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Channel

菲律宾大事件

@PH591

On this record: Topic · Observations · Channels linked by matching posts · 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

205,594subscribers

-7,187 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1001631972097
TypeChannel
Username@PH591
Description导航频道: https://t.me/PHDA1 其他叫菲律宾大事件的都是假的⚠️ 认准群主 @tiantian591 广告合作/业务对接/投稿曝光 请联系: @tiantian591
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/PH591

Topic

Gambling & betting — 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 60% 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 2 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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
@PH591/43871 · this entry25 Aug 2026, 17:09 UTC@woaiui/15376228 Aug 2026, 15:08 UTC1.003 days
@PH591/44297 · this entry29 Aug 2026, 11:32 UTC@woaiui/15384629 Aug 2026, 11:34 UTC1.0072 seconds
@PH591/44299 · this entry29 Aug 2026, 12:04 UTC@woaiui/15384829 Aug 2026, 12:06 UTC1.0072 seconds
@PH591/50475 · this entry29 Oct 2026, 13:22 UTC@woaiui/1599061 Nov 2026, 06:43 UTC1.003 days
@PH591/50896 · this entry5 Nov 2026, 09:20 UTC@woaiui/1601115 Nov 2026, 09:21 UTC1.0072 seconds
@PH591/50899 · this entry5 Nov 2026, 09:29 UTC@woaiui/1601145 Nov 2026, 09:30 UTC1.0072 seconds
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
@woaiui99 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (96–3)
@PHPOTOT23 (8/8 hand-verifiable sample passed)1.0045 hours@PHPOTOT (12–11)

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. 12 of the 12 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 2,331 comparable posts for this entry, running 9 August 2026 to 10 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 2 channels, the one whose matching posts we hold earliest is @PH591 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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 2 registered channels linked by matching posts. 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

199,226217,029208,127.5205,5949 August 202610 November 2026
63 measurements spanning 93 days, net -7,187. 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 196,556–219,699 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 12:59205,594-766
9 Nov 2026, 00:59206,360-932
7 Nov 2026, 18:48207,292-908
6 Nov 2026, 15:19208,200-556
5 Nov 2026, 14:28208,756-456
4 Nov 2026, 12:10209,212-685
3 Nov 2026, 15:09209,897-1,260
2 Nov 2026, 14:39211,157-200
1 Nov 2026, 17:37211,357-955
31 Oct 2026, 17:56212,312-1,319
30 Oct 2026, 20:40213,631+6,276
29 Oct 2026, 17:10207,355-983
28 Oct 2026, 17:11208,338-1,274
27 Oct 2026, 14:04209,612-1,021
26 Oct 2026, 17:10210,633-1,813
25 Oct 2026, 18:19212,446-688
24 Oct 2026, 21:35213,134-1,603
23 Oct 2026, 20:18214,737+7,194
22 Oct 2026, 23:40207,543-3,292
22 Oct 2026, 01:17210,835first reading

Engagement

2,355 posts held, back to 9 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 191 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.63%
avg views ÷ 205,594 subscribers
Avg views / post
5,400
543 posts measured
Reaction rate
0.835%
reactions ÷ views · ER floor
Posts in window
543
of 2,355 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 273 of 543 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 held2,355 (9 August 2026 – 11 November 2026)
Views total2,931,180
Reactions total13,253
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 16:54 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
≈39,400
Videos
≈10,400
Links
≈26,600

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
5h 07m
Average length
59s

Measured directly from 313 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

25,208 reactions across 468 posts, in 65 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5,07620.1%
👍4,77719.0%
😁4,51717.9%
🔥4,49217.8%
🎉4,35417.3%
🤣1,0344.10%
🌭780.309%
🤝770.305%
🍾610.242%
✍540.214%
💋480.19%
💯480.19%
😴430.171%
🍓320.127%
💘300.119%
😭290.115%
🙏290.115%
❤‍🔥260.103%
👌250.099%
🕊240.095%
45 further kinds3541.40%

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 485 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 25,208 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 September 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
90
across the posts below
Posts paid on
19
of 1,000 we hold a reading for · 2%
Most on one post
15
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PH591. 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 September 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.

Recent posts

Telegram’s own ‘edited’ marker: 201 of 543 posts held from the last 30 days (37.0%) 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, 14:30 UTC≈11,400 views62 reactionsread 11 November 2026
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11 Nov 2026, 14:29 UTC≈4,550 views1 reactionsread 11 November 2026
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👍1

11 Nov 2026, 14:28 UTC≈4,430 views2 reactionsread 11 November 2026
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11 Nov 2026, 13:48 UTC≈4,560 views58 reactionsread 11 November 2026
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11 Nov 2026, 13:47 UTC≈4,430 viewsread 11 November 2026
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❗️😎😎😎⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️❗️ 红包雨限时降临、百家乐赌神赛火热开战、竞咪百家乐精彩升级! 🤩…

