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Telegram profile photo for 🌏柬埔寨🇰🇭新闻曝光-攻略头条🔥

Channel

🌏柬埔寨🇰🇭新闻曝光-攻略头条🔥

@jianpuzhai_01

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

91,059subscribers

+29,103 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-1002819768178
TypeChannel
Username@jianpuzhai_01
Description投稿联系 @didizhou 新闻头条 @jianpuzhai_01 二手交易 @jianpuzhai_02 求职招聘 @jianpuzhai_03 吃瓜中心 @chiguazhongxin3
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/jianpuzhai_01

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dongnanyadashijian9/352337 Aug 2026, 14:54 UTC@jianpuzhai_01/33945 · this entry7 Aug 2026, 14:54 UTC1.00under a minute
@dongnanyadashijian9/352347 Aug 2026, 14:54 UTC@jianpuzhai_01/33946 · this entry7 Aug 2026, 14:54 UTC1.00under a minute
@dongnanyadashijian9/352357 Aug 2026, 14:55 UTC@jianpuzhai_01/33948 · this entry7 Aug 2026, 14:55 UTC1.00under a minute
@dongnanyadashijian9/352397 Aug 2026, 14:55 UTC@jianpuzhai_01/33952 · this entry7 Aug 2026, 14:56 UTC1.00under a minute
@dongnanyadashijian9/352437 Aug 2026, 14:56 UTC@jianpuzhai_01/33956 · this entry7 Aug 2026, 14:57 UTC1.00under a minute
@dongnanyadashijian9/352447 Aug 2026, 15:55 UTC@jianpuzhai_01/33957 · this entry7 Aug 2026, 15:55 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dongnanyadashijian910 (8/8 hand-verifiable sample passed)1.00under a minute@dongnanyadashijian9 (100)
@sililanka0079 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (90)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 10 of the 10 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @dongnanyadashijian9. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

45,15494,35969,756.57 August 2026 — 61,956 subscribers8 August 2026 — 61,173 subscribers9 August 2026 — 60,577 subscribers10 August 2026 — 60,184 subscribers11 August 2026 — 59,387 subscribers12 August 2026 — 59,098 subscribers13 August 2026 — 58,405 subscribers15 August 2026 — 57,909 subscribers16 August 2026 — 56,938 subscribers17 August 2026 — 56,120 subscribers18 August 2026 — 55,454 subscribers19 August 2026 — 55,057 subscribers20 August 2026 — 54,851 subscribers21 August 2026 — 54,404 subscribers23 August 2026 — 53,995 subscribers24 August 2026 — 53,592 subscribers25 August 2026 — 53,137 subscribers26 August 2026 — 52,955 subscribers28 August 2026 — 52,395 subscribers29 August 2026 — 51,956 subscribers30 August 2026 — 51,279 subscribers31 August 2026 — 50,447 subscribers1 September 2026 — 49,928 subscribers2 September 2026 — 49,326 subscribers3 September 2026 — 48,275 subscribers5 September 2026 — 47,447 subscribers7 September 2026 — 45,154 subscribers11 September 2026 — 62,044 subscribers12 September 2026 — 88,444 subscribers14 September 2026 — 94,359 subscribers16 September 2026 — 92,583 subscribers18 September 2026 — 91,059 subscribers91,0597 August 202618 September 2026
32 measurements spanning 42 days, net +29,103. 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 37,773–101,740 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 19:5891,059-1,524
16 Sept 2026, 08:1692,583-1,776
14 Sept 2026, 11:0094,359+5,915
12 Sept 2026, 23:3888,444+26,400
11 Sept 2026, 00:3662,044+16,890
7 Sept 2026, 23:3645,154-2,293
5 Sept 2026, 00:3647,447-828
3 Sept 2026, 10:4248,275-1,051
2 Sept 2026, 02:4549,326-602
1 Sept 2026, 01:3749,928-519
31 Aug 2026, 03:3650,447-832
30 Aug 2026, 02:2451,279-677
29 Aug 2026, 02:5451,956-439
28 Aug 2026, 00:2452,395-560
26 Aug 2026, 22:4652,955-182
25 Aug 2026, 21:1453,137-455
24 Aug 2026, 21:5353,592-403
23 Aug 2026, 10:4653,995-409
21 Aug 2026, 20:0754,404-447
20 Aug 2026, 17:3654,851first reading

Engagement

1,099 posts held, back to 7 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 94 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.219%
avg views ÷ 91,059 subscribers
Avg views / post
200
666 posts measured
Reaction rate
0.614%
reactions ÷ views · ER floor
Posts in window
720
of 1,099 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 58 of 666 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 22 September 2026
Posts held1,099 (7 August 202622 September 2026)
Views total132,988
Reactions total80
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 15:02 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
27,300
Videos
7,260
Links
6,450

Lifetime counters from Telegram’s own channel header, read 22 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
3h 56m
Average length
45s

Measured directly from 312 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

80 reactions across 58 posts, in 9 distinct kinds. The most used accounts for 18.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1518.8%
😁1215.0%
🤩1113.8%
🎉1012.5%
🥰810.0%
78.75%
67.50%
👏67.50%
🔥56.25%

