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Telegram profile photo for Tankograd🛡

Channel

Tankograd🛡

@SNTankograd

On this record: Topic · Previous handles · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

21,419subscribers

-8,955 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001056678368
TypeChannel
Username@SNTankograd
Descriptionکانالی برای نشر آموزه ها و مباحث مرتبط با عرصه زرهی و سایر بخش های نیروی زمینی 👈 تابع قوانین تلگرام جهت ارتباط با مدیریت کانال : @SNTankograd_ad جهت تبلیغات : @SNTankogradads نخستین پست کانال : https://t.me/SNTankograd/3
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/SNTankograd

Topic

Politics & activism — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.

Previous handles

Recorded in 2019 as “Tankograd 🇮🇷” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@SNTankograd/53990 · this entry2 Nov 2026, 18:59 UTC@defence_news/525573 Nov 2026, 10:32 UTC1.0016 hours
@SNTankograd/53981 · this entry31 Oct 2026, 20:01 UTC@Minas_Tirith2024/1611431 Oct 2026, 20:54 UTC1.0052 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@defence_news14 (8/8 hand-verifiable sample passed)1.0014 minutesthis entry (12–2)
@Minas_Tirith20245 (5/5 hand-verifiable sample passed)1.0089 minutesthis entry (5–0)
@P_raetorio7 (7/7 hand-verifiable sample passed)1.0062 minutesthis entry (6–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 196 comparable posts for this entry, running 2 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

20,37530,38725,38121,4196 August 202611 November 2026
65 measurements spanning 96 days, net -8,955. 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 18,873–31,889 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 02:5721,419+11
9 Nov 2026, 08:4021,408-20
8 Nov 2026, 01:1921,428-9
6 Nov 2026, 23:4021,437-7
5 Nov 2026, 22:4821,444-12
4 Nov 2026, 21:5921,456-20
4 Nov 2026, 01:0121,476-7
2 Nov 2026, 21:5121,483-8
1 Nov 2026, 23:1621,491+42
1 Nov 2026, 00:2721,449+51
31 Oct 2026, 03:1521,398+16
30 Oct 2026, 03:3121,382-26
28 Oct 2026, 23:5921,408-3
27 Oct 2026, 20:2521,411-24
26 Oct 2026, 22:0921,435-21
25 Oct 2026, 22:1521,456-9
24 Oct 2026, 22:2521,465+17
23 Oct 2026, 23:4621,448-16
22 Oct 2026, 20:1121,464+6
21 Oct 2026, 13:3621,458first reading

Engagement

231 posts held, back to 2 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 95 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.5%
avg views ÷ 21,419 subscribers
Avg views / post
5,250
65 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
66
of 231 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 11 November 2026
Posts held231 (2 August 2026 – 11 November 2026)
Views total341,390
Reactions total5,083
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 21:48 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
≈33,300
Videos
≈4,210
Links
≈2,600

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
28m 29s
Average length
1m 08s

Measured directly from 25 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

18,812 reactions across 230 posts, in 19 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8,37144.5%
🤣4,05921.6%
❤2,93315.6%
💔5763.06%
🔥4712.50%
👌4082.17%
👎3762.00%
🤯3421.82%
👏2851.51%
👀2541.35%
🫡2441.30%
🥰1830.973%
😐1220.649%
😍530.282%
🙏500.266%
💯270.144%
😘230.122%
🤝230.122%
😢120.064%

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 230 of the 231 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 18,812 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 231 most recent posts we hold, published 2 August 2026 to 11 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 Stars

Stars received
4
across the posts below
Posts paid on
2
of 230 we hold a reading for · 0.9%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SNTankograd. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 231 most recent posts we hold for this entry, published 2 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 66 posts held from the last 30 days (10.6%) 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).

