🔴10,000هزار ساعت آموزش تخصصی روانشناسی ✅ همراه با مدرک دانشگاه علوم پزشکی ایران 👇👇👇 https://t.me/rooeen_ravan 🌱مثل بلبل انگلیسی صحبت کن ❍@grobp1 🌱شروع مطالعه برای کنکور ارشد روانشناسی ❍@ravantajj 🌱آرشیو کتاب ❍@kabuluniversitybooks 🌱جذب روانشناس ❍@psycho_estekhdam 🌱حفظ "لغات 504" در 25 روز ❍@englishmarya 🌱جذب جنس مخالف بااسرارروانشناسی ❍@psychology_gazor 🌱چگونه اعتماد به نفس خود را تقویت کنیم ❍@goftemanc…

Channel
Enjoy English | آموزش زبان انگلیسی
@teaching_english_vip
On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry
4,860subscribers
-32 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 | -1001652719512 |
|---|---|
| Type | Channel |
| Username | @teaching_english_vip |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/teaching_english_vip |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 22:25 | 4,860 | -11 |
| 13 Aug 2026, 15:26 | 4,871 | -12 |
| 10 Aug 2026, 22:21 | 4,883 | -9 |
| 7 Aug 2026, 11:16 | 4,892 | no change |
| 7 Aug 2026, 11:04 | 4,892 | first reading |
Engagement
23 posts held, back to 9 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.54%
- avg views ÷ 4,860 subscribers
- Avg views / post
- 221
- 14 posts measured
- Reaction rate
- 2.22%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 23 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 23 (9 July 2026 – 11 August 2026) |
| Views total | 3,088 |
| Reactions total | 59 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 05:10 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
112 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 47.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 53 | 47.3% | |
| ❤ | 29 | 25.9% | |
| 👌 | 14 | 12.5% | |
| 👎 | 12 | 10.7% | |
| 🍓 | 4 | 3.57% |
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 23 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 112reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 9 July 2026 to 11 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.
Recent posts
✨ "apples and oranges" ✨ ⭕️يك اصطلاح انگلیسی است، نه فقط نام دو ميوه. ‼️معنى آن: «دو چیز كاملاً متفاوت كه نمى شود با هم مقايسه شان كرد.» 🌀مثال: You can't compare apples and oranges. نمى توان دو جيز كاملاً متفاوت را با هم مقايسه كرد. ___________________ بازم اصطلاحات جدید بزارم؟👍🏻👎🏻 ✨🩶@teaching_english_vip
👍4
✨اصطلاح 𝐀𝐩𝐩𝐥𝐞𝐬 🍎 𝐚𝐧𝐝 𝐨𝐫𝐚𝐧𝐠𝐞𝐬 🍊 روشنیدی؟ Yes 👍🏻 No 👎🏻
👎9👍3
#اصطلاح 🔘Wet خیس،مرطوب 🔘Blanket پتو ☑️𝐖𝐞𝐭 𝐛𝐥𝐚𝐧𝐤𝐞𝐭 ادم ضد حال 👍🏻 𝐨𝐫👎🏻 @teaching_english_vip
👍7❤2
Video message, posted without a caption
⭕️ویس بالارو گوش کن و پست زیر رو دقت کن #گرامر #پلهبهپله 🍀وقتی میخای بگی قبلا یه عادتی داشتی ولی الان ترکش کردی از ساختار زیر استفاده میکنی I used to +شکل ساده فعل مثال: I used to go to the gym قبلا میرفتم باشگاه (الان دیگه نمیرم) __________________ اموزش مفید بود؟👍🏻👎🏻 @teaching_english_vip #انگلیسی #کلاسهایانلاین
👍3
File, posted without a caption
اصلا کاری ب سطح زبانت ندارم !😕 ✖️جمله زیر رو بخون 👉🏻20days اگر جمله بالارو ،بیست daysخوندی ،لایک کن😆🩵👍🏻 @teaching_english_vip
👍4❤2👎2
#اصطلاح_انگلیسی 🍀✌🏻 🎄stay out of it دخالت نکن 🎄dont get smart زرنگ بازی درنیار 🎄whats your point? منظورت چیه 🎄thats rich این دیگه نوبرشه 🎄keep it to yourself بین خودمون بمونه ___________________ حفظ کن و 👍🏻کن ... #ریاکشنپستاخیلیکمشده🥺 @teaching_english_vip
👍4❤1
تاوانش رو پس میدی☺️✌🏻 🛑یه ساختار خفننن👇 ⭕️You'll pay for... تاوان فلان کار رو پس میدی... مثال: ✨You will pay for your disrespect. تاوان بی احترامیت رو پس میدی. ✨You will pay for your this behavior. تاوان این رفتارت رو پس میدی. ✨You will pay for your mistake. تاوان اشتباهت رو پس میدی. ✨You will pay for your offense. تاوان توهینت رو پس میدی. ___________________ خودم این اصطلاح رو خیلی دوس دارم 🙃 #لایکیادتنره✨🩷 …
👌3❤1
‼️حالا با توجه به توضیح بالا به کوییز زیر جواب بده👇🏻 Everyone knows what it is .... to cheat on the exam ! هرکسی میدونه تقلب کردن تو امتحان اشتباهه!
