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 85% 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.
Previous handles
Recorded in 2019 as “کتابراه - دانلود کتاب الکترونیک و صوتی” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
33 measurements spanning 44 days, net +36. 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 15,906–15,991 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:38
15,981
+3
16 Sept 2026, 06:58
15,978
+2
13 Sept 2026, 01:55
15,976
+5
11 Sept 2026, 03:59
15,971
+2
8 Sept 2026, 05:39
15,969
+19
5 Sept 2026, 04:37
15,950
+15
3 Sept 2026, 13:21
15,935
+12
2 Sept 2026, 07:57
15,923
+7
1 Sept 2026, 09:44
15,916
-4
31 Aug 2026, 11:06
15,920
-1
30 Aug 2026, 08:55
15,921
+2
29 Aug 2026, 10:34
15,919
-2
28 Aug 2026, 09:13
15,921
-3
27 Aug 2026, 12:25
15,924
-4
26 Aug 2026, 12:14
15,928
+7
25 Aug 2026, 14:53
15,921
+1
24 Aug 2026, 11:34
15,920
-3
22 Aug 2026, 18:52
15,923
-12
21 Aug 2026, 12:06
15,935
+2
20 Aug 2026, 14:55
15,933
first reading
Engagement
39 posts held, back to 23 June 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.14%
avg views ÷ 15,981 subscribers
Avg views / post
822
2 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
2
of 39 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 2 September 2026
Posts held
39 (23 June 2026 – 2 September 2026)
Views total
1,643
Reactions total
22
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:12 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
480 reactions across 38 posts, in 4 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
188
39.2%
🔥
172
35.8%
😍
112
23.3%
👎
8
1.67%
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 39 of the 39 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 489 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 23 June 2026 to 2 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.
💯📚 کتاب صوتی «کابین انتهای قطار» با ٪۱۰۰ تخفیف
مایکل وی. ایوانوف در کتاب صوتی «کابین انتهای قطار» ضمن بیان داستانهایی واقعی از زندگی خود، دوازده درس گرانبها برای رسیدن به موفقیت درونی به شما خواهد داد که به کمکشون میتونید احساس بسیار بهتری نسبت به خودتون پیدا کنید.
🎁 این هفته با همکاری موسسه انتشارات فلسفه این اثر رو با ٪۱۰۰ تخفیف بهت هدیه میدیم.
📎 دریافت کتاب رایگان
🆔 @ketabrah
😳📚 این کتابها رو شبها نخون!
از معماهای پیچیده و قتلهای حلنشده تا رازهایی که سالها پنهون موندن، مجموعهای آماده کردیم برای کسایی که دنبال داستانهایی هستن که بعد از بستن کتاب هم دست از سرشون برنمیدارن.
🎧📚 کتابهای صوتی و متنی این مجموعه رو با تخفیف ویژه در کتابراه بخون و بشنو.
📎 مشاهده و دریافت کتابها
🆔 @ketabrah
💯📚 کتاب «سرسختی» با ٪۱۰۰ تخفیف
ایدههای کتاب «سرسختی» قدرت اون رو دارن که تحصیل، مدیریت و سبک زندگی افراد رو دگرگون کنن. آنجلا داکورث در اثر خود که در فهرست پرفروشترینهای نیویورکتایمز و آمازون قرار گرفته، به همه کسانی که به دنبال موفقیت هستن، نشون میده که راز موفقیت به اندازهای که به اشتیاق و استقامت بستگی داره، به استعداد وابسته نیست.
🎁 این هفته با همکاری نشر نوین این اثر رو با ٪۱۰۰ تخفیف بهت هدیه میدیم.
…
رنجی که درمان نشه، به رفتار تبدیل میشه...
