Telegram RegisterThe public register of Telegram

Channel

آكادمى مهندسی هوافضا

@aero_eng

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

8,541subscribers

+6 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001036911758
TypeChannel
Username@aero_eng
Descriptionادمين @AeroEng_Support 🔖 آكادمى تخصصى مهندسى هوافضا؛ ارائه بروزترين كتب، مقالات و گزارشات تحقيقاتى، تكنولوژى و فناورى نوين در دنياى هوافضا و هوانوردى کانال دوره‌ها: @aerospace_course مدیریت: @alidad_gh
CreatedBetween 1 February 2016 and 31 May 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 11 August 2026
On Telegramt.me/aero_eng

Growth

8,5358,5418,5385 August 2026 — 8,535 subscribers6 August 2026 — 8,537 subscribers6 August 2026 — 8,537 subscribers8 August 2026 — 8,541 subscribers5 August 20268 August 2026
4 measurements spanning 3 days, net +6. 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 8,534–8,542 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 17:378,541+4
6 Aug 2026, 03:028,537no change
6 Aug 2026, 02:108,537+2
5 Aug 2026, 22:228,535first reading

Engagement

19 posts held, back to 17 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.6%
avg views ÷ 8,541 subscribers
Avg views / post
1,680
10 posts measured
Reaction rate
0.424%
reactions ÷ views · ER floor
Posts in window
10
of 19 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 5 August 2026
Posts held19 (17 June 20265 August 2026)
Views total16,764
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 04:32 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
2,680
Videos
852
Links
2,050

Lifetime counters from Telegram’s own channel header, read 9 August 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.

Reaction mix

226 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 56.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12756.2%
👍5524.3%
🔥146.19%
🤣104.42%
👎83.54%
😱83.54%
💔31.33%
🤩10.442%

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 19 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 226reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 17 June 2026 to 5 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

5 Aug 2026, 06:13 UTC778 views4 reactionsread 9 August 2026
Forwarded from @aerospace_coursePhoto

📣 دوره آموزشى #آنلاین ✔️ برنامه‌نویسی با PYTHON ⏰ 24 ساعت - 6 هفته 💰شهریه: 2.800 2.240 تومان 👨‍🏫 مدرس: آقای دکتر مهاجری اطلاعات بیشتر و ثبت نام: 👩‍💻 @AeroEng_Support ☎️ 09904971575 ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

👍31

4 Aug 2026, 15:09 UTC986 views6 reactionsread 9 August 2026
Photo

🚀 یادگیری تقویتی در هوافضا؛ وقتی پرنده یاد می‌گیرد تصمیم بگیرد فرض کنید یک پهپاد باید بدون برخورد با موانع، کوتاه‌ترین مسیر را تا مقصد پیدا کند؛ یا یک ماهواره باید با مصرف حداقل سوخت، مانور مداری مناسبی انجام دهد. در چنین مسائلی همیشه نمی‌توان برای تک‌تک شرایط، یک دستور از پیش تعیین‌شده نوشت. اینجاست که Reinforcement Learning یا یادگیری تقویتی وارد می‌شود. در یادگیری تقویتی، یک «عامل هوشمند» با محیط تعامل می‌کند، تص

6

4 Aug 2026, 15:09 UTC≈1,060 views9 reactionsread 9 August 2026
File

⭕️ #آموزش #یک_برش_علم 🔖 یادگیری تقویتی Reinforcement Learning 🟢در این فایل آموزشی که براتون تهیه کردیم به شکل فشرده ولی کاربردی، در مورد یادگیری تقویتی، انواع و کاربرد آن در مهندسی هوافضا، تفاوت آن با کنترل کلاسیک و مسیر آموزشی مناسب برای شما، نکات ارزنده ای جمع آوری شده است. در انتهای مباحث، رفرنس برای مطالعه جامع علاقه مندان ذکر شده است. آموزش‌ها را با #یک_برش_علم میتونید دنبال کنید ✈️آکادمی مهندسی هوافضا✈️ کا

9

26 Jul 2026, 12:57 UTC≈1,990 views5 reactionsread 9 August 2026
File

📕 Drones The Complete Manual – 12th Edition – 2023 ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

👍41

26 Jul 2026, 12:57 UTC≈1,790 views3 reactionsread 9 August 2026
Photo

📕 Drones The Complete Manual – 12th Edition – 2023 📥 دانلود 👉 کلیک کنید ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

