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Channel

东南亚新闻网

@xinwenzix

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

54,183subscribers

-9,279 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-1001769867836
TypeChannel
Username@xinwenzix
Description专注东南亚各地新闻发布。网友曝光! 频道只负责发布相关信息,真假自行甄别。
CreatedBetween 1 December 2021 and 30 April 2023 — 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/xinwenzix

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 75% 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
@xinwenzix/25571 · this entry7 Aug 2026, 10:08 UTC@dnyzx192/98327 Aug 2026, 10:13 UTC1.005 minutes
@xinwenzix/25575 · this entry7 Aug 2026, 10:17 UTC@dnyzx192/98357 Aug 2026, 10:25 UTC1.008 minutes
@xinwenzix/25582 · this entry7 Aug 2026, 11:09 UTC@dnyzx192/98387 Aug 2026, 11:10 UTC1.00under a minute
@xinwenzix/25592 · this entry7 Aug 2026, 11:40 UTC@dnyzx192/98447 Aug 2026, 11:46 UTC1.006 minutes
@xinwenzix/25597 · this entry7 Aug 2026, 11:55 UTC@dnyzx192/98487 Aug 2026, 11:58 UTC1.003 minutes
@xinwenzix/25615 · this entry7 Aug 2026, 12:57 UTC@dnyzx192/98627 Aug 2026, 13:06 UTC1.008 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dnyzx1927 (7/7 hand-verifiable sample passed)1.005 minutesthis entry (70)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 24 comparable posts for this entry, running 7 August 2026 to 8 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 @xinwenzix — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 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

50,50563,46256,983.57 August 2026 — 63,462 subscribers7 August 2026 — 63,302 subscribers9 August 2026 — 62,883 subscribers10 August 2026 — 62,391 subscribers11 August 2026 — 62,180 subscribers12 August 2026 — 61,689 subscribers13 August 2026 — 61,552 subscribers14 August 2026 — 59,922 subscribers16 August 2026 — 59,280 subscribers17 August 2026 — 58,003 subscribers18 August 2026 — 57,460 subscribers19 August 2026 — 56,697 subscribers20 August 2026 — 56,004 subscribers21 August 2026 — 55,942 subscribers22 August 2026 — 53,422 subscribers24 August 2026 — 52,907 subscribers25 August 2026 — 62,084 subscribers26 August 2026 — 56,818 subscribers27 August 2026 — 51,893 subscribers28 August 2026 — 58,026 subscribers29 August 2026 — 54,722 subscribers30 August 2026 — 53,814 subscribers31 August 2026 — 53,114 subscribers1 September 2026 — 52,446 subscribers2 September 2026 — 51,668 subscribers4 September 2026 — 50,505 subscribers7 September 2026 — 58,520 subscribers10 September 2026 — 55,690 subscribers12 September 2026 — 53,999 subscribers14 September 2026 — 52,521 subscribers16 September 2026 — 56,816 subscribers18 September 2026 — 54,183 subscribers54,1837 August 202618 September 2026
32 measurements spanning 42 days, net -9,279. 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 48,561–65,406 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, 11:1654,183-2,633
16 Sept 2026, 06:4056,816+4,295
14 Sept 2026, 09:1752,521-1,478
12 Sept 2026, 14:5853,999-1,691
10 Sept 2026, 12:1555,690-2,830
7 Sept 2026, 06:5658,520+8,015
4 Sept 2026, 10:3850,505-1,163
2 Sept 2026, 21:3651,668-778
1 Sept 2026, 16:2852,446-668
31 Aug 2026, 18:1753,114-700
30 Aug 2026, 21:3453,814-908
29 Aug 2026, 18:5354,722-3,304
28 Aug 2026, 16:2558,026+6,133
27 Aug 2026, 18:1451,893-4,925
26 Aug 2026, 15:2456,818-5,266
25 Aug 2026, 12:2262,084+9,177
24 Aug 2026, 11:5752,907-515
22 Aug 2026, 19:3653,422-2,520
21 Aug 2026, 09:4455,942-62
20 Aug 2026, 11:1556,004first reading