11 Nov 2026, 19:31 UTC≈5,830 views33 reactionsread 12 November 2026
Photo

هویتزرهای PLZ-45 ساخت چین در رژه ارتش کویت. چین در یک دهه اخیر در حوزه بازاریابی و فروش محصولات توپخانه ای خود در میان کشورهای خاورمیانه، موفقیت قابل توجهی کسب کرده و کشورهایی نظیر عربستان، امارات و کویت در لیست خریداران محصولات توپخانه ای چین قرار گرفتند. در بحث راکت انداز های توپخانه ای نیز همکاری هایی با ترکیه شکل داده شد که نمونه آن را میتوان در پروژه راکت TRG-300 دید توپخانه چین در بیشتر زمان چند دهه اخیر به عن…

👍27❤5🔥1

11 Nov 2026, 18:58 UTC≈2,140 views47 reactionsread 12 November 2026
Photo

وقتی از نسل جنگ سردی خودروهای شناسایی رزمی صحبت میکنیم منظور ما چیزی نظیر اسکورپیون بریتانیایی است یا خودروهای هم نسل آن، زره پوش هایی با قابلیت های رزمی محدود. @SNTankograd

❤28👍18👌1

11 Nov 2026, 18:45 UTC≈2,110 views45 reactionsread 12 November 2026
Photo

یک تفاوت مهم در دکترین خودروهای شناسایی رزمی در دوره جنگ سرد و امروز این است که در نسل قبلی خودروهای شناسایی رزمی معمولا بر شناسایی در ضمن فرار از درگیری با دشمن تاکید میشد اما توانمندهای رزمی نسل امروزی خودروهای شناسایی به نحوی است که فرار از درگیری به درگیری و شناسایی تبدیل شده است. خودروهای شناسایی رزمی امروزی نه تنها قابلیت مقابله با پیاده نظام را دارند که از قابلیت بالایی در مقابله با انواع ادوات زرهی از تانک ه…

👍38❤6👎1

11 Nov 2026, 18:18 UTC≈2,130 views34 reactionsread 12 November 2026
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وجود نقاط کور در دید هوایی (پوشش‌ها و موانع) یکی از مهمترین دلایل به کارگیری روش شناسایی رزمی زمین پایه محسوب میشود.جنگل‌های انبوه، تونل‌ها، پناهگاه‌های زیرزمینی، عوارض طبیعی کوهستانی و بافت متراکم شهری مانع دید ماهواره‌ها و پهپادها می‌شوند. حضور فیزیکی در منطقه برای کشف استحکامات استتار شده دشمن الزامی است اما یکی از مهمترین دلایل استفاده از خودروهای شناسایی رزمی این است که نسل جدید این زره پوش ها نه صرفا در حوزه ش…

👍30❤4

11 Nov 2026, 18:08 UTC≈2,100 views51 reactionsread 12 November 2026
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درود بر شما وقت بخیر🌷 زیبای فرانسوی، خودروی شناسایی رزمی EBRC جگوار. چرا امروز ما در رزم زمینی همچنان به خودروهای شناسایی نیاز داریم؟ پاسخ کوتاه و خلاصه این است که تا زمانی که نقش و کاربری این خودروها به هر نحو جایگزین نشود ما همچنان به چنین زره پوش هایی نیاز داریم. اما در پس این سوال پاسخ مفصل تری هم هست. سایر انواع شناسایی اعم از هوایی، ماهواره ای و ....... با تمام پیشرفت ها و فناوری هایی که دارند همچنان ضعف ها و …

❤28👍23

10 Nov 2026, 18:42 UTC≈3,020 views80 reactionsread 12 November 2026
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استعداد هر تیپ زرهی اسرائیل در بازه 90 الی 120 دستگاه تانک است که حد متوسط این رقم چیزی در حدود 100 تا 112 دستگاه است. 60 دستگاه مرکاوا مارک 4 که در جنگ با حزب الله مورد اصابت قرار گرفته اند چیزی در حدود 50 درصد از استعداد یک تیپ زرهی ارتش اسرائیل محسوب میشوند. تا جایی که به خاطر دارم ارتش اسرائیل 13 تیپ زرهی دارد که 4 تیپ ثابت/منظم و 9 تیپ ذخیره هستند! @SNTankograd

