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Channel

نزار قبانی

@NAZAR_QABANY

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

19,769subscribers

+243 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001133256827
TypeChannel
Username@NAZAR_QABANY
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/NAZAR_QABANY

Topic

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 56% 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.

Growth

19,52119,76919,6456 August 20268 November 2026
61 measurements spanning 94 days, net +243. 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 19,484–19,806 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
8 Nov 2026, 08:5719,769+1
6 Nov 2026, 03:3919,768+4
5 Nov 2026, 02:4019,764+4
4 Nov 2026, 00:4019,760-7
3 Nov 2026, 02:2919,767+2
1 Nov 2026, 23:4619,765+1
1 Nov 2026, 02:5619,764+3
31 Oct 2026, 01:4719,761+2
30 Oct 2026, 04:4619,759+16
29 Oct 2026, 04:2119,743+1
28 Oct 2026, 01:3119,742+14
27 Oct 2026, 00:4619,728+12
25 Oct 2026, 23:4019,716+1
24 Oct 2026, 20:3719,715+8
23 Oct 2026, 22:1419,707+1
22 Oct 2026, 23:1819,706+15
21 Oct 2026, 18:5919,691+3
20 Oct 2026, 12:1619,688+9
19 Oct 2026, 09:1519,679-4
18 Oct 2026, 09:1619,683first reading

Engagement

90 posts held, back to 8 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.39%
avg views ÷ 19,769 subscribers
Avg views / post
1,660
51 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
51
of 90 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
WindowRolling 30 days · latest post in window 7 November 2026
Posts held90 (8 July 2026 – 7 November 2026)
Views total84,591
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 03:24 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

Video runtime
4m 51s
Average length
42s

Measured directly from 7 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 51 posts held from the last 30 days (3.92%) 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).

7 Nov 2026, 19:02 UTC775 viewsread 8 November 2026

لا أحبُّ الحب الصامت، أخبرني كَمْ تحبّني وأجعلني أجن بك. «من عشقِ خاموش را دوست ندارم، بگو چقدر دوستَم داری و مَرا دیوانه خودت کن...» نجيب محفوظ https://t.me/NAZAR_QABANY

6 Nov 2026, 19:54 UTC≈1,450 viewsread 8 November 2026
Forwarded from @namehayeasheqaneh

یار عزیز، همین الان نامه‌ات را خواندم و تا آنجایی که برای ویکتورت ممکن بود دور از تو شاد باشد، شاد هستم. تنها افسوسم این است که ندیدم نامه را از درون پیراهنت بیرون می‌آوری. به نظرم هنگامی که می‌توانم هم دست‌خط تو را و هم کاغذی که روی سینه‌ات بوده را ببوسم شادی و خوشبختی‌ام دوبرابر می‌گردد. بر دیوانگی‌هایم نخند. واقعاً به نظرم نامه‌ای که نزدیک قلبت بوده حاکی از چیزی است که عمیقاً اسرارآمیز و به طرزِ بی‌نظیری شیرین و د…

6 Nov 2026, 18:50 UTC≈1,570 viewsread 8 November 2026

دوستت دارم و هراسانم دقایقی بگذرند که بر حریر دستانت دست نکشم و چون کبوتری بر گنبدت ننشینم و در مهتاب شناور نشوم سخنت شعر است خاموشیت شعر و عشقت آذرخشی میان رگ هایم چونان سرنوشت نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:31 UTC≈1,440 viewsread 8 November 2026

دوستت دارم! تا آشوب و گل را در چشمانَت محافظت كنم! تا خماران را متقاعد كنم كه شَراب؛ از چشمانِ سياه مى گذرد، قبل از اين كه از انگور رد شود نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:31 UTC≈1,220 viewsread 8 November 2026

من به دلیلی دیوانه‌ام تو بی‌دلیل عاقلی. صلاح حسن https://t.me/NAZAR_QABANY

6 Nov 2026, 18:22 UTC≈1,090 viewsread 8 November 2026

می خواهم از تو دور شوم، مَرا همراهی می کنی؟ نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:21 UTC≈1,030 viewsread 8 November 2026

