شوهر آهو خانم نویسنده: علیمحمد افغانی با صدای: حسین لی قسمت هشتم @Beheshteketab
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Channel
@Beheshteketab
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
8,714subscribers
+112 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001079292145 |
|---|---|
| Type | Channel |
| Username | @Beheshteketab |
| Description | فردوسی میگوید: «ز گیتی یکی کُنج ما را بس است». ما نیز بر آن شدهایم تا کنج آسایش و فراغی برای اهالی کتاب و اندیشه فراهم آوریم. دعوت میکنیم همراهمان باشید 📌ناشران محترم در صورت عدم رضایت نشر کتاب تان، از طریق آیدی زیر جهت حذف آن،اطلاع دهید. @zahramehr |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/Beheshteketab |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 07:55 | 8,714 | +6 |
| 5 Nov 2026, 08:36 | 8,708 | +25 |
| 1 Nov 2026, 22:29 | 8,683 | +1 |
| 26 Oct 2026, 04:31 | 8,682 | +4 |
| 23 Oct 2026, 07:17 | 8,678 | +2 |
| 20 Oct 2026, 17:07 | 8,676 | +10 |
| 17 Oct 2026, 06:36 | 8,666 | -7 |
| 14 Oct 2026, 15:19 | 8,673 | +5 |
| 11 Oct 2026, 04:41 | 8,668 | -5 |
| 5 Oct 2026, 04:58 | 8,673 | +8 |
| 27 Sept 2026, 00:40 | 8,665 | +12 |
| 17 Sept 2026, 14:17 | 8,653 | +1 |
| 13 Sept 2026, 12:55 | 8,652 | +1 |
| 9 Sept 2026, 11:57 | 8,651 | +10 |
| 3 Sept 2026, 19:41 | 8,641 | +1 |
| 31 Aug 2026, 15:05 | 8,640 | -6 |
| 28 Aug 2026, 15:53 | 8,646 | +21 |
| 25 Aug 2026, 13:23 | 8,625 | +6 |
| 24 Aug 2026, 20:41 | 8,619 | no change |
| 22 Aug 2026, 17:08 | 8,619 | first reading |
71 posts held, back to 20 August 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 17 pages of Telegram’s post history, 20 posts per page.
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 32 of 40 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 71 (20 August 2026 – 8 November 2026) |
| Views total | 27,540 |
| Reactions total | 159 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 12:02 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.
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
306 reactions across 60 posts, in 2 distinct kinds. The most used accounts for 93.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 287 | 93.8% | |
| 👎 | 19 | 6.21% |
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 71 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 306 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 71 most recent posts we hold, published 20 August 2026 to 8 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.
Telegram’s own ‘edited’ marker: 1 of 40 posts held from the last 30 days (2.50%) 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).
شوهر آهو خانم نویسنده: علیمحمد افغانی با صدای: حسین لی قسمت هشتم @Beheshteketab
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کتابها خوراک فکری آدم هستند، که اگر نباشند، فکر آدم برای رفع گرسنگیش، سراغ هر چیز بیهودهای که شده کشیده میشود. @Beheshteketab
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نتیجه اینکه قاعدهی اقلیتِ متعصب، لزوما، به نتایج ناگوار ختم نمیشود. این قاعده برعکس، گاهی میتواند جامعه را در مسیر درست جلو ببرد. بر اساسِ قاعدهی اقلیتِ متعصب، برای پیش بردن یک جامعه، نیازی نیست که اکثریت آن جامعه مترقی باشند، تنها حضور یک اقلیت نخبه، که سرسختانه بر موضع درست پافشاری میکند برای پیش بردن جامعه به سمت مطلوب کفایت می کند. @Beheshteketab پابان
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طالب بحث بسیار جالبی دارد در مورد این که چه طور برخی از قوانین اخلاقی همهگیر و جهان شمول شدهاند. او استدلال میکند که همهی قوانین اخلاقیِ همهگیر، به نوعی عدم تقارن دارند: “دزدی، تحت هر شرایطی ، کار زشتی است” یا این که ” هیچ کس نباید به هیچ عنوان شکنجه شود”. به عقیدهی طالب، علت این که این قوانین به مرور زمان همهگیر شدهاند، این نبوده که اکثریت با این گزارهها موافقت کردهاند، (چه بسا کسانی که معتقدند شکنجه و دزد…
