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Channel

风向旗参考快讯

@xhqcankao

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

167,873subscribers

+12,398 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001472283197
TypeChannel
Username@xhqcankao
Created5 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xhqcankao

Topic

Technology — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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.

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 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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
@xhqcankao/31287 · this entry7 Aug 2026, 01:31 UTC@xinxianshi/479147 Aug 2026, 02:51 UTC1.0080 minutes
@xhqcankao/31288 · this entry7 Aug 2026, 02:01 UTC@xinxianshi/479157 Aug 2026, 02:51 UTC1.0050 minutes
@xhqcankao/31289 · this entry7 Aug 2026, 02:31 UTC@xinxianshi/479167 Aug 2026, 02:51 UTC1.0020 minutes
@xhqcankao/31292 · this entry7 Aug 2026, 04:03 UTC@xinxianshi/479197 Aug 2026, 04:18 UTC1.0014 minutes
@xhqcankao/31293 · this entry7 Aug 2026, 04:30 UTC@xinxianshi/479207 Aug 2026, 05:45 UTC1.0074 minutes
@xhqcankao/31294 · this entry7 Aug 2026, 05:03 UTC@xinxianshi/479217 Aug 2026, 05:45 UTC1.0042 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinxianshi15 (8/8 hand-verifiable sample passed)1.0044 minutesthis entry (15–0)
@NEWSPJAPK15 (7/8 hand-verifiable sample passed)1.0010 minutesthis entry (15–0)
@kejidiyixian6 (6/6 hand-verifiable sample passed)1.0012 minutesthis entry (6–0)

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. 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 43 comparable posts for this entry, running 5 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 5, the earliest publisher we hold is @xhqcankao — 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 4 other registered channels, 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

155,475167,873161,6746 August 20267 November 2026
63 measurements spanning 93 days, net +12,398. 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 153,615–169,733 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
7 Nov 2026, 04:40167,873+126
6 Nov 2026, 06:39167,747+701
5 Nov 2026, 06:49167,046+100
4 Nov 2026, 08:06166,946+78
3 Nov 2026, 11:21166,868+87
2 Nov 2026, 10:06166,781+106
1 Nov 2026, 09:39166,675+113
31 Oct 2026, 09:59166,562+96
30 Oct 2026, 07:16166,466+69
29 Oct 2026, 07:35166,397+126
28 Oct 2026, 03:10166,271+118
27 Oct 2026, 00:09166,153+76
25 Oct 2026, 21:06166,077+110
24 Oct 2026, 23:16165,967+90
24 Oct 2026, 00:19165,877+57
23 Oct 2026, 00:41165,820+55
22 Oct 2026, 02:10165,765+99
20 Oct 2026, 23:35165,666+96
19 Oct 2026, 19:57165,570+36
18 Oct 2026, 21:08165,534first reading

Engagement

1,664 posts held, back to 5 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.22%
avg views ÷ 167,873 subscribers
Avg views / post
7,080
586 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
586
of 1,664 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 7 November 2026
Posts held1,664 (5 August 2026 – 7 November 2026)
Views total4,146,624
Reactions total60,445
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 03:04 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
2m 41s
Average length
2m 41s

Measured directly from 1 video 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

103,671 reactions across 1,000 posts, in 70 distinct kinds. The most used accounts for 19.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍20,44619.7%
😁18,98118.3%
🤡18,73418.1%
💩9,0408.72%
🤣7,5797.31%
👎4,3694.21%
❤2,5032.41%
😱2,1192.04%
🖕2,0722.00%
🤮1,8061.74%
🎉1,7921.73%
🐳1,6211.56%
🤯1,5351.48%
👏1,2351.19%
🙏9080.876%
🍾8790.848%
🥰7160.691%
🤔6630.64%
🤬5520.532%
😭5450.526%
50 further kinds5,5765.38%

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 1,000 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 103,671 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 13 September 2026 to 7 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
37
across the posts below
Posts paid on
19
of 1,000 we hold a reading for · 2%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @xhqcankao. 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 13 September 2026 to 7 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: 80 of 586 posts held from the last 30 days (13.7%) 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).