👍64❤10🔥4👎2

10 Nov 2026, 17:31 UTC≈2,910 views30 reactionsread 12 November 2026

پستی که باید مدت ها پیش درج میشد و البته به دلیل فراموشی درج آن به تاخیر افتاد : به روزرسانی اصابت های موفق و ناموفق مولتی روتور و تسلیحات ضد زره حزب الله به ادوات و تجهیزات نیروی دفاعی اسرائیل تا آخرین کلیپ منتشر شده از سوی حزب الله که موارد ثبت شده در روزهای واپسین نبرد و پیش از وقوع آتش بس را نشان میدهد : 2 دستگاه نفربر زرهی چرخ دار ایتان 36 دستگاه نفربر زرهی شنی دار کلاس سنگین نمر 1 دستگاه خودروی رزمی پیاده…

❤16👍9👎3💔1🙏1

10 Nov 2026, 17:12 UTC≈2,500 views29 reactionsread 12 November 2026
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پنجمین و آخرین مورد هدف قرار گرفتن یک دستگاه نفربر زرهی کلاس سنگین نمر است که البته به محض اصابت کلیپ قطع میشود (یکی از ترفند های واحد رسانه ای حماس برای مبهم گذاشتن نتیجه و ادعای انهدام). در این مورد نقطه اصابت و نتیجه مشخص نیست. بد نیست بدانید که نمر سنگین ترین نرخ تلفات سرنشینان را در جنگ غزه ثبت کرده است. در 2 نوامبر سال 2023 یک دستگاه نمر در شمال نوار غزه مورد اصابت قرار گرفت که نتیجه آن مرگ 11 نفر و زخمی شدن 1…

👍20💔6❤1👀1🥰1

10 Nov 2026, 17:03 UTC≈2,350 views18 reactionsread 12 November 2026
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چهارمین مورد هدف قرار دادن یک دستگاه تانک مرکاوا از مدل نامشخص است که به نظر اصابت به لبه سمت راست بخش جلویی برجک صورت میگیرد. با توجه به برآوردی که از نقطه اصابت صورت گرفته این مورد را در بهترین حالت در حد آسیب به بلوک زره جلوی برجک میتوان در نظر گرفت (و در نهایت اصابت ترکش به توپ و آسیب به پوشش حرارتی روی توپ) در خصوص این کلیپ یک برداشت دیگر هم وجود دارد اینکه انفجار به نظر با فاصله از تانک رخ میدهد و بر همین اسا…

❤11👍6💔1

10 Nov 2026, 16:48 UTC≈2,240 views19 reactionsread 12 November 2026
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سومین مورد هم هدف قرار گرفتن بولدوزر کاترپیلار D9 با راکت یاسین 105 است. در این بخش از کلیپ یک دستگاه مرکاوا مارک 4 ام مجهز به زره ضد پهپاد هم دیده میشود که البته در جنگ غزه عملا کاربردی نداشت و دو سه موردی که اصابت از بالا آن هم از طریق راکت یاسین و از روی ساختمان ها به تانک های مرکاوا مجهز به این سطح حفاظتی صورت گرفت، نقطه اصابت ناجیه زیرین این پوشش حفاظتی بود و عملا این پوشش را ناکارآمد کرد ضمن اینکه به جز روزهای …

