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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

271,635subscribers

+42,533 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
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 live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 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

229,102271,635250,368.57 August 20266 November 2026
61 measurements spanning 91 days, net +42,533. 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 222,722–278,015 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
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, 05:38263,665+505
22 Oct 2026, 03:06263,160+631
20 Oct 2026, 18:48262,529+680
19 Oct 2026, 17:57261,849+632
18 Oct 2026, 18:38261,217first reading

Engagement

1,360 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 286 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.01%
avg views ÷ 271,635 subscribers
Avg views / post
10,900
419 posts measured
Reaction rate
0.21%
reactions ÷ views · ER floor
Posts in window
419
of 1,360 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held1,360 (7 August 2026 – 6 November 2026)
Views total4,560,497
Reactions total9,599
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 15:38 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

Video runtime
1h 29m
Average length
40s

Measured directly from 135 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

15,701 reactions across 989 posts, in 16 distinct kinds. The most used accounts for 59.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9,36159.6%
❤1,75011.1%
🔥1,4689.35%
🥰6163.92%
👏4192.67%
custom 62917809271608511843702.36%
custom 52198725645699721663051.94%
custom 62917382910205048022401.53%
custom 62938650085016286362271.45%
🙏2201.40%
custom 62916957321895702042141.36%
custom 53751357225146855012101.34%
custom 62941927059163781751500.955%
custom 6129496811947167762900.573%
custom 5406913184810409829360.229%
custom 5386587088873331829250.159%

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 991 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 15,701 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 29 August 2026 to 6 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 29 August 2026 to 6 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: 31 of 419 posts held from the last 30 days (7.40%) 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).

6 Nov 2026, 15:35 UTC299 views22 reactionsread 6 November 2026
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【国内网信部门从严查处利用AI技术假冒仿冒公众人物问题】 针对利用AI技术假冒仿冒知名公众人物虚假带货、吸粉引流、误导网民等问题,网信部门督促网站平台深入开展集中整治,从严查处违法违规信息和账号,累计清理违法违规信息4.7万余条,处置账号3961个。 为进一步加强警示教育,现将查处的部分典型案例通报如下: 1.未经授权假冒仿冒公众人物带货。 微信账号“花记”“时叙”“秀8”、抖音账号“微天”“S物”、小红书账号“小C”“瓦**款”未经授权,利用AI技术仿冒名人肖像、合成名人声音,或者盗用公众人物家属肖像照片、形象变体等进行商品推广、引流带货。相关账号已被依法依约处置。 2.滥用公众人物形象炮制谣言信息。 微信账号“山话”“旧故”盗用公众人物肖像照片,利用AI特效编造公众人物患阿尔兹海默症等谣言信息,误导公众。相关账号已被依法依约处置。 3.假冒公众人物诱导用户关注。 抖音账号“才河”、小红书账号“秋…

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6 Nov 2026, 15:18 UTC≈1,250 views44 reactionsread 6 November 2026
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【菲律宾假借打击非法POGO之名抢劫勒索中国商人!7名警察涉案,11人遭刑事起诉】 菲律宾再曝执法人员涉嫌勾结犯罪分子,利用打击非法网络博彩(POGO)的名义,对中国籍商人实施绑架、抢劫及勒索。 11月5日,菲律宾国家调查局(NBI)通报,7名警察及4名平民因涉嫌参与针对中国公民的有组织勒索行动,已被提出刑事指控。 案件发生于10月21日,地点位于菲律宾甲米地省阿方索市(Alfonso)一处农庄度假村。一伙持枪人员冒充执法人员,以受害者涉嫌经营非法POGO为由,突然闯入度假村,控制一名中国籍女商人及其同伴。 据受害者陈述,嫌疑人最初索要1000万比索赎金,随后多次降低金额,最终降至700万比索,并要求通过加密货币支付。 除了勒索赎金,嫌疑人还搜刮度假村,抢走约200万比索价值的现金、珠宝、电脑及其他电子设备,并扣押受害者的护照,额外索要50万比索作为归还护照的费用。 受害者随后向菲律宾国家调查局求助。…

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6 Nov 2026, 14:48 UTC≈1,440 views45 reactionsread 6 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)

👍20🔥7custom 62916957321895702045custom 62917809271608511845custom 62938650085016286365👏2❤1