7 Nov 2026, 02:25 UTC≈1,180 views7 reactionsread 7 November 2026

《黑道圣徒3:重制版》游戏已上架移动端 《黑道圣徒3:重制版》已经于2026年10月29日正式登陆Android和iOS平台。该移动端版本由著名移植厂商 Feral Interactive 负责发行,属于高品质的官方正版原生移植。 官方定价为19.99美元。完整收录了主机和 PC 原版的全部内容,并免费自带所有原版 DLC,如《Genkibowl VII》、《Gangstas in Space》等。专为智能手机优化了触控操作,同时原生支持外接游戏手柄以及键盘鼠标。游戏安装包和解压所需空间非常大,手机需至少预留 20GB 的剩余空间。 —— Play商店

🔥5👏1🥰1

7 Nov 2026, 01:19 UTC≈2,960 views90 reactionsread 7 November 2026

开发者推出微信输入法敏感词提取器 众所不周知,微信输入法应用存在一个内置的敏感词库。对此,V2EX 论坛中有开发者编写了 “微信输入法敏感词提取器”,旨在从微信输入法安装目录下的内置词库文件提取敏感词。根据介绍,该敏感词库集成在安装包内,命中词汇的输入将无法组词、联想或形成记忆,目前提取出的敏感词大约有 1万余条,主要涉及中国领导人习近平。该工具支持在Windows操作系统环境中运行,通过Python脚本实现,引发了社区对输入法隐私与内容审查的广泛讨论。 —— V2EX

😁73❤6🤡4💩3🍾2🌚1🐳1

7 Nov 2026, 01:13 UTC≈2,920 views47 reactionsread 7 November 2026

苹果输入法自动补全功能秘密设有灰名单 研究人员Derik Kauffman发现,苹果iOS系统隐藏了一份包含约10万个词汇和短语的 “灰名单”。这些词汇虽然可以手动输入,但在预测文本或滑动输入功能中会被限制。名单除包含常见的粗俗、暴力及药物相关用语外,还涉及“Dictator Trump(独裁者特朗普)”、“Sleepy Joe(瞌睡乔)”及“西藏独立”等政治敏感内容。苹果方面未直接置评,仅表示键盘旨在避免提供不当建议,用户始终拥有自主输入权。专家建议,此类涉及内容过滤的机制应提高透明度,并赋予用户更多管理选项。 —— Reuters

👎23😁13🌚3👍3🤷2❤1🤮1🙉1

7 Nov 2026, 00:45 UTC≈3,070 views26 reactionsread 7 November 2026

谷歌宣布投资170亿美元在怀俄明州建设首个数据中心 谷歌正将其数据中心版图扩展至美国西部腹地。这家科技巨头宣布在怀俄明州建设首个数据中心,投资规模高达170亿美元,并引入碳捕获技术与燃料电池发电方案,标志着大型科技公司在数据基础设施建设模式上的一次重要尝试。 谷歌表示,项目预计将为拉勒米县及第一学区带来数亿美元的地方财产税收入,同时推动当地K-12教育、劳动力培训及经济发展。 谷歌同时承诺,将100%自行承担数据中心所使用的全部电力费用,并直接覆盖由自身增长所带来的基础设施建设成本,不将相关负担转嫁至当地社区或公用事业用户。 —— 华尔街见闻

👍15😁5💩4🤡2

6 Nov 2026, 15:01 UTC≈6,060 views91 reactionsread 7 November 2026

欧盟:TikTok的“为你推荐”页面需要改进 欧盟委员会近日发布初步调查结果,指控热门短视频平台TikTok的推荐算法通过提供无休止、重复的内容,导致用户陷入悲伤、孤立或身材焦虑等「兔子洞」效应。欧盟认为TikTok此前实施的缓解措施效果不佳,要求其调整 “为你推荐”页面设计,否则将面临高达全球年度营业额 6% 的罚款。这是欧盟首次根据《数字服务法案》因算法问题对平台提出违规指控。欧盟委员会执行副主席汉娜·维尔库宁强调,TikTok必须采取更多措施保护用户的福祉,尤其是未成年人。 —— The Verge

