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Channel

T3 VAKFI

@TurkiyeTeknolojiTakimi

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

6,347subscribers

-126 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001250746222
TypeChannel
Username@TurkiyeTeknolojiTakimi
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/TurkiyeTeknolojiTakimi

Topic

Technology — 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 97% 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.

Growth

6,3476,4786,412.57 August 2026 — 6,473 subscribers8 August 2026 — 6,474 subscribers11 August 2026 — 6,478 subscribers15 August 2026 — 6,472 subscribers18 August 2026 — 6,474 subscribers22 August 2026 — 6,471 subscribers27 August 2026 — 6,462 subscribers30 August 2026 — 6,460 subscribers2 September 2026 — 6,456 subscribers6 September 2026 — 6,444 subscribers11 September 2026 — 6,434 subscribers14 September 2026 — 6,433 subscribers19 September 2026 — 6,430 subscribers29 September 2026 — 6,435 subscribers6 October 2026 — 6,414 subscribers13 October 2026 — 6,399 subscribers16 October 2026 — 6,385 subscribers19 October 2026 — 6,383 subscribers22 October 2026 — 6,372 subscribers25 October 2026 — 6,366 subscribers29 October 2026 — 6,365 subscribers31 October 2026 — 6,359 subscribers4 November 2026 — 6,355 subscribers7 November 2026 — 6,347 subscribers7 August 20267 November 2026
24 measurements spanning 92 days, net -126. 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 6,327–6,498 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
7 Nov 2026, 09:396,347-8
4 Nov 2026, 05:076,355-4
31 Oct 2026, 21:046,359-6
29 Oct 2026, 03:186,365-1
25 Oct 2026, 17:466,366-6
22 Oct 2026, 15:556,372-11
19 Oct 2026, 18:506,383-2
16 Oct 2026, 19:286,385-14
13 Oct 2026, 08:406,399-15
6 Oct 2026, 19:376,414-21
29 Sept 2026, 18:166,435+5
19 Sept 2026, 11:016,430-3
14 Sept 2026, 19:206,433-1
11 Sept 2026, 06:576,434-10
6 Sept 2026, 06:006,444-12
2 Sept 2026, 07:026,456-4
30 Aug 2026, 12:056,460-2
27 Aug 2026, 22:236,462-9
22 Aug 2026, 10:586,471-3
18 Aug 2026, 20:556,474first reading

Engagement

29 posts held, back to 30 July 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.45%
avg views ÷ 6,347 subscribers
Avg views / post
346
15 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
15
of 29 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 6 November 2026
Posts held29 (30 July 2026 – 6 November 2026)
Views total5,186
Reactions total94
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 13:23 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

Video runtime
9m 59s
Average length
1m 00s

Measured directly from 10 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

217 reactions across 29 posts, in 6 distinct kinds. The most used accounts for 90.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19690.3%
👍146.45%
😍41.84%
👎10.461%
👏10.461%
🥰10.461%

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 29 of the 29 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 217 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 30 July 2026 to 6 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) 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).

6 Nov 2026, 08:04 UTC138 views3 reactionsread 6 November 2026
Photo

🚀 İHA teknolojilerini keşfetmeye hazır mısınız? Mekanik, elektronik ve yazılım altyapısından uçuş kontrol sistemlerine; gerçek donanımlarla İHA montajı, sistem entegrasyonu ve kalibrasyon deneyimine uzanan uygulamalı bir eğitim sizleri bekliyor! ✈️ 📅 Tarih: 9-13 Kasım 2026 ⏰ Saat: 09.00-12.30 / 13.30-17.00 📍 Yer: Bilim Ümraniye 🔗 Başvuru: https://mth.tc/bilimumraniyeiha

❤3

6 Nov 2026, 06:28 UTC153 views2 reactionsread 6 November 2026
Photo

Geleceğine uzanan yolculuğunda Vazife’ni üstlenmek için son 3 gün 🚀 Özdemir Bayraktar Milli Teknoloji Burs Programı ile kendini geliştir, yeni deneyimler kazan ve Milli Teknoloji Hamlesi’nin bir parçası ol. 📌 Son Başvuru: 8 Kasım 2026 🔗 Başvuru için: bursiyer.t3vakfi.org

❤2

5 Nov 2026, 16:30 UTC225 views7 reactionsread 6 November 2026
Video

#T3Söyleşileri'nde Prof. Dr. Oytun Erbaş’ı ağırladık. “Vicdan ve Ahlak Beyinde midir?” sorusunu tartıştığımız söyleşimizde ahlakın ve vicdanın oluşumunu, beynin insan davranışları üzerindeki etkisini ve kültürün ahlaki değerlerle ilişkisini ele aldık 🧠

❤6👍1

3 Nov 2026, 15:04 UTC329 views9 reactionsread 6 November 2026
Video

Konu evren olunca sohbet de genişliyor 💫 “Fizik Felsefesi: Parçacık Fiziğinden Evreni Anlamlandırmaya” başlıklı söyleşinin ardından konuğumuz Prof. Dr. Enis Doko ile günü değerlendirdik. ❝Dolayısıyla çok güzel bir beyin fırtınası yaşadık. Bu buluşma, hem bilimi kavrayan hem de eleştirel düşünerek onu kültürümüzle yoğuran bir gençliğin yetişmesine katkı sunuyor.❞

❤6👍3

3 Nov 2026, 12:54 UTC342 views12 reactionsread 6 November 2026
Photo

Şimdi söz sırası gençlerde 📣 Bursiyerimiz ve İTÜ TEKNOFEST Topluluğu Başkanı Hüseyin Atakan Kubat, iklim sorunlarını tartışmak ve çözüm arayışlarına katkı sunmak için COP31’de gençlerin sesi olacak. 🇹🇷 COP31 Gençlik ve İklim Elçisi olarak atanan Kubat’ı tebrik ediyoruz!