6 Nov 2026, 14:48 UTC≈1,380 views31 reactionsread 6 November 2026
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😃😃😃😃 😃😃😃😃😃😃😃 😃😃😃😃😃😃😃😃 ⚡️😻 新用户注册送3️⃣8️⃣🔤🧧 每人只限领取1次!! 😍8G国际娱乐 华人最稳首选🔤台 😍顶级团队,重金打造,铸造行业标杆 😍视讯全网最高反水🇹🇬%,输赢双边计算反水 😍加拿大PC28综合U台最高赔率,输赢双边计算反水 🥰☺️🥲😊😇 🩷活动救援金、亏损金、返佣金、充值金、闯关奖、充值额外奖、周福利、月福利,频道每日🇺🇸个红包 🐙储备金上亿U 三大头部担保 大玩家最稳首选! 😘 真人视讯😘😘万U一口 😘 PG电子麻将糊了😘😘😘😘U一拉 🐙 大玩家聚集地 大额秒出款 🩷🩷🩷🩷🩷🩷🩷 🩷🩷🩷🩷🩷🩷🩷 🩷🩷🩷🩷🩷🩷🩷 最稳大平台,点击以下链接认证 👇 😍世博联盟-联盛担保1000万U 😍新币28公群 上押300万U 😍okapy钱包-ok28担保上押300万U 😍8G国际娱乐官方福利群 公开透明 😃😃😃😃😃:8G.COM 😃😃😃😃😃: @KF8G 😃😃😃😃😃: @TG

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6 Nov 2026, 14:05 UTC221 views61 reactionsread 6 November 2026
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【金边当哥区持续严查网络诈骗,出租屋、旅馆、仓库等场所成排查重点】 11月6日(周五),金边市当哥区(Dangkor District)继续开展打击网络诈骗专项排查行动。 在当哥区行政统一指挥部的组织下,执法人员对辖区内的出租屋、出租房间、旅馆、沿街店屋、封闭式住宅区(Borey)及仓库等场所展开行政检查。 此次行动重点排查可能被用于网络诈骗活动的场所,进一步加强辖区治安管理,严查涉嫌网络诈骗的违法活动。 ( 时报小编 ——来源:@HrShibao)

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6 Nov 2026, 13:08 UTC≈2,440 views62 reactionsread 6 November 2026
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【印尼移民局突袭丹格朗两地,11名外国人被扣留,其中8人为中国籍】 11月6日报道,印尼苏加诺哈达机场特别移民局联合相关执法部门,11月4日在万丹省丹格朗(Tangerang)的Cengkareng及Kosambi地区展开联合执法行动,重点检查当地企业办公场所及公寓,核查外国人的居留许可及实际活动是否合法。 此次行动共调动77名执法人员,共扣留11名外国人,其中包括8名中国籍人员、2名巴基斯坦籍人员及1名尼日利亚籍人员。 初步调查显示,5名中国籍人员涉嫌滥用居留许可,2名巴基斯坦籍人员涉嫌未按规定申报居住地址,其余4人仍在接受进一步调查。 目前,11名外国人均已被移民部门带走审查。有关部门将根据调查结果,依法决定是否采取进一步移民行政措施,包括遣返等处理。 ( 时报小编 ——来源:@HrShibao)

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6 Nov 2026, 11:38 UTC≈5,840 views62 reactionsread 6 November 2026
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【中国驻加拿大使馆发布防骗提醒:多位在加中国公民反映,遭遇以恋爱为名骗钱、以私密视频相威胁的恐吓诈骗行为】 中国驻加拿大使馆11月4日发文:近期,我馆接到多位在加中国公民反映,遭遇不法分子利用社交媒体、婚恋交友平台,以网络恋爱等方式实施诈骗。驻加拿大使馆提醒在加中国公民: 一、认清常见套路。不法分子可能在诱导“裸聊”或索取私密影像后,以向亲友、学校或单位散布相威胁,索要钱款;谎称入侵设备、掌握私密视频,附上住址、旧密码等信息实施恐吓;以恋爱交友获取信任后,借急病、周转、见面等理由索财,或诱导参与虚假投资。 二、守好隐私和钱袋。不向陌生网友提供私密影像,不轻信视频通话或“阅后即焚”的安全性,不点击不明链接、不安装陌生软件。妥善保护姓名、住址、工作单位、银行账户等个人信息,不因感情承诺、利益诱惑或威胁恐吓转账。 三、遇事及时止损。如遭遇敲诈,不付款、不继续提供影像,保存证据后举报、拉黑相关账号,并向当地警方报案同…