👍69😁11🤡5🍾2🥰2❤1🌚1

6 Nov 2026, 14:28 UTC≈6,430 views62 reactionsread 7 November 2026

GrapheneOS为Pixel 10系列推送Linux 6.18内核更新 GrapheneOS近日发布了2026110200版本更新,将Linux 6.18内核引入Pixel 10、10 Pro、10 Pro XL及10 Pro Fold四款机型。此次升级使 GrapheneOS 在内核版本上领先于谷歌官方固件(目前仍使用 Linux 6.6)。此外,GrapheneOS团队正计划为旧款Pixel设备适配新内核。针对尚未支持的Pixel 11系列,开发团队称,随着Android 17 QPR2测试版中已出现 Memory Tagging Extension(MTE)固件支持,预计下个月正式版发布后,GrapheneOS将有望支持Pixel 11系列。 —— Android Authority

👍52🥰4😁4🫡2

6 Nov 2026, 14:01 UTC≈6,290 views87 reactionsread 7 November 2026

谷歌遭家长起诉:Gemini被指协助13岁女孩制定轻生计划 一名美国女孩的家长已起诉谷歌及其母公司Alphabet,指控13岁的女儿通过学校配发的Chromebook电脑使用Gemini,并在持续数月的对话中制定轻生及葬礼计划。诉状称,Gemini未能及时将女孩引导至现实中的援助渠道,还曾帮助她隐瞒自身的心理状态。 诉状以“Emma”作为女孩的化名。她在2025年秋季通过Chromebook上的Google搜索接触到Gemini AI Mode,最初主要询问学习问题。原告方称,随着使用频率增加,Emma开始向Gemini倾诉家庭关系、心理压力和自我伤害等问题;截至2026年3月,她每月与Gemini交换的信息已达数千条。 —— 凤凰网科技、彭博社

😁44🙏26👍6🖕5❤3🤡3

6 Nov 2026, 13:32 UTC≈6,390 views94 reactionsread 7 November 2026

抗议者闯入微软阿姆斯特丹数据中心工地 当地时间周五上午,约 100名抗议者闯入了微软位于阿姆斯特丹郊区的新数据中心施工现场。抗议组织“Geef Tegengas”发起了此次行动,抗议该项目建设三座85米高的数据中心塔楼。现场示威者通过攀爬起重机挂出 “反对AI”和“微软助长种族灭绝” 等标语,并高喊口号。该项目由英国开发商Pure Data Centres负责,利用了2016年项目规划早于阿姆斯特丹市2023年底实施的数据中心建设禁令这一法律漏洞。近期,欧洲多地爆发了针对数据中心建设的抗议活动。 —— The Verge

👍37😁28🤡16🤯4❤3🖕2🍾1👎1

6 Nov 2026, 13:01 UTC≈6,380 views92 reactionsread 7 November 2026

特斯拉公司宣布终止Cybertruck生产 美国特斯拉公司决定停产旗下标志性电动皮卡Cybertruck,这款曾被马斯克寄予厚望的产品在销量疲软与多次召回的双重压力下黯然落幕。马斯克周五在 X 平台发文称,特斯拉将于明年年中左右在得克萨斯超级工厂逐步 "收尾"Cybertruck的生产,转而扩大自动驾驶出租车Cybercab的产能。 Cybertruck电动皮卡的商业表现远未达到马斯克最初的预期。马斯克曾表示,特斯拉的目标年产量为25万至50万辆。然而,据Cox Automotive估算,今年1月至9月特斯拉仅售出11,586辆Cybertruck,同比下降28%。 —— 华尔街见闻

🤡62👍11😁10❤3😢3👎2🤓1

6 Nov 2026, 12:30 UTC≈6,370 views46 reactionsread 7 November 2026

英伟达加强东南亚芯片追踪以打击走私 英伟达公司正在加强对东南亚销售的人工智能加速器的监测,这是一项旨在遏制半导体走私的战略举措,此前该公司因没有采取足够措施阻止货物非法到达中国公司而受到批评。据知情人士透露,这家芯片制造商现在要求该地区的客户注册其所谓的 “机群智能” 系统 —— 该系统追踪参与公司拥有的人工智能加速器的位置以及其他指标 —— 才能成为官方的英伟达云合作伙伴(NCP)。NCP认证对人工智能云计算提供商极具吸引力,它既赋予公开的认可印章,也赋予英伟达的优先芯片获取权。知情人士说,英伟达的想法是利用这一认证的吸引力,鼓励更广泛地采用仍属自愿的芯片追踪计划。 —— 彭博社

