6 measurements spanning 9 days, net -5. 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 1,498–1,507 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 22:34
1,499
-1
13 Aug 2026, 15:46
1,500
-3
10 Aug 2026, 18:28
1,503
-3
7 Aug 2026, 23:26
1,506
+2
7 Aug 2026, 21:46
1,504
no change
7 Aug 2026, 14:55
1,504
first reading
Engagement
16 posts held, back to 7 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.15%
avg views ÷ 1,499 subscribers
Avg views / post
77.2
16 posts measured
Reaction rate
2.06%
reactions ÷ views · ER floor
Posts in window
16
of 16 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. It is computed over the 6 of 16 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
16 (7 August 2026 – 7 August 2026)
Views total
1,235
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:46 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.
Reaction mix
10 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
5
50.0%
❤
4
40.0%
👏
1
10.0%
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 6 of the 16 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 7 August 2026 to 7 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.
🔵🇹🇷DMM’den Mekke Ortak Savunma Anlaşması açıklaması: NATO ile çelişmiyor
🔸Dezenformasyonla Mücadele Merkezi: "Sosyal medya platformlarında yer alan "Türkiye, 🇸🇦Suudi Arabistan ve 🇵🇰Pakistan arasında imzalanan Mekke Ortak Savunma Anlaşması'nın NATO'nun 5. maddesiyle çeliştiği
🔗 Twitter'da gör
🔵🇹🇷AKINCI TİHA'dan atılan ALPAGUT Akıllı Dolanan Mühimmat sabit kara hedefini tam isabetle vurdu.
📎@BaykarTech🤝@roketsan🤝@STMDefence
🎥 Video için: Twitter'da gör
🛡️🇮🇷İran'dan 🇹🇷🇸🇦🇵🇰Ortak Savunma Anlaşması'na: “Suudilere güvenlik getirmeyecek”
🔸İran Meclisi Ulusal Güvenlik ve Dış Politikalar Komisyonu Sözcüsü İbrahim Rızai: "Suudiler, Türkiye ve Pakistan ile yapılan kağıt üzerindeki anlaşmanın onlara güvenlik getirmeyeceğini bilmelidir;
🔗 Twitter'da gör
🛡️🇹🇷TEI bünyesinde yürütülen, fikri ve sınai hakları SSB'ye ait olan TF35000, TS3000 motor projeleri, malzeme geliştirme çalışmaları ile TRMOTOR bünyesinde yürütülen yardımcı güç ünitesi ve motor programları, TRMOTOR'un yeni unvanı olan "TEI TEKNOLOJİ" çatısı altında yeniden
🔗 Twitter'da gör
🔴🇹🇷Türk havacılık motorlarında yeni dönem: TEI TEKNOLOJİ
🔸Türkiye'nin özgün havacılık motoru geliştirme faaliyetleri, yeni organizasyon modeli kapsamında TEI TEKNOLOJİ çatısı altında birleştirilecek.
🔸TF35000, TS3000 ve yardımcı güç ünitesi programları, mühendislik
🔗 Twitter'da gör
🛡️Gerçekleştirilen görüşmede, 🇹🇷Savunma Sanayii Başkanlığı öncülüğünde yürütülen OTAĞ çalışmaları ile Millî Yetkinlik Hamlesi kapsamında sürdürülen faaliyetler ele alındı.
🔸Görüşmede ayrıca Erzurum Teknik Üniversitesinin akademik birikimi ve yetkinliklerinin savunma sanayii
🔗 Twitter'da gör
🔵🇹🇷SSB'den Erzurum Teknik Üniversitesi’ne ziyaret
🔸Savunma Sanayii Başkanı Prof. Dr. Haluk Görgün, Erzurum Teknik Üniversitesi’ni ziyaret ederek Rektör Prof. Dr. Bülent Çakmak ve akademisyenlerle bir araya geldi.
🔸Görüşmede, savunma sanayiine yönelik yeni iş birliği
🔗 Twitter'da gör
🔵🇮🇷İran operasyonunun faturası 🇮🇱Mossad'a çıktı
🔸İran Savaşı'nın ilk aşamalarında İran rejimini devirmeye yönelik planın başarısızlıkla sonuçlanmasının ardından, Mossad'ın İstihbarat Dairesi Başkanı ile İran Masası Başkanı'nın görevlerinden alındığı aktarıldı.
📋N12
🔗 Twitter'da gör
🛡️🇹🇷Cumhurbaşkanı Recep Tayyip Erdoğan, 🇸🇦Suudi Arabistan Veliaht Prensi Muhammed bin Selman ve🇵🇰Pakistan Başbakanı Şahbaz Şerif, Ortak Savunma Anlaşması'nın imzalanmasının ardından Mekke'deki Mescid-i Haram'da cuma namazı kıldı.
🔗 Twitter'da gör
🛡️🇹🇷🇸🇦🇵🇰Savunma sanayiinde stratejik ortaklık
🔸Anlaşma, askeri operasyonel iş birliğinin yanı sıra savunma sanayii alanında da derin bir entegrasyon öngörüyor.
🔸Üç ülkenin askeri birimlerinin birlikte çalışabilirliğini geliştirmeyi amaçlayan düzenleme, bölgesel istikrarı
🔗 Twitter'da gör
Showing the 12 most recent of 16 posts we hold for @defenceturk. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@defenceturk named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@stmdefence named in 1 post, 8 August 2026 – 8 August 2026
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Defence Turk 🇹🇷” (@defenceturk), 1,499 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/defenceturk.
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.