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 58 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 80 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 12 August 2026 to 22 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

22 Sept 2026, 13:52 UTC236 views1 reactionsread 22 September 2026
Photo

#国内新闻 “消灾”骗局骗了12年 女子每月交5.5万累计被骗800余万元 9月21日,广东警方公布一起持续12年的诈骗案。深圳一名女子被亲戚以“通灵消灾、请高僧做法事”为由长期索要钱款,累计被骗800余万元。 嫌疑人黄某是受害人吴女士的亲戚。黄某利用吴女士担心孩子的心理,冒充“通灵人”,声称可以请高僧做法事消灾,每月向她索要5.5万元,还用“不继续交钱会遭反噬”等说法让她持续付款。 为了让吴女士相信,黄某还编造请来台湾法师等说法,声称共有4名“大师”帮她做法事。这场骗局持续12年,涉案金额超过800万元。 吴女士报警后,深圳警方联合福建漳州警方展开抓捕,将黄某抓获。警方随后追回全部800余万元被骗资金,并返还给吴女士。黄某已被依法采取刑事强制措施。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘安妮宝贝: ——————————————————— 😳求职招聘 📑迪拜新闻 ✴️二手市场 🍉吃瓜中心

1

22 Sept 2026, 13:48 UTC238 views2 reactionsread 22 September 2026
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#柬埔寨资讯 中柬警方一年多持续追查中国籍涉案人员,数万人已被遣返回国 9月22日,柬埔寨内政部公布中柬警方过去一年多的执法合作情况。双方持续追查涉及网络诈骗、绑架勒索、非法赌博、非法越境、侵犯个人信息等案件的中国籍人员,并推进抓捕和遣返。 一批16名中国籍人员涉及网络诈骗、勒索等案件,柬埔寨警方查到14人,其中4人已经离境,10人仍在柬埔寨,另外2人没有入境记录。 另一批52人涉及网络诈骗、侵犯个人信息和非法越境,警方查到39人,其中9人已经离境,13人没有入境记录,1人已取得柬埔寨国籍。行动中还解救3名被限制自由、被迫从事网络诈骗的中国公民。 中方另外要求协查45名涉及纠纷、网络诈骗和非法赌博等案件的中国籍人员。柬方查到36人,其中16人已经离境,20人仍在柬埔寨,另外9人没有入境记录。仍在柬埔寨的人员中,1人已于2025年被捕并进入遣返程序。 另外两批各5名中国籍人员分别涉及非法吸收存款、色情犯罪、性侵等案件。其

1🤩1

22 Sept 2026, 12:31 UTC241 views1 reactionsread 22 September 2026
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中国驻柬大使馆举行国庆77周年招待会 昨天,中国驻柬埔寨大使馆举行庆祝中华人民共和国成立77周年招待会。 中国驻柬大使汪文斌、柬埔寨副总理兼外交部长巴速坤、国会主席昆索达丽、国王高级顾问狄班和棉森婉,以及柬王室成员、党政军政要、柬华理事总会会长方侨生大公爵、华人华侨代表等出席。

👍1

22 Sept 2026, 12:30 UTC241 views1 reactionsread 22 September 2026
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国际刑警组织启用“银色通报”,跨国追查现金、加密货币及房产等非法资产 重点协助成员国寻找和识别与犯罪活动有关的境外资产,让国际执法合作不仅停留在追捕嫌疑人,也进一步延伸至追查犯罪所得。 成员国可通过国际刑警组织网络请求其他国家协助查询涉嫌犯罪人员持有或控制的资产,包括现金、#银行账户、#加密货币、#车辆、#房地产及企业资产等,为后续依法冻结、扣押或追缴提供线索。 与主要用于寻找和临时拘捕逃犯的“红色通报”不同,“银色通报”的核心是追踪和识别犯罪资产。 这一机制主要针对跨国有组织犯罪、洗钱、诈骗及其他涉及非法资金转移的案件,为各国追查被转移至境外的犯罪所得增加新的国际协作渠道。

👍1

22 Sept 2026, 12:29 UTC238 viewsread 22 September 2026
Video

今年8月底,我在特区一家会所消费时认识了一名女子。当时她提出无需采取通常的安全措施,随后我们发生了性关系。 当天晚上休息期间,她联系了几名朋友来到现场,并声称我在未经她同意的情况下发生了无保护性行为。随后,在对方多人施压的情况下,我为了避免事情进一步扩大,最终支付了2万元人民币,双方当时私下进行了处理。 没想到大约半个月后,我发现自己的身体出现多处红色斑点,并伴有明显瘙痒。前往医院检查后,被告知感染了性传播疾病。至于感染的具体来源以及相关责任,还需要通过正规的医学检查和相关证据进一步确认。 这次经历也给我敲响了警钟。希望大家在外消费和发生亲密关系时,一定要提高安全意识,做好必要的防护,不要因为一时疏忽给自己带来身体和经济上的风险。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心