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6 Nov 2026, 11:56 UTC≈6,590 views135 reactionsread 7 November 2026

卡车、司机双双失联,1140万美元的英伟达硬件去哪了? 一批价值约 1140 万美元的英伟达硬件在运输途中失踪。装载货物的卡车8月29日从加州奥克兰出发,原计划运往得州沃斯堡,但车辆及司机随后失去联系,货物至今下落不明。这批货物共有六个托盘。取货车辆带有一家食品运输公司的标志,取货过程也符合原定运输安排。卡车离开奥克兰向南行驶后,逐渐脱离调度及追踪系统。调查人员曾尝试还原车辆行驶路线,发现卡车途中多次停靠,且部分停留持续数小时。警方最终在南加州圣贝纳迪诺县一带失去车辆踪迹。目前尚无嫌疑人被捕,警方也未公布具体失窃产品、作案方式以及货物是否已被拆分转移。受害方于9月13日报案。 —— 凤凰网科技

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6 Nov 2026, 10:20 UTC≈7,640 views123 reactionsread 7 November 2026

众议院领导人要求黄仁勋出席简报会,说明与中国高管往来 三个有影响力的众议院委员会的共和党领导人周四要求英伟达首席执行官黄仁勋自愿出席一场闭门简报会,说明他与一家新加坡公司一名高管的往来。美国官员认定,这名高管向中国情报机构输送信息。上周《纽约时报》报道,黄仁勋与Megaspeed公司高管爱丽丝·黄(中文名黄乐,音)关系密切。美国政府怀疑该公司帮助中国规避美国禁令,获取英伟达的人工智能芯片。这些众议院领导人要求黄仁勋于11月18日出席简报会,就其与黄乐的往来,以及英伟达为防范外国对手间谍活动而制定的安全政策进行说明。 —— 纽约时报

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Showing the 12 most recent of 1,664 posts we hold for @xhqcankao. 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

@xhqcankao 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
27 October 2026
Most recent edit
27 October 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 52 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

