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 76% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 43 days, net -503. 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 7,730–8,383 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 18:00
7,805
-44
15 Sept 2026, 05:19
7,849
-34
12 Sept 2026, 00:40
7,883
-38
7 Sept 2026, 19:38
7,921
-30
3 Sept 2026, 01:38
7,951
-62
30 Aug 2026, 16:42
8,013
-25
27 Aug 2026, 23:53
8,038
-27
24 Aug 2026, 23:57
8,065
-53
21 Aug 2026, 13:07
8,118
-22
18 Aug 2026, 20:43
8,140
-68
15 Aug 2026, 17:44
8,208
-52
11 Aug 2026, 22:52
8,260
-39
8 Aug 2026, 15:41
8,299
-9
7 Aug 2026, 17:47
8,308
first reading
Engagement
9 posts held, back to 29 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 24 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 13s
Average length
28s
Measured directly from 7 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
290 reactions across 9 posts, in 21 distinct kinds. The most used accounts for 25.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
74
25.5%
🫡
40
13.8%
🔥
23
7.93%
⚡
19
6.55%
🎃
17
5.86%
😡
16
5.52%
🤝
15
5.17%
👍
14
4.83%
👏
13
4.48%
❤🔥
12
4.14%
💔
9
3.10%
😍
7
2.41%
🤯
7
2.41%
🤔
6
2.07%
😈
5
1.72%
😇
3
1.03%
🙏
3
1.03%
🍓
2
0.69%
👻
2
0.69%
😎
2
0.69%
1 further kind
1
0.345%
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 9 of the 9 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 290 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 29 November 2025 to 24 February 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.
😍 متفقین در ایران و کنفرانس تهران.
در این کنفرانس که از ۲۸ نوامبر تا یکم دسامبر ۱۹۴۳ به طول انجامید، استالین، چرچیل و روزولت برای اولینبار با یکدیگر ملاقات کردند و طرح عملیات نهایى برای در هم شکستن نیروی مقاومت آلمانیها که متضمن گشودن جبهه دوم در غرب اروپا و حمله بزرگ ارتش شوروی در جبهه شرق بود، تهیه شد. بزرگترین موفقیتی که در کنفرانس تهران نصیب استالین شد، نزدیکی به روزولت و جلب اعتماد او بود که نتایج خود را در ب…
🤩🤩🤩🤩🤩🤩
😍 جنگ جهانی دوم / جبهه های جنگ شمال آفریقا.
😍 World War II / North African war fronts.
✈️✈️✈️✈️✈️✈️✈️✈️✈️
➖➖➖➖➖➖➖➖➖
🤚🔪💎🎖🤚💛📺
@Reich_land_news
😍🏆❤️🏳️🌈😍🤚🇮🇷
✈️✈️✈️✈️✈️✈️✈️
🤩🤩🤩🤩❎🤩🤩🤩🤩🤩🤩
😍 نبرد کیف.
عملیات نظامی رایش سوم در سال ۱۹۴۱ که طی آن حجم وسیعی از نیروهای شوروی در اطراف شهر کیف در اوکراین به محاصره درآمدند و در نهایت نبرد با تسلیم نیروهای شوروی و پیروزی قاطع رایش سوم به انتها رسید. نبرد کیف بزرگترین محاصره نیروهای نظامی در طول تاریخ بودهاست که طی آن ۶۶۵۰۰۰ نیروی نظامی شوروی به اسارت رایش سوم درآمدند. این نبرد بزرگترین شکست شوروی در جنگ جهانی دوم بود.
پس از پیروزیهای سریع ورماخ…
🤚 نبرد نروژ.
تمركز ناوگان جنگي و دريايى انگلستان در بنادر نروژ و دانمارك در ماههاي فوريه و مارس سال ۱۹۴۰ ، نقشههاي جنگي آلمان را تغيير داد و روز دوم آوريل، آدولف هيتلر فرمان حمله به نروژ و دانمارك را صادر كرد.
سحرگاه روز هفتم آوريل، پنج گروه از ناوگان جنگي آلمان، عازم بنادر نروژ شدند و بامداد نهم آوريل، نبرد سختي در پنج بندر نروژ بين نيروي دريايى آلمان و انگليس درگرفت. در سه بندر، قبلا كشتيهاي تجارتي آلمان كه مملو…
🤚 Riot in the Warsaw Ghetto.
Many Jews living in ghettos throughout Eastern Europe tried to organize resistance against the Germans, arming themselves with smuggled and homemade weapons.
Between 1941 and 1943, about 100 Jewish groups formed underground resistance movements. The most famous attempt of the Jews to resist and fight against the Germans took place in the Warsaw Ghetto.
In the summer of 1942, about 300,000…
🔤🔤🔤🔤🔤❎🔤🅰️🔤🔤
🤚 شورش در گتوی ورشو.
بسیاری از یهودیان ساکن در گتوهای سرتاسر اروپای شرقی کوشیدند تا به سازماندهی مقاومت علیه آلمانی ها بپردازند و خود را با سلاح های قاچاقی و دست ساز مسلح کنند.
بین سال های ۱۹۴۱ و ۱۹۴۳، حدود ۱۰۰ گروه یهودی نهضت های مقاومت زیرزمینی تشکیل دادند. معروف ترین تلاش یهودیان در جهت مقاومت و جنگ مسلحانه علیه آلمانی ها، در گتوی ورشو صورت پذیرفت.
در تابستان سال ۱۹۴۲، حدود ۳۰۰۰۰۰ یهودی از ورشو به تربل…
🍲 لحظه حمله به سایت پدافندی ارتش در تبریز.
کارکنان پدافند ارتش با اینکه میدانند مورد هدف قرار میگیرد، مرکز را خالی نکرده و درحال انجام ماموریت هستند.
🔂🅰️🅰️🅰️🔵🔴
@RLN_NEWS
➖➖➖➖➖➖
@Reich_land_news
😡11💔6🔥6🤯4🤔3
Showing the 9 most recent of 9 posts we hold for @Reich_land_news. 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.
Mentions
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
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.