📖 VocabularyPart 2 ━━━━━━━━━━━━━━ 👧 Une fille یک دختر 7️⃣ Sept هفت 👩 Une femme یک زن 👶 Un bébé یک نوزاد 🔑 Douze clés دوازده کلید 6️⃣ Six شش 👦👦 Des garçons پسرها 👩 La mère مادر ☕ Dix tasses ده فنجان 1️⃣2️⃣ Douze دوازده 🥣 Onze bols یازده کاسه 👨👩👧👦 Une famille یک خانواده 🐱 Un chat یک گربه 🔟 Dix ده 1️⃣1️⃣ Onze یازده 🎩 Neuf chapeaux نه کلاه ━━━━━━━━━━━━━━ #FrenchFreak

Channel
FrenchFreak
@lingoFrenchFreak
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,033subscribers
+9 since we began measuring on 8 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004404837359 |
|---|---|
| Type | Channel |
| Username | @lingoFrenchFreak |
| Created | Between 1 June 2026 and 28 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 September 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/lingoFrenchFreak |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 01:00 | 1,033 | +1 |
| 14 Sept 2026, 17:39 | 1,032 | +3 |
| 11 Sept 2026, 02:41 | 1,029 | +5 |
| 8 Sept 2026, 13:22 | 1,024 | first reading |
Engagement
20 posts held, back to 28 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
- 52.8%
- avg views ÷ 1,033 subscribers
- Avg views / post
- 545
- 19 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 20 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.
| Window | Rolling 30 days · latest post in window 6 September 2026 |
|---|---|
| Posts held | 20 (28 August 2026 – 6 September 2026) |
| Views total | 10,357 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 13:22 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.
Recent posts
🇫🇷 FrenchFreak 📚Rosetta Stone 📖 Level 1 • Unit 2 • Lesson 1 📖 VocabularyPart 1 ━━━━━━━━━━━━━━ 🍽️ Dix assiettes ده بشقاب 👨 Le père پدر 👶 Sept bébés هفت نوزاد 🖊️ Sept stylos هفت خودکار 9️⃣ Neuf نه 🐶 Un chien یک سگ 🐴 Un cheval یک اسب 🪑 Huit chaises هشت صندلی 8️⃣ Huit هشت 👦 Le fils پسر 0️⃣ Zéro صفر 👧 La fille دختر 👧👧 Des filles دخترها 🍎 Neuf pommes نه سیب 🌸 Onze fleurs یازده گل ⚽ Douze balles دوازده توپ 👦 Un garçon یک پس…
FrenchFreak pinned «📚 فهرست مطالب درس ۴ Level 1 • Unit 1 • Lesson 4 📌 Pronunciation #L1U1L4Pronunciation 📌 Pronunciation Tips #L1U1L4PronunciationTips 📌 Vocabulary #L1U1L4Vocabulary 📌 Phrases #L1U1L4Phrases 📌 Speaking #L1U1L4Speaking 📌 Grammar #L1U1L4Grammar ━━━━━━━━━━━━━━ 📌…»
📖 Level 1 • Unit 2 • Lesson 1 📌 PronunciationTip ━━━━━━━━━━━━━━ 🔤 تلفظ حرف A a در زبان فرانسه حرف A در زبان فرانسه معمولاً صدای صدای «اَ» میده. مثال: 🪑 table میز 🥎 balle توپ 🐴 cheval اسب ━━━━━━━━━━━━━━ #FrenchFreak
📖 Level 1 • Unit 2 • Lesson 1 📌 PronunciationTip ━━━━━━━━━━━━━━ 🔤 آکسانها در زبان فرانسه Les accents در زبان فرانسه آکسانها روی بعضی حروف قرار میگیرن و میتونن تلفظ یا معنی کلمه رو تغییر بدن. آکسانهای مهم: 🔸 é ➡️ آکسان تیز accent aigu ━━━━━━━━━━━━━━ 🔸 è / à / ù ➡️ آکسان کج به سمت چپ accent grave ━━━━━━━━━━━━━━ 🔸 ê / â / î / ô / û ➡️ آکسان کلاه accent circonflexe ━━━━━━━━━━━━━━ 🔸 ë / ï / ü ➡️ دو نقطه tréma ━━━━━━━━…