22 Sept 2026, 12:10 UTC2 viewsread 22 September 2026
Video

🤩🤩🤩🤩 🤩🤩🤩🤩🤩 0审核|包出款🤩🤩🤩 东南亚大事件联合担保🤩🤩🤩🤩🤩(电子) 🤩亿级域名|78.COM 🤩官方飞投|充提自由 🤩NO钱包担保3亿U|可查验 😀 📱官方频道:@DF78 ➡️关注领VIP 😀 🔝好品牌,实力派: 78.COM 无需标签,本身便是最好的辨识度 🔥香港六合彩 · 独家盈利无上限! 🤩所有的特码🤩🤩倍 🤩连码三中三🤩🤩🤩倍 🤩连码四中四🤩🤩🤩🤩🤩倍 🤩百家乐全网最高返水🤩% 🤩电子|棋牌|捕鱼返水🤩.🤩% 🤩十三水|德州自主组队,无抽佣; 🏆百家乐真人视讯台红🤩🤩万U; 💥新人超会赢,精彩时刻: 🥇六合彩 玩家用7个号码组合下注连码三全中➕四全中,每注100U,开出4个号码。7000U的本钱,命中4注878倍及一注10000倍大奖,稳稳落袋135万U; 🥈PG电子 客户充150U,狂赚79万U,已提款50万U 🥉DB真人 玩百家乐的老板,第一天存款50万U,连续7天每日提款500万

22 Sept 2026, 12:09 UTC246 views1 reactionsread 22 September 2026
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柬埔寨10天驱逐近700外国人 9月10日至20日期间,柬埔寨移民总局将681名外籍人员驱逐出境。 据悉,被驱逐人员涉及全球31个国家和地区,其中以中国籍为主。警方指出,上述人员分别涉嫌参与网络诈骗、非法居留以及绑架勒索等违法犯罪活动。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

🥰1

22 Sept 2026, 12:02 UTC247 viewsread 22 September 2026
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不懂求问: 这两天柬埔寨开放园区供媒体记者采风,几个园区内都发现了鼓。 这个鼓是团队开单后庆祝的呢,还是没开单前用于打鸡血的呢~~ 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

22 Sept 2026, 09:31 UTC236 viewsread 22 September 2026
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终结99%黑钱追不回神话 国际刑警组织祭出银色通缉令全球跨境追击黑产 国际刑警组织近日推出名为“银色通缉令”(又名“银色通报”)的跨国追赃利器,旨在彻底撕碎犯罪分子动辄保全99%非法所得的侥幸心理。据美联社报道,该机制于2025年1月启动多国试点专门面向全球成员国协同追踪隐匿的现金、加密货币、车辆、房地产等各类非法财产 这不仅标志着国际警务合作从单一的“抓人”全面迈入“连根拔除黑金”的追赃新纪元,更对跨国黑灰产网络敲响了最严厉的丧钟。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

22 Sept 2026, 09:24 UTC234 viewsread 22 September 2026
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柬埔寨副总理高乐会见加拿大大使 探讨加强打击网诈合作 昨天,柬埔寨副总理兼司法部部长高乐会见加拿大驻柬大使克里斯蒂安·德罗什。 高乐介绍了柬政府在打击网诈方面的努力与成效,强调网诈属于新型跨国犯罪,需多国及相关方联合打击,柬方对国际合作持开放态度。 加拿大大使对柬埔寨的打击成果表示高度赞赏,并明确表示加方愿提供必要支持与合作。双方还一致同意进一步深化柬加两国的司法合作。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

22 Sept 2026, 09:24 UTC232 views2 reactionsread 22 September 2026
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#国内资讯:闲鱼暗藏涉黄产业链,涉及未成年少女 据河北经视报道,闲鱼平台上至今仍暗藏涉黄产业链,记者在调查中发现,一些客服的个人信息中赫然写着“处宝可约”四个字,经进一步沟通确认,这些可供“预约”的女孩大多是未成年人,年龄最小的仅14岁。 从媒体记者调查的情况来看,这条涉黄产业链的运作模式并不复杂。商家以“模特上门约拍”“上门健身”等旗号发布商品,配图清一色是女性照片,通过隐晦暗示将用户引导至线下或私域进行交易。 更有甚者,以“游泳教学”为幌子出售引流视频,引导用户扫码加群,进群后便能收到明码标价的“课程表”,上门特殊服务赫然在列,14岁的未成年人被当作“商品”标价。客服甚至声称“支持带到三甲医院认证”。 闲鱼涉黄问题不是第一次了。近些年,闲鱼多次因“擦边涉黄”被曝光、被约谈,但问题始终未能根除。2024年,以“二手空调”“捷安特”“苹果取卡针”等为暗号的色情交易引发广泛关注;今年6月,闲鱼又被曝售卖未成年少女裸体写真…

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Showing the 12 most recent of 1,099 posts we hold for @jianpuzhai_01. 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

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Mentions

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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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“🌏柬埔寨🇰🇭新闻曝光-攻略头条🔥” (@jianpuzhai_01), 91,059 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/jianpuzhai_01.

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