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Channel

新马泰大事件(新闻资讯)@HHCH海华

@haihuadfy

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

53,532subscribers

-1,070 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-1003443348521
TypeChannel
Username@haihuadfy
Description海华唯一总群:@HHCH 担保:@haihuaCC 茶茶+888 8893 担保:@haihuaBB 宝宝+888 8895 广告:@haihuaHH 海姐+888 8536 会员:@haihuaFF 海海+888 8031 公群:@haihuaEE 华华+888 8531 报备:@haihuaJJ 金金+888 8016 新闻:@haihuaYY 海马+888 8517 投诉:@haihuaVIP 华哥+888 8030 海华 联盟 家族 担保 出海 质押 曝光 会员 广告
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 29 September 2026
On Telegramt.me/haihuadfy

Topic

International 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 99% 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
@haihuaoz/15117 Aug 2026, 06:41 UTC@haihuadfy/1519 · this entry7 Aug 2026, 06:41 UTC1.00under a minute
@haihuaoz/15127 Aug 2026, 07:14 UTC@haihuadfy/1520 · this entry7 Aug 2026, 07:14 UTC1.00under a minute
@haihuaoz/15137 Aug 2026, 07:25 UTC@haihuadfy/1521 · this entry7 Aug 2026, 07:25 UTC1.00under a minute
@haihuaoz/15147 Aug 2026, 07:46 UTC@haihuadfy/1522 · this entry7 Aug 2026, 07:46 UTC1.00under a minute
@haihuaoz/15157 Aug 2026, 08:42 UTC@haihuadfy/1523 · this entry7 Aug 2026, 08:42 UTC1.00under a minute
@haihuaoz/15177 Aug 2026, 09:47 UTC@haihuadfy/1525 · this entry7 Aug 2026, 09:47 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@haihuaoz12 (8/8 hand-verifiable sample passed)1.00under a minute@haihuaoz (11–1)

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. 11 of the 11 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 2, the earliest publisher we hold is @haihuaoz. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

49,44165,38357,4127 August 2026 — 54,602 subscribers7 August 2026 — 54,602 subscribers8 August 2026 — 53,703 subscribers9 August 2026 — 53,316 subscribers10 August 2026 — 53,016 subscribers11 August 2026 — 51,917 subscribers12 August 2026 — 51,532 subscribers14 August 2026 — 51,074 subscribers15 August 2026 — 50,828 subscribers16 August 2026 — 49,770 subscribers17 August 2026 — 49,441 subscribers18 August 2026 — 54,267 subscribers20 August 2026 — 54,094 subscribers21 August 2026 — 53,686 subscribers22 August 2026 — 58,729 subscribers24 August 2026 — 58,580 subscribers25 August 2026 — 58,430 subscribers26 August 2026 — 58,000 subscribers27 August 2026 — 57,944 subscribers28 August 2026 — 57,824 subscribers29 August 2026 — 57,411 subscribers30 August 2026 — 56,887 subscribers31 August 2026 — 56,598 subscribers31 August 2026 — 56,466 subscribers1 September 2026 — 56,113 subscribers3 September 2026 — 55,721 subscribers4 September 2026 — 55,452 subscribers8 September 2026 — 54,670 subscribers10 September 2026 — 53,709 subscribers12 September 2026 — 65,383 subscribers14 September 2026 — 60,971 subscribers16 September 2026 — 60,004 subscribers18 September 2026 — 58,083 subscribers29 September 2026 — 53,532 subscribers53,5327 August 202629 September 2026
34 measurements spanning 53 days, net -1,070. 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 47,050–67,774 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
29 Sept 2026, 21:2053,532-4,551
18 Sept 2026, 03:3658,083-1,921
16 Sept 2026, 01:1960,004-967
14 Sept 2026, 10:3960,971-4,412
12 Sept 2026, 19:1665,383+11,674
10 Sept 2026, 21:5853,709-961
8 Sept 2026, 00:0054,670-782
4 Sept 2026, 18:4055,452-269
3 Sept 2026, 04:1855,721-392
1 Sept 2026, 22:5556,113-353
31 Aug 2026, 22:1556,466-132
31 Aug 2026, 01:2256,598-289
30 Aug 2026, 00:1656,887-524
29 Aug 2026, 02:4857,411-413
28 Aug 2026, 05:4657,824-120
27 Aug 2026, 08:5357,944-56
26 Aug 2026, 06:1258,000-430
25 Aug 2026, 04:2558,430-150
24 Aug 2026, 03:1658,580-149
22 Aug 2026, 12:2258,729first reading