🇫🇷 FrenchFreak 📚 Rosetta Stone 📖 Level 1 • Unit 2 • Lesson 1 📌 PronunciationTip ━━━━━━━━━━━━━━ 🔤 حروف صدادار در زبان فرانسه Les voyelles در زبان فرانسه ۶ حرف صدادار اصلی داریم: 🔸 A a 🔸 E e 🔸 I i 🔸 O o 🔸 U u 🔸 Y y ━━━━━━━━━━━━━━ 📌 نکته: حرف Y در زبان فرانسه گاهی صدای صدادار داره واسه همین توی دسته حروف صدادار قرار میگیره. حروف صدادار پایهی اصلی تلفظ و خواندن کلمات فرانسوی هستن. ━━━━━━━━━━━━━━ #FrenchFreak
🇫🇷 FrenchFreak 📚 Rosetta Stone 📖 Level 1 • Unit 2 • Lesson 1 📌 Pronunciation ━━━━━━━━━━━━━━ 🚗 Une voiture ☕ Dix tasse 🍚 Du riz 👕🔴 Un chemisière rouge 🍽️ Il mange 👨👩👧👦 Des parents 👋 Mon ami 🎂 Elle a un ans 👩👧👦 Une femme et ses enfants 👨👩👧👦 Ce sont nos enfants ━━━━━━━━━━━━━━ #FrenchFreak
🇫🇷 FrenchFreak 📚 Rosetta Stone 📖 Level 1 • Unit 2 • Lesson 1 ━━━━━━━━━━━━━━ 🚀 شروع Unit 2! 🇫🇷 یونیت اول تموم شد و حالا وارد Unit 2 میشیم. 🎉 از اینجا به بعد، مطالب هر درس رو یکجا و در کنار هم یاد میگیریم؛ واژگان، جملههای کاربردی، گرامر، تلفظ و مکالمه، همگی در قالب یک درس کامل و منظم. 📚✨ ━━━━━━━━━━━━━━ 🇫🇷 Unit 2 • Lesson 1 خب، بریم سراغ درس اول! 🔥 Prêts ? Allons-y ! 🇫🇷 آمادهاید؟ بریم! ━━━━━━━━━━━━━━ #FrenchFreak #L
📚 فهرست مطالب درس ۴ Level 1 • Unit 1 • Lesson 4 📌 Pronunciation #L1U1L4Pronunciation 📌 Pronunciation Tips #L1U1L4PronunciationTips 📌 Vocabulary #L1U1L4Vocabulary 📌 Phrases #L1U1L4Phrases 📌 Speaking #L1U1L4Speaking 📌 Grammar #L1U1L4Grammar ━━━━━━━━━━━━━━ 📌 هشتگ درس ۱ #L1U1L1 📌 هشتگ درس ۲ #L1U1L2 📌 هشتگ درس ۳ #L1U1L3 📌 هشتگ درس ۴ #L1U1L4 ━━━━━━━━━━━━━━ 🔎 برای پیدا کردن هر بخش کافیه روی نام همان بخش بزنید یا نام هشتگ را…
📖 Grammar ━━━━━━━━━━━━━━ 👕 صرف فعل Porter (پوشیدن / حمل کردن) 📌 فعل Porter یک فعل باقاعده (ER-) است. این برای برای زمانی که بخوایم بگیم در زمان حال چی پوشیدیم هم استفاده میشه. Je porte Tu portes Il / Elle porte Nous portons Vous portez Ils / Elles portent ━━━━━━━━━━━━━━ 📌 نکته: توی این درس porter برای لباس پوشیدن استفاده میشه. Nous portons un chapeau. ما کلاه پوشیدیم. ━━━━━━━━━━━━━━ #FrenchFreak
📖 Grammar ━━━━━━━━━━━━━━ 🛍️ صرف فعل Acheter (خریدن) 📌فعل Acheter یک فعل باقاعده (ER-) است، اما در بعضی صرفها تغییر تلفظ دارد. J'achète Tu achètes Il / Elle achète Nous achetons Vous achetez Ils / Elles achètent ━━━━━━━━━━━━━━ 📌 نکته تلفظ: در بعضی صرفهای فعل acheter، حرف e به è تغییر میکند. این تغییر باعث میشود صدای e شبیه «اِ باز» تبدیل شود. مثال: acheter → اَشته j'achète → ژَشِت این تغییر در: ✅ J'achète ✅ Il / E…
📖 Grammar ━━━━━━━━━━━━━━ 🔢 ساختار سؤال با Combien de (چند تا؟) عبارت Combien de یعنی چند تا / چه تعداد و برای پرسیدن تعداد چیزی استفاده میشود. 🔹 ساختار: Combien de + فاعل + فعل + اسم جمع? ━━━━━━━━━━━━━━ مثالهای درس: ☕ Combien de tasses avez-vous ? 🇮🇷 چند فنجان دارید؟ 🥣 Combien de bols avez-vous ? 🇮🇷 چند کاسه دارید؟ 🍽️ Combien d'assiettes avez-vous ? 🇮🇷 چند بشقاب دارید؟ 🥪 Combien de sandwichs avez-vous ? 🇮🇷 چند ساند…
Showing the 12 most recent of 20 posts we hold for @lingoFrenchFreak. 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
Named by 2 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.
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.
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.
“FrenchFreak” (@lingoFrenchFreak), 1,033 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/lingoFrenchFreak.
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.