Green Tara(MM001) แแฒแท Highlight Video แแฑแธแแญแฏ แกแแฐแแผแแบแทแแผแแกแฑแฌแแบแแฑแฌแบ แแฎแแปแฌแแญแฏแทแแฑ https://vt.tiktok.com/ZSVV7Dn2X/ #GreenTara #TESOL #CELTA #TKT #hightlight
โค2

Channel
@greentarainstitute
On this record: Topic ยท Growth ยท Engagement ยท Reactions ยท Posts ยท Telegram's recommendations ยท Cite this entry
2,844subscribers
+33 since we began measuring on 3 September 2026
Risers and fallers across the register ยท movement among entries of 1,000โ3,162.
| Telegram ID | -1001765745162 |
|---|---|
| Type | Channel |
| Username | @greentarainstitute |
| Created | Between 1 December 2021 and 30 April 2023 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 3 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/greentarainstitute |
Education โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a modelโs 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 โ 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, 22:16 | 2,844 | +6 |
| 13 Sept 2026, 19:19 | 2,838 | +13 |
| 10 Sept 2026, 03:18 | 2,825 | +13 |
| 4 Sept 2026, 15:20 | 2,812 | +1 |
| 3 Sept 2026, 17:22 | 2,811 | first reading |
20 posts held, back to 26 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 1 page of Telegramโs 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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 ยท latest post in window 26 August 2026 |
|---|---|
| Posts held | 20 (26 July 2026 โ 26 August 2026) |
| Views total | 485 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 3 Sept 2026, 17:22 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
50 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 96.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 48 | 96.0% | |
| ๐ณ | 2 | 4.00% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 13 of the 20 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 50 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 20 most recent posts we hold, published 26 July 2026 to 26 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.
Green Tara(MM001) แแฒแท Highlight Video แแฑแธแแญแฏ แกแแฐแแผแแบแทแแผแแกแฑแฌแแบแแฑแฌแบ แแฎแแปแฌแแญแฏแทแแฑ https://vt.tiktok.com/ZSVV7Dn2X/ #GreenTara #TESOL #CELTA #TKT #hightlight
โค2
๐๏ธ๐โจ๐๐๐ง๐๐ซ๐๐ฅ ๐๐ง๐ ๐ฅ๐ข๐ฌ๐ก ๐๐ง-๐๐๐ซ๐ฌ๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐ https://vt.tiktok.com/ZSVX2MQy2/
โค2
