Telegram RegisterThe public register of Telegram
Telegram profile photo for 🇧🇻 پویا کتاب 🇧🇻

Channel

🇧🇻 پویا کتاب 🇧🇻

@PouyaKetab

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

657subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001320610320
TypeChannel
Username@PouyaKetab
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/PouyaKetab

Growth

6536576556 August 2026 — 653 subscribers6 August 2026 — 653 subscribers12 August 2026 — 655 subscribers19 August 2026 — 656 subscribers26 August 2026 — 657 subscribers6 August 202626 August 2026
5 measurements spanning 20 days, net +4. 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 652–658 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 10:23657+1
19 Aug 2026, 19:43656+1
12 Aug 2026, 08:25655+2
6 Aug 2026, 17:30653no change
6 Aug 2026, 06:08653first reading

Engagement

20 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.68%
avg views ÷ 657 subscribers
Avg views / post
11.1
20 posts measured
Reaction rate
8.70%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held20 (5 August 20265 August 2026)
Views total221
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:30 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 20 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 5 August 2026 to 5 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.

Recent posts

5 Aug 2026, 19:37 UTC16 viewsread 6 August 2026

------- 2026.01.01 ------- (101) ۱۰۹۱- #مادام_دولا_شانتری ۱۰۹۲- #لحظه_زوال ۱۰۹۳- #کتاب_فلسفه ۱۰۹۴- #ساعت_جز_و_مد ۱۰۹۵- #خودنمایی_با_اخلاق ۱۰۹۶- #دفترهای_زندان ۱ و ۲ ۱۰۹۷- #افسانه‌های_ایتالیا ۱۰۹۸- #لئونس_و_لنا ۱۰۹۹- #مناظر_انسانی_سرزمین_من ۱۱۰۰- #زن_بی‌گناه ۱۱۰۱- #فلاسفه_ناکام_در_عشق ۱۱۰۲- #سرزمین_خاکسترها_و_الماس‌ها ۱۱۰۳- #دوشنبه_اگزیستانسیال ۱۱۰۴- #درباره_نگریستن ۱۱۰۵- #پژوهشی_در_رئالیسم_اروپایی ۱۱۰۶- #عادت_عشق ۱

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:36 UTC11 viewsread 6 August 2026

✅ ادبیات به خودی خود ادعانامه‌ی ترسناکی است علیه هستی تحت هر رژیم یا ایدئولوژی: شهادتی شعله‌ور است درباره‌ی نارسایی‌ها و ناتوانی آن در ارضای ما. و به همین دلیل فرساینده‌ی مدام هر ساختار قدرتی است که مایل است افراد را راضی و خشنود نگه دارد. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۵۴۵ - طاقچه ♾ «پایان کتاب» ♾ 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:33 UTC11 views1 reactionsread 6 August 2026

💬 انسان تنها با حقیقت زندگی نمی‌کند؛ بلکه به دروغ نیز نیاز دارد. دروغ‌هایی که آزادانه اختراعش کرده باشد، نه آن‌هایی که به او تحمیل می‌شود؛ دروغ‌هایی که هر آن‌چه می‌نماید باشد، نه دروغ های لاپوشانی شده زیر نقاب تاریخ. داستان به وجود انسان غنا می‌بخشد، کاملش می‌سازد، و به طور گذرا این وضع مصیبت‌بار را که قسمت ماست جبران می‌کند: همیشه پیش از آن‌که بتوانیم عملاً به غنا و کمال دست یابیم آرزویش می‌کنیم و رؤیا در سر می‌پزیم

1

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:30 UTC11 viewsread 6 August 2026

🌟 آرزوی انسان پیش از هر چیز آن است که چیزی بشود متفاوت از آنچه هست. این میل سبب ایجاد بهترین و بدترین لحظه‌های تاریخ بوده است. همچنین مایه‌ی ایجاد قصه شده است. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحات ۵۳۲ - ۵۳۳ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:28 UTC10 viewsread 6 August 2026

🗣️ آن‌ها می‌توانند بی‌ادبیات به خوبی سر کنند و تشنگی خود را برای چیزهای غیرواقعی با تماشای مزخرفات تلویزیون یا خواندن داستان‌های پیش پاافتاده‌ی عاشقانه فروبنشانند. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۵۱۷ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:27 UTC8 viewsread 6 August 2026

✅ ملی‌گرایی شکلی از فقدان فرهنگ است که بر همه‌ی فرهنگ‌ها مسلط می‌شود و با همه‌ی ایدئولوژی‌ها همزیستی می‌کند. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۵۰۶ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:25 UTC9 viewsread 6 August 2026
Photo

Photo, posted without a caption

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:11 UTC12 views1 reactionsread 6 August 2026

✅ هاول در یکی از مقالاتش از یوجین اونیل نقل‌قول هولناکی می‌کند: «سال‌ها آن‌قدر برای چیزهای کوچک جنگیدیم که خودمان هم کوچک شدیم.» 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۴۷۵ - طاقچه 📱 @PouyaKetab 📚

1

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:10 UTC10 viewsread 6 August 2026

✔️ چه بهار باورنکردنی‌ای در این کشور دارند. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۴۷۵ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 19:09 UTC13 viewsread 6 August 2026

✅ شاید شرایطی استثنایی وجود داشته باشد که در آن نباید چیزهایی را گفت، اما ضمانت می‌کنم که هرگز به نفع دولت دروغ نگفته‌ام. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۴۷۳ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 18:53 UTC13 viewsread 6 August 2026

☺️ اتفاقات کمی برایم رخ داده و کتاب فراوان خوانده‌ام. «بورخس» 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۴۲۱ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

5 Aug 2026, 18:51 UTC12 viewsread 6 August 2026

✅ بقیه‌ی ما زاید به نظر می‌رسیدیم، هر چه می‌گفتند هوشمندانه، فرهیخته، سرگرم کننده و سرزنده بود. همیشه با خود می‌گفتم نمی‌شود که تا ابد همین‌طور ادامه دهند. لابد این گفت‌وگوها را در خانه تمرین می‌کردند، تا شنوندگان را با حکایت‌های غیرعادی، نقل‌قول‌های درخشان و لطیفه‌هایی که درست به موقع می‌گفتند و هر روشنفکر مآبی را کنفت می‌کردند، مبهوت سازند. 📚 موج‌آفرینی ✍️ ماریو بارگاس یوسا 🇵🇪 📁 صفحه ۴۱۸ - طاقچه 📱 @PouyaKetab 📚

Signed 🇧🇻Pouya Pana🇧🇻

Showing the 12 most recent of 20 posts we hold for @PouyaKetab. 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.

Citation-graph rank

Citation-graph rank — 75,927 of 1,620,455entries 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.

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.

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.

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

“🇧🇻 پویا کتاب 🇧🇻” (@PouyaKetab), 657 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/PouyaKetab.

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.