🍞 EKMEK NEDEN FARKLI MARKALARDA AYNI TADA YAKIN OLUR? Bunun nedeni: • Standart un karışımları • Endüstriyel katkılar • Aroma ve kıvam düzenleyiciler Kullanılan formül benzer olduğunda tat da benzer olur. 📌 Farklı marka, aynı üretim mantığı olabilir. @gidadedektifiTR

Channel
Gıda Dedektifi
@gidadedektifiTR
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,317subscribers
+4 since we began measuring on 16 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001528747291 |
|---|---|
| Type | Channel |
| Username | @gidadedektifiTR |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 September 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/gidadedektifiTR |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 19:59 | 1,317 | +5 |
| 18 Sept 2026, 04:00 | 1,312 | -1 |
| 16 Sept 2026, 16:22 | 1,313 | no change |
| 16 Sept 2026, 15:47 | 1,313 | first reading |
Engagement
19 posts held, back to 29 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.11%
- avg views ÷ 1,317 subscribers
- Avg views / post
- 120
- 18 posts measured
- Reaction rate
- 1.37%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 19 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 10 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 19 (29 August 2026 – 16 September 2026) |
| Views total | 2,159 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Sept 2026, 16:22 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
- 1m 00s
- Average length
- 1m 00s
Measured directly from 1 video 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
22 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 54.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 12 | 54.5% | |
| ❤ | 3 | 13.6% | |
| 🤬 | 3 | 13.6% | |
| 💯 | 1 | 4.55% | |
| 😢 | 1 | 4.55% | |
| 🤔 | 1 | 4.55% | |
| 🤡 | 1 | 4.55% |
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 11 of the 19 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 29 August 2026 to 16 September 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
Gıda Dedektifi Mobil uygulamasına marketlerden gıda dışı ürünlerle ilgili şikayetler de geliyor: "Migros'ta yaprak temizleyici olarak satışa sunulan ürünün tarihi bir buçuk yıl önce geçmiş fakat satmaya devam ediyorlar."
Posted without readable text
🧀 “DİLİM PEYNİR” NEDEN ERİYEN YAPIDADIR? Dilim peynirler: • Eritme tuzları içerir • Stabil yapıdadır • Isıya dayanıklıdır Bu yüzden: • Sandviçte uzar • Tostta erir ama dağılmaz 📌 Bu davranış doğal peynirden farklıdır. @gidadedektifiTR
👍1
Tarım ve Orman Bakanlığı'nın TRT aracılığıyla "yeni bir sisteme geçiliyor" diye duyurduğu STT ve TETT farklılığını yıllardır milyonlara aktarıyoruz. Dahası, yapılan haberlerde bakanlık personelleri maalesef eksik bilgi vermeye devam ediyor, "tavsiye edilen tüketim tarihi geçmiş ürünler raflarda satılabilir" diyor. Oysa, bu konuda mevzuat düzenlemesi çok net ve kılavuza uyulması gerekiyor: TETT geçmiş ürünler marketle…
👍4
🧃 “ZERO ŞEKER” ÜRÜNLER NEDEN DAHA ÇOK İÇİLİR? Şeker yoktur ama tat vardır. Bunun nedeni: • Tatlandırıcıların yoğun algı etkisi • Beynin “tatlı beklentisi” Bu yüzden: • Daha fazla tüketim eğilimi oluşabilir 📌 Kalori azalabilir ama tüketim davranışı değişir. @gidadedektifiTR
❤1
Tarım Kredi tarafından fason olarak üretilerek Şok marketlerde satılan Mis Çilekli Yoğurt %9 oranında çilek içeriyor. Üründe ayrıca; Sofra şekeri, Modifiye nişasta, Stabilizör, Asitlik Düzenleyici ve içeriği beyan edilmeyen aroma verici bulunuyor.
🤬3
🍗 TAVUK ETİNDE “SİSTEM İŞLEMİ” NE ANLAMA GELİR? Bazı üretimlerde et: • Marinasyon • Tuzlu çözelti • Su bazlı sistemlere alınır Bu işlem: • Ağırlık artırabilir • Doku değiştirebilir 📌 Et sadece et değildir, işleme süreci de önemlidir. @gidadedektifiTR
👍2
Yeni gıda firması olan Almanya merkezli Formo. Firmanın geliştirdiği fermantasyon teknolojisiyle hayvansız süt proteinleri üreten Formo'nun hedefi, tamamen ineksiz ama geleneksel peynir lezzetinde peynirler üretmek olarak açıklanıyor.
🤔1
🥛 SÜTÜN “HOMOJENİZE” OLMASI NE DEMEK? Homojenizasyon: • Yağ parçacıklarını küçültme işlemidir • Sütün üstte kaymak yapmasını engeller Sonuç: • Daha pürüzsüz yapı • Daha stabil görünüm 📌 Doğal yapı teknik olarak değiştirilir. @gidadedektifiTR
🍫 ÇİKOLATADA “KAKAO ORANI %70” NEYİ GÖSTERİR? Bu oran: • Kakao kitlesi + kakao yağı toplamıdır Ama kalan %30: • Şeker • Aroma • Emülgatör olabilir 📌 Yüksek kakao oranı, düşük şeker anlamına gelir ama tam saflık değildir. @gidadedektifiTR
adece et değil, genetiği değiştirilmiş mantarlarla üretilen ürünler de "yeni gıda" tanımına girmektedir. ABD merkezli Perfect Day firması, genetiği değiştirilmiş mantarlarla, ineklere ihtiyaç duymadan (!) ürettiği peyniraltı suyu proteini ile çeşitli gıdalar piyasaya sunuyor.
🤡1
Showing the 12 most recent of 19 posts we hold for @gidadedektifiTR. 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
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.
Mentions
Named by 1 registered channel — 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.
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.
@haberinizolsungangalargrubu · 24,076
Telegram ranks this channel #53 of 67 here — alongside 66 others — read 16 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Gıda Dedektifi” (@gidadedektifiTR), 1,317 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/gidadedektifiTR.
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.