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Telegram profile photo for 柬埔寨二手市场|二手市场|手机电脑|公寓出租

Channel

柬埔寨二手市场|二手市场|手机电脑|公寓出租

@JBRSSC

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

65,271subscribers

+21,011 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002313518207
TypeChannel
Username@JBRSSC
Description#柬埔寨二手 #柬埔寨 #金边 #西港 #木牌 👉柬埔寨大事件,疑难杂症来问我 👉其他叫柬埔寨大事件的都是假的 商务合作联系:t.me/Flau0228 发布:t.me/baoguangjpz 发布联系副管理 @yysd8886 柬埔寨大事件 @JPZDSJ 东南亚大事件 t.me/JPZDSJ886 灰产:t.me/HCBGDSJ 西港二手供需 @xigangdsj 金边二手供需 @JBRSSC 柬埔寨飞行员 @dongnanya_DJ
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/JBRSSC

Topic

Gambling & betting — 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 9 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.

Growth

34,51365,27149,8927 August 2026 — 44,260 subscribers7 August 2026 — 44,219 subscribers8 August 2026 — 43,338 subscribers9 August 2026 — 42,994 subscribers10 August 2026 — 41,961 subscribers11 August 2026 — 41,014 subscribers12 August 2026 — 40,256 subscribers14 August 2026 — 39,550 subscribers15 August 2026 — 39,054 subscribers16 August 2026 — 37,859 subscribers17 August 2026 — 41,318 subscribers19 August 2026 — 40,003 subscribers20 August 2026 — 39,458 subscribers21 August 2026 — 36,610 subscribers22 August 2026 — 36,056 subscribers24 August 2026 — 34,947 subscribers25 August 2026 — 34,513 subscribers26 August 2026 — 40,812 subscribers27 August 2026 — 40,267 subscribers28 August 2026 — 39,834 subscribers29 August 2026 — 39,051 subscribers29 August 2026 — 41,436 subscribers31 August 2026 — 40,752 subscribers1 September 2026 — 40,476 subscribers2 September 2026 — 39,992 subscribers3 September 2026 — 37,445 subscribers5 September 2026 — 40,948 subscribers8 September 2026 — 43,504 subscribers11 September 2026 — 50,958 subscribers13 September 2026 — 59,436 subscribers14 September 2026 — 58,491 subscribers16 September 2026 — 62,358 subscribers18 September 2026 — 61,901 subscribers24 September 2026 — 65,271 subscribers7 August 202624 September 2026
34 measurements spanning 48 days, net +21,011. 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 29,899–69,885 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
24 Sept 2026, 21:5465,271+3,370
18 Sept 2026, 21:1961,901-457
16 Sept 2026, 12:1962,358+3,867
14 Sept 2026, 15:0158,491-945
13 Sept 2026, 01:3759,436+8,478
11 Sept 2026, 04:4050,958+7,454
8 Sept 2026, 03:5743,504+2,556
5 Sept 2026, 01:2240,948+3,503
3 Sept 2026, 10:1337,445-2,547
2 Sept 2026, 04:4439,992-484
1 Sept 2026, 03:1740,476-276
31 Aug 2026, 00:4340,752-684
29 Aug 2026, 23:0741,436+2,385
29 Aug 2026, 02:2539,051-783
28 Aug 2026, 05:1239,834-433
27 Aug 2026, 03:5340,267-545
26 Aug 2026, 02:0540,812+6,299
25 Aug 2026, 04:5734,513-434
24 Aug 2026, 01:4734,947-1,109
22 Aug 2026, 08:5536,056first reading

Engagement

1,267 posts held, back to 6 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 103 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.047%
avg views ÷ 65,271 subscribers
Avg views / post
30.9
824 posts measured
Reaction rate
5.73%
reactions ÷ views · ER floor
Posts in window
827
of 1,267 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 27 of 824 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 27 September 2026
Posts held1,267 (6 August 2026 – 27 September 2026)
Views total25,467
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:19 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

Photos
≈16,500
Videos
≈3,590
Links
≈9,140

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 17m
Average length
14s

Measured directly from 341 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

23 reactions across 23 posts, in 9 distinct kinds. The most used accounts for 34.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤834.8%
🔥313.0%
😁313.0%
⚡28.70%
🎉28.70%
🥰28.70%
👍14.35%
👏14.35%
🤩14.35%

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 30 of the 1,000 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 20 August 2026 to 27 September 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

27 Sept 2026, 04:14 UTC1 viewsread 27 September 2026
Photo

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27 Sept 2026, 03:24 UTC4 viewsread 27 September 2026
Video

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27 Sept 2026, 03:22 UTC6 viewsread 27 September 2026
Photo

出售物品:苹果SE 价 格:30 不刀 位 置:西港丽豪酒店 联系方式:@aa_LinLin 交易方式:自提 物品介绍:备用机 ❗️二手私下经济交易注意资金安全 谨防骗子 #西港出售 广告赞助商,均已上押担保 ——————————————— ➖➖➖🔥🔥🔥🔥🔥➖➖➖ 柬埔寨大事件 灰产曝光 二手车买卖 西港二手群 柬埔寨求职 金边二手群 柬埔寨聊天交友 男人俱乐部 🛎 ☎️爆料与广告联系:@yysd8886

