: INDIAN ARMY – "NEXT GEN" #Documentary ➖➖➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
🤣1

Channel
@USAMRYDATA
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
8,154subscribers
-253 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001226213143 |
|---|---|
| Type | Channel |
| Username | @USAMRYDATA |
| Description | 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐 __________________________ 🏛 سایر کانال های ما : https://t.me/addlist/OInjvgMb7mtmODk8 __________________________ 📱سایر پلتفرم های ما : https://usarmyda.bio.link __________________________ |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/USAMRYDATA |
Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Nov 2026, 16:55 | 8,154 | -19 |
| 6 Nov 2026, 07:06 | 8,173 | +7 |
| 3 Nov 2026, 05:17 | 8,166 | -11 |
| 31 Oct 2026, 05:38 | 8,177 | -6 |
| 28 Oct 2026, 07:38 | 8,183 | -1 |
| 24 Oct 2026, 23:31 | 8,184 | -3 |
| 19 Oct 2026, 01:46 | 8,187 | -14 |
| 15 Oct 2026, 16:56 | 8,201 | -9 |
| 12 Oct 2026, 11:06 | 8,210 | -5 |
| 5 Oct 2026, 13:56 | 8,215 | -21 |
| 27 Sept 2026, 12:17 | 8,236 | -22 |
| 18 Sept 2026, 04:19 | 8,258 | -11 |
| 13 Sept 2026, 13:57 | 8,269 | -14 |
| 9 Sept 2026, 18:16 | 8,283 | -14 |
| 4 Sept 2026, 16:58 | 8,297 | -4 |
| 1 Sept 2026, 08:28 | 8,301 | -10 |
| 29 Aug 2026, 03:13 | 8,311 | -5 |
| 25 Aug 2026, 21:17 | 8,316 | -13 |
| 22 Aug 2026, 18:37 | 8,329 | -4 |
| 19 Aug 2026, 08:55 | 8,333 | first reading |
285 posts held, back to 3 August 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 39 pages of Telegram’s post history, 20 posts per page.
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 151 of 152 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 285 (3 August 2026 – 10 November 2026) |
| Views total | 61,385 |
| Reactions total | 1,671 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 01:00 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.
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Measured directly from 152 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.
3,503 reactions across 280 posts, in 25 distinct kinds. The most used accounts for 25.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 878 | 25.1% | |
| 😁 | 834 | 23.8% | |
| 🤣 | 629 | 18.0% | |
| ❤ | 373 | 10.6% | |
| 😎 | 230 | 6.57% | |
| 🤬 | 149 | 4.25% | |
| 🔥 | 55 | 1.57% | |
| 👌 | 46 | 1.31% | |
| 🫡 | 42 | 1.20% | |
| 💯 | 40 | 1.14% | |
| 💔 | 34 | 0.971% | |
| 🤯 | 33 | 0.942% | |
| 🤔 | 29 | 0.828% | |
| 👎 | 28 | 0.799% | |
| 👏 | 25 | 0.714% | |
| ❤🔥 | 24 | 0.685% | |
| 😍 | 13 | 0.371% | |
| 😭 | 12 | 0.343% | |
| 🥰 | 9 | 0.257% | |
| 🗿 | 7 | 0.2% | |
| 5 further kinds | 13 | 0.371% |
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 280 of the 285 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 3,503 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 285 most recent posts we hold, published 3 August 2026 to 10 November 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.
