همین دیگه شبتون بخیررر🫴💘🌚
💋11❤4

Channel
@Riraenglish2020
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
177subscribers
-8 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003807116690 |
|---|---|
| Type | Channel |
| Username | @Riraenglish2020 |
| Created | 28 August 2026 — measured — dated from the channel’s first post |
| First recorded | 29 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Riraenglish2020 |
Education — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 01:37 | 177 | -9 |
| 8 Sept 2026, 21:18 | 186 | -16 |
| 29 Aug 2026, 16:57 | 202 | +17 |
| 29 Aug 2026, 06:45 | 185 | first reading |
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 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 28 August 2026 |
|---|---|
| Posts held | 20 (28 August 2026 – 28 August 2026) |
| Views total | 2,440 |
| Reactions total | 288 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 06:45 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.
288 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 49.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 142 | 49.3% | |
| 💋 | 70 | 24.3% | |
| 🔥 | 52 | 18.1% | |
| 🍓 | 7 | 2.43% | |
| 🤪 | 4 | 1.39% | |
| ✍ | 3 | 1.04% | |
| ❤🔥 | 3 | 1.04% | |
| 💅 | 3 | 1.04% | |
| 💘 | 1 | 0.347% | |
| 😁 | 1 | 0.347% | |
| 😭 | 1 | 0.347% | |
| 🦄 | 1 | 0.347% |
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 19 of the 20 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 288 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 August 2026 to 28 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.
همین دیگه شبتون بخیررر🫴💘🌚
💋11❤4
Listening 💘 برای امشب من قراره چند تا از کانال های پادکست انگلیسی رو معرفی کنم که شاید بدردتون بخوره و بتونین ازش استفاده کنین:) Listening time:English practice All ears English podcast Learning easy English این کانال پادکست هارو میتونید از cast box استفاده کنین:)✨ برای قوی تر شدن مهارت شنیداری هم اول میتونید داخل همون cast box Slow English podcast رو سرچ کنید و داخل روز و هنگام انجام روتین و کارهای روزانه بهشون گوش …
❤10💋2
اینم از مبحث حال ساده:)
💋8✍3❤2
۱.does not و do not رو میتونین مخفف کنید که به شکل Doesn't و Don't در میان👾 ۲.حال ساده برای روتین هم استفاده میشه🦦 یعنی همون کارایی که به صورت عادت انجام میدین به عنوان مثال به متن زیر نگاه کنین:) Every morning,I wake up at 7 I get up at 7:15 I make my bed Wash my face Brush my teeth Do my skincare Stretch for 10 minutes And eat break fast هرروز صبح ساعت ۷ از خواب پامیشم و ۷و ربع از جا بلند میشم(wake up یعنی همون چش…
❤8💋2
بخش آخر : یه سری نکته اضافی و جمع بندی 👀
❤6💋1
برای ساختار منفی باید به اون ساختار مثبته 🦦 یعنی همون Subject + base verb+.... یه منفی ساز اضافه کنی:) که اون Do/does + not هستش (تو پرانتز بگم که do/does افعال کمکی ان:)) باز برا فعل کمکی باید He She It does not رو براشون بذاری🌚 و do not برای بقیه ی فاعل ها ان پس مثال: She does not study today! اون دختر یا خانوم امروز درس نمیخونه! I don't go shopping at bazar من برای خرید کردن به بازار نمیرم!
❤7💋1
بخش پنجم:ساختار منفی گرامر حال ساده:
❤7💋1
خب تا اینجا ما یه سری نکات ریز که باید داخل گرامر جا میشد فهمیدیم:) حالا میریم سراغ خود گرامر🫴 حال ساده ی مثبت: ساختارش رو فهمیدیم! حالا مثالش I go shopping من به خرید می روم👜 You work at a hospital تو داخل یه بیمارستان کار میکنی🥼 She wear sweater on rainy days اون دختر یا خانوم در روز های بارانی پلیور میپوشه🧶
❤8💋2
بخش چهارم: برگشتن به گرامر حال ساده و مثال های فراواننن:
💋6❤3💅1
توی این بخش که یه بخش پرانتزیه در واقع و خب اضافه س😂 قراره ربط این دوتا رو بهم داشته باشیم چه ربطی دارن بهم؟ اینکه شما باید بدونی برای چه فاعلی چجوری فعلش رو استفاده کنی✨ یعنی همون بحث s فاعلی این بحث یا بهتره بگم قانون برای He She It صدق میکنه یعنی شما به جای She go❌ باید بنویسی She goes✅ مثل He studies lab science اون پسر یا اقا علوم آزمایشگاهی میخونه!:)
❤7💋3💅1
بخش سوم:ربط افعال و فاعل ها!
❤6💋3🍓2
فعل یعنی انجام دادن کار یا روی دادن یه حالت! حالا ما داخل زبان انگلیسی چند نوع فعل داریم مثل: افعال اصلی(main verbs) افعال کمکی(auxiliary verbs) افعال مدال (modal verbs) افعال ربطی(linking verbs) و... ولی ما اینجا با main verb یا base verb کار داریم فعلی که هیچ گونه حرفی نگرفته مثل ing یا اینکه گذشته باشه هیچیِ هیچی🌚🌸 مثل Study Go Ride Eat و...
❤10💋4
Showing the 12 most recent of 20 posts we hold for @Riraenglish2020. 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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“English time” (@Riraenglish2020), 177 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Riraenglish2020.
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.