread 19 October 2026
Photo

▫️ Как далеко американские дети могут уходить без взрослых 71% 4-летних детей в США запрещено выходить из дома без взрослых, ещё 20% - выходить дальше двора своего дома. Хотя даже среди 4-леток есть 3% тех, кому родители разрешают перемещаться самостоятельно в пределах своего района! А вот 8% 17-летних подростков, которым нельзя выходить из дома без взрослых - откровенно говоря, пугают... Понятно, что у кого-то из …

👍30🤯12😱6❤5🔥2🤣2👎1

Showing the 12 most recent of 139 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

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 6 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.

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.

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MMI
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vc.ru
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Усы Пескова
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Илья Варламов
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@nafi_research · 5,864
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Stata : Экономика России в графиках
@tutstata · 4,346
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КАРТОГРАФ: Финансы и геополитика на картах
@kartografo · 5,193
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Позже всех. Уже точно
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RE:source
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#17
Раньше всех. Ну почти.
@bbbreaking · 1,975,390
#18
Медуза — LIVE
@meduzalive · 1,120,648
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Mash
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Двач
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Банкста
@banksta · 438,670
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ЕЖ
@ejdailyru · 670,886
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Varlamov News
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Лентач
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aavst2022
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КОНТЕКСТ
@kontext_channel · 866,739
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Ateo Breaking
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Дудь
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Пездуза
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Сталингулаг
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Кровавая барыня
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r/ретранслятор
@retra · 165,726
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Екатерина Шульман
@eschulmann · 301,519
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Эксплойт
@exploitex · 2,015,719
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BBC News | Русская служба
@bbcrussian · 388,839
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Артемий Лебедев
@temalebedev · 970,556
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Дабл Ять
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РБК. Новости. Главное
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Толкователь
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MarketTwits
@markettwits · 337,912
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Proeconomics
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Банки, деньги, два офшора
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addmeto
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SVTV NEWS — Либертарианское СМИ
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лидер мнений среди удобрений
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Минута в минуту
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Коммерсантъ
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Экономика
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#49
Antony Nut
@orex62 · 50,866
#50
Бэкдор
@whackdoor · 1,566,099
#51
Лепра
@Lepragram · 341,684
#52
Denis Sexy IT 🤖
@denissexy · 138,408
#53
Rozetked
@rozetked · 657,425
#54
Код.ру
@d_code · 405,443
#55
Милитарист
@infantmilitario · 276,765
#56
кабачковая икра по акции
@sale_caviar · 192,686
#57
На Zzzzzападном фронте без перемен
@ve4niyvoy · 113,205
#58
Китайская угроза
@daokedao · 98,825
#59
НЕЗЫГАРЬ
@russicaru · 426,333
#60
Теперь живите с этим
@viveconesto · 53,600
#61
4chan
@ru4chan · 184,433
#62
Потребительское поведение; факты и тренды
@c_behavior · 8,873
#63
Инсайт Комкон
@insight_comcon · 7,353
#64
Пикабу
@pikabu · 255,162
#65
Forbes Russia
@forbesrussia · 235,631
#66
Быть Или
@ToBeOr_Official · 304,584
#67
Илья Яшин
@yashin_russia · 134,770
#68
ASTRA
@astrapress · 347,916
#69
Опросы показывают обратное
@levada_center · 6,418
#70
ЧТД
@chtddd · 459,865
#71
Можем объяснить
@mozhemobyasnit · 461,517
#72
headlines
@headlines_for_traders · 115,102
#73
Русский маркетинг
@smmrus · 125,187
#74
bitkogan
@bitkogan · 258,573
#75
T-Data
@t_bank_data · 17,276
#76
[BadComedian]
@TheBadComedian · 605,774
#77
Накипело. Майкл Наки
@Nackepelo · 214,994
#78
Важные истории
@istories_media · 125,888
#79
Визуальный DIGITAL
@visualny · 1,083
#80
Sostav
@sostav · 56,317
#81
Деньги и песец
@moneyandpolarfox · 51,013
#82
Дети и плети 👶🏼👦🏻👩🏼‍🦱🧔🏾👵🏼
@detiipleti · 4,179 (as read 5 September 2026)
#83
Baza
@bazabazon · 1,561,444
#84
PLUSHEV/ПЛЮЩЕВ
@PlushevChannel · 98,014
#85
Лентач
@oldlentach · 263,474
#86
Yaplakal.com
@yaplakal · 420,510
#87
Архитектурные излишества
@arkhlikbez · 123,537
#88
Сергей Минаев
@minaevlife · 318,170
#89
Business Incognita
@businessincognita · 23,682
#90
BRIEFLY RU
@brieflyru · 100,708
#91
Тибурон
@tiburon_research · 5,692
#92
Беспощадный пиарщик
@prbezposhady · 151,450
#93

Read from Telegram’s recommendation API, most recently 5 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.

Опросы и замеры
@oizmedia · 21,770
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 22 September 2026
Statist | Финансы и бизнес
@istatist · 43,389
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 28 August 2026
Социо
@socio_news · 23,790
Telegram ranks this channel #12 of 99 here — alongside 98 others — read 17 September 2026
ИНФОГРАФ : Экономика и финансы
@infografo · 21,495
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 23 September 2026
Бизнес Факты 2.0
@facts2_0 · 32,556
Telegram ranks this channel #47 of 69 here — alongside 68 others — read 4 September 2026
Гаец
@nomerok777 · 25,817
Telegram ranks this channel #56 of 85 here — alongside 84 others — read 13 September 2026
Немецкая философия
@deutschephilosophiee · 27,724
Telegram ranks this channel #73 of 88 here — alongside 87 others — read 10 September 2026
Karfagen
@karfagen_official_te · 35,505
Telegram ranks this channel #75 of 90 here — alongside 89 others — read 2 September 2026

This channel appears in 8 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 19 October 2026 — this entry's latest reading, not the date you are reading this.

“PORNSTAT / статистика” (@pornstat), 33,343 subscribers as measured 19 October 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.