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Channel
大埔好學校睇圖頻道
@taipo789
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,230subscribers
+52 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001463689965 |
|---|---|
| Type | Channel |
| Username | @taipo789 |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/taipo789 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 04:35 | 20,230 | +7 |
| 28 Aug 2026, 03:04 | 20,223 | -1 |
| 26 Aug 2026, 03:23 | 20,224 | +2 |
| 20 Aug 2026, 19:37 | 20,222 | -1 |
| 19 Aug 2026, 21:08 | 20,223 | +5 |
| 18 Aug 2026, 21:45 | 20,218 | +10 |
| 17 Aug 2026, 20:18 | 20,208 | +24 |
| 16 Aug 2026, 17:54 | 20,184 | +10 |
| 15 Aug 2026, 04:14 | 20,174 | -4 |
| 13 Aug 2026, 18:26 | 20,178 | +2 |
| 12 Aug 2026, 16:06 | 20,176 | -5 |
| 11 Aug 2026, 17:02 | 20,181 | +3 |
| 10 Aug 2026, 15:15 | 20,178 | +4 |
| 9 Aug 2026, 12:51 | 20,174 | -7 |
| 8 Aug 2026, 15:45 | 20,181 | +5 |
| 7 Aug 2026, 16:51 | 20,176 | -2 |
| 7 Aug 2026, 04:45 | 20,178 | no change |
| 7 Aug 2026, 04:33 | 20,178 | first reading |
Engagement
535 posts held, back to 5 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 47 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.49%
- avg views ÷ 20,230 subscribers
- Avg views / post
- 503
- 535 posts measured
- Reaction rate
- 0.209%
- reactions ÷ views · ER floor
- Posts in window
- 535
- of 535 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 171 of 535 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 535 (5 August 2026 – 28 August 2026) |
| Views total | 269,114 |
| Reactions total | 300 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 22:33 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
- 7m 09s
- Average length
- 13s
Measured directly from 33 videos 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
300 reactions across 142 posts, in 3 distinct kinds. The most used accounts for 84.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 252 | 84.0% | |
| 👍 | 46 | 15.3% | |
| 🥰 | 2 | 0.667% |
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 171 of the 535 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 300reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 535 most recent posts we hold, published 5 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.
Recent posts
8️⃣🔣2️⃣9️⃣號可約時間 #Lea 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #婉寧 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #奶蓋 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #小S【只約到13.30】 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #小奶黃 15.30可約EBFC餐 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #Rose 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #明月 11.00可約EBFC餐(頭餐) ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #茵茵 12.30可約EBFC餐 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ #啪啪 13.00可約E餐 14.30可約EBFC餐 ❤️❤️❤️❤…
#Lea
【廣東台,身材勁掂 42寸大長腿,緊窄隧道水多, 服務周到, 溫柔女友feel】 #小S (last day) 19.30可約EBFC餐 好評 #小S@taipo999 ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
【廣東台,惹火身材,按摩專業,奶頭粉嫩,隧道緊窄毛少,口活好,服務一流】 #婉寧 🔥点玩都得🔥 宜家得閒可約EBF餐 20.15可約EBFC餐 好評 #婉寧@taipo999 💣💣💣💣💣💣💣💣
【大波靚女,奶頭粉嫩,一線靚鮑 緊窄 多水多汁,服務態度超好 溫柔女友feel】 #奶蓋 宜家得閒可約EBFC餐 好評 #奶蓋@taipo999 🎭🎭🎭🎭🎭🎭🎭🎭
【細細粒,膚白體軟,真人靚過相,口活好 溫柔女友feel】 #Lea 宜家得閒可約EBFC餐 21.45可約EBFC餐 好評 #Lea@taipo999 ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
【純真大波,皮膚白滑,一線靚鮑多水多汁,口活好 洞穴緊緻水多 免破冰 超一流莞式服務】 #婷婷 (last day) 19.00可約E餐 21.30可約EBFC餐 好評 #婷婷@taipo999 ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
【大波大囉,身材勁掂,奶頭粉嫩,隧道緊窄 服務一流,熱情女友feel】 #Rose 🔥38E童顏巨乳🔥 19.30可約EBFC餐 21.45可約EBFC餐 好評 #Rose@taipo999 💋💋💋💋💋💋💋💋
【身材高挑,長腿細腰,長相甜美,隧道緊緻,無限配合】 #茵茵 🔥9成對相強推🔥 20.00可約EBFC餐 23.15可約EBFC餐 好評 #茵茵@taipo999 💋💋💋💋💋💋💋💋
【白虎甜美小廚娘,識聽粵語,身材勻稱,熱情主動超級配合,服務態度好 服務一流 熱情女友feel】 #明月 🔥熱情似火小只馬🔥 20.30可約EBFC餐 好評 #明月@taipo999 💝💝💝💝💝💝💝💝
【初下海後生呦呦,五官精緻好靚女,三點粉嫩,緊緻隧道水多,聽話聽教】 #啪啪 22.15可約EBFC餐 00.45可約EBFC餐 好評 #啪啪@taipo999 💍💍💍💍💍💍💍💍
Showing the 12 most recent of 535 posts we hold for @taipo789. 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“大埔好學校睇圖頻道” (@taipo789), 20,230 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/taipo789.
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.