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Telegram profile photo for 东南亚新闻【吃瓜头条】🍉

Channel

东南亚新闻【吃瓜头条】🍉

@ca0000

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

91,423subscribers

-19,313 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-1001542411783
TypeChannel
Username@ca0000
Description#缅甸 #柬埔寨 #菲律宾 #迪拜 #东南亚 #老挝 #阿富汗 #阿联酋 #马来西亚 东南亚大事件悬赏-曝光(吃瓜) 专注于揭露事实,曝光真相! ☎️ 投稿爆料: @jjj91 📮 商务合作: @jjj91 悬赏吃瓜: @XPPPP 海外曝光: @Vhhhh 🚀联盟导航: @LYYYY 本频道只负责相关发布信息,真假自行甄别
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held39
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/ca0000

Topic

Gambling & betting — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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
@ca0000/20896 · this entry7 Aug 2026, 01:35 UTC@yc0000/212407 Aug 2026, 02:32 UTC1.0057 minutes
@yc0000/212387 Aug 2026, 01:24 UTC@ca0000/20900 · this entry7 Aug 2026, 02:23 UTC1.0059 minutes
@yc0000/212366 Aug 2026, 19:31 UTC@ca0000/20902 · this entry7 Aug 2026, 03:08 UTC1.007.6 hours
@ca0000/20937 · this entry7 Aug 2026, 11:17 UTC@yc0000/212697 Aug 2026, 11:42 UTC1.0025 minutes
@yc0000/212657 Aug 2026, 10:43 UTC@ca0000/20945 · this entry7 Aug 2026, 12:18 UTC1.001.6 hours
@ca0000/20982 · this entry7 Aug 2026, 16:36 UTC@yc0000/213157 Aug 2026, 19:27 UTC1.002.9 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yc000012 (7/8 hand-verifiable sample passed)1.0057 minuteseven

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. 6 of the 6 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 31 comparable posts for this entry, running 6 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 @ca0000 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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 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

91,423110,809101,1167 August 2026 — 110,736 subscribers7 August 2026 — 110,736 subscribers7 August 2026 — 110,809 subscribers8 August 2026 — 110,721 subscribers9 August 2026 — 110,533 subscribers10 August 2026 — 110,410 subscribers11 August 2026 — 110,353 subscribers12 August 2026 — 110,251 subscribers14 August 2026 — 110,135 subscribers15 August 2026 — 110,093 subscribers17 August 2026 — 109,902 subscribers18 August 2026 — 109,740 subscribers19 August 2026 — 108,905 subscribers20 August 2026 — 108,777 subscribers21 August 2026 — 106,281 subscribers22 August 2026 — 106,110 subscribers24 August 2026 — 105,723 subscribers25 August 2026 — 105,075 subscribers26 August 2026 — 104,741 subscribers27 August 2026 — 104,645 subscribers28 August 2026 — 104,299 subscribers29 August 2026 — 104,214 subscribers30 August 2026 — 103,982 subscribers31 August 2026 — 103,984 subscribers1 September 2026 — 103,568 subscribers2 September 2026 — 103,277 subscribers3 September 2026 — 103,160 subscribers5 September 2026 — 102,620 subscribers8 September 2026 — 101,738 subscribers11 September 2026 — 100,988 subscribers13 September 2026 — 100,648 subscribers15 September 2026 — 100,291 subscribers16 September 2026 — 100,028 subscribers19 September 2026 — 99,937 subscribers26 September 2026 — 97,356 subscribers4 October 2026 — 93,289 subscribers9 October 2026 — 91,714 subscribers13 October 2026 — 91,493 subscribers14 October 2026 — 91,423 subscribers7 August 202614 October 2026
39 measurements spanning 69 days, net -19,313. 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 88,515–113,717 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 39
Measured (UTC)SubscribersChange
14 Oct 2026, 17:2991,423-70
13 Oct 2026, 04:5891,493-221
9 Oct 2026, 02:1891,714-1,575
4 Oct 2026, 14:1693,289-4,067
26 Sept 2026, 09:4197,356-2,581
19 Sept 2026, 12:5899,937-91
16 Sept 2026, 23:55100,028-263
15 Sept 2026, 01:20100,291-357
13 Sept 2026, 07:55100,648-340
11 Sept 2026, 11:16100,988-750
8 Sept 2026, 20:56101,738-882
5 Sept 2026, 11:14102,620-540
3 Sept 2026, 14:19103,160-117
2 Sept 2026, 09:08103,277-291
1 Sept 2026, 10:07103,568-416
31 Aug 2026, 08:26103,984+2
30 Aug 2026, 08:36103,982-232
29 Aug 2026, 08:05104,214-85
28 Aug 2026, 06:43104,299-346
27 Aug 2026, 07:12104,645first reading

