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Channel

华人时报|海外版

@hrshibao

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

275,923subscribers

+46,821 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001539673605
TypeChannel
Username@hrshibao
Description吃瓜 · 曝光 · 热闻 · 真相 不站队,只看事实 真情贴近海外读者 真诚服务华人华侨 小编: @HRsbxb
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 live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/hrshibao

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 8 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 the other topics.

Growth

229,102275,923252,512.57 August 202613 November 2026
65 measurements spanning 98 days, net +46,821. 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 222,079–282,946 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 22:45275,923+1,733
11 Nov 2026, 03:48274,190+1,097
9 Nov 2026, 11:56273,093+736
8 Nov 2026, 00:49272,357+722
6 Nov 2026, 20:07271,635+618
5 Nov 2026, 21:09271,017+641
4 Nov 2026, 23:01270,376+565
4 Nov 2026, 02:00269,811+490
3 Nov 2026, 04:07269,321+326
2 Nov 2026, 02:11268,995+622
1 Nov 2026, 01:17268,373+452
30 Oct 2026, 23:34267,921+727
29 Oct 2026, 22:29267,194+192
28 Oct 2026, 23:18267,002+637
27 Oct 2026, 23:39266,365+499
26 Oct 2026, 21:40265,866+473
26 Oct 2026, 00:54265,393+481
25 Oct 2026, 04:07264,912+671
24 Oct 2026, 03:19264,241+576
23 Oct 2026, 05:38263,665first reading

Engagement

1,474 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 307 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.89%
avg views ÷ 275,923 subscribers
Avg views / post
10,700
427 posts measured
Reaction rate
0.299%
reactions ÷ views · ER floor
Posts in window
427
of 1,474 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 426 of 427 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 14 November 2026
Posts held1,474 (7 August 2026 – 14 November 2026)
Views total4,579,002
Reactions total13,661
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 21:38 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
≈4,600
Videos
≈581
Links
≈3,890

Lifetime counters from Telegram’s own channel header, read 14 November 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
1h 25m
Average length
43s

Measured directly from 121 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

19,674 reactions across 989 posts, in 16 distinct kinds. The most used accounts for 60.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11,96160.8%
❤1,6748.51%
🔥1,3746.98%
👏7003.56%
custom 62917809271608511846273.19%
custom 62938650085016286364862.47%
custom 62916957321895702044642.36%
custom 52198725645699721664502.29%
custom 62917382910205048023621.84%
🙏3621.84%
🥰3181.62%
custom 62941927059163781753161.61%
custom 53751357225146855012781.41%
custom 61294968119471677621650.839%
custom 5406913184810409829690.351%
custom 5386587088873331829680.346%

Custom emoji. 10 of the rows above are 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 990 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 19,674 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 5 September 2026 to 14 November 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.

Telegram Stars

Stars received
34
across the posts below
Posts paid on
9
of 1,000 we hold a reading for · 0.9%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hrshibao. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 5 September 2026 to 14 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 33 of 427 posts held from the last 30 days (7.73%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 15:41 UTC≈5,820 views47 reactionsread 14 November 2026
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【芭堤雅抓获台湾籍通缉犯,身负15项通缉涉谋杀、洗钱及诈骗7000万泰铢】 泰国警方近日在春武里府芭堤雅展开抓捕行动,成功逮捕一名50岁台湾籍男子 Teng Chi Chen。该男子在台湾身负15项通缉,涉及1起谋杀案、1起洗钱案以及13起诈骗案,涉嫌诈骗金额超过7000万泰铢。 据报道,嫌疑人此前逃往泰国,并将旅游签证转换为退休签证,长期在当地居留。期间,他还与两名泰国合伙人共同成立一家珠宝公司,并担任公司董事。 根据台湾方面提供的线索,驻泰台北经济文化办事处向泰国旅游警察通报相关情况。泰国警方随后锁定嫌疑人藏匿于春武里府芭堤雅邦拉蒙县农普鲁地区。 当地移民局先行撤销其签证,并联合旅游警察展开抓捕部署。11月12日下午5时许,嫌疑人走出住所时被警方当场逮捕。 警方目前正在调查其名下珠宝公司的银行账户及资金往来,排查是否存在利用公司转移犯罪所得的情况。不过,截至目前,尚未发现该公司与台湾方面的相关案件存在直…

