Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
64 measurements spanning 98 days, net +891. 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 17,705–18,864 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
12 Nov 2026, 09:39
18,730
+64
10 Nov 2026, 08:56
18,666
+14
8 Nov 2026, 23:59
18,652
-5
7 Nov 2026, 19:46
18,657
+9
6 Nov 2026, 17:55
18,648
+1
5 Nov 2026, 16:50
18,647
+9
3 Nov 2026, 15:01
18,638
+1
2 Nov 2026, 14:49
18,637
+14
1 Nov 2026, 12:16
18,623
+1
31 Oct 2026, 10:17
18,622
+9
29 Oct 2026, 14:56
18,613
-11
28 Oct 2026, 16:41
18,624
+6
27 Oct 2026, 14:36
18,618
-1
26 Oct 2026, 13:11
18,619
+7
25 Oct 2026, 16:46
18,612
+16
24 Oct 2026, 20:01
18,596
+10
23 Oct 2026, 22:46
18,586
+1
22 Oct 2026, 19:50
18,585
+5
21 Oct 2026, 14:50
18,580
+7
20 Oct 2026, 09:14
18,573
first reading
Engagement
27 posts held, back to 5 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 75 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.3%
avg views ÷ 18,730 subscribers
Avg views / post
9,230
3 posts measured
Reaction rate
0.419%
reactions ÷ views · ER floor
Posts in window
3
of 27 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 10 November 2026
Posts held
27 (5 October 2025 – 10 November 2026)
Views total
27,690
Reactions total
116
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 16:40 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
218
Videos
93
Links
123
Lifetime counters from Telegram’s own channel header, read 12 November 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
20m 07s
Average length
1m 26s
Measured directly from 14 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
1,498 reactions across 26 posts, in 18 distinct kinds. The most used accounts for 66.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,001
66.8%
👍
318
21.2%
👏
42
2.80%
🌭
36
2.40%
💔
19
1.27%
👎
17
1.13%
🤣
13
0.868%
🔥
9
0.601%
🍓
8
0.534%
🤮
8
0.534%
😢
7
0.467%
🙏
6
0.401%
👌
3
0.2%
😁
3
0.2%
🤔
3
0.2%
❤🔥
2
0.134%
🕊
2
0.134%
🤯
1
0.067%
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 26 of the 27 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 1,498 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 5 October 2025 to 10 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 3 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).
🔹دقت کردید وقتی مثلا از یه سیاستمدار انتقاد میکنی، بعضیا فوری فکر میکنن طرفدار رقیبشی؟
برعکسش هم پیش میاد. میگی فلان حرف کسی که معمولا باهاش مخالفی منطقیه، بعد یکی میپرسه " از کی شدی طرفدارش؟ "
انگار هر آدمی یه پکیجه که باید همه حرفهاش رو یکجا قبول کنی یا همه رو بذاری کنار.
🔸لئور زمیگرود در کتاب "مغز ایدئولوژیک" سراغ همین موضوع میره و میپرسه چرا بعضی چارچوبهای فکری اینقدر برامون جذابن و چطور روی چیزی که…
تاریخچه بلاهت | وقتی حماقت تاریخ رو تغییر میده!
کتاب «تاریخچه بلاهت» به گردآوری حسین یعقوبی، با نگاهی طنزآمیز به سراغ حماقتها و تصمیمهای غیرمنطقی انسانها در طول تاریخ میره و نشون میده چطور بعضی اشتباهات، برای همیشه مسیر تاریخ رو تغییر دادن.
🎧 خلاصه این کتاب رو میتونید در اپیزود آخر پادکست رپاپ بشنوید.
@wrapuppod
دانلود مستقیم نسخه صوتی
دسترسی سریع به همه خلاصه کتاب های رپاپ
@Ravcast
🔸اپیزود جدید رپاپ منتشر شد.
