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Channel

阿龙闯荡记·真实东南亚🫆

@blj11

2 usernames

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 · Telegram's recommendations · Cite this entry

32,714subscribers

-16,810 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-1001994469530
TypeChannel
Usernames@baoliaojie @blj11
Description#东南亚 #柬埔寨 #菲律宾 #迪拜 #缅甸 #泰国 为了符合电报用户喜好,电报版《爆料届·阿龙闯荡记》将融合柬埔寨以及周边国家各类突发事件,园区爆料和八卦为广大用户带来精彩的东南亚华人生活资讯! 投稿: @zsdny 本频道谢绝任何政治敏感新闻,仅供参考
CreatedBetween 1 October 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 October 2026
Measurements held80
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/blj11

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 55% 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 1 other registered channel. 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
@bobei_dsj/532797 Aug 2026, 10:10 UTC@blj11/12931 · this entry7 Aug 2026, 10:10 UTC1.00under a minute
@bobei_dsj/532817 Aug 2026, 10:40 UTC@blj11/12933 · this entry7 Aug 2026, 10:40 UTC1.00under a minute
@bobei_dsj/532877 Aug 2026, 12:10 UTC@blj11/12939 · this entry7 Aug 2026, 12:10 UTC1.00under a minute
@bobei_dsj/532897 Aug 2026, 12:20 UTC@blj11/12941 · this entry7 Aug 2026, 12:20 UTC1.00under a minute
@bobei_dsj/532927 Aug 2026, 13:10 UTC@blj11/12945 · this entry7 Aug 2026, 13:10 UTC1.00under a minute
@bobei_dsj/532937 Aug 2026, 13:40 UTC@blj11/12946 · this entry7 Aug 2026, 13:40 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bobei_dsj7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (6–1)

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. 1 of the 1 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 15 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 2, the earliest publisher we hold is @bobei_dsj. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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

32,71449,52441,1197 August 202618 October 2026
80 measurements spanning 72 days, net -16,810. 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 30,193–52,046 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 80
Measured (UTC)SubscribersChange
18 Oct 2026, 06:0932,714no change
18 Oct 2026, 05:4732,714-85
17 Oct 2026, 09:0032,799-65
17 Oct 2026, 02:5632,864-287
16 Oct 2026, 05:3633,151-40
16 Oct 2026, 00:4533,191-73
15 Oct 2026, 05:2533,264-119
15 Oct 2026, 00:3833,383-340
13 Oct 2026, 23:5633,723-33
13 Oct 2026, 18:0833,756-648
11 Oct 2026, 01:4134,404-227
10 Oct 2026, 01:5834,631-513
6 Oct 2026, 19:0235,144-70
6 Oct 2026, 00:2135,214-380
1 Oct 2026, 18:5935,594-164
30 Sept 2026, 19:4035,758-553
18 Sept 2026, 08:5836,311-13
18 Sept 2026, 04:0236,324-233
16 Sept 2026, 00:2236,557-1
15 Sept 2026, 20:5836,558first reading

Engagement

1,285 posts held, back to 7 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 134 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.274%
avg views ÷ 32,714 subscribers
Avg views / post
89.5
591 posts measured
Reaction rate
1.30%
reactions ÷ views · ER floor
Posts in window
591
of 1,285 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 123 of 591 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 18 October 2026
Posts held1,285 (7 August 2026 – 18 October 2026)
Views total52,919
Reactions total240
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 19:48 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
≈14,000
Videos
≈3,740
Links
≈3,200

Lifetime counters from Telegram’s own channel header, read 18 October 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
4h 44m
Average length
55s

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

272 reactions across 139 posts, in 8 distinct kinds. The most used accounts for 19.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 59272770729080297305319.5%
custom 59291911809180668623412.5%
custom 59294708090588402183412.5%
custom 62018182200562877833412.5%
custom 62037894253615586453412.5%
custom 61544273533437296283312.1%
custom 61566800379206779943312.1%
custom 6064502609455093627176.25%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 139 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 272 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 22 August 2026 to 18 October 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

18 Oct 2026, 16:50 UTC37 viewsread 18 October 2026
Photo

#证实了:马来西亚和中国已经签引渡条约了 各位老板们~~裤子提紧了

18 Oct 2026, 16:33 UTC44 viewsread 18 October 2026
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#网友投稿:寻找以下被公安冻结的地址,最高的一个地址5500万USDT。 原持有人来谈解冻条件~~