❤12👍5👎2

10 Nov 2026, 16:44 UTC≈2,210 views24 reactionsread 12 November 2026
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دومین مورد هدف قرار گرفتن خودروی مهندسی پوما است که مدتی تحت نظر گرفته میشود اما در نهایت در زمانی که هدف قرار میگیرد به نظر خبری از حضور خدمه نیست. شلیک از بالا به سمت ناحیه فوقانی زره پوش صورت میگیرد اما نقطه اصابت دقیقا مشخص نیست. اصابت ممکن است به جایگاه تسلیحاتی کنترل از راه دور صورت گرفته باشد یا هر یک از دریچه های باز روی نفربر. بسته به اینکه نقطه اصابت کجا باشد، سطح آسیب مشخصا متفاوت است یکی از درس آموخته ها…

❤17👍7

10 Nov 2026, 16:36 UTC≈2,080 views28 reactionsread 12 November 2026
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اولین مورد هدف قرار گرفتن یک دستگاه بولدوزر کاترپیلار D9 با استفاده از راکت دو مرحله ای یاسین 105 است. از این جهت که این بولدوزرها دارای کابین زره پوش ایضا مجهز به زره قفسی هستند راکت های تک مرحله ای برای نفوذ به کابین شانس زیادی ندارند اما راکت یاسین میتواند در این زمینه موفق باشد اگر آمار موارد انهدامی از زرهی اسرائیل در جنگ غزه را بررسی کنیم، بالاترین میزان به بولدوزرهای D9 تعلق میگیرد چرا که آسیب پذیرترین زره پو…

👍19❤7👎2

Showing the 12 most recent of 231 posts we hold for @SNTankograd. 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.

Posts edited after publishing

@SNTankograd edited 2 posts 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.

First edit seen
7 November 2026
Most recent edit
9 November 2026

Posts recorded as deleted after publishing

We recorded 31 posts on @SNTankograd as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
8

Forward network

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 23 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

