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 100% 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
34 measurements spanning 53 days, net -754. 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 24,733–25,713 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
28 Sept 2026, 19:41
24,846
-151
18 Sept 2026, 00:00
24,997
-43
15 Sept 2026, 18:17
25,040
-24
14 Sept 2026, 00:40
25,064
-16
12 Sept 2026, 08:55
25,080
-22
10 Sept 2026, 01:36
25,102
-34
6 Sept 2026, 18:01
25,136
-45
4 Sept 2026, 10:02
25,181
-35
2 Sept 2026, 21:49
25,216
-24
1 Sept 2026, 18:04
25,240
-24
31 Aug 2026, 17:26
25,264
-21
30 Aug 2026, 18:28
25,285
-23
29 Aug 2026, 17:25
25,308
-14
28 Aug 2026, 19:14
25,322
-5
27 Aug 2026, 22:14
25,327
-5
26 Aug 2026, 22:33
25,332
-9
26 Aug 2026, 01:23
25,341
-6
25 Aug 2026, 04:39
25,347
-9
23 Aug 2026, 22:35
25,356
-24
22 Aug 2026, 08:08
25,380
first reading
Engagement
62 posts held, back to 5 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.60%
avg views ÷ 24,846 subscribers
Avg views / post
1,390
33 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
33
of 62 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 31 of 33 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 September 2026
Posts held
62 (5 July 2026 – 28 September 2026)
Views total
45,947
Reactions total
508
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 17:24 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
516
Videos
27
Links
442
Lifetime counters from Telegram’s own channel header, read 29 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
1h 02m
Average length
31m 23s
Measured directly from 2 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
1,232 reactions across 60 posts, in 3 distinct kinds. The most used accounts for 95.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,178
95.6%
👍
50
4.06%
👎
4
0.325%
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 60 of the 62 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 1,232 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 5 July 2026 to 28 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.
«خستهام؛ نمیتوانم به چیزی فکر کنم. فقط میخواهم صورتم را در آغوشت بگذارم، دستت را روی سرم احساس کنم و تا ابد همینطور بمانم.»
— فرانتس کافکا
با پایان بخش کافکا، به پایان نخستین مرور «دُر» بر ادبیات آلمان هم میرسیم.
این البته پایان کافکا برای ما نیست. جهان او، نامهها، اندیشهها و آثارش بسیار گستردهتر از آن است که در یک مرور تمام شود؛ در ادامه حتماً دوباره به او بازخواهیم گشت.
از آلمان عبور میکنیم و مسیرمان ر…
«قلب، خانهایست با دو اتاق خواب؛
در یکی رنج زندگی میکند و در دیگری شادی.
نباید خیلی بلند خندید، وگرنه رنج در اتاق دیگر بیدار میشود…
اما شادی؟ نه؛ گوشِ شادی سنگین است و صدای رنج را از اتاق مجاور نمیشنود.»
گفتوگوهایی کافکا، با گوستاو یانوش
برای من، کافکا یکی از معصومترین ٫لطیفترین و آسیبپذیرترین چهرههای ادبیات مدرن است؛ انسانی بسیار حساس به رنج، تنهایی و داوری، و در عین حال چنان سختگیر نسبت به خودش که گویی ا…
مسخ؛ وقتی انسان، پیش از آنکه بمیرد، از جهانِ دیگران حذف میشود
در «مسخ»، گرگور سامسا یک صبح از خواب بیدار میشود و میبیند به موجودی حشرهگون بدل شده است. کافکا هیچوقت توضیح نمیدهد چرا؛ و شاید همین مهمترین نکته باشد. مسئله، علتِ دگرگونی نیست؛ مسئله این است که پس از آن، دیگران با او چگونه رفتار میکنند.
گرگور هنوز همان ذهن، خاطره و احساسات پیشین را دارد، اما چون دیگر نمیتواند کار کند، حرف بزند و نقش سابقش را در…
■مسخ
■فرانتس کافکا
رمان مسخ اثر نویسندهی نامدار ادبیات آلمانی، «فرانتس کافکا» و یکی از نام آشناترین آثار او است. این رمان که نخستینبار در سال ۱۹۱۵ منتشر شد، داستان تاجری به نام گرگور سامسا است که یک روز، بههنگام برخاستن از خواب، متوجه میشود که به یک حشرهی بزرگ تبدیل شده است.
این داستان محبوب بارها مورد بررسی منتقدین قرار گرفته و تعبیرهای گوناگونی از آن ارائه شده است. کافکا، داستاننویس برجستهی قرن بیس…
«مادر از همه ضعیفتر بود؛
نه بهخاطر غصههای مشترکمان،
بلکه بهخاطر غصههای خصوصیِ هرکدام از ما که خورده بود.»
— فرانتس کافکا، قصر
#فرانتس_کافکا
#کافکا
#قصر
#آمالیا
#ادبیات_آلمان
#ادبیات_مدرن
#ادبیات_جهان
#دُر
#گذر_هنر
📚 @dor_book
■قصر
■فرانتس کافکا
رمان قصر با عنوان انگلیسی The Castle در ۲۰ فصل نگاشته شده که فصل بیستم و پایانی آن ناتمام مانده است اما از محتوا و جریان داستان چنین برمی آید که رمان بعد از آن چندان ادامه ندارد.
