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Channel

泰国新闻

@dnyzx192

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

52,162subscribers

-3,144 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-1001682153157
TypeChannel
Username@dnyzx192
Description泰国新闻资讯,一手新闻,关注热点新闻。 投稿爆料联系小编: @larencc
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 live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/dnyzx192

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 33% 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/255717 Aug 2026, 10:08 UTC@dnyzx192/9832 · this entry7 Aug 2026, 10:13 UTC1.005 minutes
@xinwenzix/255757 Aug 2026, 10:17 UTC@dnyzx192/9835 · this entry7 Aug 2026, 10:25 UTC1.008 minutes
@xinwenzix/255827 Aug 2026, 11:09 UTC@dnyzx192/9838 · this entry7 Aug 2026, 11:10 UTC1.00under a minute
@xinwenzix/255927 Aug 2026, 11:40 UTC@dnyzx192/9844 · this entry7 Aug 2026, 11:46 UTC1.006 minutes
@xinwenzix/255977 Aug 2026, 11:55 UTC@dnyzx192/9848 · this entry7 Aug 2026, 11:58 UTC1.003 minutes
@xinwenzix/256157 Aug 2026, 12:57 UTC@dnyzx192/9862 · this entry7 Aug 2026, 13:06 UTC1.008 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinwenzix7 (7/7 hand-verifiable sample passed)1.005 minutes@xinwenzix (7–0)

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. 7 of the 7 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 19 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. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

50,54260,11255,3277 August 2026 — 55,306 subscribers8 August 2026 — 55,075 subscribers9 August 2026 — 54,711 subscribers10 August 2026 — 54,309 subscribers11 August 2026 — 54,131 subscribers12 August 2026 — 53,777 subscribers13 August 2026 — 53,677 subscribers14 August 2026 — 53,513 subscribers16 August 2026 — 53,135 subscribers17 August 2026 — 52,737 subscribers18 August 2026 — 52,493 subscribers19 August 2026 — 52,409 subscribers20 August 2026 — 52,326 subscribers21 August 2026 — 52,272 subscribers23 August 2026 — 52,007 subscribers24 August 2026 — 51,591 subscribers25 August 2026 — 55,770 subscribers26 August 2026 — 54,054 subscribers27 August 2026 — 52,212 subscribers28 August 2026 — 50,542 subscribers29 August 2026 — 60,112 subscribers30 August 2026 — 59,052 subscribers31 August 2026 — 58,006 subscribers1 September 2026 — 57,207 subscribers3 September 2026 — 56,232 subscribers5 September 2026 — 54,801 subscribers8 September 2026 — 53,046 subscribers10 September 2026 — 54,782 subscribers13 September 2026 — 53,270 subscribers14 September 2026 — 52,227 subscribers16 September 2026 — 58,424 subscribers18 September 2026 — 56,337 subscribers25 September 2026 — 52,162 subscribers52,1627 August 202625 September 2026
33 measurements spanning 49 days, net -3,144. 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 49,107–61,548 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 12:1952,162-4,175
18 Sept 2026, 23:2156,337-2,087
16 Sept 2026, 12:3858,424+6,197
14 Sept 2026, 13:5852,227-1,043
13 Sept 2026, 00:2253,270-1,512
10 Sept 2026, 23:1854,782+1,736
8 Sept 2026, 02:2053,046-1,755
5 Sept 2026, 01:3854,801-1,431
3 Sept 2026, 06:2656,232-975
1 Sept 2026, 22:5657,207-799
31 Aug 2026, 20:0558,006-1,046
30 Aug 2026, 19:5459,052-1,060
29 Aug 2026, 21:1360,112+9,570
28 Aug 2026, 19:4650,542-1,670
27 Aug 2026, 18:1452,212-1,842
26 Aug 2026, 17:0454,054-1,716
25 Aug 2026, 16:5855,770+4,179
24 Aug 2026, 18:4551,591-416
23 Aug 2026, 06:1452,007-265
21 Aug 2026, 18:1852,272first reading

Engagement

1,090 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 109 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.39%
avg views ÷ 52,162 subscribers
Avg views / post
726
627 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
627
of 1,090 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 168 of 627 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 29 September 2026
Posts held1,090 (7 August 2026 – 29 September 2026)
Views total455,410
Reactions total168
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 17:03 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
≈9,410
Videos
≈1,530
Links
≈5,350

Lifetime counters from Telegram’s own channel header, read 29 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 59m
Average length
41s

Measured directly from 353 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

170 reactions across 170 posts, in 10 distinct kinds. The most used accounts for 17.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3017.6%
❤‍🔥2313.5%
💔2212.9%
🍌1810.6%
👌169.41%
👏169.41%
❤158.82%
👎158.82%
🔥148.24%
💯10.588%