11 Nov 2026, 13:46 UTC≈4,460 views1 reactionsread 11 November 2026
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11 Nov 2026, 12:39 UTC≈4,730 views56 reactionsread 11 November 2026
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#菲媒报道 #马卡蒂 #小菲保姆 偷走雇主176万比索珠宝被抓‼️‼️ 11月10日消息,菲律宾马尼拉大都会马卡蒂市发生一起重大珠宝失窃案。一名保姆因涉嫌盗窃雇主价值176万比索的珠宝被警方抓获。面对调查,该保姆否认偷窃,声称自己遭遇电话诈骗。不过,警方发现一张涉及6.8万比索的外币兑换凭证,正进一步调查这笔交易与珠宝失窃案之间的关系。 据菲律宾国家警察总署通报,案件发生在马卡蒂市一户家庭。雇主发现价值约176万比索的珠宝失窃后报警,警方随后展开调查,并抓获一名涉嫌参与案件的保姆。接受警方调查时,这名保姆否认盗窃珠宝,声称自己实际上是一起电话诈骗案件的受害者。 她提到的是菲律宾当地常见的“Dugo-Dugo”诈骗。这类骗局通常由诈骗分子冒充雇主或其家属,谎称家人遭遇车祸、突发疾病或其他紧急情况,急需现金救助。 诈骗分子会利用保姆对雇主家庭情况不熟悉、无法及时联系雇主等机会,诱骗其交出家中的现金、珠宝及其他贵重物品。 …

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11 Nov 2026, 12:37 UTC≈4,610 viewsread 11 November 2026
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11 Nov 2026, 12:12 UTC≈4,560 views56 reactionsread 11 November 2026
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#老挝新闻 #老挝万象 再端2处网络犯罪窝点!9名中国人被抓,查获18部手机及电脑⚠️⚠️ 11月11日消息,老挝公安部特别行动组近日在首都万象连续查处2处涉嫌从事网络犯罪活动的窝点,共控制10名外国籍人员,其中包括9名中国人和1名缅甸人,现场查获18部手机及2台电脑。 据老挝当地媒体报道,此次行动发生在上周,执法人员重点检查了万象市西萨达纳县(Sisattanak)两处被怀疑用于网络犯罪活动的出租屋。第一处窝点位于Sang Heuy村。警方突击检查时,当场控制4名外国人,包括3名中国籍人员和1名缅甸籍人员,并查获6部手机及1台台式电脑。第二处窝点位于塔考村(That Khao)的一处名为“东盟别墅”(ASEAN Villa)的出租住宅。 执法人员进入现场后,发现6名中国籍人员涉嫌参与网络犯罪活动,随即将其控制,并查扣12部手机及1台笔记本电脑。两次行动共查获9名中国籍人员、1名缅甸籍人员,以及18部手机、1台台式电脑和…

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11 Nov 2026, 12:11 UTC≈4,490 viewsread 11 November 2026
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招聘职缺: 行政专员: 1500美金—1800美金(+KPI,护照签证正常,外籍) SEO专员: 3000美金—6000美金(+高提成) 渗透专员: 5000美金—10000美金(+高提成) 推广助理: 1700美金—2000美金(在菲,护照签证正常) 维护专员: 1800美金—2100美金(在菲,护照签证正常) 远程推广: 1200美金+高提成(不压护照) 远程客服: 700美金—1000美金 远程审核: 600美金—1000美金(境外,外籍) 自媒体推广转化:2500美金—6500美金(+高提成) 详细咨询HR Lorin: @HRL711 更多岗位了解请浏览招聘频道:https://t.me/HRLorin8868

11 Nov 2026, 11:55 UTC≈4,470 views53 reactionsread 11 November 2026
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#泰媒报道 #泰国 #芭提雅 一天抓获2名 #中国通缉犯 ⚠️⚠️⚠️ 11月10日,泰国移民局在芭提雅再次抓获一名遭中国警方通缉的在逃男子。该男子现年58岁,藏身于中天海滩附近一处公寓。泰国警方根据中国方面提供的线索锁定其住处,确认身份后将其控制。这也是泰国移民局同一天抓获的第二名中国籍通缉人员。 据泰国移民局通报,被抓男子为王某(Wang Wen),58岁,中国国籍。此前,中国公安机关已对其发布通缉,并通过国际刑警组织北京国家中心局向泰国警方通报,要求协助追查其在泰国的下落。 接获中方提供的情报后,泰国移民局调查人员展开追踪,发现该男子可能藏身于春武里府芭提雅市中天海滩附近的View Talay 8公寓,具体位置位于中天14巷(Jomtien Soi 14)。 随后,调查人员前往目标地点,在公寓门前发现一名外貌特征与通缉人员相符的中国男子。 警方立即上前表明身份,要求其出示护照及身份证明文件。经核查,确认该男子正…

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11 Nov 2026, 11:54 UTC≈4,280 views0 reactionsread 11 November 2026
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Showing the 12 most recent of 2,355 posts we hold for @PH591. 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

@PH591 edited 2 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
29 August 2026
Most recent edit
14 October 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @PH591 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 September 2026
Most recent seen missing
7 November 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
1

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 5 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾大事件” (@PH591), 205,594 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/PH591.

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.