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Channel

AI探索指南

@aigc1024

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

37,586subscribers

+1,332 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001872719322
TypeChannel
Username@aigc1024
Description关于AIGC人工智能、思维方式、知识拓展,能力提升等。投稿/合作: @inside1024_bot AIGC 领域的最新工具、开源项目以及行业大事件
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/aigc1024

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 in near-verbatim form on 6 other registered channels. This entry also sits inside a group of 11 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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
@https1024/500147 Aug 2026, 15:09 UTC@aigc1024/22949 · this entry7 Aug 2026, 15:09 UTC1.00under a minute
@aigc1024/23899 · this entry30 Aug 2026, 23:25 UTC@https1024/5089030 Aug 2026, 23:25 UTC1.00under a minute
@aigc1024/23926 · this entry31 Aug 2026, 23:25 UTC@https1024/5091931 Aug 2026, 23:25 UTC1.00under a minute
@aigc1024/23965 · this entry1 Sept 2026, 23:25 UTC@https1024/509531 Sept 2026, 23:25 UTC1.00under a minute
@aigc1024/24172 · this entry6 Sept 2026, 23:25 UTC@https1024/511856 Sept 2026, 23:25 UTC1.00under a minute
@https1024/527058 Oct 2026, 16:02 UTC@aigc1024/25542 · this entry8 Oct 2026, 16:02 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@https102476 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (67–9)
@inside102470 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (62–8)
@knowledge102437 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (33–4)
@dogdairy34 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (32–2)
@liangxing36528 (7/8 hand-verifiable sample passed)1.00under a minute@liangxing365 (25–3)
@moyu202323 (7/8 hand-verifiable sample passed)1.00under a minute@moyu2023 (17–6)

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. 63 of the 63 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 1,788 comparable posts for this entry, running 5 August 2026 to 11 November 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).

Of the group of 11 channels, the one whose matching posts we hold earliest is @liangxing365. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 11 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

36,25437,59036,92237,5866 August 20269 November 2026
64 measurements spanning 96 days, net +1,332. 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 36,054–37,790 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
9 Nov 2026, 21:4537,586-4
8 Nov 2026, 16:3537,590+19
7 Nov 2026, 09:5537,571+29
6 Nov 2026, 11:0737,542+8
4 Nov 2026, 04:5137,534+15
3 Nov 2026, 01:0937,519+1
2 Nov 2026, 04:2837,518-7
1 Nov 2026, 05:2037,525+7
31 Oct 2026, 04:3837,518-6
30 Oct 2026, 03:0837,524-2
29 Oct 2026, 02:3537,526+13
27 Oct 2026, 22:3037,513-8
27 Oct 2026, 01:0637,521-4
26 Oct 2026, 02:0737,525-1
25 Oct 2026, 00:1637,526+23
24 Oct 2026, 01:4937,503+1
22 Oct 2026, 23:5437,502+8
21 Oct 2026, 19:3637,494+18
20 Oct 2026, 18:0137,476+2
19 Oct 2026, 18:2137,474first reading

Engagement

2,472 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 183 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.809%
avg views ÷ 37,586 subscribers
Avg views / post
304
835 posts measured
Reaction rate
0.631%
reactions ÷ views · ER floor
Posts in window
835
of 2,472 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 471 of 835 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 11 November 2026
Posts held2,472 (5 August 2026 – 11 November 2026)
Views total253,995
Reactions total920
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:49 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
≈15,800
Videos
≈1,790
Links
≈7,270

Lifetime counters from Telegram’s own channel header, read 11 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 40m
Average length
26s

Measured directly from 229 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

1,022 reactions across 513 posts, in 16 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🖕46345.3%
👍39238.4%
❤10610.4%
🤡212.05%
👎121.17%
🤮60.587%
💩40.391%
🤣40.391%
🤔30.294%
🏆20.196%
😁20.196%
🤯20.196%
🥰20.196%
🍾10.098%
🎉10.098%
🗿10.098%

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 541 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 1,022 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 6 October 2026 to 11 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
3
across the posts below
Posts paid on
3
of 1,000 we hold a reading for · 0.3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aigc1024. 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 6 October 2026 to 11 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.

Advertising

Ad load
0.2%
2 of 1,000 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
335
over 2 measured posts
Median views · rest
307
over 998 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
179368057613 November 20263 November 2026
179396871316 November 20266 November 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 6 October 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 835 posts held from the last 30 days (0%) 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).