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 170 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 170 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 10 August 2026 to 29 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

29 Sept 2026, 15:19 UTC840 viewsread 29 September 2026
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中国驻菲律宾使馆提醒来菲中国公民防范被诱骗绑架勒索 央视网消息:据中国驻菲律宾使馆消息,近期,菲律宾警方破获多起针对中国公民的绑架勒索案件,成功解救受害者并逮捕犯罪嫌疑人。相关团伙主要针对单独出行的年轻中国公民实施犯罪。嫌犯一般通过网络结识受害者,或冒充其熟人,以旅游、商务等名义邀请其来菲,并主动为其安排机票和住宿。受害者抵菲后,嫌犯接机并将其带至某隐秘地点,随即限制其人身自由,扣留其护照、手机及随身财物,并向家属勒索赎金,部分受害者还面临人口贩卖的风险。 中国驻菲律宾使馆再次郑重提醒来菲或在菲中国公民切实提高防范意识,对类似网络邀约保持高度警惕,不接受陌生人提供的机票、住宿安排,不向通过网络结识人员透露自己的行程及身份信息,避免遭遇绑架勒索,甚至产生更为严重的后果。 如遇紧急情况,请联系: 菲律宾报警急救电话:911 中国驻菲律宾使馆领保协助电话:0063-2-82311033 中国驻宿务总领馆领保协助电话:0063-3…

29 Sept 2026, 15:12 UTC852 viewsread 29 September 2026
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#台球媛 骚女人 会玩哦 一杆进洞 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:58 UTC893 viewsread 29 September 2026
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#国内新闻 直播间“挖玉”3个月骗走近70万元 到手原石全是玻璃 9月28日,央视新闻披露北京海淀区检察机关办理的一起直播诈骗案件。北京男子付先生在直播间购买“玉石原石”,3个月花费近70万元,收到数百块石头后送检,结果发现全部是玻璃和大理石冒充。 付先生原本打算在跨境电商平台销售玉石,看到直播间主播每天在“新疆和田河边”挖玉,并通过竞拍方式出售原石,认为价格便宜,便持续购买。 交易期间,主播引导付先生转到微信付款。几个月后,付先生准备上架商品时发现平台要求提供鉴定报告,送检结果显示,这些所谓玉石并没有收藏价值。 警方调查发现,主播直播地点并不在新疆和田,而是在河南一处干枯河床。嫌疑人提前购买染色大理石和玻璃制品,埋入河床沙土中,再通过直播制造“现场挖玉”的假象。 直播时,主播只拍摄手和脚下泥沙,很少展示周围环境,并使用“玉窝”“鱼窝”“金毛”“钙化层”等专业术语增加可信度。直播间里的竞拍热闹场面也经过安排,部分参与出…

29 Sept 2026, 14:55 UTC871 viewsread 29 September 2026
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#网友反馈:缅甸木姐是不是又有大佬开几百万的大单了,烟花都放了十几分钟,不知是哪个家庭,支离破碎了。 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:51 UTC863 viewsread 29 September 2026
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#缅甸新闻:边境诈骗园区内幕 未满18岁儿童遭性剥削与人口贩卖 在边境地区,灰色资本集团——尤其是诈骗团伙——将魔爪伸向未满18岁的儿童,对他们进行招募和剥削。 这些儿童不仅被迫在封闭园区内从事网络诈骗,女孩们在业绩不达标时,还面临被强迫提供性服务的风险。 令人震惊的是,这一人口贩卖链条之所以能够运转,离不开泰缅边境一侧人员的配合与纵容。 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:45 UTC837 viewsread 29 September 2026
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#马来西亚新闻:移民局启动遣返缅甸难民计划 马来西亚内政部联合移民局等部门,于今天在红土坎执行了“OPS PIER 1.0”第一阶段遣返行动,共遣返1,476名缅甸籍被拘留者。 本次行动系马缅两国政府达成协议的成果,计划分阶段遣返共5,000名缅甸籍人员。所有被遣返者均已完成身份核实、国籍确认、文件办理及健康检查。 双方强调,整个遣返流程均在安全、有序、自愿及合乎法律程序的原则下执行。 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:41 UTC850 viewsread 29 September 2026
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#网友投稿:西港蓝色海湾明天可能开展临时检查,具体以物业或官方通知为准,请住户备好相关证件。配合检查!! 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:33 UTC823 viewsread 29 September 2026
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#网友吐槽:今天离开柬埔寨。 来这里5个月,这5个月里,听得最多的就是失踪人口、绑架、跑路、被抓。很多人入境柬埔寨,最初都是奔着赚钱来的,可真正能赚到钱的,永远就那么少数几个人,而且收入还极其不稳定。 这边现在连最基本的生存空间都越来越少了,没有稳定的人事岗位,也没有多少真正能赚钱的机会。偶尔有人打打野,也很难真正存下钱。说实话,这个行业已经没有什么生存的地方了。冒着这么大的风险,付出和得到根本不成正比。 更让人难受的是,在这里不只是担心被抓,有时候还要担心遇到警察敲诈、索要钱财。每天都提心吊胆,生怕自己哪天莫名其妙就出问题。 很多在柬埔寨的中国人,根本不敢轻易跳槽,也不敢随便换公司。不是不想走,而是大环境摆在那里,谁都怕换个地方又掉进另一个坑里。 等到回国,可能还要面临询问。算来算去,为了这点不稳定的钱,承担这么大的风险,真的不划算。 来了5个月,今天终于离开。柬埔寨这个地方,对有些人来说是机会,对更多普通人来说,…