به دلیل مرگ زودهنگام کافکا در سال ۱۹۲۴ و در سن 41 سالگی او این فرصت نیافت تا فصل آخر را به پایان رساند.
کتاب قصر در ادبیات جهان رمانی فاخر وبه شمار می رود هر چند که فرانتس کافکا معتقد بود نوشته هایش به اندازهای که باید،…
پزشک_دهکده
فرانتس_کافکا
کتاب پزشک دهکده نوشتهی فرانتس کافکا، مجموعهای از داستانهای کوتاه این نویسنده است که اغلب قالبی اجتماعی دارند. کافکا در این داستانهای دراماتیک، به ترسیم احساسات مختلف پرداخته و وقایع و اتفاقات گوناگون را بدون تاکید بر آغاز و پایانی مشخص، به شکلی هنرمندانه به مخاطب ارائه کرده است.
پزشک دهکده مجموعهای از داستانهای کوتاه فرانتس کافکاست که هرکدام، سیر و سرانجام منحصربهفرد خود را دارند، ول…
«فهمیدن سرانجام از راه میرسد؛ اما زمانی که دیگر فهمیدن، چیزی را نجات نمیدهد.»
— فرانتس کافکا، محکومین
در جهان کافکا، گاهی حکم پیش از آن صادر شده که انسان حتی بداند چه خطایی کرده است. قانونی هست، دستگاهی هست، مأموری هست و مجازاتی که در راه است؛ تنها چیزی که غایب مانده، توضیح است.
کافکا از جهانی مینویسد که در آن انسان پیش از آنکه فرصت پرسیدن داشته باشد، وارد سازوکاری شده که تصمیمش را گرفته است. حقیقت نه برای نجا…
■گروه محکومین
■فرانتس کافکا
گروه محکومین نوشتهی فرانتس کافکا، داستانی نمادین از سرنوشت انسانهاییست که در جزیرهای عجیب و ترسناک، همگی به مرگ محکوم شدهاند و علت آن را نیز نمیدانند. سرزمینی که نماد جهان است و ماشین اعدامی در آن وجود دارد تا محکومان را به طرز وحشتناکی شکنجه و روانه مرگ کند. همچنین در ابتدای این کتاب شما نوشتهای از صادق هدایت به نام پیام کافکا را خواهید شنید که مرور و تحلیلی از زندگی و آثار کافکاس…
«دوستت همهچیز را میداند؛ هزار بار بهتر از خودت.»
— فرانتس کافکا، حکم
حکم؛ یک شب در سپتامبر ۱۹۱۲
کافکا «حکم» را در یک شب نوشت؛ از حدود ده شبِ ۲۲ سپتامبر تا سپیدهدم روز بعد. ساعتها بیوقفه پشت میز ماند و وقتی آخرین جمله را نوشت، هوا روشن شده بود.
این شب در زندگی ادبی او نقطهای تعیینکننده بود؛ برای نخستینبار احساس کرد داستانی یکپارچه و بیگسست از درونش بیرون آمده است. اندکی بعد، همین دوره به «مسخ» و برخی از م…
●حکم
●فرانتس کافکا
داستان «حکم» بیشتر از سایر آثار کافکا و از جنبه های گوناگون و بر اساس تئوری های مختلف هنری مورد نقد و بررسی قرار گرفته است .کتاب حاضر علاوه بر داستان «حکم» در بردارنده چکیده ای از این تعابیر و نیز یادداشت هایی از کافکا در مورد این داستان است .
[✓ دریافت فایل صوتی]
[✓ دریافت فایل Pdf]
#فرانتس_کافکا #کافکا #حکم #ادبیات_آلمان #ادبیات_جهان #گذر_هنر
📚 @dor_book
❤9👍2
Showing the 12 most recent of 62 posts we hold for @dor_book. 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
@dor_book edited 2 posts 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
11 August 2026
Most recent edit
3 September 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
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.
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.
Read from Telegram’s recommendation API, most recently 15 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.
صدای کتاب️ @bookaudioss · 92,115 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 6 September 2026
کتابهای ممنوعه @ketab_mamnue · 29,179 Telegram ranks this channel #5 of 69 here — alongside 68 others — read 9 September 2026
کتاب صوتی @behtarinhayesoti · 92,113 Telegram ranks this channel #23 of 78 here — alongside 77 others — read 17 August 2026
کتابهای ممنوعه @ketab_mamnouee · 78,681 Telegram ranks this channel #29 of 93 here — alongside 92 others — read 19 August 2026
PDF book @PDFbo0ok · 114,784 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 14 August 2026
کتاب صوتی | فارسی پاد @farsi_pod · 20,680 Telegram ranks this channel #35 of 73 here — alongside 72 others — read 26 September 2026
تیکه کتاب @irTBook · 254,498 Telegram ranks this channel #40 of 75 here — alongside 74 others — read 25 August 2026
کتاب صوتی @ketabkadesoti · 31,924 Telegram ranks this channel #43 of 72 here — alongside 71 others — read 6 September 2026
کتاب نایاب @ketabnayyab · 89,465 Telegram ranks this channel #58 of 92 here — alongside 91 others — read 17 August 2026
This channel appears in 9 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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“️ (دُر | گذر هُنر )” (@dor_book), 24,846 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/dor_book.
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.