جنگاوران
@jangaavaran1390 · 137,014
#1
کاتافراکت
@cataphract1 · 59,718
#2
🇮🇷وقایع الاتفاقیه نظامی🇮🇷
@defence_news · 49,247
#3
Minas Tirith
@Minas_Tirith2024 · 43,097
#4
Exciton Missile Program
@Exciton_missile_program · 32,044
#5
Military Times🎖
@Military_Times_Blog · 13,970
#6
TAC OPS
@TAC_OPS · 13,378
#7
✍️𝐖𝐀𝐑 𝐑𝐎𝐎𝐌 | اتاق جنگ⚔️
@WAR_ROOM_NEWS · 17,060
#8
Praetorio
@P_raetorio · 40,928
#9
Red Lion Corps
@RedLionCorps · 25,235
#10
Partisan / پارتیزان
@partisan2015 · 62,762
#11
Samuel
@samueltarikh · 19,371
#12
NAVY FORCE
@Navy_force · 2,800
#13
میلیتاری در پارسی
@militaryinpersian · 19,787
#14
مهمات
@mohem_mat · 21,620
#15
🗽🅤🅢.🅐🅡🅜🅨.🅓🅐🅣🅐
@USAMRYDATA · 8,154
#16
Task Force Artemis⚓️
@Artemis_Force · 11,600
#17
MILITA CAMP
@Milita_Camp · 23,742
#18
Iranian Naval Force
@Navy_Iranian · 20,805
#19
𝐆𝐔𝐀𝐑𝐃 𝐖𝐀𝐑𝐑𝐈𝐎𝐑𝐒
@guard_warriors · 6,063
#20
توئیت نظامی
@Military_Tweet · 18,251
#21
وایو(دست نوشته ها)
@vayuvata · 2,144
#22
بامداد خاور
@Bamdad_Khavar · 4,528
#23
🇮🇷Defender IRAN🇮🇷
@irDefender · 95,728
#24
Iranian Defensive Power
@iranian_defensive_power · 13,117
#25
میلیتاری در جهان موازی
@MilitaryDarJahanMovazi · 4,091
#26
Vahid Online وحید آنلاین
@vahidonline · 1,386,989
#27
مملکته
@mamlekate · 560,335
#28
بن بست خاورمیانه Middle East Dead End
@Middleeastdeadend · 11,351
#29
Military Podcast | پادکست نظامی 🎙
@mili_podcast · 20,735
#30
RASTAKHIZ
@RASTAKHIZ_PERSIAN · 16,822
#31
خشاتریا
@Khashateria_Cata · 6,800
#32
MESHKAT | مشکات
@Projectmeshkat · 19,393
#33
Fighter Radar | فایتر رادار
@fighter_radar · 186,171
#34
NEUTRINO
@neutrino_x · 15,636
#35
Military Humor
@military_humor · 4,657
#36
MilitaryQuiz
@MilitaryQuiz · 1,946
#37
GENERAL
@General_persiian · 34,895
#38
اخبار امنیتی - نظامى
@tasnim_military · 8,588
#39
فرازِ خاکستری
@FarazTheGrey · 1,601
#40
BBCPersian
@bbcpersian · 771,493
#41
FactNameh | فکت‌نامه
@factnameh · 109,848
#42
اخبار سوریه
@syriankhabar · 89,604
#43
🇮🇷Defenders Plus+
@defenders_plus · 29,984
#44
خبرهای فوری مهم 🔖
@khabar_fouri · 1,147,659
#45
دانشنامه نظامي
@daneshnamehnezami · 2,946
#46
🎬 بیسیمچی مدیا
@bisimchimedia · 1,031,053
#47
انتخابات آمریکا... ادامه راه
@usgelections · 9,881
#48
🚀🇮🇷سلاح مدیا🇮🇷✈️
@Selahmedia · 28,199
#49
پایگاه خبری انتخاب
@entekhab_ir · 205,381
#50
Patriot meme
@MGC1400 · 15,807
#51
Parvaz dar oj
@Parvazdaroj · 32,143
#52
تاریخ قرن بیستم WW1-WW2
@historyworldwar2 · 28,437
#53
📋Mɪʟɪᴛᴀʀʏ Aʀᴛɪᴄʟᴇs
@Army_Ir · 2,474
#54
Scale Modeling world VH
@SMWVh1 · 1,244
#55
اقوال الانعام
@aqvalanam · 41,131
#56
لژیون
@legion_cata · 1,582
#57
Zoomit | زومیت
@thezoomit · 132,636
#58
AirCraft ✈️
@AirCraft_ir · 15,379
#59
⚔️IRAN⚔️ Warthunder | مرجع رسمی وارتاندر ایران
@IRANwarthunder · 4,994
#60
🌐مطالب تاریخی
@matalebtarikhim · 30,312
#61
Digiato | دیجیاتو
@Digiato · 115,510
#62
Iran International ایران اینترنشنال
@iranintltv · 1,380,853
#63
Aerospacetalk
@aerospacetalk · 10,581
#64
Toos Tahmasebi
@toos1989 · 5,573
#65
Meme template
@persian_meme_template · 488
#66
VPN CLUB
@wbnet · 227,373
#67
TechTube 𝕏 تک توب
@TechTube · 75,094
#68
چین‌نگار
@ChinNegar · 4,059
#69
توییتر فارسی
@officialpersiatwiter · 569,517
#70
Anarconomy
@anarconomy · 46,054
#71
هوافضای کاسموس
@rus_cosmos · 6,804
#72
6GAG
@SIXGAG · 34,775
#73
euronews یورونیوز
@euronewspe · 146,334
#74
GENERALS بازی
@GENERALZEROHOVR · 2,383
#75
رسانه خبری بامدادنو
@baamdadeno · 101,535
#76
نقشه فارسی
@farsimapp · 612
#77
War History
@warhistory1 · 7,482
#78
IRCF | اینترنت آزاد برای همه
@ircfspace · 97,079
#79
𝐒𝐤𝐲 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬
@Sky_Airlines · 4,535
#80
مووی کاتیج
@CottageOrg · 742,325
#81
Zoomg | زومجی
@myzoomg · 86,002
#82
MSAI
@M_S_A_Institute · 933
#83
Clash Report
@ClashReport · 110,123
#84
Kishti Tracker
@kishti_tracker · 250
#85
Vigiato | ویجیاتو
@vigiatonet · 83,789
#86
MEME STREET 4life
@meme_street · 26,871
#87

Read from Telegram’s recommendation API, most recently 25 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

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.