๐๐๐ฉ๐๐๐ค๐๐ซ ๐๐ฉ๐จ๐ญ๐ฅ๐ข๐ ๐ก๐ญ ๐: ๐๐๐๐ญ ๐๐ฎ๐ซ ๐๐ฌ๐ญ๐๐๐ฆ๐๐ ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐ฉ๐๐๐ค๐๐ซ๐ฌ!๐๏ธ๐๏ธโจ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ ๐๐ซ๐๐๐ง ๐๐๐ซ๐ แแฒแท ๐๐๐๐๐ก๐๐ซ ๐๐ฎ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ก๐จ๐จ๐ฅ แแญแฏแทแแฐแธแแฑแซแแบแธแแผแฎแธ แแฑแแผแแบแแฑแฌแบแแพแฌ แแแบแธแแแบแธแแฌแธแแฌแธ แแปแแบแธแแแผแฏแแฏแแบแแฝแฌแธแแแทแบ MMELT 3/2026 Conference แแผแฎแธแแพแฌ แแญแแญแแญแฏแทแแฒแท แแแบแแญแฏแธแแพแญแแพแแฒแท แ แฌแแแบแแแบแธแกแแฝแแบแธ แกแแฝแฑแทแกแแผแฏแถแแฝแฑแ แแฑแแบแแฎ ELT แแแบแแผแฌแธแแฑแธ แแแบแธแ แแ แบแแฝแฑแแฒแท แกแแญแฏแธแแแบ Insight แแฝแฑแแญแฏ แแแบแแฑแฌแแบแแฌแแแทแบ แแฎแแปแฌแแญแฏแทแแฎ แแปแพแแฑแแฝแฑแธแแฝแฑแธแแฑแธแแฝแฌแธแแผแแแทแบโฆ
๐๐ฟ๐ฒ๐ฒ๐ป ๐ง๐ฎ๐ฟ๐ฎ ๐๐ป๐๐๐ถ๐๐๐๐ฒ pinned ยซhttps://www.tiktok.com/@greentaramyanmar?_r=1ยป
https://www.tiktok.com/@greentaramyanmar?_r=1
๐ ๐๐ฉ๐๐๐ค๐๐ซ ๐๐ฉ๐จ๐ญ๐ฅ๐ข๐ ๐ก๐ญ ๐: ๐๐๐๐ญ ๐๐ฎ๐ซ ๐๐ฌ๐ญ๐๐๐ฆ๐๐ ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐ฉ๐๐๐ค๐๐ซ๐ฌ! ๐๏ธ๐๏ธโจ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ แแฎแแ แบแแฑแซแแบ ๐๐ซ๐๐๐ง ๐๐๐ซ๐ แแฒแท ๐๐๐๐๐ก๐๐ซ ๐๐ฎ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ก๐จ๐จ๐ฅ แแญแฏแทแแฐแธแแฑแซแแบแธแแผแฎแธ แแฑแแผแแบแแฑแฌแบแแพแฌ แแแบแธแแแบแธแแฌแธแแฌแธ แแปแแบแธแแแผแฏแแฏแแบแแฝแฌแธแแแทแบ MMELT 3/2026 Conference แแผแฎแธแแพแฌ แแญแแญแแญแฏแทแแฒแท แแแบแแญแฏแธแแพแญแแพแแฒแท แ แฌแแแบแแแบแธแกแแฝแแบแธ แกแแฝแฑแทแกแแผแฏแถแแฝแฑแ แแฑแแบแแฎ ELT แแแบแแผแฌแธแแฑแธ แแแบแธแ แแ แบแแฝแฑแแฒแท แกแแญแฏแธแแแบ Insight แแฝแฑแแญแฏ แแแบแแฑแฌแแบแแฌแแแทแบ แแฎแแปแฌแแญแฏแทแแฎ แแปแพแแฑแแฝแฑแธแแฝแฑแธแโฆ
โค5
๐๐ข๐ฉ๐ฅ๐จ๐ฆ๐ ๐ข๐ง ๐๐๐๐๐ก๐๐ซ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ (๐๐ง๐ญ๐๐ง๐ฌ๐ข๐ฏ๐) Batch แกแแ แบ แ แฌแแแบแธแแฑแธแแฝแแบแธแแญแฏแแบแแซแแผแฎ! https://vt.tiktok.com/ZSVdRVEp9/ ๐ฃแแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ ๐ Diploma in Teacher Training Batch แกแแ แบแแฑแธ แแฌแแซแแผแฎแแฑแฌแบแ ๐ญแ แฌแแแบแแฌแแฌแแแบแธ แกแแฝแฑแทแกแแผแฏแถแแฝแฑ แแฑแฌแบแแฑแฌแบแแแฌแแญแฏแท ๐ญแแญแฏแแทแบแแฒแท profession แแญแฏแแแบแธ แแฑแฌแแบแแ แบแแแทแบ แกแแแทแบแแผแพแแทแบแแปแแบแแผแฎแแฌแธแ ๐ญแแซแแพแแแฏแแบ แแญแฏแแทแบแแปแฑแฌแแบแธแ แแฎแแปแฌแแฝแฑแแญแฏ แแญแฏแแบแแญแฏแแบ train แแฑแธแแปแแบแแผแฎแแฌแธแ ๐ญแแปแฑแฌแแบแธแ แแญแฏแแทแบแแญแฏ teacher แแฝแฑแแญแฏ train แแฑแธแแญแฏโฆ
โค4
๐ ๐๐ฎ๐๐๐๐ฌ๐ฌ๐๐ฎ๐ฅ๐ฅ๐ฒ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐: ๐-๐๐๐ฒ ๐๐๐๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐ฐ๐ข๐ญ๐ก ๐๐ซ๐๐ข๐ง๐๐ซ ๐๐๐ง๐ ๐๐๐ฅ๐๐ง๐๐ฒ! ๐๏ธโจ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ https://vt.tiktok.com/ZS4WauUpR/ แแฎแแ แบแแแบแแพแฌ แแปแแบแธแแแผแฏแแฏแแบแแฒแทแแฒแท Green Tara แแฒแท 2-Day CLIL (Content and Language Integrated Learning) Workshop แแผแฎแธแแฌ แแฎแแปแฌแแญแฏแทแแฒแท แแแบแแผแฝแ แฝแฌ แแซแแแบแแผแฎแธแ แแฝแฑแธแแฝแฑแธแแฒแทแแผแแฒแท แแปแฑแฌแบแแฝแพแแบแ แแฌ Activities แแฝแฑแแฒแทแกแแฐ แกแฑแฌแแบแแผแแบแ แฝแฌ แแผแฎแธแแฏแถแธแแฝแฌแธแแฒแทแแซแแผแฎแแฑแฌแบ! ๐ฅณ๐ แแแนแแฌแแ แบแแพแแบแธแแพแฌ Teacher Training แโฆ
โค1