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14 Nov 2026, 14:49 UTC≈7,020 views57 reactionsread 14 November 2026
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【马来西亚今年6195人因涉及非法经营活动被捕,印尼籍人数最多】 11月14日报道,马来西亚移民局持续加强全国执法行动。移民局总监扎卡里亚表示,截至2026年10月15日,全国已有6195人因涉及非法经营活动被逮捕,其中印尼籍人士占最多,共2280人。 根据移民局公布的数据,被捕人员的国籍分布如下: 印尼籍:2280人 缅甸籍:1742人 孟加拉籍:936人 泰国籍:761人 印度籍:476人 此外,移民局联合地方政府展开216次执法行动,期间共检查3387名外国人,并逮捕487名非法移民及11名雇主。 移民局指出,目前全国已确认224个非法移民聚集热点,其中29个被列为红色高风险区域,分布在全国12个州属。 当局表示,未来将继续加强与地方政府的合作,针对非法移民聚集区域及涉嫌非法经营活动的场所展开执法,以遏制非法经营和移民违法问题。 ( 时报小编 ——来源:@HrShibao)

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14 Nov 2026, 14:46 UTC≈8,450 views44 reactionsread 14 November 2026
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14 Nov 2026, 13:32 UTC507 views47 reactionsread 14 November 2026
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【雪兰莪 移民局突击检查三个地点,34名外国人被捕!有人躲床底企图逃避检查】 马来西亚雪兰莪州移民局于展开联合执法行动,突击检查 Kampung Baru Subang、Ampang 及 Hulu Langat 三个地点,共检查38人,并逮捕34名外国人。 据报道,此次行动共出动18名移民局执法人员,涉及 Ops Sapu、Ops Selera 及 Ops Kutip 三项执法行动。 行动期间,执法人员在检查过程中发现,部分外国人试图躲藏在床底等地方,以逃避执法人员检查,但最终仍被发现。 在 Ampang 地区的行动中,共有10名外国人被捕,包括8名缅甸籍、1名印尼籍及1名印度籍人员。此外,Hulu Langat 地区也有一名波兰籍人员落网。 此次行动累计检查38人,逮捕34名外国人。执法部门同时向一名相关人士发出证人传票,并对一名雇主采取行动。 被捕人员涉嫌违反马来西亚《1959/63年移民法令》及《1…

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14 Nov 2026, 12:18 UTC≈8,450 views58 reactionsread 14 November 2026
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【网赌祖师爷 闽南人“王水明”】 新加坡最大洗钱案的主角王水明,被CNA拍成纪录片连载起底了。江湖上叫他“祖师爷”——菲律宾网赌的祖师爷。 福建泉州安溪人,2010年跑到菲律宾,最早是卖彩票预测软件的。2012年创办恒博娱乐,搞出给赌博平台供技术、拉代理的“包网”模式,后来的半个菲律宾网赌圈,都是跟他学的。巅峰的时候手下上万人,控着七到十个赌博集团。 他真正封神的,是团队研发的“大发系统”。 玩快三的应该都听过。柬埔寨、缅甸、迪拜的网赌公司,用的都是这套系统,圈内口碑是“相对公平,不轻易杀猪”。别人是开盘的,他是给开盘的人供系统的,祖师爷三个字就是这么来的。 但这钱烫手:在国内违法,钱回不去;在菲律宾骗赌客,监管查到能全部没收。他需要新身份,和一个藏钱的地方。 第一步,柬埔寨。 2016年,他在金边郊外注册了一家“大明信息技术”公司,CNA记者实地去找,注册地址是一块空地,纯空壳。2019年,他花钱入了…

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14 Nov 2026, 11:10 UTC≈10,100 views52 reactionsread 14 November 2026
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【一句“我爱你,哥哥”!60岁大叔被骗4万多新元,报警后仍相信对方会还钱】 新加坡一名60岁德士司机郑先生,今年8月在脸书认识一名自称“Ella Ang”的女子,两人聊得投缘,还以兄妹相称。 认识仅12天,对方便以海外船务生意遇到困难、急需资金为由向他借钱。从9月5日起,郑先生先后汇款超过12次,总额高达43,740新元(约4.37万新元)。 每次收到钱,对方还会甜甜地说一句:“我爱你,哥哥。” 为了帮助这位素未谋面的“妹妹”,郑先生甚至向妻子、孩子、母亲和亲妹妹借钱,其中亲妹妹就借给他2万多新元。 后来,妻子发现对方提供的身份证和护照照片有问题,便陪他报警。 但最让人无奈的是,报警后郑先生仍与对方保持联系,坚信她会还钱。 对方甚至继续向他索要吃饭钱和机票钱,遭拒后还反过来责骂他不肯帮忙。 郑先生却坚持认为,自己只是出于好心帮助别人,并不是因为对方漂亮,也没有任何不正当关系。 ( 时报小编 ——来源…