خلاصه کتاب " تاریخچه بلاهت "
تاریخ بشر فقط داستان پیشرفت، کشف و اختراعات بزرگ نیست، بخش مهمی از اون تاریخ اشتباهات عجیب، تصمیمهای احمقانه و شکستهای باورنکردنی آدم هاست.
در این اپیزود از رپاپ، سراغ کتاب «تاریخچه بلاهت» میریم، کتابی که با نگاهی طنزآمیز و تاریخی نشون میده چطور انسانها در طول تاریخ، گاهی با تصمیمهایی کاملا اشتباه، خودشون رو گرفتار بحرانها و دردسرهای بزرگی کردن.
سفری…
📚 کتاب «شهر فرنگ اروپا» روایتی متفاوت، فشرده و گاهی طعنهآمیز از یکی از پرآشوبترین دورههای تاریخ بشره : اروپا در قرن بیستم.
قرنی که با وعده پیشرفت، علم و دنیای مدرن آغاز شد، اما خیلی زود جنگهای جهانی، انقلابها، فاشیسم، نازیسم، کمونیسم، نسلکشی و تقسیم اروپا به دو بلوک شرق و غرب رو به خودش دید.
«شهر فرنگ اروپا» قرار نیست تاریخ قرن بیستم رو به شکل معمول و سالبهسال تعریف کنه. نویسنده اتفاقات این دوره رو مثل تکه…
📚 کتاب «فمینیسم» از مارگارت والترز کتابیه درباره یکی از مهمترین جنبشهای فکری و اجتماعی دنیای مدرن.
فمینیسم دقیقا از کجا شروع شد، چه چیزی میخواست و چرا هنوز اینهمه بحث درموردش وجود داره؟
وقتی اسم فمینیسم میاد، خیلیها به تلاش برابری زن و مرد فکر میکنن، اما تاریخ این جنبش خیلی پیچیدهتر و پرماجراتر از این تعریف سادست.
کتاب در واقع تلاش میکنه توضیح بده چرا زنان در بخش بزرگی از تاریخ از بسیاری حقوق اجتماعی و سیا…
📚 «فلسفه آزادی» از لارس اسوندسن کتابیه درباره یکی از مهمترین و در عین حال پیچیدهترین مفاهیم زندگی ما: آزادی واقعا یعنی چی و یک انسان تا چه اندازه میتونه آزاد باشه؟
ما معمولا آزادی رو خیلی ساده تعریف میکنیم، اینکه کسی جلوی انتخابهامون رو نگیره، هرطور که میخوایم زندگی کنیم و برای خودمون تصمیم بگیریم. اما اسوندسن نشون میده ماجرا پیچیدهتر از این حرفهاست.
انتخابهای ما همیشه در دل محدودیتهای اجتماعی، قانونی، ا…
📚 «مغز ایدئولوژیک» کتابیه درباره این پرسش مهم : چرا بعضی باورها انقدر عمیق در ذهن ما ریشه میکنن و چرا وقتی با اطلاعاتی خلاف عقایدمون روبهرو میشیم، گاها واکنش منطقی و بیطرفانه ای نداریم؟
این کتاب میره سراغ رابطه بین مغز، هویت و ایدئولوژی، و نشون میده که باورهای ما بخشی از تصویر و شخصیتی میشن که از خودمون ساختیم. برای همین زیر سؤال رفتن یک باور میتونه برای ذهن، چیزی شبیه به تهدید شدن هویت تلقی بشه.
«مغز اید…
🔸اپیزود جدید رپاپ منتشر شد.
این بار رفتیم سراغ کتاب «سیاست» نوشته کنت میناگ، یه کتاب کوتاه و جمعوجور که کمک میکنه از پایه بفهمیم سیاست دقیقا چیه و چرا انقدر در زندگی ما تاثیرگذاره.
میناگ توضیح میده که سیاست فقط در دعوای دولتها، انتخابات و آدمهایی که در مجلس صندلی دارن نیست، سیاست از جایی شروع میشه که آدمها کنار هم زندگی میکنن، تصمیم میگیرن، با هم اختلاف پیدا میکنن و دنبال قدرت، آزادی یا عدالت میگردن.
