Real estate — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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
33 measurements spanning 44 days, net +66. 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 34,453–34,549 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, 16:58
34,538
+2
16 Sept 2026, 10:18
34,536
+5
14 Sept 2026, 17:56
34,531
+13
13 Sept 2026, 04:21
34,518
+16
11 Sept 2026, 04:19
34,502
+8
8 Sept 2026, 03:57
34,494
-5
4 Sept 2026, 21:56
34,499
+6
3 Sept 2026, 09:18
34,493
-3
2 Sept 2026, 01:41
34,496
-2
1 Sept 2026, 01:03
34,498
+6
30 Aug 2026, 21:04
34,492
+5
29 Aug 2026, 22:16
34,487
-1
28 Aug 2026, 21:18
34,488
+1
27 Aug 2026, 21:54
34,487
-1
26 Aug 2026, 23:54
34,488
+2
25 Aug 2026, 01:07
34,486
-4
23 Aug 2026, 16:18
34,490
-4
22 Aug 2026, 05:58
34,494
-3
20 Aug 2026, 18:45
34,497
+2
19 Aug 2026, 20:34
34,495
first reading
Engagement
153 posts held, back to 29 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.53%
avg views ÷ 34,538 subscribers
Avg views / post
2,600
62 posts measured
Reaction rate
0.32%
reactions ÷ views · ER floor
Posts in window
66
of 153 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 57 of 62 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 22 September 2026
Posts held
153 (29 July 2026 – 22 September 2026)
Views total
161,337
Reactions total
487
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 16:38 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
≈8,570
Videos
≈6,100
Links
≈5,510
Lifetime counters from Telegram’s own channel header, read 22 September 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.
Video runtime
1h 06m
Average length
57s
Measured directly from 70 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
1,365 reactions across 126 posts, in 30 distinct kinds. The most used accounts for 47.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
648
47.5%
❤
312
22.9%
👏
89
6.52%
🤣
44
3.22%
😱
40
2.93%
👎
39
2.86%
😁
27
1.98%
👌
22
1.61%
💔
18
1.32%
🤯
15
1.10%
🔥
14
1.03%
😢
13
0.952%
🤬
12
0.879%
🤔
11
0.806%
💩
10
0.733%
🙏
8
0.586%
🤡
7
0.513%
🥴
7
0.513%
🐳
5
0.366%
😐
4
0.293%
10 further kinds
20
1.47%
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 130 of the 153 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 1,388 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 153 most recent posts we hold, published 29 July 2026 to 22 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.
این فقط یک کلاس تئوری نیست؛
یک قدم به سمت معمار شدن است.
در آتلیهی پردیس هنرهای زیبای دانشگاه تهران قرار است
✏️ پلان طراحی کنی
📐 کرکسیون کنی
🏗️ با پروژههای واقعی آشنا شی
📚 ضوابط و فرآیندهای حرفهای را یاد بگیری
و برای بازارکار و آزمون طراحی نظام مهندسی آماده شی.
@ut.karamoozeng.exam
حالا انتخاب با توست؛
یادگیری واقعی یا چرخیدن بین اطلاعات پراکندهی و اشتباهِ اکسپلور؟
اطلاع از شرایط برگزاری و سرفصل های آموزشی
دور…
خزر همچنان درحال عقب نشینی است
معاون محیط زیست دریایی سازمان حفاظت محیط زیست:
🔹️ کاهش تراز آب خزر از حدود ۲۰ سانتیمتر در سال در فاصله ۲۰۲۰ تا ۲۰۲۵ به حدود ۲۳ سانتیمتر در سال ۲۰۲۶ رسیده است.
🔹️ تغییر اقلیم، مهمترین عامل کاهش تراز آب خزر است./تسنیم
@mihansazan
کانال اعضای نظام مهندسی ساختمان
تمیز کردن با لیزر، روش حذف زنگ و آلودگیهای سطحی از فلز را تغییر میدهد. 🔥⚙️
به جای سنگزنی، سندبلاست یا استفاده از مواد شیمیایی قوی، یک لیزر پرقدرت میتواند زنگ، رنگ، لایههای اکسید و آلودگی را به طور دقیق از سطح فلز پاک کند - بدون اینکه به ماده پایه آسیبی برساند.
انرژی لیزر لایه ناخواسته را هدف قرار میدهد، آن را به سرعت گرم میکند و از سطح جدا میکند و فلز تمیزتر زیر آن را آشکار میکند. این امر تمیز کردن با لیزر…
نحوه عملکرد بتن تحت تأثیر ۵ نیروی مختلف 🏗️
ببینید بتن در برابر نیروهای کشش، فشار، خمش، برش و پیچش چگونه واکنش نشان میدهد؛ همه اینها تنها در ۱۰ ثانیه.
بتن در برابر فشار مقاوم است اما در برابر کشش ضعف دارد. دقت کنید که در هر حالت، اولین ترک در کجا ظاهر میشود.
@mihansazan
کانال اعضای نظام مهندسی ساختمان
احتمال بارشهای سیلآسا در تهران
رئیس سازمان مدیریت بحران تهران :
🔹امسال پدیده ال نینو و احتمالا بارشهای سیل آسا خواهیم داشت.