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14 Nov 2026, 10:01 UTC≈9,730 views53 reactionsread 14 November 2026
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【新加坡最大洗钱案关键人物王水明发家史曝光:借道柬埔寨入籍隐匿百亿网赌黑金】 据亚洲新闻台(CNA)深度纪实报道《十亿洗钱案》披露,新加坡史上最大规模洗钱案的核心涉案人物王水明,早年出身中国贫困家庭,后通过在菲律宾经营非法网络赌博业务迅速聚敛巨额财富。 然而,由于中国法律严厉打击境外开设赌场及跨境赌博,其非法所得无法直接回流境内;同时在菲律宾又面临赌客欺诈指控及监管取缔风险。为洗白身份并转移隐匿巨额黑金,王水明随后辗转前往柬埔寨,通过投资捐献渠道获取该国公民身份。 该调查报道深度还原了其如何利用多国护照与跨境金融网络,最终在新加坡演变为轰动全球的特大洗钱窝点核心主脑的全过程。 ( 时报小编 ——来源:@HrShibao)

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14 Nov 2026, 09:16 UTC≈9,590 views47 reactionsread 14 November 2026
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14 Nov 2026, 08:37 UTC≈9,660 views62 reactionsread 14 November 2026
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【缅甸掸邦三个月逮捕759名外国人,502人为中国籍,涉网络诈骗及网络赌博】 据缅甸官方媒体《Myanmar Digital News》报道,缅甸当局公布掸邦近期打击网络诈骗及网络赌博行动数据。2026年8月1日至10月31日期间,执法部门在掸邦多个边境地区共逮捕759名涉嫌参与网络诈骗及网络赌博活动的外国籍人员,其中502人为中国籍。 据官方通报,执法人员在检查行动中查获的电脑及手机后发现,相关犯罪活动主要针对中国公民,涉及冒充军警及政府官员、虚假投资、杀猪盘以及网络交友诈骗等多种诈骗手段。涉案人员使用QQ、微信、Telegram、Litmatch等社交及通讯平台与受害者联系,实施诈骗活动。 缅甸当局表示,后续将继续加强边境地区执法力度,并与邻国开展合作,共同打击跨境网络诈骗及网络赌博犯罪活动。 此次公布的数据反映出,缅甸掸邦边境地区针对网络诈骗及网络赌博的整治行动仍在持续推进,外籍涉案人员已成为当地…

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14 Nov 2026, 07:41 UTC≈11,600 views59 reactionsread 14 November 2026
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【佤邦司法委向中方移交6名中国籍涉案人员】 缅甸佤邦司法委先后在云南普洱孟连县勐啊口岸,向中国警方移交6名中国籍涉案人员。其中,5人涉嫌假钞相关犯罪,另有1人为中方请求协助缉捕的涉案人员。 据佤邦新闻局报道,11月12日上午,佤邦司法委向中方移交了5名涉嫌假钞犯罪的中国籍人员。此前,中方曾发函请求协助缉捕。佤邦司法委接函后,依托中方提供的情报线索,与中方执法部门协同开展行动,成功将5人抓获并移交。 此外,佤邦司法委近日还在勐啊口岸向中国警方移交了1名中国籍涉案人员。该人员同样是中方发函请求协助缉捕的对象。接函后,佤邦司法委迅速研判线索、组织追缉,并在中方情报支持下将其抓获归案。 佤邦新闻局表示,相关行动体现了双方执法部门的协作 ( 时报小编 ——来源:@HrShibao)

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14 Nov 2026, 06:35 UTC≈10,200 views42 reactionsread 14 November 2026
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✅️ 华 人 时 报 福 利 活 动 🎖️ 讨论区每日签到、每日评论发言或通过邀请链接成功邀请用户均可得积分。 1️⃣ 积分可兑换Telegram会员、典藏礼物或进入奖金池。 2️⃣ 评论区抽奖(每晚20点) 随机数字抽取三条评论(以第一条评论为准),从中抽取一位。 🎁PS:还有黑底典藏礼物赠送等福利活动。 ( 时报小编 ——来源:@HrShibao)

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14 Nov 2026, 06:35 UTC≈10,400 views54 reactionsread 14 November 2026
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【泰国推出加密货币支付试点!外国游客可用USDT、USDC扫码消费】 泰国正式面向外国游客推出加密货币支付应用WORPT,游客无需开设泰国银行账户,就能将加密货币兑换成泰铢,在当地商店、餐厅扫码消费。 目前,该应用支持USDT、USDC兑换泰铢,并通过泰国常用的PromptPay二维码完成支付。 需要注意的是,商家实际收到的仍然是泰铢,并非加密货币。 据了解,WORPT由Wipay与Waan Exchange联合开发,创始人包括泰国正大集团谢国民家族成员Chaval Jiaravanon,目前在泰国证监会TouristDigiPay监管沙盒框架下试运行。 ( 时报小编 ——来源:@HrShibao)

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Showing the 12 most recent of 1,474 posts we hold for @hrshibao. 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

@hrshibao edited 9 posts 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
28 August 2026
Most recent edit
13 November 2026

Posts recorded as deleted after publishing

We recorded 140 posts on @hrshibao as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
14 November 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
35

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“华人时报|海外版” (@hrshibao), 275,923 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/hrshibao.

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.