قول دادم ۱۱ بهت قول دادم که در طول سال با تو عشقبازی نکنم و صورتم را زیر جنگل موهایت پنهان نسازم و در ساحل چشمانت به شکار صدف نروم چگونه من چنین حرف سخیفی بر زبان رانده‌ام؟ در حالیکه چشمان تو منزل من و سرزمین صلح است و چگونه به خودم اجازه دادم احساسات مرمر را جریحه دار کنم؟ در حالیکه میانمن و تو نان و نمک و پیاله‌ی شراب و آواز کبوتر بوده‌ است؟ و در حالیکه تو آغاز هرچیز و پایان شیرین هرچیزی هستی نزار قبانی https:/…

6 Nov 2026, 18:21 UTC919 viewsread 8 November 2026

قول دادم ۱۰ بهت قول دادم مثل دیوانه‌ها بار دیگر دوستت نداشته باشم و همچون گنجشک به سمت درختان بلند سیبت یورش نبرم و هنگامی که به خواب رفته‌ای موهایت را شانه نکنم ای گربه‌ی گران‌بهای من بهت قول دادم که اگر همچون یک ستاره‌ی پا برهنه بر من فرود آمدی، بقیه‌ی عمرم را با تو هدر ندهم بهت وعده دادم جنون سرکشم را افسار کنم و اما بسیار خوشبختم که من همچنان به گونه‌ای شدیدا افراطی عاشقتم کاملا مثل بار اول نزار قبانی https://…

6 Nov 2026, 18:21 UTC837 viewsread 8 November 2026

قول دادم ۹ بهت قول دادم که تا پنج دقیقه‌ی دیگر اینجا نباشم اما کجا بروم؟ خیابان‌ها خیس باران‌اند به کجا وارد شوم؟ کافه‌ها پر از دلتنگی‌اند تنها به دریا بزنم؟ در حالی که دریا و قلعه و سفر تویی اجازه هست تنها ده دقیقه‌ی دیگر، تا بند آمدن باران پیشت بمانم؟ مطمئن باش بعد از صاف شدن آسمان و آرام شدن بادها خواهم رفت و اگر هم نشد به عنوان مهمان تا صبح پیش تو خواهم ماند نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:21 UTC734 viewsread 8 November 2026

قول دادم ۸ قول دادم چشمانت را از دفتر خاطراتم پاک کنم اما نمی‌‌دانستم با این کار زندگی‌ام را از صحنه‌ی وجود پاک خواهم کرد و نمی‌دانستم -با وجود اختلاف کوچکمان- تو منی و من توام بهت قول دادم که دوستت نداشته باشم وااای چه حماقتی با خودم چه کار کردم؟ من از شدت صداقت دروغ می‌گفتم و خدا را شکر که دروغ گفتم نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:21 UTC780 viewsread 8 November 2026

قول دادم ۷ بهت قول دادم فورا تمامش کنم اما وقتی دیدم قطره‌های اشک از چشمانت فرو می‌غلتند دستپاچه شدم و آنگاه که چمدان‌ها را روی زمین دیدم فهمیدم که تو به این سادگی‌ها قابل کشتن نیستی تو وطنی تو قبیله‌ای تو قصیده‌ای پیش از سروده شدن تو دفتری تو راه و مسیری تو کودکی هستی تو ترانه‌ی ترانه‌هایی تو ساز و آوازی تو درخشنده‌ای تو پیامبری نزار قبانی https://t.me/NAZAR_QABANY

6 Nov 2026, 18:21 UTC817 viewsread 8 November 2026

قول دادم ۶ قول دادم که پنجاه بار تو را ذبح کنم اما وقتی پیراهن آغشته به خونم را دیدم مطمئن شدم که خودم ذبح شدم مرا جدی نگیر وقتی عصبانی می‌شوم.. وقتی از کوره در می‌روم.. وقتی آتش می‌گیرم.. وقتی خاموش می‌شوم من از شدت صداقت دروغ می‌گفتم و خدا را شکر که دروغ گفتم نزار قبانی https://t.me/NAZAR_QABANY

Showing the 12 most recent of 90 posts we hold for @NAZAR_QABANY. 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.

