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Channel

آدینه پژوهشی |‌‌ Friday Night Research

@FridayNightResearch

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

169subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003453365988
TypeChannel
Username@FridayNightResearch
CreatedBetween 1 November 2025 and 30 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/FridayNightResearch

Growth

169170169.56 August 2026 — 170 subscribers8 August 2026 — 170 subscribers14 August 2026 — 169 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net -1. 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 169–170 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:44169-1
8 Aug 2026, 15:01170no change
6 Aug 2026, 03:52170first reading

Engagement

20 posts held, back to 30 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
146.2%
avg views ÷ 169 subscribers
Avg views / post
247
2 posts measured
Reaction rate
6.88%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 3 August 2026
Posts held20 (30 December 20253 August 2026)
Views total494
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 15:01 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
15s
Average length
5s

Measured directly from 3 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

185 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 54.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10154.6%
4926.5%
❤‍🔥189.73%
🍓31.62%
👌31.62%
👎31.62%
🤓31.62%
👍21.08%
🌭10.541%
🍌10.541%
🤡10.541%

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 19 of the 20 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 185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 30 December 2025 to 3 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

3 Aug 2026, 15:52 UTC179 views17 reactionsread 8 August 2026
Photo

🌱 آدینه پژوهشی | فصل دوم | جلسه چهارم 👨‍🏫 آقای محراب جمشیدی | عیب‌یابی فضاپیما مبتنی بر هوش مصنوعی (Spacecraft AI-based Fault-Detection) 🎓 محراب دانش‌آموخته‌ی کارشناسی هوافضا از دانشگاه شریفه و به تازگی از رشته مهندسی هوانوردی (Aeronautical Engineering) دانشگاه پلی‌تکنیک میلان (🇮🇹) دانش‌آموخته شده. 👷‍♂️ در مهندسی فضایی یک پارادوکس جالب وجود داره: هرچی ماموریت‌ها موفق‌تر باشن، داده‌ی کمتری از خرابی فضاپیماها در دس

🔥17

24 Jul 2026, 12:03 UTC315 views17 reactionsread 8 August 2026
Photo

🌱 آدینه پژوهشی | فصل دوم | جلسه سوم 👨‍🏫 آقای مهدی امیری بستان‌آباد | رباتیک ِریسک آگاه (Risk-aware Robotics) 🎓 مهدی دانش‌آموخته‌ی کارشناسی هوافضا از دانشگاه شریفه و پذیرش ارشد رباتیک از دانشگاه میشیگان (🇺🇸)، ارشد مکانیک از جانز هاپکینز (🇺🇸) و دکتری مستقیم برق از دانشگاه مریلند (🇺🇸) رو داره. 👷‍♂️ رباتیک ریسک‌آگاه شاخه‌ای از رباتیکه که به ربات‌ها یاد می‌ده فقط به محتمل‌ترین نتیجه فکر نکنن، بلکه اتفاق‌های نادر اما پ

🔥17

10 Jul 2026, 19:37 UTC329 views8 reactionsread 8 August 2026
Photo

🌱 معرفیِ سمینار | خودمختاری قابل اعتماد و کارآمد مبتنی بر هوش مصنوعی 🔸 Reliable and Efficient AI-Enabled Autonomy 🎓 Autonomy Talks | MIT | 2025 👨‍🏫 نوید عزیزان ▫️کارشناسی مهندسی برق – دانشگاه صنعتی شریف (۲۰۱۳) ▫️کارشناسی ارشد مهندسی برق – دانشگاه کالیفرنیای جنوبی (۲۰۱۵) ▫️دکتری علوم محاسباتی و ریاضی – دانشگاه کلتک (۲۰۲۰) ▫️دوره پسادکتری – دانشگاه استنفورد (۲۰۲۱) 🔺 استادیار فعلی دانشگاه MIT 💡 تو این سمینار گفته

🔥8

3 Jul 2026, 19:36 UTC356 views6 reactionsread 8 August 2026
Photo

🔥 معرفی پژوهش | اپراتورهای عصبی برای کنترل (Neural Operators for Control) 🔹 به کنترل‌کننده می‌شه به چشم یک نگاشت از حالت‌ فعلی به فرمان کنترلی نگاه کرد. ولی یک نگاه جامع‌تر اینه: اپراتوری که مشخصات سامانه (دینامیک، تابع هزینه، یا پارامترهای آن) رو می‌گیره و یک تابع به‌عنوان کنترل‌کننده تحویل می‌ده. 🔹 اگه دینامیک سیستم پیچیده باشه (مثلا سیالاتی باشه) و یا با زمان تغییر کنه، این اپراتور هم پیچیده می‌شه. 💡 اینجاست که

🔥6

26 Jun 2026, 19:43 UTC344 views7 reactionsread 8 August 2026
Video

🔥 پیشنهاد پژوهشی | مدل‌های دیفیوژن در سیستم‌های هوافضایی 💡 جامعه هوافضا تو استفاده از هوش مصنوعی نسبت به جامعه رباتیک چند سالی عقب‌تره، و این یه فرصت برای پژوهشگران هوافضاست. 💡 یکی از محبوب‌ترین روش‌های این روزهای رباتیک، مدل‌های دیفیوژن (Diffusion Models) هستن. این مدل‌ها برخلاف یادگیری تقویتی که از صفر و با آزمون و خطا یاد می‌گیره، از روی یه دیتاست از جواب‌های قبلی یاد می‌گیرن و در مقایسه با یادگیری تقویتی مزیت‌ه