Engagement

1,778 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 142 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.98%
avg views ÷ 91,423 subscribers
Avg views / post
5,470
789 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
789
of 1,778 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 765 of 789 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 15 October 2026
Posts held1,778 (6 August 2026 – 15 October 2026)
Views total4,315,312
Reactions total43,363
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Oct 2026, 02:20 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
≈18,600
Videos
≈3,330
Links
≈4,830

Lifetime counters from Telegram’s own channel header, read 15 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
3h 27m
Average length
52s

Measured directly from 240 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

51,453 reactions across 908 posts, in 12 distinct kinds. The most used accounts for 11.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5,94411.6%
💯5,73611.1%
🎉5,73411.1%
❤‍🔥5,71811.1%
😍5,70311.1%
🤩5,68611.1%
🥰5,65911.0%
❤5,64911.0%
👍5,61310.9%
⚡60.012%
👏30.006%
😁20.004%

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 908 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 51,453 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 6 September 2026 to 15 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

15 Oct 2026, 01:33 UTC≈7,140 views56 reactionsread 15 October 2026
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🇱🇦#老挝加强出租场所监管 #包庇电诈人员或被吊销营业执照 10月14日,老挝公安部发布通知,要求全国房东、企业及经济特区加强对出租场所的管理,防止网络诈骗、网络赌博团伙利用租赁物业从事违法活动。** 通知要求,业主如发现可疑行为,应及时向警方报告。对于故意包庇、窝藏涉案人员,或拒不配合调查的责任方,相关部门将视情况予以警告、罚款;经两次警告仍未改正的,可能被责令停业,或被吊销营业执照。 老挝公安部公布的数据显示,2026年前9个月,全国共开展153次打击行动,抓获涉及31个国籍的相关嫌疑人10,651名。 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

🎉11❤‍🔥7💯7🔥7🥰7😍6🤩5👍4

15 Oct 2026, 00:05 UTC≈7,240 views51 reactionsread 15 October 2026
Photo

Photo, posted without a caption

❤‍🔥8🎉6💯6🔥6🥰6😍6❤5🤩5

14 Oct 2026, 18:20 UTC≈7,210 views51 reactionsread 15 October 2026
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据西港省旅游局报告,在亡人节三天假期期间,西港省累计接待前往各景区、岛屿、海滩及旅游目的地休闲观光的国内外游客共计195,994人次,其中本地游客190,122人次,外国游客5,872人次。 去年亡人节接待16万,今年19万,还大幅增长了,牛逼! 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

❤‍🔥10👍8😍8🎉7💯4🤩4🥰4❤3

14 Oct 2026, 17:48 UTC≈8,780 views50 reactionsread 15 October 2026
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#群友爆料 #西港星际赌场杀猪爆雷 #靠非法巨型牌罩和公关人员配合作弊 这个赌场除了两桌本地演员以外,没有任何散客,所有的桌子都是给出码人员去打的,猫腻就出现在这些出码牌桌上。出码牌桌的牌靴顺序是赌场公关人员知道的,每张牌什么顺序,他们在监控室都知道。 最重要的来了,星际百家乐的桌子有一个工具是牌罩。正常赌场只是一个盖子压在上面,星际的闲庄补牌的那里有一个巨大的罩子盖着两张牌,荷官给你发哪张,你坐在牌桌上根本看不到。 荷官听监控公关指挥,根据玩家下注的情况,会把该给闲补的牌补给庄,补给庄的在牌罩里偷偷挪给闲。比如,你买庄,正常补牌会赢的情况下,公关就会在耳机提醒荷官发闲的补牌,直接把庄补死或者不够点。 为了避免被发现,每次有出码的玩家在打牌的情况下,桌子周围会瞬间围满赌场的工作人员。两个人挡在荷官的手后面,让人看不到荷官换牌;两个人在后面看着玩家。这种情况下,就算是赌神在世,进了这个局也只能死! 现在西港没人了,他们这…

💯8🔥6🤩6😍6❤‍🔥5🎉5👍5🥰5

14 Oct 2026, 17:18 UTC24 views150 reactionsread 15 October 2026
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#柬埔寨内政部回应半岛电视台纪录片否认保护伞质疑 针对纪录片揭露七星海长湾诈骗园区及华裔商人邓丕兵声称“八成收益用于打点关系”,内政部副发言人杜速克称此系邓丕兵个人夸大炫耀,政府官员绝无分红。关于视频中的警车,杜速克强调严禁公车私用,不排除私自改装或假冒可能。内政部证实已对“长湾”园区展开行政检查与打击,案件正依法深挖,坚决打击利用国家资源掩盖非法行为。发言人撇得干净,晚上加鸡腿。 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