Engagement

793 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 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.35%
avg views ÷ 54,183 subscribers
Avg views / post
729
524 posts measured
Reaction rate
3.48%
reactions ÷ views · ER floor
Posts in window
524
of 793 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 299 of 524 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 24 September 2026
Posts held793 (7 August 202624 September 2026)
Views total382,000
Reactions total6,393
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 04:06 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
13,100
Videos
3,060
Links
6,810

Lifetime counters from Telegram’s own channel header, read 24 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 15m
Average length
38s

Measured directly from 309 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

6,872 reactions across 323 posts, in 8 distinct kinds. The most used accounts for 13.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁89613.0%
👏88712.9%
🔥88312.8%
🎉86712.6%
🤩86512.6%
👍86212.5%
😢81111.8%
80111.7%

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 323 of the 793 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 6,872 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 793 most recent posts we hold, published 7 August 2026 to 24 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

24 Sept 2026, 00:00 UTC942 viewsread 24 September 2026
Video

✅#推荐频道 🔗 📢 华人海外资讯|菲龙网新闻曝光 📢 你关心的才是头条新闻 📢 找工作上菲龙网求职招聘 📢 内涵搞笑段子 📢 亚太新闻 🆒🔴商务合作:在下头很硬 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 🆒🔴商务合作:视野发布员 - 胖胖 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 🆒🔴商务合作:包菜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢

23 Sept 2026, 15:12 UTC855 views13 reactionsread 24 September 2026
Photo

#中国驻斯使馆报道:中秋国庆将至!中国驻斯里兰卡使馆发布假期安全提醒 中秋、国庆假期临近,中国驻斯里兰卡使馆提醒计划赴斯里兰卡的中国公民,提前做好安全准备,遵守当地法律法规,平安出行。 赴斯前要提前了解签证及出入境规定。赴斯务工人员应在国内提前办好相应签证,切勿持旅游签入境务工,也不要通过非正规渠道办理签证。 出行期间注意交通和天气安全。斯里兰卡部分偏远地区道路条件较差,遇恶劣天气应减少外出,长途旅行建议选择正规旅行社和车辆。乘坐小火车时不要靠近车门,更不要将身体探出车外拍照。 目前斯里兰卡登革热形势较为严峻,游客应做好防蚊措施,注意环境卫生,如出现疑似症状及时前往正规医院检查。 游泳、潜水等项目应选择正规、安全场所,不要擅自前往未开发或缺乏安全保障的区域。旅游期间尽量结伴出行,避免深夜前往偏僻地点,贵重物品、现金和银行卡不要随意放置,遇到盗抢首先确保人身安全并及时报警。 购买宝石等贵重商品时,应选择正规商家并索要鉴

3🎉3🤩3👏1🔥1😁1😢1

23 Sept 2026, 14:54 UTC846 views25 reactionsread 24 September 2026
Video

#群友爆料:上次曝光被抓的美国大区,格鲁吉亚、康伯大楼7-708办公室,老板叫豹子、福建人,股东啊青、湖南人、兼代理,总监叫阿天,福建人 公司被抓到现在公司老板,股东那叫一个忽悠,自己人全花钱保出去了,剩下我们这些代理50多号人,每天给我们各种洗脑,说在处理实际上就处理了,自己的亲戚和管理,我们剩下的都不管了。 豹子你们也赚了不少钱,给我们安全保出去,我们可以既往不咎,如果还是忽悠玩消失,回国你们一个都跑不了。看到主动联系我 不然后期曝光你们的照片还有家庭地址 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

😁7🎉54👏3🔥2😢2👍1🤩1

23 Sept 2026, 14:31 UTC30 views25 reactionsread 24 September 2026
Photo

群友爆料:柬埔寨西港,海悦23楼SK体育,明着黑钱。 联系内部处理,直接说无法处理,光明正大黑钱,让我背锅,证据都没有,随便找两个人指认,说我转移会员,黑我们工资,你也说的出口,SUKA。 当事人都跟说了,转移会员这件事我没参与,你这是要明着黑我,钱也是牛逼。现在被脖子收购了,这个组之前是SK直播。有入职在他下面做事的,赶紧跑路吧。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