2.5次元日常 🍉
@acgdaily · 17,250
22 posts
Yiove 资讯频道
@YioveNews · 2,571
5 posts
习近平.rip
@nmslxi · 124
5 posts
ChatGPT 精选
@AwesomeChatGPT · 15,157
4 posts
我喜欢你
@bakaPD · 10,843
4 posts
敏感经济信息分享
@pelosi3 · 72,457
4 posts
Ac-Wiki | 真·青年大学习
@AcWiki · 4,503
3 posts
前女友们用过的机场—始于机场,不止机场
@gebaopiCloud · 101,583
3 posts
消‎息盒‎子
@xnxihezi · 160
3 posts
Mirraの杂货铺 | Link to HUAWEI!
@NekoMirra · 1,345
2 posts
WUTONK的脑瘫频道
@WUTONK386 · 26
2 posts
夏鸢的碎碎念..
@XiaYuanLife · 536
2 posts
Dᴏᴋi Cʜᴀɴɴᴇl
@dokidoki_Channel · 27
2 posts
风向旗
@fengxiangqi · 2
2 posts
404 Information
@info404 · 941
2 posts
Cestlavie's Blog
@CestlavieBlog · 4
1 post
晓樱花庄🌸
@Cherryblossoms_channel · 32
1 post
酷安 ℂ𝕠𝕠𝕝𝕒𝕡𝕜 ℂ𝕙𝕒𝕟𝕟𝕖𝕝
@CoolapkChannel · 3,299
1 post
黛茜的燃烧瓶🔥
@MolotovDaisy · 8
1 post
PS支共
@PSCCP · 220
1 post
Pika广播电台 | 上班中
@PikaRadio · 120
1 post
友币闪兑⚡️官方频道
@RouteBitcoin · 178
1 post
Solitorian
@Solitorian · 394
1 post
回忆的梦想赞助商️
@U2FPlus1s · 235
1 post
今天abc看了啥🤔
@abcthoughts · 7,132
1 post
雨声
@ameisbest · 168
1 post
ARK官方频道
@arktochannel · 2,354
1 post
边缘@订阅转换API
@bianyuanapi · 3,501
1 post
鸥 Billchan 鸥 🍟 大薯 | 去码头整点薯条
@billchenla · 3,184
1 post
DanFeng 分享交流
@danfeng2 · 6,446
1 post
东方媒体与科技综合频道
@emtgcorp · 83
1 post
搞机助手·R 官方频道
@gjzsr_channel · 15,729
1 post
好软分享
@haoruanfenxiang · 64,275
1 post
Hexzii's Hideout₊˚✧ ゚
@hexzii_ch · 26
1 post
酷群搜索 - 官方频道 @kuqun_bot
@kuqun · 5,337
1 post
锐锐姐姐的搞笑频道(误
@mikumikuchannel · 246
1 post
colosseum
@mycolosseum · 1
1 post
魅影极速官方频道
@myjstw · 14,731
1 post
Lee的资讯频道
@pokenleechannel · 253
1 post
ReadItHub
@readithub · 1
1 post
散步中
@sannsaku · 600
1 post
Source GCDN Notification
@sourcegcdn · 6
1 post
​::1
@subss62 · 788
1 post
躺平日报
@tangpingribao · 5,640
1 post
Tarekcloud Channel
@tarekcloud · 627
1 post
tg生态观察 ٭✡️⚝✹✸✶✷✴️✧⊛🔯❂⍣≛✨🇻🇳
@tgsucks · 2,047
1 post
某科学的一个频道
@titan_pain · 20,839
1 post
Tumblrace bot 通知频道
@tumblrace_bot_notification · 12,993
1 post

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 19 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

在花🎗️科技圈
@zaihuapd · 289,128
#1
LoopDNS资讯播报
@DNSPODT · 73,205
#2
竹新社
@tnews365 · 167,040
#3
Yummy 😋
@GodlyNews1 · 70,950
#4
VPS信号旗播报
@vps_xhq · 50,718
#5
每日消费电子观察
@CE_Observe · 77,311
#6
蓝点网订阅频道
@landiansub · 46,944
#7
Solidot
@solidot · 48,789
#8
2.5次元日常 🍉
@acgdaily · 17,250
#9
Newlearnerの自留地
@NewlearnerChannel · 68,136
#10
层叠 - The Cascading
@outvivid · 9,302
#11
心灵魔法站
@personal_hub · 11,586
#12
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,446
#13
隐私中国 Dark Web Inform
@CN_Privacy · 17,114
#14
前女友们用过的机场—始于机场,不止机场
@gebaopiCloud · 101,583
#15
APPDO的互联网记忆
@appdopic · 16,893
#16
Faker的个人频道
@wtfbugtoday · 3,162
#17
小红书一瞥
@xhsyp · 31,020
#18
财经慢报
@Financial_Express · 36,977
#19
Milkice's 生而喵喵
@milkice_portal · 3,386
#20
APPDO 数字生活指南
@AppDoDo · 40,957
#21
每日沙雕墙
@woshadiao · 114,529
#22
主机百科资讯分享
@zhujiwiki_info · 10,672
#23
Project X Channel
@projectXtls · 30,414
#24
LetITFly News
@LetITFlyW · 9,721
#25
爆発試験室 | Network & SI | TechNews & LifeStyle
@boomtechreviews · 6,203
#26
 Apple Nuts
@AppleNuts · 37,681
#27
你不知道的内幕消息🅥
@inside1024 · 107,716
#28
gledos Lia green 的微型博客
@gledos_microblogging · 6,610
#29
Leonn的博客
@liyuans · 14,320
#30
橘橘橘子汁 & 🍊
@microblock_pub · 16,011
#31
今天abc看了啥🤔
@abcthoughts · 7,132
#32
新·世界观察日志
@NewWorldObservationLog · 7,060
#33
知乎大巴扎
@zhihu_bazaar · 21,934
#34
bupt.moe
@bupt_moe · 5,246
#35
青鸟的频道
@bluebird_channel · 7,948
#36
Arch Linux Chinese Messages
@archlinuxcn · 11,258
#37
平壤卫视
@pingrangTV · 29,340
#38
学习墙国🐸
@XueXi_China · 86,396
#39
企业级欢乐花园
@MaterialDesign3 · 9,205
#40
Sukka's Notebook
@SukkaChannel · 6,934
#41
〄FW
@JISFW · 12,886
#42
即刻精选
@jike_collection · 35,855
#43
Android Weekly Update ⚡️
@update4weekly · 5,252
#44
折腾啥
@zhetengsha · 53,461
#45

Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

zaobao.sg 早报
@zaobaosg · 46,686
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 1 September 2026
蓝点网订阅频道
@landiansub · 46,944
Telegram ranks this channel #1 of 58 here — alongside 57 others — read 28 August 2026
Solidot
@solidot · 48,789
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 28 August 2026
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 49,084
Telegram ranks this channel #1 of 60 here — alongside 59 others — read 26 August 2026
VPS信号旗播报
@vps_xhq · 50,718
Telegram ranks this channel #1 of 57 here — alongside 56 others — read 26 August 2026
敏感经济信息分享
@pelosi3 · 72,457
Telegram ranks this channel #1 of 51 here — alongside 50 others — read 20 August 2026
LoopDNS资讯播报
@DNSPODT · 73,205
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 20 August 2026
竹新社
@tnews365 · 167,040
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 12 August 2026
在花🎗️科技圈
@zaihuapd · 289,128
Telegram ranks this channel #1 of 40 here — alongside 39 others — read 12 August 2026
FREE 中文
@freechinese · 27,744
Telegram ranks this channel #2 of 55 here — alongside 54 others — read 10 September 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,446
Telegram ranks this channel #2 of 55 here — alongside 54 others — read 10 September 2026
TG吃瓜黑料八卦
@baguabox · 33,169
Telegram ranks this channel #2 of 38 here — alongside 37 others — read 4 September 2026
科技&趣闻&杂记
@kejiqu · 36,769
Telegram ranks this channel #2 of 48 here — alongside 47 others — read 1 September 2026
赛博忏悔室
@cyber_confessional · 40,920
Telegram ranks this channel #2 of 35 here — alongside 34 others — read 30 August 2026
Newlearnerの自留地
@NewlearnerChannel · 68,136
Telegram ranks this channel #2 of 62 here — alongside 61 others — read 21 August 2026
Yummy 😋
@GodlyNews1 · 70,950
Telegram ranks this channel #2 of 55 here — alongside 54 others — read 20 August 2026
每日消费电子观察
@CE_Observe · 77,311
Telegram ranks this channel #2 of 62 here — alongside 61 others — read 19 August 2026
黑洞资源笔记
@piracy6 · 77,976
Telegram ranks this channel #2 of 61 here — alongside 60 others — read 19 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,086
Telegram ranks this channel #2 of 67 here — alongside 66 others — read 17 August 2026
XFLTD养鸡场
@XFLTDtop · 19,387
Telegram ranks this channel #3 of 48 here — alongside 47 others — read 5 October 2026
Nexitally Official Channel
@Nexitally_Official · 21,056
Telegram ranks this channel #3 of 44 here — alongside 43 others — read 26 September 2026
极客分享
@geekshare · 65,414
Telegram ranks this channel #3 of 44 here — alongside 43 others — read 21 August 2026
Ruters乳透社🐻
@Ruters0615 · 25,144
Telegram ranks this channel #4 of 40 here — alongside 39 others — read 14 September 2026
APPDO 数字生活指南
@AppDoDo · 40,957
Telegram ranks this channel #4 of 57 here — alongside 56 others — read 30 August 2026

This channel appears in 138 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“风向旗参考快讯” (@xhqcankao), 167,873 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xhqcankao.

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.