27 Sept 2026, 03:22 UTC7 viewsread 27 September 2026
Photo

出售物品:处理闲置‍‌​‌‌‌​​​​‌​‌‌‌‌​​‌‌‌‌​‌​​‌‍ 价 格:私聊详谈 位 置:#金边 联系方式:@Eason042621 交易方式:自取 ❗️二手私下经济交易注意资金安全 谨防骗子 #金边出售 广告赞助商,均已上押担保 ——————————————— ➖➖➖🔥🔥🔥🔥🔥➖➖➖ 柬埔寨大事件 灰产曝光 二手车买卖 西港二手群 柬埔寨求职 金边二手群 柬埔寨聊天交友 男人俱乐部 🛎 ☎️爆料与广告联系:@yysd8886

27 Sept 2026, 03:22 UTC5 views1 reactionsread 27 September 2026
Photo

出售物品:华为Mate60 pro 价 格:300USD 位 置:#西港 联系方式:@dxl55555 交易方式:自取/送货上门 物品介绍:麒麟9020处理器,曲面屏12+512,支持卫星通信,抖音TikTok刷剧与王者吃鸡流畅爽快,有意的联系。 ❗️二手私下经济交易注意资金安全 谨防骗子 广告赞助商,均已上押担保 ——————————————— ➖➖➖🔥🔥🔥🔥🔥➖➖➖ 柬埔寨大事件 灰产曝光 二手车买卖 西港二手群 柬埔寨求职 金边二手群 柬埔寨聊天交友 男人俱乐部 🛎 ☎️爆料与广告联系:@yysd8886

❤1

27 Sept 2026, 02:53 UTC2 viewsread 27 September 2026
Video

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27 Sept 2026, 00:51 UTC5 viewsread 27 September 2026
Photo

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26 Sept 2026, 23:50 UTC7 viewsread 27 September 2026
Photo

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26 Sept 2026, 23:27 UTC11 viewsread 27 September 2026
Photo

出售物品:圓型小碗 价 格:0.27USD 位 置:金邊 联系方式:@google0857 交易方式:自取/送货上门

26 Sept 2026, 23:27 UTC11 viewsread 27 September 2026
Photo

出售物品:黑鐵湯鍋 价 格:3USD 位 置:金邊 联系方式:@google0857 交易方式:自取/送货上门

26 Sept 2026, 23:27 UTC10 viewsread 27 September 2026
Photo

出售物品:半月盤 价 格:2.4USD 位 置:金邊 联系方式:@google0857 交易方式:自取/送货上门

Showing the 12 most recent of 1,267 posts we hold for @JBRSSC. 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

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 17 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.

Names

Channels on the register whose handles appear in this channel's posts.

柬埔寨租车|西港租车|二手车买卖
@xigangche · 60,604
258 posts
灰产爆光大事件
@HCBGDSJ · 161,361
142 posts
柬埔寨大事件|新闻曝光|安危头条
@JPZDSJ · 220,328
142 posts
柬埔寨甩人|西港招聘|金边招聘
@JPZSR · 58,657
142 posts
西港二手|二手家具|手机电脑|公寓出租
@xigangdsj · 68,997
142 posts
柬埔寨交友|同城交友|狗推大队
@xiganglm · 3,376
137 posts
鉴黄大事件 男人的俱乐部
@NanRenClubYellow · 49,928
135 posts
北极星科技 |平台搭建|网站开发
@dajian365 · 28,848
123 posts
Y3国际娱乐城官方频道
@y3guojicheng · 26,560
110 posts
8G.com
@tg8g · 32,598
108 posts
2028体育综合台官方频道
@pg2028ty · 29,582
106 posts
白馬會🏆柬埔寨官方頻道
@BMH_CAMBODIA · 445
94 posts
成年人影库|高清资源每日更新
@cnryk · 1,535
68 posts
全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 8,935
68 posts
G7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,489
68 posts
东南亚大事件|华人新闻|热点爆料
@SEAUPD · 26,245
68 posts
成人小说|情色小说|小说精选
@SYXS88 · 2,285
68 posts
G7环球|官方福利俱乐部
@wwwG7com · 4,333
68 posts
足球圈—G7.COM独家冠名
@zhuqiu7 · 2,527
42 posts
78.COM-官方频道@DF78
@tg78com · 19,992
39 posts
豪博娱乐总群( 储备1亿USDT钱包可查)
@hbyl · 6,513
38 posts
USDT.VIP_官方频道
@uuss1 · 5,068
38 posts
bolai.com铂莱世界杯冠名
@blzhaoshang · 5,049
35 posts
🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 4,962
35 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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨二手市场|二手市场|手机电脑|公寓出租” (@JBRSSC), 65,271 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/JBRSSC.

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.