29 Sept 2026, 14:21 UTC834 viewsread 29 September 2026
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哈努克国王和莫尼列王太后明日下午回国 柬埔寨国王诺罗敦·西哈莫尼和莫尼列王太后将在中国北京完成健康检查后,于9月30日下午返回柬埔寨。 两人此次在北京停留约一个月,期间接受健康检查和医疗照护。回国时,国家领导人、参议院和国会领导、王室成员以及多名柬埔寨和外国高级官员,将在德崇国际机场迎接。 据悉,西哈莫尼国王和莫尼列王太后每年都会前往北京进行两次定期健康检查,并由中国医疗专家团队负责照护。 两人在中国期间,参议院主席洪森担任柬埔寨代理国家元首,代行国家元首相关职责。 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅 ✅频道互推

29 Sept 2026, 14:09 UTC836 viewsread 29 September 2026
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#小姐姐投稿:东南亚的爱情 2023年,我在KK认识了前男友,那时候我才19岁。他是江西人,我当时有很多选择,但因为他对我好,我还是选择了他。可在一起后,他什么都要控制,连社交账号都不让我自由使用。那时候我很爱他,他对我做什么,我都愿意接受。 他每个月最多给我两三万泰铢,但这笔钱是我们两个人一起花的,连去酒店开房的钱也从里面出。在一起一年多后,他问我钱都花到哪里去了,我不知道该怎么回答。 他经常骂我,也打过我。那时候我一直以为他只有我一个人。我还怀过他的孩子,可他不想要,让我打掉。那时我连去医院的钱都没有,打掉孩子后只休息了一个星期,就得继续上班。 后来10月份KK没了,我们分开了,但并没有分手。之后他还给了我1.8万,我以为他很爱我,还是相信他。 2026年2月,我找到工作开始上班,他却开始不怎么理我了,态度也跟以前不一样。我还没弄明白怎么回事,过了几天,他就提出分手。我不同意,问他是不是因为没钱了。他说没钱给我花,…

29 Sept 2026, 14:00 UTC≈1,090 viewsread 29 September 2026
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29 Sept 2026, 13:58 UTC835 viewsread 29 September 2026
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#韩国资讯:2名中国女游客济州岛遭5名中国男子囚禁施暴抢劫,3人落网2人已逃回中国 韩国济州岛西归浦警方9月28日公布,2名20多岁的中国女游客在济州岛旅游期间,遭5名中国籍男子囚禁、殴打并抢劫。目前3名嫌疑人已被羁押,另外2人在警方接报前已经离开韩国返回中国。 案件发生在9月21日下午。2名女子在西归浦市一处独栋住宿设施内遭5人控制,不仅被殴打、限制人身自由,手机、平板电脑等物品也被抢走,还被迫通过银行账户转出10万元人民币,约合2000万韩元。 9月22日下午,其中1名女子成功逃出后向住宿设施工作人员求助并报警。警方赶到后当场抓获2名嫌疑人,当晚又在济州国际机场出境大厅截住第3名准备搭乘航班离境的男子。 另外2名嫌疑人当天上午已经乘机返回中国。韩国警方正通过国际刑警组织等渠道追查两人,并继续调查5人的具体作案经过。 有韩国媒体报道称,2名受害女子彼此认识,并经介绍前往涉案男子的住宿处。不过,警方尚未确认受害者与嫌疑…

Showing the 12 most recent of 1,090 posts we hold for @dnyzx192. 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 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“泰国新闻” (@dnyzx192), 52,162 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/dnyzx192.

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.