Ecommerce storefront — 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 66% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
58 measurements spanning 95 days, net +787. 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 16,843–17,910 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
9 Nov 2026, 00:09
17,786
-1
7 Nov 2026, 17:06
17,787
+1
6 Nov 2026, 19:30
17,786
+5
5 Nov 2026, 15:36
17,781
+4
4 Nov 2026, 13:58
17,777
+15
3 Nov 2026, 13:39
17,762
+7
2 Nov 2026, 13:48
17,755
+14
1 Nov 2026, 11:59
17,741
+12
31 Oct 2026, 13:36
17,729
+2
30 Oct 2026, 14:19
17,727
-3
28 Oct 2026, 16:01
17,730
+9
27 Oct 2026, 14:40
17,721
+6
26 Oct 2026, 16:17
17,715
+3
25 Oct 2026, 16:56
17,712
+6
24 Oct 2026, 14:45
17,706
+11
23 Oct 2026, 12:09
17,695
-2
22 Oct 2026, 10:50
17,697
+5
21 Oct 2026, 06:20
17,692
+6
20 Oct 2026, 01:11
17,686
+6
19 Oct 2026, 03:06
17,680
first reading
Engagement
66 posts held, back to 1 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.7%
avg views ÷ 17,786 subscribers
Avg views / post
6,710
7 posts measured
Reaction rate
0.413%
reactions ÷ views · ER floor
Posts in window
8
of 66 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 19 October 2026
Posts held
66 (1 August 2026 – 19 October 2026)
Views total
46,940
Reactions total
194
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 16:18 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
1h 35m
Average length
10m 36s
Measured directly from 9 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
1,604 reactions across 62 posts, in 7 distinct kinds. The most used accounts for 62.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
1,007
62.8%
❤
427
26.6%
😁
81
5.05%
👍
67
4.18%
👏
14
0.873%
🔥
6
0.374%
🤩
2
0.125%
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 63 of the 66 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 1,629 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 1 August 2026 to 19 October 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 8 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).
#معرفی_کتاب_بازنشستگان
#کتاب_باز
فرهنگ، مدرسهای که زندگی شد
پدیدآور: علی تفکری (1355-تهران)
بازنشسته سازمان آموزش و پرورش
دکترای ادبیات فارسی
📕قطع کتاب: رقعی
تعداد صفحات: 189 صفحه
ناشر: انتشارات تیک
زبان کتاب: فارسی
نوبت و سال چاپ: اول-1405
🔹 این کتاب روایت تلاشها و تجربه ها توسط معلمی است که با بیش از دو دهه تجربه ،معلمی در دهه سوم سابقه حرفه ای خود در جایگاه مدیر مدرسه فرهنگ در زمره مدارس علوم انسانی آموزش و …
⚡پس از دو دهه پرونده اراضی حکیمیه مختومه شد؛
تثبیت مالکیت بازنشستگان کشوری بر دارایی ۲۰ همتی
🔹در چارچوب برنامههای کلان صندوق بازنشستگی کشوری در حوزه حقوقی و همسو با برنامههای ابلاغی و تأکیدات مدیرعامل هلدینگ آتیه صبا بر احقاق حقوق بازنشستگان و صیانت از داراییهای آنان، پیگیریهای مستمر تیمهای حقوقی صندوق بازنشستگی کشوری، هلدینگ آتیه صبا و شرکت صنایع شیر ایران در پرونده اراضی ۱۵ هکتاری حکیمیه تهران، به صدور رأی ق…
⭕️ محسنی بندپی:
▪️«احمد میدری» بر اصلاح ساختارها و پایبندی به اصول مدیریتی تأکید دارد
▪️ انضباط اداری، شفافیت و انتخاب مدیران شایسته، پیشنیاز اصلاح نظام اقتصادی صندوقهاست
🔰 معاون امور مجلس، حقوقی و استانهای وزارت تعاون، کار و رفاه اجتماعی با تأکید بر ضرورت پیوند انضباط اداری و مالی در مدیریت بنگاههای اقتصادی گفت: اصلاح نظام حکمرانی صندوقهای بازنشستگی مستلزم استقرار نظام شایستهسالاری، شفافیت اطلاعات، ارزیابی عم…
⚡مدیرعامل صندوق بازنشستگی کشوری در نشست ابلاغ دستورالعمل و چارچوب بودجه ۱۴۰۶ تأکید کرد:
بودجهریزی شرکتهای تابعه باید به ابزار اصلاح حکمرانی و صیانت از دارایی بازنشستگان تبدیل شود
🔹 چارچوب بودجه ۱۴۰۶ باید فراتر از محاسبه منابع و مصارف، به ابزاری برای اصلاح سیاستگذاری، مدیریت ریسک، ارزیابی عملکرد شرکتها و پاسخگویی مدیران تبدیل شود تا ضمن ارتقای انضباط مالی، زمینه صیانت مؤثرتر از داراییهای بازنشستگان فراهم شود.