Engagement

744 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 115 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.70%
avg views ÷ 53,532 subscribers
Avg views / post
1,980
367 posts measured
Reaction rate
0.052%
reactions ÷ views · ER floor
Posts in window
367
of 744 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 92 of 367 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 3 October 2026
Posts held744 (7 August 2026 – 3 October 2026)
Views total726,315
Reactions total94
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 05:25 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
≈2,330
Videos
≈16
Links
≈748

Lifetime counters from Telegram’s own channel header, read 3 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
1m 35s
Average length
32s

Measured directly from 3 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

115 reactions across 113 posts, in 4 distinct kinds. The most used accounts for 77.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8977.4%
❤2320.0%
👏21.74%
🔥10.87%

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 117 of the 744 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 115 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 744 most recent posts we hold, published 7 August 2026 to 3 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

3 Oct 2026, 03:03 UTC≈2,030 viewsread 3 October 2026
Photo

#菲律宾新闻 涉案 38 亿美元!韩国籍女子在菲落网,掌管 23 个非法博彩网站 菲律宾移民部门在甲米地省抓获 29 岁韩国籍嫌疑人金英善。其所属非法博彩团伙自 2018 年运营,共搭建 23 个博彩网站,投注总额约 5.33 万亿韩元,折合 38 亿美元。金英善是团伙副管理人员,负责部门监督协调。韩国早已对她下发逮捕令,国际刑警发布红色通报。除本案外,菲今年还陆续抓获多名涉博彩韩国嫌犯,有的用虚假身份入境,还有团伙运营色情网站为博彩引流,形成复合型跨境犯罪链条。菲执法机关持续追查资金流向,核查各个犯罪网络之间是否存在关联。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 13:25 UTC≈2,100 viewsread 3 October 2026
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#菲律宾新闻 涉贪案未了!菲律宾塔拉克省议员被停职 90 天 菲律宾桑迪甘巴延反贪法院第六庭 9 月 29 日作出裁决,塔拉克省第三选区众议员诺埃尔・里维拉被预防性停职 90 天,决议 9 月 30 日对外公布。里维拉被指控与拿到政府工程项目的建筑公司存在利益关联,监察专员办公室对其提起两项贪腐指控。法院此前已经驳回他撤销案件的申请,本次认定预防性停职的法定条件已满足,依据《反贪污及腐败行为法》,暂停其众议员及其他公职,停职时间从收到法院裁决当日起算,裁决文件送交众议院议长执行。本次停职仅为案件审理阶段的临时司法措施,不等同于最终定罪,贪腐案件仍在司法审理流程当中。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 09:54 UTC≈2,060 viewsread 3 October 2026
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#泰国新闻 泰国多府遭遇洪水侵袭,23 人遇难,近 70 万人受灾 泰国防灾减灾部门发布灾情,洪水蔓延至全国 29 府,共造成 23 人死亡,北榄府伤亡最重。曼谷积水严重,学校停课,数千居民转移至避难场所。洪水冲击城市交通与日常生活,经济损失预估可达数亿美元。救援人员持续开展救灾安置工作,后续灾情仍存在变数。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 09:08 UTC≈2,080 viewsread 3 October 2026
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#泰国新闻 吸毒致幻觉,男子芭堤雅玩具店持刀挟持店员,警方突击成功解救人质 芭堤雅一名男子吸食毒品后产生幻觉,逃窜闯入玩具店,持剪刀和美工刀挟持店内女员工。女员工借机联系店主报警,警方赶到现场谈判无效,果断破门突击制服嫌疑人,人质安全获救。嫌疑人手部轻微受伤,已被警方带走调查。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 05:56 UTC≈2,110 viewsread 3 October 2026
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#菲律宾新闻 两日连破毒案!塔威塔威省抓捕毒贩,查获 340 万比索冰毒 菲律宾南部塔威塔威省禁毒力度持续加码,继 9 月 28 日破获千万级毒品大案后,9 月 30 日再传捷报。执法部门卧底布控,在毒品交易现场抓获 28 岁涉案男子,缴获 500 克冰毒,估值 340 万比索。该案嫌疑人属于警方重点盯防的高价值目标,由多部门联合精准实施抓捕,全程高效完成现场取证、人赃并获,有力震慑当地贩毒势力。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 04:28 UTC≈2,080 viewsread 3 October 2026
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#菲律宾新闻 身负 8 年旧案!女子马尼拉机场出境被查出逮捕令当场被捕 马尼拉三号航站楼,一名 41 岁女子准备出境,移民官员系统比对发现她持有 2016 年签发的逮捕令,随即阻止其离境并移交警方。案件罪名包含非法招聘以及诈骗,当年法院核定保释金为 8.6 万比索。时隔多年,逮捕令依旧有效,在出境安检筛查环节触发预警。目前嫌疑人被马尼拉警区刑事调查部门关押,工作人员核对案件资料,继续走司法程序。机场移民检查除查验护照签证,也会排查未结案通缉人员,试图出境躲避追责难以实现。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