๐ข ๐๐๐ฏ๐ ๐ญ๐ก๐ ๐๐๐ญ๐ โ ๐/๐๐๐๐ ๐๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ ๐๏ธโจ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ ๐๐๐๐๐ ๐๐๐๐ แแฒแท ๐๐๐๐๐ก๐๐ซ ๐๐ฎ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ก๐จ๐จ๐ฅ แแญแฏแทแแฐแธแแฑแซแแบแธแแผแฎแธ แแฑแแผแแบแแฑแฌแบแแพแฌ แแปแแบแธแแแฝแฌแธแแแทแบ ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ แแผแฎแธแแฒแท Theme แแญแฏแแแบแธ แแปแพแแฑแแฑแธแแญแฏแแบแแปแแบแแซแแแบแแฑแฌแบแ ๐ซแแฑแแผแแบแแฑแฌแบแแพแฌแแปแแบแธแแแฒแท ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ แแฒแท Theme แแแฑแฌแท ๐ โ๐๐จ๐ฎ๐ง๐ ๐๐จ๐ข๐๐๐ฌ, ๐๐ข๐ ๐ ๐ฎ๐ญ๐ฎ๐ซ๐๐ฌ: ๐๐ซ๐๐๐ญ๐ข๐ฏ๐, ๐๐จ๐ง๐ง๐๐๐ญ๐๐ ๐๐ฅ๐๐ฌ๐ฌ๐ซ๐จ๐จ๐ฆ๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ญ ๐๐๐ง๐ญ๐ฎ๐ซ๐ฒ ๐๐๐๐ซ๐ง๐๐ซ๐ฌโ แแฒ แแผแ แบแแซแแแบแ โญ แแฎ Theโฆ
โค4
๐ข ๐๐๐ฏ๐ ๐ญ๐ก๐ ๐๐๐ญ๐ โ ๐/๐๐๐๐ ๐๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ ๐๏ธโจ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ ๐๐๐๐๐ ๐๐๐๐ แแฒแท ๐๐๐๐๐ก๐๐ซ ๐๐ฎ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ก๐จ๐จ๐ฅ แแญแฏแทแแฐแธแแฑแซแแบแธแแผแฎแธ แแฑแแผแแบแแฑแฌแบแแพแฌ แแปแแบแธแแแฝแฌแธแแแทแบ ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ แแผแฎแธแแฒแท Theme แแญแฏแแแบแธ แแปแพแแฑแแฑแธแแญแฏแแบแแปแแบแแซแแแบแแฑแฌแบแ ๐ซแแฑแแผแแบแแฑแฌแบแแพแฌแแปแแบแธแแแฒแท ๐๐๐๐๐ ๐/๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ แแฒแท Theme แแแฑแฌแท ๐ โ๐๐จ๐ฎ๐ง๐ ๐๐จ๐ข๐๐๐ฌ, ๐๐ข๐ ๐ ๐ฎ๐ญ๐ฎ๐ซ๐๐ฌ: ๐๐ซ๐๐๐ญ๐ข๐ฏ๐, ๐๐จ๐ง๐ง๐๐๐ญ๐๐ ๐๐ฅ๐๐ฌ๐ฌ๐ซ๐จ๐จ๐ฆ๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ญ ๐๐๐ง๐ญ๐ฎ๐ซ๐ฒ ๐๐๐๐ซ๐ง๐๐ซ๐ฌโ แแฒ แแผแ แบแแซแแแบแ โญ แแฎ Theโฆ
โค2
Photo, posted without a caption
๐จ ๐๐ก๐ ๐๐๐๐๐ ๐๐จ๐ฎ๐ซ๐ง๐๐ฒ ๐๐๐ ๐ข๐ง๐ฌ! ๐๐๐ฆ๐๐ซ๐ข๐๐ ๐ ๐๐๐๐๐ ๐๐จ๐๐ฎ๐ฅ๐ ๐ ๐๐ง-๐๐๐ซ๐ฌ๐จ๐ง ๐๐๐ฌ๐ฌ๐ข๐จ๐ง ๐ข๐ฌ ๐๐จ๐ฐ ๐๐ข๐ฏ๐! ๐๏ธโจ Click here for photos https://vt.tiktok.com/ZS4PgKWMV/ แแแญแฏ แแแญแฏ แแฎแแปแฌแแญแฏแทแแฑ... โจ Green Tara Cambridge Authorised Exam Centre (MM001) แแฒแท Cambridge DELTA Module 1 In-Person แกแแแบแธแแผแฎแธแแญแฏ Energy แกแแผแแบแทแแฒแท แ แแแบแแญแฏแแบแแผแฎแแผแ แบแแผแฑแฌแแบแธ แแแแบแธแแฑแฌแแบแธแแซแธแแญแฏแแบแแซแแแบแแฑแฌแบ! ๐๐ แแฎแกแแแบแธแแฑแธแแพแฌ Cambridge-Certified DELTA Trainer Jane Delaney แแญแฏแแบแโฆ
โค8
Showing the 12 most recent of 20 posts we hold for @greentarainstitute. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
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 โ 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 elseโs query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegramโs list for THAT channel, not this one โ see how this is measured.
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 โ this entry's latest reading, not the date you are reading this.
โ๐๐ฟ๐ฒ๐ฒ๐ป ๐ง๐ฎ๐ฟ๐ฎ ๐๐ป๐๐๐ถ๐๐๐๐ฒโ (@greentarainstitute), 2,844 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/greentarainstitute.
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 ยท 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.