Telegram’s own ‘edited’ marker: 9 of 155 posts held from the last 30 days (5.81%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
: INDIAN ARMY – "NEXT GEN" #Documentary ➖➖➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
🤣1
۳۷ سال پیش در این روز دیوار برلین فرو ریخت، بزرگترین و پرجمعیتترین زندان روباز جهان همراه با یکی از پیچیدهترین نیروهای امنیتی و پلیس مخفی برای جاسوسی از شهروندان. در دوران حکومت نازیها در آلمان به ازای هر ۲ هزار شهروند یک مامور گشتاپو و خبرچین وجود داشت در حالی که در دوران حکومت کمونیستها به ازای هر ۶۳ شهروند یک مامور اشتازی و خبرچین وجود داشت. زنی به اسم ورا لنگسفیلد یکی از قربانیان این رژیم میگفت: «در آلمان شر…
👍11
🔸چین با دیتاسنتر عظیم ۸۰۰ مگاواتی به جنگ پروژه استارگیت آمریکا میرود 🔹چین ساخت پردیس دیتاسنتر هوش مصنوعی ۸۰۰ مگاواتی گلکسی را آغاز کرده و فاز نخست ۱۲۰ مگاواتی آن را در کمتر از یک سال به بهرهبرداری رسانده است. طبق ارزیابیها، هزینه ساخت این فاز حدود یکپنجم نمونههای مشابه در آمریکا برآورد میشود. هدف نهایی این پروژه رقابت با پردیس ۸۲۰ مگاواتی استارگیت آمریکا تا پایان سال ۲۰۲۷ میلادی است. 🔹توسعهدهندگان چینی بهجا…
🤬3👎1
📣 کشورهایی که بیشترین مدلهای هوش مصنوعی را توسعه میدهند + اینفوگرافی نکات کلیدی: 🗣ایالات متحده آمریکا با سهم ۵۰ درصدی، نیمی از مدلهای هوش مصنوعی موجود در مجموعه دادههای مورد بررسی را توسعه داده است. این رقم بیش از دو برابر سهم ۲۴ درصدی چین است. 🗣آمریکا و چین در مجموع ۷۴ درصد از مدلهای هوش مصنوعی را به خود اختصاص دادهاند و فاصله چشمگیری با سایر اقتصادهای جهان دارند. 🗣بریتانیا با سهم ۵.۲ درصدی در رتبه سوم قرا…
: The World’s Most Iconic Hovering Fighter Jet | AV-8B Harrier نمادینترین جت جنگنده معلق جهان | AV-8B Harrier #Documentary ➖➖➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
❤1
📣 موشک DF-21D ساخت چین چگونه میتواند ناوهای هواپیمابر آمریکا را غرق کند؟ 🗣ناوهای هواپیمابر به نیروهای دریایی اجازه میدهند بدون وابستگی به پایگاههای هوایی نزدیک، قدرت هوایی خود را در سراسر اقیانوسها گسترش دهند. چین موشک DF-21D را برای تهدید شناورهایی توسعه داده است که چنین عملیاتی را امکانپذیر میکنند. 🗣موشک DF-21D که به «قاتل ناوهای هواپیمابر» شهرت دارد، یک موشک بالستیک ضدکشتی زمینپایه است که برای هدف قرار دا…
👎5❤2
📌اشتباه بزرگ هایزنبرگ؛ محققان دلیل شکست برنامه هستهای آلمان نازی را کشف کردند 🔹 در جریان جنگ جهانی دوم، دانشمندان پروژه منهتن در آمریکا نگران بودند که آلمان نازی پیش از متفقین بمب اتمی بسازد. با وجود دو سال پیشتازی اولیه، برنامه هستهای آلمان شکست خورد و هرگز به مرحله تولید سلاح هستهای نرسید. 🔹 اکنون محققان در پژوهشی تازه نشان دادند شکست این برنامه بسیار عمیقتر از کمبود محدود مواد اولیه بود و طراحی راکتور آلمان…
❤3💔3
رادار سیریک #FUN ➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
😁9🤣5👎1😎1
#FUN ➖➖➖➖➖➖➖ 🗽🅓🅔🅩🅗.🅜🅔🅜🅔
😎8👍4😁3🤣2
بازرگان، تحلیلگر حکومتی: برای حفظ و بقای نظام، حتی جان امام زمان هم مهم نیست؛ برای بقای جمهوری اسلامی، آیات قرآن رو هم جابهجا میکنیم و حتی بقیه مسلمانان رو هم میکشیم. 🖊این باباش سگ خامنه ای تو نیروی هوایی ارتش بود و برای مشروعیت دزدیش جهاد خودکفایی نیروی هوایی ارتش رو ایجاد کرد که طی 47 سال گذشته سرمایه ملت را با پروژه های سسس و شعر برباد داد تا پول به جیب خودش و تولش بزنه و الان نیروی هوایی را به موزه هوایی تبد…
😁11🤣5😎1
فهرست بهترین ایرلاینهای جهان در ۲۰۲۶ منتشر شد؛ رقابت نزدیک غولهای هوانوردی هواپیمایی سنگاپور ایرلاینز برای ششمین بار عنوان بهترین ایرلاین جهان را در رتبهبندی سال ۲۰۲۶ اسکایترکس کسب کرد. قطر ایرویز جایگاه نخست را از دست داد و به رتبه دوم سقوط کرد. این رتبهبندی که به اسکار صنعت هوانوردی شهرت دارد، صدرنشین جدید را معرفی کرد. ⚙️#TECH ➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
👍3
در این تصویر مرز ایران و ترکیه با سنگچین مشخص شده است و مرزداران ایرانی و ترک در کنار یکدیگر دیده میشوند. پشت سر آنها دو قله آرارات بزرگ و کوچک دیده میشود، سال 1330 خورشیدی. 📅#History ➖➖➖➖➖➖➖➖➖ 🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
👍9❤6💔3😎1
Showing the 12 most recent of 285 posts we hold for @USAMRYDATA. 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.
@USAMRYDATA 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐” (@USAMRYDATA), 8,154 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/USAMRYDATA.
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.