11 Nov 2026, 00:26 UTC26 viewsread 11 November 2026
Photo

「公测定档PV」爆!梦境旅馆将推出新业务? - 小红书 https://xhslink.cn/o/9cZEMqJNjai 历时三年打磨、两轮内测,《星眠》终于要正式面世了,公测定档 2027 年 1 月 20 日! 《星眠》不仅是中国首款AI乙女游戏,也是深空、世外之后时隔三年的第一款高品质国乙。目前iOS商店、官网、taptap等平台预约均已开启,欢迎预约体验 @aigc1024

11 Nov 2026, 00:16 UTC44 views2 reactionsread 11 November 2026

最近体验几款国内 Personal AI 的感受是: 大家为了主动性而主动性 却全然忘记了 主动性是手段而不是目的 如果大家以这么饥渴的方式去做产品 那这东西只会让人 PTSD @aigc1024

👍2

11 Nov 2026, 00:16 UTC42 views2 reactionsread 11 November 2026

达里奥在今天发布的Anthropic IPO路演视频中的结尾陈述: “如果今天我们审视癌症、阿尔茨海默病、心脏病、精神疾病等疾病。这些都将成为过去的遗物。我认为,不到十年之内。” 我相信,正确处理风险的公司也将是获得社会信任、被社会认为能够以正确方式构建益处并获得运营许可的公司。 我认为,如果我们做对了,我们就能创造一个奇迹时代,在这个时代中,人类能够解决困扰我们千年的难。 我们必须确保,在带来益处的同时,也非常谨慎地应对所有风险、所有技术可能出错的方式,并且同时拥有一个可行的商业模式。 我邀请您加入我们旅程的下一阶段。” @aigc1024

👍2

10 Nov 2026, 23:56 UTC76 viewsread 11 November 2026
Photo

有亿点点震撼 游戏地址:https://claude.ai/artifact/BGY1SztrAYcJQHSsnHHGmp @aigc1024

10 Nov 2026, 23:25 UTC103 viewsread 11 November 2026
Photo

《捞偏门》:揭秘快速赚钱项目与灰色产业链内幕 https://pan.quark.cn/s/e7870b5267cf @meiriyishu

10 Nov 2026, 23:16 UTC105 views1 reactionsread 11 November 2026

人类之所以伟大,一个很重要的原因是在智能进化的过程中,只有人类掌握了超大规模的群体协作技术:语言。 有了语言,我们可以几十人,上百人,甚至上万人,把注意力共同聚焦在一件极为重要的事情上。这种凝聚力让文明诞生了许多伟大的奇观,比如万里长城和埃及金字塔,到今天都令人心驰神往。 我们到了 AI 时代,协作变难了。 人们开始说最好的协作就是不协作,一个人控制一堆 Agents 是最高效的。 最高效的分工方式变成了每个人负责一个独立的模块,人与人之间的交流协作变少了,人们的注意力也不再聚焦了。 究其本质,一个公司或一个产品,它应关注的核心问核心变量往往只有一个。 10 个人研究10个模块,真的比10个人聚焦一个核心要更有价值吗? 协作变难了,就应该逃避协作吗? 人类最容易犯的错误,就是喜欢沉浸于当下的小事而忽略整体。 甚至会发明各种指标来证明小事的价值,去逃避真正的问。 今天 AI 让一切都变得容易,也让 FOCUS 变得更难。 今天 A…

❤1

10 Nov 2026, 20:08 UTC142 views0 reactionsread 11 November 2026
Video

Anthropic CEO Dario Amodei在IPO 上市路演,向投资者展示 AI 的商业前景: 未来不到 10 年,癌症、阿尔茨海默病、心脏病和精神疾病,可能成为“过去的遗物”。 他认为,AI 有望让人类解决困扰我们数千年的难,开启一个“奇迹时代”。 但他也强调:AI 公司必须认真控制技术风险,赢得社会信任,同时建立可持续的商业模式,才能真正把这些好处带给人类。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

10 Nov 2026, 16:02 UTC236 views4 reactionsread 11 November 2026
Video

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🖕4

10 Nov 2026, 15:10 UTC253 views4 reactionsread 11 November 2026
Video

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🖕4

10 Nov 2026, 15:09 UTC231 views4 reactionsread 11 November 2026
Video

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10 Nov 2026, 15:03 UTC227 views4 reactionsread 11 November 2026
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10 Nov 2026, 15:02 UTC235 views1 reactionsread 11 November 2026
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不愧是“封神”!封号之神! 之前试过用各种模型来模拟折纸的效果, 折纸步骤生图会出错,用代码还原也会走形, 没有一个模型能准确还原!! Fable 5.2 竟然强大如斯! AI探索 | Hermes/OpenClaw|优质资源|优质信息

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Showing the 12 most recent of 2,472 posts we hold for @aigc1024. 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.

Forward network

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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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.

ahhhhfs|A姐分享
@abskoop · 303,761
Telegram ranks this channel #18 of 50 here — alongside 49 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,993
Telegram ranks this channel #22 of 61 here — alongside 60 others — read 19 August 2026
Widget🏂软件工具资源分享
@WidgetChannel · 107,683
Telegram ranks this channel #22 of 44 here — alongside 43 others — read 17 August 2026
极客分享
@geekshare · 65,560
Telegram ranks this channel #23 of 44 here — alongside 43 others — read 21 August 2026
黑科技软件资源分享
@kkaifenxiang · 261,842
Telegram ranks this channel #32 of 39 here — alongside 38 others — read 19 August 2026
油油の科技软件资源分享
@youyousharechannel · 92,387
Telegram ranks this channel #34 of 43 here — alongside 42 others — read 17 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“AI探索指南” (@aigc1024), 37,586 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/aigc1024.

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.