2 Oct 2026, 03:00 UTC≈2,070 views1 reactionsread 3 October 2026
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#菲律宾新闻 马卡蒂华人遇飞车抢夺!歹徒伪装外卖员,抢苹果购物袋后逃跑 马卡蒂帕松塔莫城地公寓门口,一名华人遭遇飞车抢劫。 男子骑摩托车,穿戴疑似外卖制服与头盔,假意询问地址,趁人不备抢走购物袋。嫌疑人被购物袋标识误导,以为里面是贵重电子商品,实际袋内并无电子产品。事发时保安亲眼目睹事件,没有及时拦截,调取监控需要先行报案。在此提醒在菲华人,出入公寓、小区门口保持警惕,不要使用辨识度高的品牌手提袋,减少被不法分子盯上的风险。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

❤1

1 Oct 2026, 12:47 UTC≈2,110 views1 reactionsread 3 October 2026
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#马来西亚新闻 马来西亚高速升级!Touch n Go 年底再加 10 条增强 RFID 收费车道 Touch 'n Go 在 9 月 30 日发布规划,年底前新增 10 条增强型 RFID 车道,落地五条主要高速公路。该项目是马来西亚迈向多车道自由流收费的重要一步。相比普通 RFID 车道,升级版本配备双 RFID 天线 + 车牌识别系统,双重校验,大幅减少识别失败扣费异常问题。现阶段已有两条车道率先投入试运行,后续陆续开通其余车道,提升高速通行效率。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

👍1

1 Oct 2026, 11:12 UTC≈2,090 views1 reactionsread 3 October 2026
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#越南新闻 越南两女子组织女性偷渡出境婚配,涉人口贩卖获重刑 越南两名女子以介绍跨国婚姻为幌子,组织多名女性偷渡出境,实质上实施人口贩卖犯罪。案件经过审理,两名嫌疑人被法院判处重刑。跨国婚姻背后暗藏人口贩卖陷阱,不少受害者会被限制人身自由,遭受侵害,警惕以介绍海外婚姻为名的违法活动。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

👍1

1 Oct 2026, 10:03 UTC≈2,100 views1 reactionsread 3 October 2026
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#菲律宾新闻 卡坦端内斯省山区打击非法采矿,7 人被捕,现场查获少量疑似黄金 菲律宾卡坦端内斯省警方联合机动部队,突袭圣安德烈斯镇卡本加汉村山区非法采矿点。现场抓获 7 名正在作业的嫌疑人,收缴全套挖掘淘金工具,还查获 0.5 克疑似黄金。虽然查获黄金数量不多,但无证采矿行为触犯当地采矿法律。嫌疑人现已被羁押,将按照《1991 年菲律宾小规模采矿法》追究法律责任。非法采矿会破坏山地生态,菲律宾持续在偏远山区开展这类专项整治行动。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

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1 Oct 2026, 08:47 UTC≈2,080 views1 reactionsread 3 October 2026
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#泰国新闻 曼谷洪灾最新通报:32.9 万户家庭受灾,降雨虽减仍有零星雨水 曼谷市长差察・西迪汶在 9 月 28 日介绍本次洪灾情况,曼谷降雨强度下降,不少片区洪水逐步退去,但多条道路仍被积水覆盖。受西南季风影响,后续还会间断下雨,不利于排涝工作。全市共有 32.9 万户家庭遭受洪水侵袭。当地政府持续调配资源抢险排水,提醒低洼区域居民留意水位变化,做好防灾准备。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

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1 Oct 2026, 07:27 UTC290 views1 reactionsread 3 October 2026
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#泰国新闻 这名警员身兼防治犯罪部门副警长,负责东阿朗镇巡逻与水情上报。事发当日他身着警服巡查洪水,在一处出租屋前突然倒地。家属称死者有高血压病史,但这仅为推测,确切死因有待法医与相关部门检验确认。 🙂‍↔️😞😔😟😕💕💕💕 🖋️ 关注全球大事件频道 🤹‍♂️ ✉️投稿:@haihuaYY 🐨🐯🦁🐮🐷🐽🐸🐵🐻‍❄️

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Showing the 12 most recent of 744 posts we hold for @haihuadfy. 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.

Posts edited after publishing

@haihuadfy edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 September 2026
Most recent edit
18 September 2026

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

“新马泰大事件(新闻资讯)@HHCH海华” (@haihuadfy), 53,532 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/haihuadfy.

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.