خیلی از خشمها، ترسها و انتخابهای امروز ما، ردّپای تروماهای درماننشدهٔ گذشتهان. وقتشه این چرخه رو بشکنی. 🌿
📚 مجموعه کتابهای ویژهٔ شناخت و درمان تروما رو همین حالا با تخفیف ویژه از کتابراه دریافت کن:
📎 مشاهده و دریافت کتابها
🆔 @ketabrah
🔥📚 پرفروشترین کتابهای مرداد ماه چی بودن؟
اگه هنوز نمیدونی برای کتاب بعدیت چی رو انتخاب کنی، یه سر به پرفروشترین کتابهای مرداد ماه بزن و تا ٪۷۰ تخفیف کتاب بعدیت رو از بین پرطرفدارها انتخاب کن!
📎 مشاهده پرفروشها
🆔 @ketabrah
🎧📚 کتاب «تاریکی درون ما» با ٪۱۰۰ تخفیف
کتاب «تاریکی درون ما»، نامزد جایزهی گودریدز، قصهایست درهم تنیده از جادو، دسیسه، قدرت و عشق که تریشیا لونسلر اون رو به رشتهی تحریر درآورده. در این ماجراجویی مملو از جادو، با مضامینی همچون جاهطلبی، وفاداری و نبرد برای استقلال در جامعهی مردسالار روبهرو میشیم.
🎁 این هفته با همکاری انتشارات افرا این اثر رو با ٪۱۰۰ تخفیف بهت هدیه میدیم.
📎 دریافت کتاب رایگان
🆔 @ketabrah
بزرگسالی زمانی اتفاق میافتد که فرد در مییابد بهتر است بهخاطر دلیلی درست رنج کشید تا بهخاطر دلیلی اشتباه لذت برد...
📚 شاد بودن کافی نیست
✍🏻 مارک منسون
📎 دریافت کتاب
🆔 @ketabrah
🌿📚 کتابهایی که حالت رو خوب میکنن!
کتابهایی که امروز برات چیدیم، مثل یه نور کوچیک هستن برای وقتایی که ذهنت خستهست و دلت یه کم آرامش میخواد. هر کدومشون یه تلنگره برای پیدا کردن حال خوب، وسط شلوغی و بیحوصلگیهای زندگی. شاید یه جمله، یه فصل، یا حتی یه صدا، همون چیزی باشه که بتونه روزت رو نجات بده.
📎 مشاهده کتابها
🆔 @ketabrah
⏰📚 امشب شب آخره!
چله تابستون کتابراه به ساعات پایانی نزدیک شد! هنوز فرصت داری محبوبترین کتابهای صوتی و متنی رو تا ٪۹۰ تخفیف بخونی، بشنوی و آخرین شانسهای ۵۰ میلیون اعتبار خرید از کتابراه رو بگیری.
📎 ورود به جشنواره
🆔 @ketabrah
📚 ما باید قوی میبودیم و در برابر تکنولوژی ایستادگی میکردیم!
کتاب صوتی «بادها» نوشتهی ماریو بارگاس یوسا، نویسندهی برندهی جایزهی نوبل ادبیات، داستان پیرمردیه که در آیندهای فرضی زندگی میکنه، جایی که تمام بیماریها درمان مؤثر خودشون رو دارن، اما دیگه هیچکس سینماها و کتابفروشیها رو به یاد نمیآره و برای خلق داستان، تنها باید به کامپیوتری با هوش مصنوعی رجوع کرد. زندگی در چنین جهانی برای شخصیت اصلی این کتاب اون…
📚 کتاب «روشنایی ماندگار» آگاتا کریستی با ٪۱۰۰ تخفیف
سالها پس از مرگ آگاتا کریستی، چند داستانِ کوتاهِ کمتر خوندهشدهی او در کتاب «روشنایی ماندگار و چند داستان دیگر» به چاپ رسیدن. نویسنده در این مجموعه، هم داستانهای کارآگاهی و هم داستانهای عاشقانه خودش رو آورده!
✅ امروز در جشنواره چله تابستون کتابراه با همکاری نشر افکار این کتاب رو با ٪۱۰۰ تخفیف بهت هدیه میدیم.
📎 دریافت رایگان
🆔 @ketabrah
🔥9😍4👍1
Showing the 12 most recent of 39 posts we hold for @ketabrah. 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 4 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“کتابراه” (@ketabrah), 15,981 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ketabrah.
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.