Telegram RegisterThe public register of Telegram

Channel

东南亚素材库

@zhaopian

2 usernames

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

34,180subscribers

-1,720 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001907056756
TypeChannel
Usernames@biantai @zhaopian
CreatedBetween 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/zhaopian

Growth

34,18035,90035,0406 August 2026 — 35,900 subscribers6 August 2026 — 35,893 subscribers7 August 2026 — 35,892 subscribers7 August 2026 — 35,670 subscribers8 August 2026 — 35,476 subscribers8 August 2026 — 35,228 subscribers9 August 2026 — 35,168 subscribers9 August 2026 — 34,963 subscribers10 August 2026 — 34,708 subscribers10 August 2026 — 34,621 subscribers11 August 2026 — 34,520 subscribers11 August 2026 — 34,346 subscribers12 August 2026 — 34,254 subscribers12 August 2026 — 34,180 subscribers6 August 202612 August 2026
14 measurements spanning 6 days, net -1,720. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 33,922–36,158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:2734,180-74
12 Aug 2026, 06:4834,254-92
11 Aug 2026, 21:4634,346-174
11 Aug 2026, 06:1734,520-101
10 Aug 2026, 22:3734,621-87
10 Aug 2026, 05:2534,708-255
9 Aug 2026, 19:4134,963-205
9 Aug 2026, 06:0035,168-60
8 Aug 2026, 19:0635,228-248
8 Aug 2026, 03:0135,476-194
7 Aug 2026, 17:3135,670-222
7 Aug 2026, 00:5335,892-1
6 Aug 2026, 21:1635,893-7
6 Aug 2026, 16:0235,900first reading

Engagement

28 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.307%
avg views ÷ 34,180 subscribers
Avg views / post
105
28 posts measured
Reaction rate
0.368%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 3 of 28 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held28 (6 August 202612 August 2026)
Views total2,942
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 21:03 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
9s
Average length
2s

Measured directly from 6 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 3 of the 28 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 6 August 2026 to 12 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

12 Aug 2026, 19:16 UTC51 viewsread 12 August 2026
Photo

让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

12 Aug 2026, 19:15 UTC47 viewsread 12 August 2026
Photo

Don’t tell dad 可爱的店,点了 Nectarine & Toasted Sesame Danish 🍑店里wifi还叫Shhhhh 😂📍Don’t Tell Dad, 10-14 Lonsdale Rd, London NW6 6RD,在Queen‘s Park附近,前后去逛逛也很舒适。#伦敦 #宝藏餐厅 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

12 Aug 2026, 19:15 UTC27 viewsread 12 August 2026
Photo

让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

12 Aug 2026, 19:14 UTC19 viewsread 12 August 2026
Photo

来都来了,但只对龙虾卷有兴趣,面包烤得刚好,黄油香气到位,龙虾肉给得足。#伦敦 #宝藏餐厅 #BurgerAndLobster #龙虾卷 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

12 Aug 2026, 19:14 UTC18 viewsread 12 August 2026
Video

让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

11 Aug 2026, 18:18 UTC200 viewsread 12 August 2026
Photo

#美国 #美国健身房 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

11 Aug 2026, 18:18 UTC155 viewsread 12 August 2026
Photo

让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

11 Aug 2026, 18:18 UTC124 viewsread 12 August 2026
Photo

#雅加达 #雅加达狗狗咖啡店 地址Jl. Pluit Indah No.4, RT.6/RW.6, Pluit, Kecamatan Penjaringan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14450 。这里狗狗很多,进来的时候记得去买一些狗粮,不然狗狗不黏人哦,他们很稳定。一楼还有养的猪猪,小刺猬,麝香猫,二楼都是狗,有很多大型犬,巨贵什么的。算是个打发时间的去处。里面可以喝咖啡和吃东西.推荐喜欢狗狗的朋友可以去 、 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