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.

نزار قبانی
@nizar_qabbani2 · 5,553
#1
محمود درویش
@darvishiat · 4,948
#2
شعر زنانه
@sherezananeh · 2,233
#3
غاده السمان
@ghadatassamman · 2,616
#4
عاشقانه های نزار قبانی
@nezar_asheghaneha · 4,892
#5
دخترِ قَجَری
@honeybarzegar_life · 328 (as read 30 September 2026)
#6
سعید هلیچی
@heleichi_saeed · 15,509
#7
محمود درویش
@mahmoud_darvish · 1,682
#8
جهل ممنوع
@jahlmamnue · 668
#9
آن؛
@monadchannel · 52,572
#10
عاشقانه‌های غاده السمان💫
@ghadesaman · 1,353
#11
ری_را
@ree_gram · 7,307
#12
han🧑🏼‍🩰🫧
@hanaless · 248 (as read 30 September 2026)
#13
Almenhaj.com (المنهاج)
@almenhaj · 1,485
#14
اشعار کاوه جبران
@jebran12 · 564 (as read 30 September 2026)
#15
ax.ehsasi💕
@axehsasiiii · 1,062
#16
سيد تقى سيدى
@seyedtaghiseyedi · 21,068
#17
غزل شاه‌بیت
@ghazal_shahbeyt · 4,606
#18
جهان شعر و ترجمه
@jahan_tarjome · 8,203
#19
الحَنیٖـــــن
@el_hanine_ch · 6,032
#20
شاعران جهان
@world_poets · 10,085
#21
🌌 حضور 🌌
@KnIUmA1MDA0 · 1,446
#22
آوار - آیدا سیدی
@Valdivian · 6,460
#23
محمود درویش
@darwish_fb · 15,423
#24
کاظم بهمنی
@kazem_bahmani · 6,732
#25
دنیای نامه‌ها
@letterssto · 17,741
#26
عبدالله
@abdollah1400 · 4,659
#27
باغِ اَنار
@bagheanar · 8,899
#28
🔸فروغ_فرخزاد🔸
@foroghfarokhzad · 45,048
#29
شعر و ادبیات چامه
@chaame · 54,603
#30
عباس معروفی
@maroufiabbas · 8,586
#31
صدغیها (شعر و ادبیات عربی)
@sodqaihaa · 8,702
#32
در من زنی متولد شده است..
@mehrzan · 4,481
#33
خسرو شکیبایی
@KhoosroShakibae · 4,358
#34
نُهــىٰ
@Nohartchannel · 1,941
#35
⸙ ◉ √ نیم بیت ‏√ ⸙ ‏◎
@nimbeytchanel · 5,979
#36
احساسات
@OfficialEhsasat · 16,492
#37
شعر خوب بخوانیم
@yomolh · 4,585
#38
ماه مست
@Drunk_Moon_1 · 13,288
#39
| فروغ_ شاملو |
@foroogh_shamloo · 51,366
#40
عشقه ‌🎒
@ashaqeh · 8,334
#41
شغاف؛
@poetforday · 13,053
#42
کارگاه خیال
@azrajavanmardi · 1,719
#43
❏ روزی یک بیت شعر
@YekBeity · 6,466
#44
اشعار صائب تبریزی
@saeb_org · 14,277
#45
مشاعره
@mo_shaere · 6,919
#46
شعر و متون عربی معاصر
@sherarabimoaser · 13,232
#47
ونوس هستم، ترانه سرا🤍
@iamvenoos · 2,344
#48
کانال آزاد اندیشی
@AZADANDISHI93 · 3,053
#49
𝑫𝑶𝒁𝑯𝑨𝑴
@D0zhvm · 291 (as read 30 September 2026)
#50
•| #نرگس_صرافیان_طوفان |•
@narges_sarrafian_toofan · 163,418
#51
سیمرغ ما
@siemogh_ma · 546
#52
اوهـآم
@ohamchannel · 423 (as read 30 September 2026)
#53
Passenger | مُسافر
@Passenger_77 · 2,510
#54
Saeed Himself.
@SaeedHimself · 344 (as read 30 September 2026)
#55
『ғ σ ʀ ɢ ᴇ ᴛ』-♡
@x_forget · 573 (as read 30 September 2026)
#56
آصف گنجی(نویسنده)
@AcefNevis · 1,270
#57
نامه به فلیسه
@letters_to_felice · 1,707
#58