🎉21👍20💯19🤩19❤17😍16🥰15🔥14

14 Oct 2026, 17:00 UTC≈7,090 views51 reactionsread 15 October 2026
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💎🎰🙌💵 😀💰💸💸 💳💳💳💳💳💳💳💳💳 💳💳💳💳💳💳💳💳💳 🧐专业服务 超高限红 毫秒出款 ❤️视讯 — 索莱尔/DB/CQ9高限红 ❤️电子 — PG/PP/CQ9 一注2000 ❤️彩票 — 独家综艺28/哈希区块彩 🏆OK游戏中心 公群9 入驻300万U 🏆新币担保 公群999 入驻100万U 官方网址 ➔ 9Y.COM 官方飞投 ➔ @GF9Y 官方唯一客服 ➔ @KF9Y 官方唯一频道 ➔ @WWW9YCOM 💎🐋🐋🐋🐋🐋🐋🐋🐋💎

💯10🎉8❤6🔥6🥰6👍4🤩4😍4

14 Oct 2026, 16:38 UTC16 views50 reactionsread 15 October 2026
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#群友爆料 今天乘坐厦门航空,托运行李后,行李箱内钱包里的钱被偷走,钱包里的证件也在,现金全部被拿走了。建议有贵重物品的千万别托运行李。 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

🎉8😍8🤩7👍6💯6❤5🥰4❤‍🔥3

14 Oct 2026, 16:05 UTC≈11,100 views50 reactionsread 15 October 2026
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Photo, posted without a caption

👍9❤‍🔥8🔥8🎉7😍6🤩4❤3🥰3

14 Oct 2026, 15:51 UTC≈9,470 views102 reactionsread 15 October 2026
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#美国驻金边大使馆今天发文 在特朗普总统的领导下,美国正动用一切可用手段,包括对涉及此类犯罪企业的200多个个人和实体实施制裁,全力铲除依赖人口贩卖的诈骗团伙。美国将继续追究所有参与诈骗运营人员的法律责任。 ps:辛巴建议把那些贩卖人口多担保群封杀了 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

❤‍🔥18💯14😍14👍12❤11🔥10🥰9🎉7

14 Oct 2026, 15:42 UTC≈9,100 views51 reactionsread 15 October 2026
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全世界产出诈骗犯最多的国家Top30 尼日利亚是祖宗,印度紧随其后 美国、中国、俄罗斯排后 柬埔寨可以排19吗? 柬埔寨只是外国诈骗犯比较多本国出产的诈骗犯可以排19? 感觉数据上不太科学~~ 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

👍11🎉8🥰7❤‍🔥6😍5❤4💯4🔥3

14 Oct 2026, 15:22 UTC21 views50 reactionsread 15 October 2026
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#网友投稿 10月2日,我本人李某在某某嗨场被做局,遭十几个人绑架,整个嗨场停业,引我入洞。 事情经过:10月1号晚上,我跟自己的朋友们在某场V5玩,玩了两套。大概到10月2号中午12点多,突然阳阳就出现在我们包厢了。就在前几天,我们才认识,一起玩过两三次。 后来,我们都问了一下有没有人叫他,大家都说没有叫过他。最后分析,应该是一个妈咪,而且不是我们当天V5订房人的妈咪,告诉了阳阳我们在哪个包厢。 他过来后,首先唱了两首歌,后面说要放他的串烧,我说都可以。然后,他跟我玩骰子。在这个过程中,他边玩边说:“他的大姐(飞机名某某)很有实力,某嗨场的老板啥啥啥的,有机会带你们认识一下。” 我就回了一句:“那可以啊。” 没等几分钟,他又说:“他大姐现在就在某嗨场V9,晚上飞新加坡,叫我们现在过去坐一下。” 之前,这个阳阳跟我妹妹说的是隔壁的包厢。我妹妹还有点不放心,毕竟已经玩了一天一夜了。当时我背着我的背包,她让我把背包留下…

🔥9❤‍🔥7🥰7🎉6😍6💯5🤩5❤3

14 Oct 2026, 15:11 UTC≈7,280 views151 reactionsread 15 October 2026
Video

#西港迪威赌场被围最新消息 网友投稿:今天怕是麻烦了,现场来了好多记者,还有很多领导都在这,内政部官员以及联合国毒品和犯罪问题办公室(UNODC)代表均在场,刚刚听说美国佬(FBI)也参与了,看来要当成典型案件查办。 👌👌👌👌👌👌👌👌👌 🔈加入群聊 💥出海导航 💎投稿招商 💵有偿投稿机器人

😍22❤‍🔥21🔥20🤩20🥰17❤14👍14💯13

Showing the 12 most recent of 1,778 posts we hold for @ca0000. 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

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

“东南亚新闻【吃瓜头条】🍉” (@ca0000), 91,423 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/ca0000.

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.