18 Oct 2026, 16:10 UTC43 viewsread 18 October 2026
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#群友投稿:今天来让大家认识一个专门骗自己人的所谓的朋友! 这个人满嘴跑火车,没有一句真话,天天都在骗人。这个人外号叫做“班长”,湖北人。下次就把你的证件全部发出来!此人没有护照,是从小路偷渡出来的,给大家认识一下! 事情的起因是这样的:当时我们想开一个小的盘,需要一个场地。他说他可以搞定,要和我们合伙开,我们也没说什么,就答应了。中间还有一位好朋友,也是看别人的面子,没有说别的。 然后这个人就开始了,天天盯着我们让我们弄。本来说是在金边钻石岛弄,我们答应了,感觉还不错,也同意了,可是根本搞不定。后来又带我们去西港找他师傅,什么胡总,怀疑也是被他骗了,不知道当中原由。 这班长什么本事都没有,反正骗身边的朋友,我觉得他还是有一套的~ 后来,我们在西港把钱转给他之后,他找了个什么铁锅炖楼上做,别人老板根本就不知道这个事,还是在骗朋友!他一直说可以,后面我们还没开始,警察就过来要登记护照。当时我们什么都买了,电脑设备、网络费…

18 Oct 2026, 15:50 UTC35 viewsread 18 October 2026
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#群友反馈:柬埔寨某警察局19人收了50万美金才放人

18 Oct 2026, 15:31 UTC40 viewsread 18 October 2026
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#网友曝光:我是一家开电脑和买手机的,以前是因为和他们公司熟悉,才给他们欠帐的,后来因为一些原因,他们从七星海it 搬到波呗宝龙4了,搬家的第二天还让我送了10台电脑上去,也就是因为认识,以前也有欠帐,就没有想那么多,公司的管事叫星河,福建人,老板,啊群,飞机也有叫过简单,现在飞机叫拿捏,还有一个公群频道飞机名字叫合联盛大G,他是做拿现的中介,他们每天就是找车队给他们拿现,他们负责对接盘口,总的欠我2000多u,我现在店在柬埔寨关了,大环境这样也开不下去,没生意,他们公司管事的已经失踪了,那我找他们老板没错吧,可是我联系他们老板的时候说把钱给他了,我这里一分钱没收到,最后他们老板的私人号飞机给我拉黑了,2000多u都要跑,你就不怕你的车队名声做坏吗,车队都小心合联盛吧,什么时候把你们吃了都找不到人,今天不处理,照片先不发了,今天不处理,明天福建公安会收到信息,下次就是带照片

18 Oct 2026, 15:10 UTC42 viewsread 18 October 2026
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#群友爆料:昨天越狱的人,西港海豚警察局的人没有抓,而是在压这一件事。 他们六个人之所以能跑,是因为在这里看守他们的警察收了他们的钱,让他们出去放风,才导致他们跑的。 如果这件事西港警察局局长往上报,肯定是要受处分的。所以,这件事西港海豚警察局肯定是内部处理、大事化小。 我就是六个人中的其中之一。我为什么站出来说这一件事?因为太黑了!不管有没有护照,全部抓。想出去,最低2万美金。 我女朋友护照、签证什么都有,硬是花了2万美金才出去。而且这里没有人权,一个房间70—80人,男女混住。 孟加拉人玩手机不收钱,越南人玩手机不收钱,就中国人玩手机收钱,而且是每天一收。 我就是想让同胞知道柬埔寨当局的做法。能离开柬埔寨的同胞,就早一点离开吧! 前一个星期,UK错抓了80—100名中国人,全部花钱出去的。不管有没有护照,不管签证有没有过期,就是抓。而且,不管是你犯了什么法,花钱就能出去。 这就是柬埔寨西港海豚警察局的现状!

18 Oct 2026, 14:50 UTC44 viewsread 18 October 2026
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#网友曝光 此人啊德重庆人,柬埔寨台湾盘口老板之前在宝龙1园区后来搬到西港凯旋城园区,金边财通园区,跟他认识很多年了,没有想到过会以这种方式来找你,钱真的不多可能也就是你玩一次包厢随手给出去的小费而已, 从9月初到现在一次又一次的联系你跟你老婆你们视而不见,避而不谈,我不欠你一分钱,相处这么久也没亏过你任何事,但是你也样对我就太不地道了,人在做,天在看。凡事做人留一线,日后好相见,别把路走绝了

18 Oct 2026, 14:33 UTC37 viewsread 18 October 2026
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吃逼亏上逼当,迟早死在逼身上 #网友爆料:这女的叫芳芳,经常在老挝金三角的夜市出现,最让我想不到的是这个女的竟然是人妖, 后面分手了 她的朋友们全部告诉我她是变性人

18 Oct 2026, 14:10 UTC42 viewsread 18 October 2026
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#可靠消息:昨晚西港海豚警察局 越狱跑了中国人六个人

18 Oct 2026, 13:50 UTC45 viewsread 18 October 2026
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#群友曝光:西港海豚酒店往下100米左右。有一个酒店名字叫东澄酒店! 现在这个东澄酒店8楼到15楼还有80个左右的推推在里面办公,干的是国内的资金盘!杀猪盘!现在的柬埔寨的大环境你们还敢继续搞我们的国人! 里面起码有三分一的人是没有护照的!你们有这么大的能量有这么大的保护伞吗?我今天必须曝光你们! 公司老板易晨!管理人员啊强,大侠,业务骨干小胖,米奇!你们这帮人罪恶滔天。中国警方不会放过你们的。

