Telegram RegisterThe public register of Telegram

Channel

شارنامه

@Shaarnameh

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

2,651subscribers

+0 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001065056538
TypeChannel
Username@Shaarnameh
CreatedBetween 1 April 2016 and 30 April 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Shaarnameh

Growth

2,6512,6532,6525 August 2026 — 2,651 subscribers6 August 2026 — 2,651 subscribers8 August 2026 — 2,653 subscribers12 August 2026 — 2,651 subscribers5 August 202612 August 2026
4 measurements spanning 6 days. 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 2,651–2,653 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 00:052,651-2
8 Aug 2026, 23:512,653+2
6 Aug 2026, 05:192,651no change
5 Aug 2026, 23:462,651first reading

Engagement

23 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.7%
avg views ÷ 2,651 subscribers
Avg views / post
364
15 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
15
of 23 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 10 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held23 (19 June 20267 August 2026)
Views total5,453
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 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 14m
Average length
14m 58s

Measured directly from 5 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

16 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1275.0%
👍318.8%
👌16.25%

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 16 of the 23 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 19 June 2026 to 7 August 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

7 Aug 2026, 15:57 UTC22 views1 reactionsread 7 August 2026
File

📚 عنوان: کتاب آموزش مکس‌کیودا (MAXQDA) عنوان اصلی: Analyzing Qualitative Data with MAXQDA نویسندگان: یودو کاکارتز و استیفن رادیکر ناشر: اسپرینگر محتوا: تمام متن ۳۰۰ صفحه فرمت فایل: PDF زبان: انگلیسی #MAXQDA ___ 🌐 کانال مدل‌ها و تکنیک‌ها در مطالعات شهری 🆔 @modelinggeo

1

Signed shaarnameh

6 Aug 2026, 18:18 UTC93 viewsread 7 August 2026

🌀 خدمات تخصصی کانال : 👇👇👇 👨‍🎓 انجام و تحلیل پروژه های نرم افزاری : 📊 SPSS, AMOS, lisrel, MATLAB (SIMULINK), smart pls, Eviews, excel, R, MINITAB, GAMS, Super Decisions, DEA solver, EXPERT CHOICE, micmac, ScenarioWizard ... 🔸روش های تحلیل آماری : 📊 (FUZZY) AHP, (FUZZY) ANP, (FUZZY) TOPSIS, (FUZZY) DEA, (FUZZY) ELECTRE, (FUZZY) VIKOR, (FUZZY) SAW, (FUZZY) DEMATEL, (FUZZY) MCDM, ISM, Meta SWOT, Gry, MABAC, COPRAS, SWA

Signed shaarnameh

6 Aug 2026, 05:57 UTC224 views1 reactionsread 7 August 2026

✅ معرفی سایت‌های دانلود مقاله با DOI 🔸برای دانلود مقالات با doi یا آدرس مجله می‌تونید از سایت‌های زیر استفاده کنید: با توجه به شرایط مختلف ممکن است برخی از سایت‌ها در بازه‌های زمانی خاصی باز نشوند. لذا می‌توانید از لینک دیگری به منزله جایگزین استفاده کنید. https://paperdownloader.com/ https://paperhub.ir/ https://sci.hubg.org/ https://sci-hub.ee https://sci-hub.es.ht https://sci-hub.is https://sci-hub.it.nf https:/

1

Signed shaarnameh

3 Aug 2026, 16:30 UTC197 viewsread 7 August 2026
Video

🎥 آموزش Python در GIS در این ویدیو ادامه مسیر GIS + Python + هوش مصنوعی را می‌بینیم: 📌 جلسه پنجم #آموزش #پایتون #Arc_GIS #Python ___ 🌐 کانال مدل ها و تکنیک ها در مطالعات شهری 🆔 @modelinggeo

Signed shaarnameh

31 Jul 2026, 14:49 UTC614 views1 reactionsread 7 August 2026

⚖️ اطلاعیه مهم آزمون‌های کارشناس رسمی دادگستری ۱۴۰۵ 🔹 کارشناس رسمی ماده ۲۷ 🗓 ثبت‌نام: ۷ تا ۱۳ مرداد ۱۴۰۵ 🗓 برگزاری آزمون: ۱ آبان ۱۴۰۵ 🔹 کارشناس رسمی دادگستری (کانون) 🗓 ثبت‌نام: نیمه اول مهر ۱۴۰۵ 🗓 برگزاری آزمون: ۲۲ آبان ۱۴۰۵ 🔹 کارشناس رسمی دادگستری (قوه قضاییه) 🗓 ثبت‌نام: نیمه اول آبان ۱۴۰۵ 🗓 برگزاری آزمون: ۲۰ آذر ۱۴۰۵ ____ 🌐 کانال شارنامه 🆔 @shaarnameh