🔹تمام مراکز مهم شهر مثل بیمارستانها که در معرض سیل هستند را شناسایی کردهایم.
🔹نقشه پهنه بندی خطر سیل تهیه شده و برنامه سیل تهران در حال تدوین و نهایی شدن است.
🔹 لایروبی کانالها و رودخانهها و مسیرها در حال انجام است. /ایسنا
@mihansazan
کانال اعضای نظام مهندسی ساختمان
🎯 مسیر تو برای ورود حرفهایتر به بازار کار (ELEVATE)
برای دانشجویان معماری و عمرانی: فراتر از دانشگاه با یادگیری مهارتهای کاربردی، پروژه واقعی و ساخت نمونهکار. 📂
کمپین پاییزه: ۲۰٪ تخفیف بر روی دورههای آنلاین، آفلاین و حضوری. 🍂
فرم را تکمیل کنید تا دورههای مناسب و تخفیف را دریافت نمایید.👇
http://b2n.ir/elevate
🚨 تخفیف ویژه کتب نظام مهندسی تاسیسات مکانیکی + لیبل و چارت رایگان 🚨
پک کامل کتب نظام مهندسی تاسیسات مکانیکی شامل:
🔹 مباحث ۲ / ۳ / ۱۲ / ۱۴ / ۱۵ / ۱۶ / ۱۷ / ۱۹ / ۲۰ / ۲۱ / ۲۲
🔹 قانون نظام مهندسی و کنترل ساختمان + تصویبنامه
🔹 نظامنامه رفتار حرفهای اخلاقی
🔹 نشریه ۱۲۸ (جلد ۶) بخش اول و دوم
🔹 فهرست بهای تاسیسات مکانیکی
قیمت اصلی: ❌ ۶/۳۷۰/۰۰۰ تومان
با تخفیف ویژه: ✅ فقط ۴/۹۵۰/۰۰۰ تومان
🎁 با خرید این پکیج، موارد ز…
📢 مشارکتکنندگان محترم نمایشگاه تأسیسات
در راستای حمایت از اطلاعرسانی و معرفی هرچه گستردهتر نمایشگاه، از شما دعوت میشود پوستر موشن نمایشگاه تأسیسات را در استوری صفحه کاری خود منتشر کرده و صفحه رسمی نمایشگاه را نیز تگ نمایید.
✨ استوری شما پس از انتشار، توسط پیج رسمی نمایشگاه تأسیسات بازنشر (Add Story) خواهد شد.
🔍پیج رسمی نمایشگاه تاسیسات در اینستاگرام: https://www.instagram.com/ihe_iranhvac_exhibition/
از همرا…
❤2
Showing the 12 most recent of 153 posts we hold for @mihansazan. 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
@mihansazan edited 1 post 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
21 August 2026
Most recent edit
21 August 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 3 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.
سازمان نظام مهندسی ساختمان استان تهران @tceopr · 26,666#1
نظام مهندسی ساختمان آذربایجان غربی @wanezamorg · 10,685#2
🔰 کانال صنفی : اطلاعرسانی و بازنشر نظام مهندسی ساختمان – اعضا بوکان. ویژه اعضای محترم سازمان نظام مهندسی ساختمان و فعالان حوزه @Nezam_mohandesisakhtemanboukan · 1,275#8
Read from Telegram’s recommendation API, most recently 3 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.
سازمان نظام مهندسی ساختمان استان تهران @tceopr · 26,666 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 12 September 2026
Civil Engineering @Best_Eng · 23,073 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 19 September 2026
ناظران و مجریان برتر @Fazee2 · 32,657 Telegram ranks this channel #19 of 69 here — alongside 68 others — read 5 September 2026
راهسازی @Rahsazi · 29,663 Telegram ranks this channel #30 of 81 here — alongside 80 others — read 8 September 2026
قیمت سکه،طلا،ارز،بورس @gheymateseketala · 55,736 Telegram ranks this channel #31 of 48 here — alongside 47 others — read 23 August 2026
گروه مهندسی 2800 @Eng2800 · 61,700 Telegram ranks this channel #32 of 83 here — alongside 82 others — read 22 August 2026
کانال مهندسین عمران @civilx · 43,157 Telegram ranks this channel #36 of 81 here — alongside 80 others — read 28 August 2026
آزمون نظام مهندسي @Azmoon_Nezam7 · 37,811 Telegram ranks this channel #38 of 76 here — alongside 75 others — read 31 August 2026
کانال مهندسین عمران | سیویل اجرا @civilejra · 81,001 Telegram ranks this channel #51 of 82 here — alongside 81 others — read 21 August 2026
آزمون نظام مهندسی | کارشناسی رسمی @civil_nezam_azmoon · 45,929 Telegram ranks this channel #58 of 77 here — alongside 76 others — read 27 August 2026
مقررات ملی ساختمان @Building_Regulation · 22,006 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 22 September 2026
Luminous.english @english_prism · 39,274 Telegram ranks this channel #65 of 80 here — alongside 79 others — read 30 August 2026
آزمونک نظام مهندسی @azmoonak_nezam · 25,097 Telegram ranks this channel #72 of 81 here — alongside 80 others — read 14 September 2026
This channel appears in 13 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“اعضاء نظام مهندسی ساختمان” (@mihansazan), 34,538 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/mihansazan.
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.