❤9👍2👏1

1 Nov 2026, 12:12 UTC430 views13 reactionsread 6 November 2026
Photo

📣 #T3Söyleşileri Serimizin Yeni Konuğu Prof.Dr. Oytun Erbaş❗️ 📕 Konu: "Vicdan ve Ahlak Beyinde midir?” 🗓 4 Kasım 2026 - Çarşamba ⏰ 19.00 📍 Marmara Üniversitesi İlahiyat Fakültesi I Prof. Dr. Raşit Küçük Konferans Salonu 👉 Kayıt için: https://mth.tc/T3Soylesileri11 *Not: Kontenjan sınırlıdır.

❤10👍2👎1

1 Nov 2026, 08:20 UTC364 views7 reactionsread 6 November 2026
Video

Gelecek Kanatlarında! FPV Dron Akademisi’nde yeni dönem başvuruları için son gün 🚀 FPV dron tutkunuzu eğitmenliğe taşıyın, yeni pilotların yetişmesine siz de rehberlik edin! 📍 İstanbul | Ankara | İzmir | Antalya | Samsun | Erzurum | Gaziantep Başvuruları kaçırma, gökyüzündeki yerini al ⏳ 🔗 Başvuru için: https://mth.tc/t3fpvegitmenegitimi

❤6👍1

31 Oct 2026, 18:24 UTC356 views6 reactionsread 6 November 2026
Photo

COP31 İklim Teknolojileri Creathonu’nda büyük ödüller seni bekliyor 🏆 İklim ve sürdürülebilirlik alanındaki yenilikçi fikrini ortaya koy, birbirinden değerli ödülleri kazanma fırsatını yakala! Son Başvuru Tarihi: 2 Kasım 2026 🔗 Başvuru ve Detaylar: https://mth.tc/COP31Creathonu Geleceğe iz bırakacak çözümler üretmek için sen de başvur! *** Compete for valuable prizes at the COP31 Creathon. 🏆 Share your innovat…

❤6

31 Oct 2026, 16:53 UTC326 views8 reactionsread 6 November 2026
Video

33. merkezimiz Bilim Taşkent ile Bilim Türkiye ağımız artık 7 ülkede 🚀 Bilim Taşkent’te matematikten yapay zekaya uzanan 8 farklı atölyede gençler fikirlerini geliştiriyor, deneyip keşfediyor. Türkiye ile Özbekistan arasındaki dostluk, şimdi aynı atölyede birlikte üretmenin heyecanıyla büyüyor 🇹🇷🤝🇺🇿

❤7👍1

31 Oct 2026, 07:00 UTC364 views4 reactionsread 6 November 2026
Photo

🚀 İHA teknolojilerini keşfetmeye hazır mısınız? Mekanik, elektronik ve yazılım altyapısından uçuş kontrol sistemlerine; gerçek donanımlarla İHA montajı, sistem entegrasyonu ve kalibrasyon deneyimine uzanan uygulamalı bir eğitim sizleri bekliyor! ✈️ Kimler Başvurabilir? 📚Lise ve üniversite öğrencileri Eğitim Süresi: 5 gün İHA teknolojilerini yakından tanımak ve uygulamalı eğitimlere katılmak için başvurularınızı b…

❤4

30 Oct 2026, 09:01 UTC400 views4 reactionsread 6 November 2026
Photo

T3 İnsansız Deniz Aracı Eğitimleri devam ediyor! Teknoloji Atölyeleri'nde gerçekleştirilecek 5 günlük, 20 saatlik eğitim programında mekanik, elektronik ve yazılım alanlarında teorik ve uygulamalı eğitimler seni bekliyor. Lise ve üniversite seviyesindeki öğrencilerin katılabileceği programın son gününde ise insansız deniz aracımızı yüzdüreceğiz! 📌 Başvuru: https://mth.tc/t3teknolojidaegitimi

❤3👍1

29 Oct 2026, 16:06 UTC425 views5 reactionsread 6 November 2026
Video

İlk uçuş, ilk heyecan ve her denemede yeni bir başarı 🚀 FPV Dron Akademisi’nde teoriden pratiğe uzanan eğitimlerle dron teknolojilerini keşfet, uçuş becerilerini geliştir ve sınırları zorla! Geleceğin teknolojilerinde yerini al! 🔗 Başvuru için: https://mth.tc/t3fpvegitmenegitimi @tubitak 🤝 @saha_istanbul 🤝 @shgmresmi #MilliTeknolojiHamlesi 🇹🇷

❤5

Showing the 12 most recent of 29 posts we hold for @TurkiyeTeknolojiTakimi. 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.

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

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.

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.

Anadolu Ajansı
@anadoluajansi · 21,818
Telegram ranks this channel #77 of 87 here — alongside 86 others — read 22 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“T3 VAKFI” (@TurkiyeTeknolojiTakimi), 6,347 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/TurkiyeTeknolojiTakimi.

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.