👌1

Signed shaarnameh

30 Jul 2026, 07:57 UTC533 views1 reactionsread 7 August 2026

Postdoctoral Position: Coupled Transport-Energy Modeling 🏛 دانشگاه: Chalmers University of Technology 🌍 کشور: سوئد 👤 سوپروایزرها: Associate Professor Kun Gao / Professor Sonia Yeh 🏢 دانشکده / لَب: Architecture and Civil Engineering / Environmental and Energy Science 🔬 حوزه پژوهش: مدل‌سازی حمل‌ونقل–انرژی، برقی‌سازی، زیرساخت شارژ و تعامل شبکه 🎯 محور کاربردی: توسعه مدل‌ها و بهینه‌سازی هماهنگی حمل‌ونقل برقی با ساما

1

Signed shaarnameh

30 Jul 2026, 07:57 UTC372 viewsread 7 August 2026

🎓 PhD Position: Sustainability, Cities and Planning 🏛 دانشگاه: Roskilde University 🌍 کشور: دانمارک 👤 سوپروایزرها: David Pinder / Tobias Pape Thomsen / Thomas Budde Christensen 🏢 دانشکده / لَب: Department of People and Technology / MOSPUS / TRANSITIONS 🔬 حوزه پژوهش: شهر پایدار، برنامه‌ریزی فضایی، تحرک، انرژی، اقتصاد چرخشی و حکمرانی 🎯 محور کاربردی: طراحی پروژه مستقل درباره هدایت گذارهای پایدار شهری و منطقه‌ای از

Signed shaarnameh

30 Jul 2026, 07:56 UTC186 viewsread 7 August 2026

✅ معرفی نرم‌افزار تخصصی Segregation Studio Pro 2.0.0 🏙 یک ابزار حرفه‌ای برای تحلیل جدایی‌گزینی اجتماعی، تمرکز فضایی، ناهمگنی شهری و شناسایی الگوهای آسیب‌پذیری در مقیاس بلوک‌های شهری اگر در حوزه‌های برنامه‌ریزی شهری، GIS، جغرافیای اجتماعی، عدالت فضایی یا تحلیل داده‌های سرشماری فعالیت می‌کنید، Segregation Studio Pro می‌تواند فرایند پیچیده محاسبه شاخص‌های فضایی و اجتماعی را به یک گردش‌کار منظم، کنترل‌شده و بازتولیدپذی

Signed shaarnameh

30 Jul 2026, 07:38 UTC261 views1 reactionsread 7 August 2026
Video

📹 روایت کوتاه دکتر حمیده چوبک، مدیر پایگاه میراث جهانی الموت از سی‌امین اثر جهانی ایران باشکوه👆 «قلعه الموت و استحکامات دفاعی وابسته #الموت ____ 🌐 کانال گردشگری خلاق 🆔 @creativetourism

1

Signed shaarnameh

28 Jul 2026, 19:14 UTC505 views1 reactionsread 7 August 2026

۲. مدل‌سازی اقلیم خردشهری برای تاب‌آوری در برابر گرمای شهری عنوان: PhD on Modeling the Cool City: Microclimate Solutions for Urban Heat Resilience دانشگاه: Wageningen University & Research – WUR کشور: هلند سوپروایزرها: Dr. Dragan Milošević و Dr. Gert-Jan Steeneveld گروه میزبان: Meteorology and Air Quality Group / Horizon Europe EUROASIS محور پژوهش: مدل‌سازی اقلیم خردشهری، مورفولوژی شهری، آسایش حرارتی و ارزیابی راهکار

1

Signed shaarnameh

21 Jul 2026, 09:51 UTC452 viewsread 7 August 2026
Photo

🔹مجله علمی Land Use and Sustainable Development وابسته به دانشگاه آزاد اسلامی واحد شیراز، با گرید وزارت علوم، تحقیقات و فناوری و کسب رتبه +A در ارزیابی سال 1404 دانشگاه آزاد اسلامی، آماده پذیرش و انتشار مقالات ارزشمند پژوهشگران در زمینه‌های آمایش سرزمین، برنامه‌ریزی توسعه محیطی، جغرافیا و برنامه‌ریزی شهری و روستایی، برنامه ریزی و توسعه منطقه‌ای، کاربری اراضی، توسعه پایدار، محیط‌زیست و سیاست‌گذاری توسعه سرزمین است.

Signed shaarnameh

18 Jul 2026, 16:54 UTC709 views3 reactionsread 7 August 2026
Photo

خانه آفرینش‌های شهری ایران برگزار می‌کند؛ سلسله گفت‌وگو و نشست‌های هفت‌شهر ▫️مروری بر تجارب بازآفرینی▫️ بازخوانی سابقه مرمت شهری در ایران سخنران: حمیدرضا سپهری در گفت‌وگو با فرامرز پارسی ۳۱ تیر ماه ۱۴۰۵_ از ساعت ۱۸:۳۰ الی ۲۰:۳۰ ◽️برای حضور در نشست از طریق لینک زیر اقدام نمایید. حضور در نشست تنها برای ثبت‌نام کنندگان امکان‌پذیر است. https://survey.porsline.ir/s/dHwjzg9M برای اطلاع از برنامه‌ها و رویدادهای آینده، م

👍21

Signed shaarnameh

Showing the 12 most recent of 23 posts we hold for @Shaarnameh. 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.

Citation-graph rank

Citation-graph rank — 293,941 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“شارنامه” (@Shaarnameh), 2,651 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Shaarnameh.

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.