👍3

24 Jul 2026, 10:08 UTC≈1,690 views5 reactionsread 9 August 2026
Forwarded from @aerospace_courseFile

🔖 سوالات و پاسخنامه تستی کنکور کارشناسی ارشد مهندسی هوافضا سال 1405 ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

2👍2👎1

23 Jul 2026, 18:40 UTC≈2,120 views12 reactionsread 9 August 2026
File

📚معرفى #كتاب 📕 Modeling and Simulation of Aerospace Vehicle Dynamics 4th Edition ✏️ Peter H. Zipfel 2025 ویرایش دوم همین کتاب رو دقیقا 10 سال پیش توی کانال گذاشته بودیم :)) ای جوونی https://t.me/aero_eng/1238 ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

12

23 Jul 2026, 18:40 UTC≈1,840 views3 reactionsread 9 August 2026
Photo

📚معرفى #كتاب 📕 Modeling and Simulation of Aerospace Vehicle Dynamics Fourth Edition ✏️ Peter H. Zipfel 2025 | 667 Pages | AIAA «مدل‌سازی و شبیه‌سازی دینامیک وسایل پرنده (ویرایش چهارم)» تقریبا معروف ترین کتاب در زمینه شبیه سازی دینامیکی وسایل نقلیه هوافضاییست. و این ویرایش آخرین ویرایش این کتاب محبوب است. این کتاب مجموعه ابزار کاملی را برای برنامه‌نویسی و اجرای این شبیه‌سازی‌ها در اختیار خواننده قرار می‌دهد. برخلا

👍3

19 Jul 2026, 06:57 UTC≈2,300 views13 reactionsread 9 August 2026
Forwarded from @aerospace_courseFile

پاسخ سوالات باکس کنترل ارشد ۱۴۰۵ هوافضا ✏️آقای دکتر مهاجری @EliasMohajeri ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

10👎2🔥1

18 Jul 2026, 18:43 UTC≈2,210 views11 reactionsread 9 August 2026
Forwarded from @aerospace_courseFile

پاسخ سوالات مربوط به درس معادلات دیفرانسیل و مکانیک سیالات کنکور ارشد هوافضا ۱۴۰۵ ✏️مدرس: آقای مهندس قریشی ✈️آکادمی مهندسی هوافضا✈️ کانال دوره‌ها | کانال اصلی

11

11 Jul 2026, 13:59 UTC≈3,590 views20 reactionsread 9 August 2026
Photo

😎 #آموزش روز چرا موتور مرحله دوم ماهواره‌بر‌ها نازل بسیار بزرگ‌تری نسبت به مرحله اول دارند؟ اگر به Falcon 9، Ariane 6 یا حتی Saturn V نگاه کنید، یک نکته عجیب به چشم می‌خورد. نازل موتور مرحله دوم تقریباً دو برابر بزرگ‌تر از موتور مرحله اول است. در نگاه اول شاید فکر کنید: نازل بزرگ‌تر یعنی موتور قوی تر. اما مرحله دوم معمولاً تراست کمتری نسبت به مرحله اول تولید می‌کند. پس چرا نازل آن بزرگ‌تر است؟ نازل فقط برای خروج گا

👍125🔥3

6 Jul 2026, 17:38 UTC≈3,820 views15 reactionsread 9 August 2026
Photo

😎 #آموزش امروز "فلسفه‌های طراحی سازه" اگر از یک دانشجوی سال اول مهندسی بپرسید: «مهمترین ویژگی یک سازه چیست؟» احتمالاً پاسخ می‌دهد: «اینکه سازه هیچ‌وقت آسیب نبیند.» اما جالب است بدانید که در صنعت هوافضا، سال‌هاست مهندسان چنین هدفی ندارند. در واقع، بسیاری از سازه‌های هواپیما از همان ابتدا با این فرض طراحی می‌شوند که ترک در آن‌ها ایجاد خواهد شد. و سوال این است که: «وقتی ترک ایجاد شد، آیا هواپیما هنوز ایمن خواهد بود؟»

12😱2👎1

Showing the 12 most recent of 19 posts we hold for @aero_eng. 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 — 10,066 of 1,183,361entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 11 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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“آكادمى مهندسی هوافضا” (@aero_eng), 8,541 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/aero_eng.

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.