18 Oct 2026, 13:32 UTC41 viewsread 18 October 2026
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#网友曝光:今年8月29日,我被外号阿布,真实姓名杨凯昕,新疆石河子人,31岁。29号被他用代付业务作为诱饵,让我投资我给他转了人民2.8万,到现在为止给我退了2700u,剩下的以各种理由借口推脱直到今天没有在退。他在园区专门骗朋友,兄弟,国内也是骗了一大帮人。大家若是发现此人请注意不要上当受骗,现在人在三佛塔某公司,如果再不出面及时处理,接下来 曝光所在公司

18 Oct 2026, 07:34 UTC8 viewsread 18 October 2026
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#柬埔寨资讯:磅清扬3名记者涉嫌敲诈勒索渔民160万瑞尔,被执法人员当场抓获 10月17日上午,柬埔寨磅清扬省发生一起涉嫌敲诈勒索案件。根据目前流传的消息,3名记者涉嫌向当地渔民索要160万瑞尔(约合400美元),随后被当地执法人员当场抓获。 目前,涉案人员的具体身份、敲诈勒索的详细经过及案件后续处理情况,仍有待当地有关部门进一步通报。

Showing the 12 most recent of 1,285 posts we hold for @blj11. 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

柬埔寨大事件
@blj77 · 172,677
#1
东南亚大事件️
@dsj818 · 136,322
#2
💎【伊伊】文案头像素材吧💎
@wenanq · 277
#3
只是文案
@wenan565656 · 5,568
#4
柬埔寨華人信息
@jpz_888 · 12,435
#5
东南亚大事件
@bx666 · 462,628
#6
西港日记|柬埔寨大事件
@xgrj0 · 164,137
#7
文案/励志/情感
@RZ1788 · 2,639
#8
|高龙岛|旅游|酒店|外海海钓|专业钓鱼艇
@gaolongdaodaozhu · 1,452
#9
emo_朋友圈
@wangyiy1 · 4,356
#10
亚太文案 | 缅甸文案 |木姐文案 | 东南亚文案 | 🇲🇲
@wenanguanjxb · 4,998
#11
头像 文案 壁纸 鸡汤 分享
@wasc001 · 1,748
#12
七月月弯弯文案馆🍺
@wenanya · 2,730
#13
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 90,034
#14
🌈心情文案馆🌈
@xqw3344 · 738
#15
DJ阿肖音乐频道
@DjAXRemix · 10,355
#16
灵魂🫦文案馆
@wenanle · 4,873
#17
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,590
#18
🍼美女头像壁纸素材🍼
@meinv00857 · 3,659
#19
华强/东南亚漂流记包厢文化
@vvw555555 · 2,812
#20
日暮温柔馆
@dj17wenan · 1,362
#21
🍭木姐晚风依旧温柔 🍭
@wenanquno · 1,095
#22
人间清醒【文案馆】
@wenanhs1 · 29,517
#23
海外大事件 @USD1
@usd1 · 254,597 (as read 26 August 2026)
#24
吃瓜东南亚头条㊖
@CG887 · 106,909
#25
🦄奇闻趣事 吃瓜新闻
@n12345 · 1,684
#26
生活情感文案风景频道馆
@wxhnww016 · 2,198
#27
华人圈-不入爱河💦
@wenanba0 · 995
#28
东南亚文案馆
@wenan77 · 9,491
#29
东南亚大新闻
@HYY3333 · 84,632
#30
头条新闻💥搞笑视频
@z055q · 38,676
#31
柬城科技
@JCSVIPA3 · 633
#32
🔥東莱娱乐城🔥电子•捕鱼•视讯•棋牌•彩票•体育
@DLYL33333 · 6,324
#33
🔥双狮国际娱乐🔥视讯.电子.捕鱼.棋牌.
@SSGJYL · 23,981
#34
🔥PG娱乐城PG28.com【实力招商】🔥
@PG28zhaoshang · 2,190
#35
小魔王头像馆🍎
@chenxichenxi8 · 3,971
#36
壁纸 📸 头像 写真
@bizhi110 · 21,912
#37
表情包😍 贴纸包🤩
@biaoqing6688 · 976
#38
足不出户看世界各地
@haoche1314 · 2,727
#39
ភូមិកីឡា-Phoum Sport
@topsoupterkseang168 · 763
#40

Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

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 — 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 else’s query is independent of having been queried itself.

东南亚大事件️
@dsj818 · 136,322
Telegram ranks this channel #8 of 23 here — alongside 22 others — read 14 August 2026
西港日记|柬埔寨大事件
@xgrj0 · 164,137
Telegram ranks this channel #9 of 21 here — alongside 20 others — read 12 August 2026
柬埔寨大事件
@blj77 · 172,677
Telegram ranks this channel #9 of 27 here — alongside 26 others — read 12 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“阿龙闯荡记·真实东南亚🫆” (@blj11), 32,714 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/blj11.

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.