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پاسخ طالب این است که بله. رواداری در حق دشمن متعصب، مثل رحم آوردن به گرگ است، و نتیجه میگیرد که روندی که فعلا آمریکا و اروپا در قبال مهاجران بنیادگرای سلفی در پیش گرفتهاند شبیه به خودکشی است. چون بنیادگرایان سلفی از اساس، جامعهی میزبان را قبول ندارند و دشمنان آن هستند. این میهمانان، به عنوان یک اقلیت متعصب، این قابلیت را دارند که در درازمدت هنجار خودشان را به جامعه تحمیل کنند. @Beheshteketab
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از همین روست که طالب معتقد است در مقابل بنیادگرایان سَلَفی که به غرب مهاجرت کردهاند، جامعهی غرب با یک پرسش اساسی رو به روست: آیا یک جامعهی روادار، میتواند در برخورد با دشمنان متعصب، پا روی ارزشهای روادارانهاش بگذارد و متعصبانه عمل کند؟ @Beheshteketab
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حالا بیایید، به تبعیت از طالب، قاعده ی اقلیت را در شکل جالبتری بازنویسی کنیم. یک انسان درستکار، هیچ وقت دست به کار خلاف نمیزند، اما یک خلافکار، هم در کار ِخلاف شرکت میکند و هم در کار مشروع. در روایتِ فرزندان آدم در قرآن، قابیل ابتدا تلاش میکند که از طریق رقابت مشروع، نذر کردن برای خدا، هابیل را کنار بزند. اما وقتی که نمیتواند، آن وقت دست به خشونت میبرد. در مقابل هابیل، هرگز به خشونت پناه نخواهد برد: “اگر تو برا…
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طالب، مثالهای متعدد و جالبی میزند؛ از همه گیر شدن جهانی خیلی از مسایل تاریخی و اجتماعی و اقتصادی که بر اساس قاعدهی اقلیت متعصب منطبق است، مثلا همه گیر شدن زبان انگلیسی. فرض کنید که در یک ملاقات اداری بینالمللی، ۱۹ نفر به آلمانی مسلط باشند، و یک نفر آلمانی بلد نباشد. نتیجه اینکه جلسه به انگلیسی برگزار میشود. @Beheshteketab
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نسیم نیکلاس طالب این را هم اضافه می کند که تنها پیش نیازِ موفق شدن اقلیت متعصب، پراکندگی جغرافیایی مناسب است، به طوری که در هر منطقهای از جامعه، بتوانند این هنجار را تحمیل کنند. کافی است که سه یا چهار درصد از هر روستا، شهر یا استان، از اقلیت متعصبِ پای کار تشکیل شده باشد. همین برای تبعیت کل جامعه از هنجار مدنظر کفایت میکند. @Beheshteketab
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اقلیتِ متعصب میتواند به دو شکل بر جامعه تاثیر بگذارد؛ اولا جامعه را به هنجار مورد علاقهی خودش تسلیم کند، ثانیا ناظر ناآگاه را، به این نتیجهگیری غلط بیندازد که آن چه که در جامعه رخ داده، خواست اکثریت جامعه بوده است. @Beheshteketab
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نتیجه اینکه کنفرانس برای این که خیال خودش را راحت کند، به همه نوشیدنی کوشر میدهد. آنها که متعصب نیستند، (روادار هستند) در هر حال نوشیدنی را مصرف میکنند (چه بسا خیلی از آنها اصلا متوجه نمیشوند که نوشیدنی کوشر هست یا نه. خود نسیم طالب وقتی این را میفهمد که یکی از دوستانش به آن اشاره میکند). یهودیها هم که نوشیدنی مطلوبشان را مینوشند. به این ترتیب، اکثریت کنفرانس از نظر اقلیت تابعیت میکند. @Beheshteketab
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بر این اساسِ بحثی است که میشود آن را قاعدهی اقلیتِ متعصب نام گذاشت، و موضوع فصلی از کتابِ نسیم نیکلاس طالب است. این قاعده، در مورد یک طرفه بودن خیابانِ تعصب است، و این که چه طور متعصبها، حتی اگر اقلیتِ مطلق باشند، میتوانند قاعدهشان را به هنجار جامعه تبدیل و تحمیل کنند. خودِ طالب، زمانی به این مساله فکر کرده که در جریانِ شرکت در یک کنفرانس، متوجه شده همهی نوشیدنیهای تهیه شده برای حاضران کوشر هستند (کوشر تهیهی …
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Showing the 12 most recent of 71 posts we hold for @Beheshteketab. 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.
Named by 7 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.
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.
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.
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“در گذرِ كتاب” (@Beheshteketab), 8,714 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/Beheshteketab.
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.