میلیتاری در پارسی
@militaryinpersian · 19,787
Telegram ranks this channel #9 of 88 here — alongside 87 others — read 27 September 2026
Praetorio
@P_raetorio · 40,928
Telegram ranks this channel #9 of 92 here — alongside 91 others — read 30 August 2026
🇮🇷وقایع الاتفاقیه نظامی🇮🇷
@defence_news · 49,247
Telegram ranks this channel #9 of 95 here — alongside 94 others — read 25 August 2026
کاتافراکت
@cataphract1 · 59,718
Telegram ranks this channel #9 of 94 here — alongside 93 others — read 22 August 2026
Military Podcast | پادکست نظامی 🎙
@mili_podcast · 20,735
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 24 September 2026
Red Lion Corps
@RedLionCorps · 25,235
Telegram ranks this channel #10 of 92 here — alongside 91 others — read 15 September 2026
Exciton Missile Program
@Exciton_missile_program · 32,044
Telegram ranks this channel #10 of 92 here — alongside 91 others — read 6 September 2026
Minas Tirith
@Minas_Tirith2024 · 43,097
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 29 August 2026
جنگاوران
@jangaavaran1390 · 137,014
Telegram ranks this channel #12 of 94 here — alongside 93 others — read 13 August 2026
مهمات
@mohem_mat · 21,620
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 24 September 2026
Fighter Radar | فایتر رادار
@fighter_radar · 186,171
Telegram ranks this channel #16 of 85 here — alongside 84 others — read 12 August 2026
MILITA CAMP
@Milita_Camp · 23,742
Telegram ranks this channel #18 of 80 here — alongside 79 others — read 19 September 2026
Iranian Naval Force
@Navy_Iranian · 20,805
Telegram ranks this channel #23 of 92 here — alongside 91 others — read 29 September 2026
Parvaz dar oj
@Parvazdaroj · 32,143
Telegram ranks this channel #28 of 88 here — alongside 87 others — read 9 September 2026
تاریخ قرن بیستم WW1-WW2
@historyworldwar2 · 28,437
Telegram ranks this channel #31 of 81 here — alongside 80 others — read 12 September 2026
world_newsly
@World_Newsly · 261
Telegram ranks this channel #31 of 88 here — alongside 87 others — read 11 August 2026
Partisan / پارتیزان
@partisan2015 · 62,762
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 21 August 2026
FactNameh | فکت‌نامه
@factnameh · 109,848
Telegram ranks this channel #37 of 96 here — alongside 95 others — read 14 August 2026
MESHKAT | مشکات
@Projectmeshkat · 19,393
Telegram ranks this channel #38 of 93 here — alongside 92 others — read 2 October 2026
GENERAL
@General_persiian · 34,895
Telegram ranks this channel #46 of 84 here — alongside 83 others — read 3 September 2026
تجهیزات نظامی
@tajhizat_nezami2017 · 22,849
Telegram ranks this channel #51 of 88 here — alongside 87 others — read 16 September 2026
🇮🇷Defender IRAN🇮🇷
@irDefender · 95,728
Telegram ranks this channel #51 of 96 here — alongside 95 others — read 22 August 2026
ارتش دفاعى اسرائيل
@idfinfarsi · 94,850
Telegram ranks this channel #53 of 93 here — alongside 92 others — read 15 August 2026
🇮🇷Defenders Plus+
@defenders_plus · 29,984
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 8 September 2026

This channel appears in 36 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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Tankograd🛡” (@SNTankograd), 21,419 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/SNTankograd.

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.