هم رویش
@hamruyesh · 693
#59
بریده کتاب
@BoridehKetab_com · 2,501
#60
|پناه|
@linkpanah · 1,202
#61
حجم سپید
@hajmesepid · 821 (as read 30 September 2026)
#62
مورفین
@morfinmood · 1,494
#63
مجله‌ ادبی-هنری کلمات
@kalamaatmag · 1,957
#64
#ای_ایران ‘’پُر تْلَنْد’’🇮🇷
@por_tland · 1,146
#65
About MCh
@about_mch · 1,217
#66
خط‌نوشته‌ها | پویاجمشیدی
@JamshidiPouya · 2,196
#67
آرمان گرشاسبی آوا
@armangarshasbiavaa · 8,172
#68
تحلیل شیمی
@shimimahmodim · 2,474
#69
کتاب فرصت
@forsatbook · 7,683
#70
کانال دکتر سوگل مشایخی
@sugol_mashayekhi · 6,017
#71
Myindustry|مدیریت و بازاریابی
@myindustry · 3,441
#72
هۆدەی هەڵبەست
@hoday_sher · 3,577
#73
لیلا کردبچه
@leila_kordbacheh · 2,826
#74
شمسِ جان | شعر و عرفان
@ShamsSpirit · 5,826
#75
بیاض | عاطفه طیّه
@atefeh_tayyeh · 3,650
#76
استادیار شیمی
@ostadyarchem · 3,240
#77
کتابخانه صوتی چوبک داستان و رمان صوتی آموزش نویسندگی مقالات صوتی
@ChoobakSotiKetabkhane · 3,726
#78
irrealis
@irrrealis · 749
#79
Mirror 1975 (Russian: Зеркало)
@yyyaaa1975 · 304
#80
سازمان سینمایی سوره
@soureh_cinema · 4,106
#81
اتاق بازرگانی کرمانشاه
@krccima · 2,837
#82
مدرسه
@madrasefalsafe · 6,085
#83
🌍📚 باشگاه علوم انسانی 📚🌎
@sociologycenter · 4,069
#84
انجمن علمی سینما | دانشگاه هنر
@anjomancinema · 2,463
#85
تغییر و تحول سازمانی
@transformation_m · 4,699
#86
جزوه های استادان شیمی
@chemjozveh · 7,508
#87
موسسهٔ نیمروز Nimruz Institute
@nimruz_ir · 5,018
#88
نتیجه زبان آموزان دوره های استاد آرش نیا
@Nemone_Tadriss · 3,869
#89

Read from Telegram’s recommendation API, most recently 30 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.

[ جانان ... ]
@Official_JaNaN · 43,250
Telegram ranks this channel #27 of 72 here — alongside 71 others — read 28 August 2026
| فروغ_ شاملو |
@foroogh_shamloo · 51,366
Telegram ranks this channel #34 of 85 here — alongside 84 others — read 24 August 2026
شعر و ادبیات چامه
@chaame · 54,603
Telegram ranks this channel #42 of 94 here — alongside 93 others — read 23 August 2026
🔸فروغ_فرخزاد🔸
@foroghfarokhzad · 45,048
Telegram ranks this channel #43 of 91 here — alongside 90 others — read 27 August 2026
Radio Relax
@RadioRelax · 322,939
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 10 August 2026
•| #نرگس_صرافیان_طوفان |•
@narges_sarrafian_toofan · 163,418
Telegram ranks this channel #71 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 6 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“نزار قبانی” (@NAZAR_QABANY), 19,769 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/NAZAR_QABANY.

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.