…
📸 نشست تبیین و ابلاغ دستورالعمل و چارچوب بودجهریزی سال ۱۴۰۶ هلدینگها و شرکتهای تابعه صندوق بازنشستگی کشوری
🔹این نشست، با حضور محمدعلی بندپی، معاون حقوقی، مجلس و استانهای وزارت تعاون، کار و رفاه اجتماعی، علاءالدین ازوجی، مدیرعامل صندوق بازنشستگی کشوری، عضو هیات مدیره، معاونان و مدیران صندوق بازنشستگی و جمعی از اعضای هیئتمدیره و مدیران عامل هلدینگها و شرکتهای تابعه برگزار شد.
🔸 در این نشست، بر ضرورت ارتقای انض…
⚡موسوینیک در نشست ابلاغ دستورالعمل و چارچوب بودجه ۱۴۰۶ هلدینگها و شرکتهای صندوق بازنشستگی کشوری:
بودجهریزی شرکتهای تابعه صندوق باید از سودمحوری صرف به مدیریت جریان نقدی و عملکرد عملیاتی تغییر کند
🔹سرپرست معاونت سرمایهگذاری و برنامهریزی اقتصادی صندوق بازنشستگی کشوری با تأکید بر ضرورت استقرار نظام یکپارچه برنامهریزی و بودجهریزی در هلدینگها و شرکتهای تابعه گفت: بودجه باید تصویری شفاف از عملکرد عملیاتی، جریا…
📸 *تلاش برای احیای ناوگان هواپیمایی آسمان به روایت تصویر*
🔹 متخصصان و مهندسان شرکت هواپیمایی آسمان با تکیه بر دانش فنی، تجربه و توان تخصصی خود، در تلاشاند تا دو فروند هواپیمای ایرباس A320 را در روزهای دشوار صنعت هوانوردی کشور به چرخه پروازی بازگردانند.
🔸️ در پروژه احیای هواپیمای EP-APJ، پس از طی مراحل پیشبینیشده، موتور دوم به همراه هواپیما تحویل آشیانه جمهوری اسلامی ایران شده و پروژه وارد مرحله تازهای از فرایند…
🎉 *با عضویت در باشگاه پیشکسوتان دیلیمارکت از مزایای دائمی ویژه بازنشستگان کشوری بهرهمند شوید:*
✅️ اعتبار ۶ میلیون تومان
✅ بازپرداخت سهماهه و بدون کارمزد
✅ ۲۰٪ تخفیف محصولات میهن
✅ ۶٪ تخفیف مازاد خرید نقدی
🔻برای کسب اطلاعات بیشتر و عضویت در باشگاه پیشکسوتان دیلیمارکت کافیه روی لینک زیر کلیک کنید:
https://dailymarketstores.com/sc/
🎉 آغاز جشنواره «بازگشت به مدرسه» کفش ملی
🔹این جشنواره با هدف ایجاد پویایی در شبکه فروش، پاسخگویی به نیاز خانوادهها در آستانه آغاز سال تحصیلی جدید و فراهمسازی شرایط مناسب برای دسترسی دانشآموزان به کفشهایی راحت، باکیفیت و متناسب با فعالیتهای روزانه آنان طراحی و اجرا شده است.
🔸سید محمد جعفری و رئیس هیئتمدیره و مدیران کفش ملی با امضای پوستر یادبود جشنواره «بازگشت به مدرسه»، بر عزم مشترک مجموعه برای تحقق برنامهه…
⚡همزمان با هفته دولت انجام شد؛
طرح مطالبات و دغدغههای بازنشستگان اصفهان در دیدار با معاون توسعه مدیریت و منابع صندوق
🔹حشمتالله سلیمانی، معاون توسعه مدیریت و منابع صندوق بازنشستگی کشوری، همزمان با دومین روز هفته دولت و در پی درخواست کانونهای بازنشستگی استان اصفهان، با حضور در «خانه امید» این استان، در دیداری با رؤسای کانونهای بازنشستگی، بهصورت مستقیم در جریان مهمترین مطالبات و دغدغههای بازنشستگان قرار گرفت و …
⚡ تمدید مهلت ثبت درخواست انصراف و برقراری بیمه تکمیلی درمان تا ۱۲ شهریور
🔹 به منظور تداوم نظم اجرایی و حسن انجام امور و با هدف تسهیل فرآیندهای اجرایی، مهلت ثبت درخواستهای مرتبط با بیمه تکمیلی درمان دی برای بازنشستگان، از کارافتادگان و وظیفه بگیران تمدید شد.
🔸 دسترسی به سامانۀ ثبت درخواستهای بیمهای در وبسایت رسمی صندوق، تا پایان روز ۱۲ شهریورماه ۱۴۰۵ (در چارچوب سقف سهماه ابتدای قرارداد) برای عموم متقاضیان فعال…
😁5❤4
Showing the 12 most recent of 66 posts we hold for @bazneshaste_news. 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
@bazneshaste_news 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.
@sharifstaradmin named in 6 posts, 18 August 2026 – 4 September 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.
آذرالسلطنه @mahisefatazar · 22,306 Telegram ranks this channel #27 of 64 here — alongside 63 others — read 20 September 2026
نسیم چایپاره @nasim_Chaypare · 18,098 Telegram ranks this channel #54 of 71 here — alongside 70 others — read 1 October 2026
This channel appears in 2 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“صندوق بازنشستگی کشوری” (@bazneshaste_news), 17,786 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/bazneshaste_news.
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.