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6 Nov 2026, 10:42 UTC≈4,800 views67 reactionsread 6 November 2026
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【新加坡30亿新元洗钱案再拍卖充公奢侈品!450件拍品总估值逾1200万新元】 涉及新加坡30亿新元洗钱案的第二轮充公奢侈品拍卖会即将举行,共有450件奢侈品参与竞拍,总估值介于890万至1230万新元,其中一条翡翠钻石吊坠项链估价高达40万新元。 据《8视界新闻网》报道,此次拍卖品涵盖爱马仕名牌手袋、百达翡丽高级腕表、珍稀威士忌及高级珠宝等,将分为四场进行。负责拍卖的Hotlotz宣布,网上竞标将于11月9日上午10时正式开放。 本轮拍卖的重点拍品包括一款2021年款爱马仕鳄鱼皮铂金包,估价20万至30万新元;另一款白色喜马拉雅鳄鱼皮铂金包,估价12万至18万新元。 名表方面,一款18K白金百达翡丽Nautilus万年历腕表,估价高达18.5万至25万新元。 此外,珍稀烈酒拍品中还包括全球限量仅两瓶的山崎55年日本威士忌,估价达到25万至30万新元。 Hotlotz表示,今年9月举行的首两场充公奢侈品拍…

👍44custom 62917809271608511846custom 62938650085016286366custom 62941927059163781756🔥3👏2

6 Nov 2026, 09:50 UTC≈5,700 views51 reactionsread 6 November 2026
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【马来西亚甲警方捣破专骗中国人的集团 捕13名男女嫌犯】 (马六甲6日讯)警方突击马六甲甲市区一间住宅单位,捣破专门诈骗中国人的集团,并逮捕13名男女嫌犯。 马六甲中央警区主任哈林表示,甲州商业罪案调查组是于本月4 日在哥打沙班达花园一带展开突击检查。 “警方共逮捕11名中国籍男子、1名中国籍女子和1名台湾男子,他们的年龄介于24岁至36岁之间。所有嫌犯将被延长扣留至本月8日。” 他说,当局也充公了总值约5万令吉的物品,包括12台各品牌手提电脑、1台桌面型电脑、26部各品牌手机以及1台Unifi路由器。 他指出,经过初步调查,上述诈骗集团主要活动为线上爱情诈骗及不存在的加密货币兑换,诈骗目标为中国人。 他说,当局也充公了总值约5万令吉的物品,包括12台各品牌手提电脑、1台桌面型电脑、26部各品牌手机以及1台Unifi路由器。 他指出,经过初步调查,上述诈骗集团主要活动为线上爱情诈骗及不存在的加密货…

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6 Nov 2026, 09:15 UTC≈8,250 views38 reactionsread 6 November 2026
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6 Nov 2026, 08:32 UTC≈8,330 views47 reactionsread 6 November 2026
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【越南警方捣毁跨省色情直播网络,4人被起诉,涉案资金流水超4.189万亿越南盾】 越南老街省公安机关通报,警方成功捣毁一个跨省色情直播犯罪网络,4名涉案人员被依法提起刑事诉讼。 经调查,该团伙自2025年以来在老街省及越南多个省市组织色情直播活动,通过境外色情网站建立直播账号,并利用Telegram、Zalo、Facebook等社交平台招募女性参与色情表演。 据悉,该团伙通过虚拟Token收费,观众可通过银行转账或购买手机充值卡获取Token,用于观看色情直播,并向主播提出指定表演要求。相关资金经过多个银行账户及电子钱包转移,随后兑换成USDT,再向参与直播的女性支付报酬。 警方查明,与该团伙相关的银行账户累计资金流水超过4.189万亿越南盾。截至目前,警方已追回16.5亿越南盾。 目前,Lý Lở Mẩy(23岁)、Lò Tả Mẩy(28岁)、Phạm Văn Trọng(37岁)以及Nguyễn T…

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6 Nov 2026, 07:28 UTC≈8,400 views52 reactionsread 6 November 2026
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【移民局突袭丹格朗两地,11名外国人被扣留,其中8人为中国籍】 11月6日报道,印尼苏加诺哈达机场特别移民局联合相关执法部门,11月4日在万丹省丹格朗(Tangerang)的Cengkareng及Kosambi地区展开联合执法行动,重点检查当地企业办公场所及公寓,核查外国人的居留许可及实际活动是否合法。 此次行动共调动77名执法人员,共扣留11名外国人,其中包括8名中国籍人员、2名巴基斯坦籍人员及1名尼日利亚籍人员。 初步调查显示,5名中国籍人员涉嫌滥用居留许可,2名巴基斯坦籍人员涉嫌未按规定申报居住地址,其余4人仍在接受进一步调查。 目前,11名外国人均已被移民部门带走审查。有关部门将根据调查结果,依法决定是否采取进一步移民行政措施,包括遣返等处理。 ( 时报小编 ——来源:@HrShibao)

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Showing the 12 most recent of 1,360 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 8 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
5 November 2026

Posts recorded as deleted after publishing

We recorded 135 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
6 November 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
52

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

“华人时报|海外版” (@hrshibao), 271,635 subscribers as measured 6 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.