ک…
📕 اگر تا امروز فکر میکردید پرندهها موجوداتین که فقط باید تماشا کرد و از آواز و پروازشان لذت برد، کتاب «فلسفه پرندگان» نظرتان را عوض میکند. این کتاب پرندهها را نه به چشم سوژه های زیست شناسی، بلکه به عنوان معلمانی خاموش معرفی میکند، موجوداتی که از دل مهاجرت، همکاری، شجاعت، عشق و حتی آسیبپذیری، درسهایی برای زندگی انسان بیرون میکشند.
البته این کتابی نیست که به شما بگه چطور زندگی کنید، بلکه دعوتتان میکند جهان …
📕« فلسفه پرندگان » کتابیه که پرندهها رو بهونه میکنه تا از زندگی جمعی، آزادی و همکاری حرف بزنه. نه از زبان فیلسوفها و معلمان، از زبان طبیعت. فلسفه پرندگان از اون دسته کتابهاست که با نگاه به دنیای پرندهها، تو رو وادار میکنه به مفهوم «ما» بودن فکر کنی، نه از دید انسان، بلکه از دید طبیعت.
🎧کتابی خواندنی که اگر فرصت مطالعه آن را ندارید، خلاصه مفید آن در دو قسمت از پادکست رپاپ قابل شنیدنه.
دانلود مستقیم قسمت اول
دا…
پادکست رپاپ pinned «📚 لیست خلاصه کتاب های پادکست رپاپ به همراه لینک دانلود مستقیم : 🔸 کتاب انسان خردمند ( چهار قسمت ) / دانلود 🔹 کتاب خواهر / دانلود 🔸 کتاب افسانه فردگرایی / دانلود 🔹 کتاب همه مردان شاه ( دو قسمت ) / دانلود 🔸 کتاب فلسفهی آزادی / دانلود 🔹 کتاب در باب حکمت…»
📚 لیست خلاصه کتاب های پادکست رپاپ به همراه لینک دانلود مستقیم :
🔸 کتاب انسان خردمند ( چهار قسمت ) / دانلود
🔹 کتاب خواهر / دانلود
🔸 کتاب افسانه فردگرایی / دانلود
🔹 کتاب همه مردان شاه ( دو قسمت ) / دانلود
🔸 کتاب فلسفهی آزادی / دانلود
🔹 کتاب در باب حکمت زندگی / دانلود
🔸 کتاب تاریخ جهان / دانلود
🔹 کتاب کمونیسم رفت، ما ماندیم و خندیدیم / دانلود
🔸 کتاب دختران قوچان / دانلود
🔹 کتاب از بحران تا فروپاشی / دانلود
🔸…
❤48👍10🌭1😁1
Showing the 12 most recent of 27 posts we hold for @wrapuppod. 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 2 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@wrapuppod named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@wtapuppod named in 4 posts, 8 August 2026 – 16 August 2026
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.
پادکست رخ @rokhpodcast · 114,616 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 14 August 2026
پادکست رخ @podcastrokh · 19,258 Telegram ranks this channel #2 of 75 here — alongside 74 others — read 5 October 2026
MovarekhPodcast پادکست مورخ احمدهاشمی @movarekhpodcast · 63,428 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 22 August 2026
Bplus @podcastbplus · 97,451 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 16 August 2026
کتاب صوتی | فارسی پاد @farsi_pod · 20,893 Telegram ranks this channel #29 of 73 here — alongside 72 others — read 26 September 2026
جافکری @jafekri_podcast1 · 36,703 Telegram ranks this channel #59 of 72 here — alongside 71 others — read 7 September 2026
EGHMAA | اغما @eghmaa · 57,077 Telegram ranks this channel #86 of 91 here — alongside 90 others — read 22 August 2026
This channel appears in 7 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“پادکست رپاپ” (@wrapuppod), 18,730 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/wrapuppod.
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.