🔥7

19 Jun 2026, 20:27 UTC354 views6 reactionsread 8 August 2026
Photo

🔥معرفی مقاله | مدل‌های بنیادین در ربات‌های انسان‌نما (Foundation Model) 📄 GR00T N1: An Open Foundation Model for Generalist Humanoid Robots ✍️ NVIDIA (2025) 💡این مقاله از شرکت انویدیا، یک مدل بنیادین متن‌باز با نام GR00T N1 برای ربات‌های انسان‌نما ارائه داده. این سامانه، یک مدل بینایی-زبان-اقدامه (VLA) که بر مبنای داده‌های واقعی، شبیه‌سازی و داده‌های موجود در اینترنت آموزش داده شده. 💡مدل‌های بنیادین، همون فناوری پ

🔥5👍1

8 Jun 2026, 18:10 UTC430 views16 reactionsread 8 August 2026
Photo

🌱 آدینه پژوهشی | فصل اول | جلسه هشتم 🎓 طراحی و ساخت ماهواره کیوبیسا: پاکبان فضایی 👨‍🏫 توی این قسمت قراره که پارسا در مورد ماهواره‌ای که به کمک تیمشون طراحی کردن و ساختن برامون صحبت کنه. از مسابقه‌ای که توش شرکت کردن، کار تیمی، خرید تجهیزات و به‌طور کلی تجربه‌اش از زیست‌بوم فضایی ایران. همچین قراره در بخشی از جلسه یه نگاهی به اخبار اخیر حوزه فضایی بندازیم. 📅 زمان: جمعه‌ ۲۲ خرداد، ساعت ۱۶:۰۰ ⏱ مدت: ۱ ساعت 🔗 مکان: ht

13🌭1🍌1🍓1

5 Jun 2026, 19:56 UTC380 views4 reactionsread 8 August 2026
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🎬 معرفی مستند | شب بخیر اُپی 🎞 Good Night Oppy (2022) 🌱 مستندی جذاب، با روایت سرشار از شورِ دست‌اندرکاران پروژه‌ی کاوشگرهای مریخی Opportunity و Spirit. این مستند، صرفا روایت علمی انجام یک پروژه نیست، بلکه درامی سرشار از احساس است از دو کاوشگر، که در یادتان خواهد ماند. 🌱 در یکی از قسمت‌های فصل اول آدینه، درباره محدودیت‌های توان محاسباتی این کاوشگرها و الگوریتم‌هایی که برای فرود استفاده می‌کنند صحبت کرده بودیم.

3👍1

5 Jun 2026, 13:59 UTC305 views7 reactionsread 8 August 2026

درود به همه 🙋🏻 🌟 با توجه به نظر شما، گفت‌و‌گوهایی که با دوستانمون در خارج از کشور برنامه‌ریزی شده بود رو می‌ذاریم برای بعد از امتحانات که به فصل اپلای نزدیک‌تر باشه تا علاوه بر آشنایی با پژوهششون، اگر قصد اپلای دارید سوالاتتون رو ازشون بپرسید. 🌟 گفت‌و‌گوهای هفتگی رو هم با قسمت‌هایی که در فصل اول به دلیل قطعی اینترنت برگزار نشده بود، از هفته آینده ادامه می‌دیم.🥳

5🍓2

4 Jun 2026, 13:14 UTC307 viewsread 8 August 2026
Poll

سلام به همه، به نظرتون نشست‌های هفتگی رو...

  1. از همین هفته یا هفته آینده شروع کنیم.33%
  2. بذاریم برای بعد از امتحانات پایان‌ترم.67%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

29 May 2026, 19:54 UTC429 views17 reactionsread 8 August 2026
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🌱 معرفیِ سمینار | خودمختاری تعاملی (Interactive Autonomy) 🎓 Stanford Robotics Seminar ENGR319 | Spring 2026 👩‍🏫‌ خانم نگار مهر ▫️کارشناسی مهندسی مکانیک – دانشگاه صنعتی شریف (۲۰۱۳) ▫️دکتری مهندسی مکانیک – دانشگاه کالیفرنیا، برکلی (۲۰۱۹) ▫️پسادکتری هوانوردی و فضانوردی – دانشگاه استنفورد (۲۰۲۰) ▫️استادیار پیشین دانشکده مهندسی هوافضا – دانشگاه ایلینویز اربانا-شمپین (۲۰۲۳) 🔥استادیار فعلی دانشکده مهندسی مکانیک – دانشگاه

🔥7❤‍🔥6🤓31

23 Feb 2026, 17:30 UTC508 views17 reactionsread 8 August 2026
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🎉 آدینه پژوهشی |‌ فصل دوم | جلسه دوم 👨‍🏫 آقای میلاد بهاری | فناوری‌های خودمختاری (Autonomy Technologies) 🎓 میلاد دانش‌آموخته کارشناسی مهندسی هوافضا و دانش‌جوی ارشد فناوری‌های خودمختاری در دانشگاه FAU آلمانه. 👷‍♂️سیستم‌های خودمختار کم‌کم دارن از محیط‌های آزمایشگاهی خارج می‌شن و تبدیل می‌شن به یه صنعت بزرگ. صنعتی که یکی از پایه‌هاش هوش‌مصنوعیه. بنابراین، مراکز آموزشی باید نسل بعدی مهندسین رو برای این حوزه آماده‌ کنن

🔥116

Showing the 12 most recent of 20 posts we hold for @FridayNightResearch. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

4 Jun 2026, 13:14 UTCFinal Results33 voters

سلام به همه، به نظرتون نشست‌های هفتگی رو...

  1. از همین هفته یا هفته آینده شروع کنیم.33%
  2. بذاریم برای بعد از امتحانات پایان‌ترم.67%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 30 December 2025 to 3 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 926,652 of 1,481,217entries 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“آدینه پژوهشی |‌‌ Friday Night Research” (@FridayNightResearch), 169 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/FridayNightResearch.

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.