- Wrong79%
- False21%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
✨تفاوت False و wrong #لایکیادتنره🙏🏻💙 ⭕️هر دو كلمه به معنى "غلط، اشتباه، نادرست،.." هستن ودر موارد زيادى در صحبت كردن، به جاى همديکه استفاده ميشن ولى در مواردى #تفاوت دارن! 🔴𝐖𝐫𝐨𝐧𝐠 نادرست اشاره دارد به جيزى كه نادرست باشد به ويژه ازجنبه اخلاقی! 🔻مثال: • It's wrong to ignore someone who asks for help. اين نادرسته كه كسى كه از ما درخواست كمك مى كنه رو نادیده بگیریم. 🔴𝐅𝐚𝐥𝐬𝐞 اشتباه اشاره دارد به چیزی كه واقعيت نداشته…
👌3
Showing the 12 most recent of 23 posts we hold for @teaching_english_vip. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
‼️حالا با توجه به توضیح بالا به کوییز زیر جواب بده👇🏻 Everyone knows what it is .... to cheat on the exam ! هرکسی میدونه تقلب کردن تو امتحان اشتباهه!
- Wrong79%
- False21%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 23 most recent posts we hold, published 9 July 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 234,573 of 1,549,704entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
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 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@advertising110 · 132 postsEnglishmarya
@EnglishMarya · 14,8942 posts👣وارثان فروید👣
@nadidparid · 10,1322 postsروانشناسی /کودک ونوجوان
@Psycho_Child · 13,2732 postsقصه صوتی کودک | لیلا طوفانی
@qessekoodak · 5,3262 postsنم نم باران!
@ALightRain · 4,9881 postAraz Turkçe 🇹🇷
@ArazTurkish · 10,2421 postانگلیسی آسان Easy English
@asSimpleasABC · 8,1271 postانگلیسی کودکان و نوجوانان
@EnglishKidsEnglish · 8,8011 postENGLISH GRAMMAR
@grammarfad · 17,4661 postEnglish Learning
@grobP1 · 26,9981 postHoonam language academy
@HLAsari · 11,8931 postارتباط بــدون خشونت
@leilamaher1psychologist · 6,7551 post𝗠𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗼𝗿 𝗘𝗻𝗴𝗹𝗶𝘀𝗵
@MindsetforEnglish · 6,4331 postپندار
@pendarcln · 6,1551 postنادیه زارعی | روانشناس
@psy_nadiehzareei · 16,3261 postاستخدام روانشناس
@psycho_estekhdam · 17,3651 postQuiz only | کوییز انگلیسی
@quizz_onlyy · 5771 postروان یار
@Ravaan_Yaar · 9,9041 postروانشناسی | راه سبز
@ravanshenasi_rahesabz · 6,0331 postکنکور ارشد و دکتری روانشناسی (آکادمی روانتاج 👑)
@RavanTajj · 21,8741 postحسن عالیشاه روانشناس
@roshanapsychology · 8,0671 postتربیت فرزند
@tarbi · 8,1921 postذهن آگاهی
@zehnagaheman · 8,7931 post
Names
Channels on the register whose handles appear in this channel's posts.
@AramaAcademy · 4,9481 postAraz Turkçe 🇹🇷
@ArazTurkish · 10,2421 postانگلیسی آسان Easy English
@asSimpleasABC · 8,1271 postچاوان♡
@chavan0057 · 2,1941 postدرمان تخصصی کودکان
@childrentherapy · 12,0481 postانگلیسی کودکان و نوجوانان
@EnglishKidsEnglish · 8,8011 postEnglishmarya
@EnglishMarya · 14,8941 post😍انگلیسی از صفر تا صد "ماریا"😍
@engmarya_k · 25,9591 postفن بیان و گویندگی ، صداسازی📻
@Fanebayan_Goyande · 3,0851 post🇬🇧Fixenglish
@fixenglish1 · 2,2941 postENGLISH GRAMMAR
@grammarfad · 17,4661 postEnglish Learning
@grobP1 · 26,9981 postـྀུ͜༊ྀུ͜͜͜͡࿐ حریم ؏ـشـق ـྀུ͜༊ྀུ͜͜͜͡࿐
@HARIMMASHGH · 2,6431 postریتم زندگی
@HealthyRhythmOfLife · 2,3751 post𝗠𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗼𝗿 𝗘𝗻𝗴𝗹𝗶𝘀𝗵
@MindsetforEnglish · 6,4331 post👣وارثان فروید👣
@nadidparid · 10,1321 postشخصیت شناسی با فیلم
@PersonaReel · 1,9571 postنادیه زارعی | روانشناس
@psy_nadiehzareei · 16,3261 postروانشناسی | راه سبز
@ravanshenasi_rahesabz · 6,0331 postRooeen_Ravan
@rooeen_ravan · 6,9271 postحسن عالیشاه روانشناس
@roshanapsychology · 8,0671 post🧠طرحواره درمانی🧠
@schematherapychannel · 12,5141 postکنکورستان ارشد و دکتری
@SeniorExam · 4,8451 postتبادلات رشد
@TAB_PSY · 6781 post
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Enjoy English | آموزش زبان انگلیسی” (@teaching_english_vip), 4,860 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/teaching_english_vip.
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.