11 Aug 2026, 18:18 UTC77 views1 reactionsread 12 August 2026
Photo

#智利葡萄酒庄园 智利葡萄酒庄园|南纬33°,魔鬼的酒窖里,藏着智利最骄傲的味道。 Concha y Toro,今日朝圣完毕。🍇👹 #红魔鬼 #ConchayToro名庄 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

1

9 Aug 2026, 18:50 UTC219 views1 reactionsread 10 August 2026
Photo

#湾区 #纳帕 #酒庄 #红酒 这次去的是alpha omega酒庄 AO 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

1

9 Aug 2026, 18:49 UTC132 viewsread 10 August 2026
Photo

#随手拍 #好看 #嘴唇 #牙齿 #性感 #诱惑 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

9 Aug 2026, 18:49 UTC106 viewsread 10 August 2026
Photo

#加拿大 惠斯勒|||peak to peak 缆车很值得一试 #海天公路 让你看尽海外华人大小事👉点击关注 😬东南亚曝光群 @kk777 😬东南亚大事件 @kk888 😬东南亚吃瓜群 @kk999 😬柬埔寨大事件 @bgbgk 😬阿龙闯荡记 @along 😬缅甸大事件 @xigangz 😬迪拜大事件 @chiguak 😬金三角大事件 @jinsanjiao 😬东南亚素材库 @zhaopian

Showing the 12 most recent of 28 posts we hold for @zhaopian. 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.

Citation-graph rank

Citation-graph rank — 14,277 of 1,151,006entries 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.

Mentions

Named by 45 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.

东南亚大事件 柬埔寨大事件 柬埔寨新闻
@jinbiany · 106,630
163 posts
东南亚新闻 柬埔寨新闻 柬埔寨大事件
@Bx666x · 118,443
146 posts
迪拜新闻 迪拜大事件 马来西亚大事件
@chiguak · 65,820
146 posts
西港日记|柬埔寨大事件|东南亚大事件
@xigangz · 83,563
146 posts
柬埔寨大事件 柬埔寨新闻 东南亚新闻
@yuenanE · 129,222
145 posts
金三角特区 亚太新闻 缅甸新闻
@miandianQ · 53,608
136 posts
东南亚大事件
@bx66615 · 279,296
126 posts
东南亚大事件 金三角大事件 缅甸大事件
@yuenanU · 216,175
126 posts
斯里兰卡新闻 马达加斯加大事件 泰国新闻
@baoliaoc · 67,544
111 posts
迪拜新闻|迪拜大事件|东南亚大事件
@dibaif · 13,660
109 posts
金边华人|柬埔寨大事件|东南亚大事件
@jinbianyy · 28,794
46 posts
💯【佳佳】美食素材圈💯
@sucai177 · 94,711
18 posts
☀️【佳佳】生活素材馆☀️
@sucai277 · 96,607
18 posts
🐦‍🔥佳佳文案吧|素材|壁纸|头像
@wenan888 · 58,902
18 posts
东南亚大事件
@goutuia · 5,381
14 posts
西港新闻/西港大事件/西港聊天群/西港外卖群
@xigangB1 · 18,681
11 posts
素材(全通用)🪸
@Sucaiyo · 100,004
9 posts
东南亚大事件
@dongnanyaYYY · 10,635
8 posts
柬埔寨新闻|柬埔寨大事件|东南亚大事件
@jianpuzhaiuuuu · 19,663
8 posts
缅甸新闻|缅甸大事件|东南亚大事件
@miandianQQQQ · 17,981
8 posts
波贝新闻/波贝大事件/波贝聊天群/波贝外卖群
@bobei99 · 11,131
5 posts
曝光频道 @cctv3
@cctv3 · 185,243
5 posts
新闻频道 @cctv5
@cctv5 · 180,914
5 posts
电影频道【SOTV】
@cctv1 · 305,726
4 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚素材库” (@zhaopian), 34,180 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/zhaopian.

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.