👏5🔥54🎉4👍4😢2😁1

23 Sept 2026, 14:00 UTC866 views25 reactionsread 24 September 2026
Video

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👍6👏4🔥43😁3🎉2🤩2😢1

23 Sept 2026, 13:46 UTC31 views25 reactionsread 24 September 2026
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#网友投稿:缅甸妙瓦底,不仅仅城外,城里到处在查,有BGF,DKBA,PC,缅军,警察等等 华人注意一点,会抓兵,看你是华人,13,会说你和诈骗有关然后要带你走,大家注意,也顺便想问问,这是怎么回事?怎么那么多查的?今天?是要干战了?还是? 妙瓦底KBZ银行2往亚太方向直走1千米有一处,1号码头出来一点有一处,亚太进妙瓦底有一处,国门(物流国门)那边红绿灯十字路口有一处 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

5👏5🔥3😁3😢3🎉2👍2🤩2

23 Sept 2026, 13:34 UTC16 views25 reactionsread 24 September 2026
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#柬埔寨资讯:西港警方查处一起网络诈骗案,抓获12名印尼籍嫌疑人 当地宪兵近日在西哈努克省西哈努克市2号分区1村一处排屋内,开展打击网络诈骗(Online Scams)行动,现场抓获12名印度尼西亚籍嫌疑人,其中包括3名女性。 行动在柬埔寨国家宪兵总司令索·速哈及西哈努克省省长等方面指示下进行,由西哈努克省宪兵司令亨·本迪直接指挥,并在省初级法院检察机关协调下,对涉事地点实施搜查。 行动中,执法人员查获: 一体式台式电脑(All-in-One)13台 个人手机19部 用于网络活动的手机28部 SIM卡52张 护照8本 工作证2张 身份证2张 银行卡2张 目前,12名嫌疑人已被移交西哈努克省宪兵司令部接受进一步询问,并将依法处理。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

🔥54👍4🤩4👏3😢3🎉1😁1

23 Sept 2026, 13:18 UTC894 views25 reactionsread 24 September 2026
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#群友爆料:金边诺蒂斯酒店,今天下午好多警察带着4月份被抓的狗推和盘总来指认现场。红色衣服的是盘总。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

4👍4🔥4😢4👏3🎉2🤩2😁2

23 Sept 2026, 13:07 UTC855 views25 reactionsread 24 September 2026
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#今日审查: 各公司负责人检查今日组员工作效率 少于15000字工作态度都是不端正的!该拉去电的就拉去电。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

😢54🎉4👏4😁4🤩2👍1🔥1

23 Sept 2026, 12:54 UTC15 views24 reactionsread 24 September 2026
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#柬埔寨资讯:金边7玛卡区持续开展外国人住宿场所检查,查处网络诈骗活动 9月23日,金边市7玛卡区区长腾·索特(Theng Sothul)继续带队开展外国人住宿管理检查行动。 行动重点检查酒店、公寓、宾馆、企业及各类住宅等外国人集中居住场所,并进一步针对涉嫌从事网络诈骗(Online Scams)的违法活动展开查处。 行动中,执法人员拘留部分外国人,并查扣一批相关物品。目前,案件及相关人员情况仍在进一步调查处理中。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

🎉5🔥54😢4😁3👍2👏1

23 Sept 2026, 12:38 UTC30 views25 reactionsread 24 September 2026
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网友投稿:缅甸“小勐拉”刚刚又有人跳楼了,不知道是不是又是一个在赌场里输到怀疑人生的赌客。 上个月我听我女朋友说勐拉近期发生了6起跳楼事件,其中有两个是中国边民 ,贷款几百万和赌场拼输赢,结果输了想不开在勐拉跳了。 听说自从跳了两个边民后现在打洛口岸又开始管控了。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

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23 Sept 2026, 12:33 UTC878 views25 reactionsread 24 September 2026
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澳大利亚5次请求柬埔寨协查电诈 柬埔寨国家警察总署表示,近年来已根据澳大利亚联邦警察提出的5次请求,对涉嫌网络诈骗案件展开协查,涉及加密货币诈骗、网络勒索等跨境犯罪。柬方称,相关请求均已采取行动并向澳方反馈调查结果。 报道指出,澳大利亚正加强与柬埔寨在打击电诈方面的合作。 ️ 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

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Showing the 12 most recent of 793 posts we hold for @xinwenzix. 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 7 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.

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

“东南亚新闻网” (@xinwenzix), 54,183 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xinwenzix.

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.