8 measurements spanning 17 days, net -8. 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 4,149–4,166 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Aug 2026, 03:56
4,156
+5
20 Aug 2026, 16:05
4,151
-1
17 Aug 2026, 11:16
4,152
-1
13 Aug 2026, 15:46
4,153
-4
10 Aug 2026, 06:54
4,157
-6
7 Aug 2026, 03:25
4,163
-1
6 Aug 2026, 17:16
4,164
no change
6 Aug 2026, 16:59
4,164
first reading
Engagement
22 posts held, back to 16 May 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.40%
avg views ÷ 4,156 subscribers
Avg views / post
142
4 posts measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
4
of 22 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 1 of 4 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 8 August 2026
Posts held
22 (16 May 2026 – 8 August 2026)
Views total
566
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 12:15 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
8m 53s
Average length
4m 27s
Measured directly from 2 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
15 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 73.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11
73.3%
🔥
2
13.3%
👍
1
6.67%
🥰
1
6.67%
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 7 of the 22 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 16 May 2026 to 8 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.
این راهنما بهتازگی به دانشگاهها ارسال شده است. در حال مطالعهٔ آن هستم و نکاتی که جلب توجه میکند را بهاختصار مطرح میکنم.
اولین نکته این است که هیچ منبع یا مستندی در آن ذکر نشده؛ موضوعی که بسیار عجیب است، زیرا تدوین چنین راهنمایی بدون بررسی نمونههای معتبر و منابع تخصصی، اصولی و قابلاتکا نخواهد بود.
نکتهٔ دوم اینکه اسامی ذکرشده بهعنوان تدوینکنندگان، عمدتاً از متخصصان حوزهٔ علم اطلاعات و مدیریت داده نیستند و…
📘راهنمای استناد به محتوای تولید شده توسط هوش مصنوعی (سبک APA)
🔹 اگر در مقالات، پایاننامهها یا پژوهشهای خود از ابزارهای هوش مصنوعی مانند ChatGPT، DALL-E و سایر مدلهای زبانی یا تصویری استفاده میکنید، لازم است نحوه استناد صحیح به این منابع را بدانید. این راهنما که توسط کتابخانه مرکزی دانشگاه خوارزمی تهیه شده، به شما نشان میدهد چگونه محتوای تولید شده توسط هوش مصنوعی را طبق استانداردهای APA به درستی درون متن و در ف…
🔰آیا روزمه پژوهشی قوی برای چاپ مقالات بعدی تاثیرگذار است؟
منظور از رزومه پژوهشی فعالیتهای پژوهشی و مقالاتی است که یک فرد در طول سالیان قبل کار کرده است. بسیاری از مجلات رزومه پژوهشی افرادی که برای پذیرش و چاپ مقاله خود به آنها مراجعه نمودهاند را بررسی میکنند. بررسی رزومه پژوهشی برای ادیتورهای مجلات کار آسانی است. کافی است نام یا ایمیل مولف یا مولفان مقاله را در پایگاههای مختلف علمی همانند گوگل اسکولار جستجو نما…
🔹 چطور در چند دقیقه دقیقه، برترین مجلات هر رشته رو پیدا کنیم؟
ــــــــــــــــــــــــــــــــــــــــــــــــــــ
شاخص SJR (SCImago Journal Rank) یک معیار برای ارزیابی کیفیت و تاثیر علمی مجلات است. این شاخص به طور همزمان تعداد استنادات به مقالات یک مجله و اعتبار مقالات استناد دهنده را ارزیابی میکند.
کاربردهای SJR
• انتخاب مجله مناسب: کمک به محققان برای انتخاب مجلات با کیفیت برای انتشار مقالات
• ارزیابی کیفیت مج…
Storm
🌀 سامانهای هوش مصنوعی است که توسط دانشگاه استنفورد توسعه یافته و با هدف تسهیل فرآیند تحقیق و تولید محتوای علمی طراحی شده است.
⭕ این سامانه با استفاده از مدلهای زبانی پیشرفته و جستجوی اینترنتی، مقالاتی ساختارمند و مشابه ویکیپدیا را بر اساس موضوعات مورد نظر کاربران تولید میکند.
ورود به Storm AI
https://storm.genie.stanford.edu/
🔵 استورم ابزاری قدرتمند در اختیار پژوهشگران، دانشجویان و نویسندگان است که با خو…
Mapify
⭕ یک هوش مصنوعی است که باخلاصه کردن یک کتاب یا مقاله در چند دقیقه، زمینه مطالعه آسان حجم عظیمی از منابع را فراهم می کند.
Mapify.so
✅ با دادن یک فایل به هوش مصنوعی مپیفای، درخت محتوا و نقشه ذهنی آن را به دست آورید!
🎓 مرجع مقاله و پایان نامه نویسی 👇
🆑 @RAWESH_T
SCiNiTO
یک پلتفرم پیشرفتهی هوش مصنوعی در حوزهی پژوهشهای علمی است که با بهرهگیری از پایگاه دادهی OpenAlex، دسترسی به بیش از ۲۶۰ میلیون مقالهی علمی را فراهم میکند.
✅ این سامانه ابزارهایی مانند جستجوی هوشمند، گفتوگوی تعاملی با هوش مصنوعی، پیشنهادگر مجلات برای انتشار مقالات و بازبین هوشمند مقالات را ارائه میدهد.
ورود به SCiNiTO:
https://www.scinito.ai/
⭕ این هوش مصنوعی با ارائهی یک تجربهی پژوهشی یکپارچه، به…
✨تبدیل گفتار به متن با PS Speech & Translation در ورد! 🗣️📝
افزونه PS Speech & Translation برای ورد فوقالعادهست! 😍
- توی ورد در سربرگ Home، گزینه Add-ins رو بزن. (اینترنت وصل باشه!)🌐
- توی کادر جستجو بنویسPS Speech و افزونه رو پیدا کن. 🔍
- روی Add بزن تا نصب شه. ✅
بعدش از بخش Add-ins در ورد توی سربرگ Home در دسترسه با صحبت کردن متن بنویس یا ترجمه کن (فارسی هم ساپورت میشه!
🎓 مرجع مقاله و پایان نامه نویسی 👇
🆑 @
چند هوش مصنوعی و سایت حرفه ای برای ساخت نمودار، چارت و گراف برای مقالات:
GraphMaker
این ابزار هوش مصنوعی به شما امکان میدهد تا نمودارها و چارت های حرفه ای را در چند ثانیه ایجاد کنید. از انواع نمودارها مانند نمودارهای میله ای، پراکندگی، دایره ای، هیستوگرام و خطی پشتیبانی میکند.
Julius AI
این ابزار هوش مصنوعی به شما کمک میکند تا نمودارها و چارتهای شفاف و جذاب را به سرعت ایجاد کنید. از نمودارهای میله ای، خطی، هیستوگر…
♻️فیلم نکات مهم برای دفاع از پایاننامه
با آرزوی موفقیت برای همه دانشجویان و دانش پژوهان عزیز🌹
🎓 مرجع مقاله و پایان نامه نویسی 👇
🆑 @RAWESH_T
Showing the 12 most recent of 22 posts we hold for @Rawesh_T. 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 — 1,526,370 of 1,604,161entries 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.
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 24 August 2026 — this
entry's latest reading, not the date you are reading this.
“روش تحقیق و مقاله نویسی℡” (@Rawesh_T), 4,156 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/Rawesh_T.
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.