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Telegram profile photo for 东南亚黑暗事件

Channel

东南亚黑暗事件

@dnyha188

4 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

59,143subscribers

+838 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002501099270
TypeChannel
Usernames@cat_kk @chankuang @chaojun @dnyha188
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 「东南亚黑暗事件」带你揭秘东南亚大小事,曝光悬赏通缉,仅此一个频道,其他均为盗版!请注意识别,不私信任何人,防止被诈骗或敲诈勒索! 防失联导航: @hasj_DNY 投稿爆料澄清: @molu178 双向投稿机器人: @heianshijian_bot
CreatedBetween 1 February 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held126
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/dnyha188

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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 why it has no browse page of its own yet.

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. 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
@hadubai/255647 Aug 2026, 10:31 UTC@dnyha188/29740 · this entry7 Aug 2026, 10:31 UTC1.00under a minute
@hadubai/255657 Aug 2026, 10:48 UTC@dnyha188/29741 · this entry7 Aug 2026, 10:48 UTC1.00under a minute
@hadubai/255667 Aug 2026, 11:32 UTC@dnyha188/29742 · this entry7 Aug 2026, 11:32 UTC1.00under a minute
@hadubai/255747 Aug 2026, 13:32 UTC@dnyha188/29750 · this entry7 Aug 2026, 13:32 UTC1.00under a minute
@hadubai/255777 Aug 2026, 14:24 UTC@dnyha188/29753 · this entry7 Aug 2026, 14:24 UTC1.00under a minute
@dnyha188/29756 · this entry7 Aug 2026, 14:39 UTC@hadubai/255807 Aug 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hadubai13 (7/8 hand-verifiable sample passed)1.00under a minute@hadubai (9–4)
@flbha8813 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (8–5)
@yatai98510 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (7–3)

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. 17 of the 17 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 14 comparable posts for this entry, running 7 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 4, the earliest publisher we hold is @hadubai. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 7 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 3 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

57,37587,14572,26059,1437 August 202626 September 2026
126 measurements spanning 50 days, net +838. 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 52,910–91,611 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 126
Measured (UTC)SubscribersChange
26 Sept 2026, 06:4059,143-10
26 Sept 2026, 06:1859,153no change
26 Sept 2026, 06:0259,153-4,517
19 Sept 2026, 07:5563,670-13
19 Sept 2026, 06:5563,683-1,084
17 Sept 2026, 20:1664,767-196
17 Sept 2026, 11:5764,963-794
16 Sept 2026, 20:2065,757no change
16 Sept 2026, 18:2265,757-543
15 Sept 2026, 16:2166,300-802
15 Sept 2026, 13:0067,102-784
14 Sept 2026, 22:1967,886-166
14 Sept 2026, 18:1868,052-310
13 Sept 2026, 23:0068,362no change
13 Sept 2026, 22:3868,362-51
13 Sept 2026, 11:1668,413-86
13 Sept 2026, 07:2268,499-614
12 Sept 2026, 09:1569,113-283
12 Sept 2026, 01:5769,396-109
11 Sept 2026, 13:1869,505first reading

Engagement

1,045 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.15%
avg views ÷ 59,143 subscribers
Avg views / post
681
605 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
605
of 1,045 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 87 of 605 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 27 September 2026
Posts held1,045 (7 August 2026 – 27 September 2026)
Views total411,963
Reactions total87
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 03:16 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
≈25,400
Videos
≈5,760
Links
≈1,450

Lifetime counters from Telegram’s own channel header, read 27 September 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
3h 47m
Average length
37s

Measured directly from 365 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

92 reactions across 92 posts, in 10 distinct kinds. The most used accounts for 18.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1718.5%
🥰1718.5%
👏1112.0%
🤩1010.9%
⚡88.70%
🎉88.70%
👍88.70%
😁77.61%
❤55.43%
👀11.09%

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 92 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 92 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 8 August 2026 to 27 September 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.

Recent posts

27 Sept 2026, 03:07 UTC886 viewsread 27 September 2026
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#巴基斯坦资讯:卡拉奇CCIA已查22处非法呼叫中心,180多人被捕 据巴基斯坦媒体报道,9月26日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局副局长 Tariq Nawaz 接受 SAMAA TV 采访时表示,近期当地执法部门持续针对涉嫌非法经营的呼叫中心展开行动。 Tariq Nawaz介绍称,目前已有22处涉嫌非法经营的呼叫中心遭到查处,连同相关负责人在内,共有180多名本地及外国籍人员被捕。 NCCIA方面表示,针对卡拉奇市内其他涉嫌非法经营的呼叫中心,新一轮突击行动也将在近期展开。 值得注意的是,截至目前,公开信息尚未完整披露这180余名被捕人员的具体国籍构成、涉华人数、各案件详细地点以及涉嫌涉及的具体诈骗模式。 因此,关于被捕人员国籍及案件细节,目前暂不作进一步猜测,后续仍需等待NCCIA或当地媒体公布更多信息。 此前,NCCIA在卡拉奇也曾持续查处涉嫌网络诈骗及非法呼叫中心的案件。9月17日,执…

27 Sept 2026, 02:58 UTC≈1,390 viewsread 27 September 2026
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#网友分享:在柬的兄弟们,如果你们没钱、没护照,签证又逾期了,想回国的话,就不用再去大使馆咨询了,我已经帮你们问过了。 大使馆那边给我的说法是:护照丢了就补护照,签证逾期了就去移民局补签、交罚款;ID锁了,下载不了“中国领事”,就找朋友、找家人帮忙;没钱就找家里。总的意思就是,这些问题他们都不管。 所以,在柬的兄弟们如果想自首回国,就直接去大使馆对面的老地方,坐免费大巴去安置点就可以了,不用再去大使馆咨询。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

26 Sept 2026, 19:33 UTC12 viewsread 27 September 2026
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西港一女子从8楼跳下 奇迹生还! #网友投稿:今(26日)晚11时40分,西港一名女子从8楼一跃而下,跌落在一栋私人住宅的铁皮屋顶上,奇迹幸存,就问你们牛逼不牛逼,硬不硬! ps:不知道有没有把她摔醒 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

26 Sept 2026, 15:40 UTC848 viewsread 27 September 2026
Video

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26 Sept 2026, 15:21 UTC≈1,950 viewsread 27 September 2026
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#付费广告 【2028体育】TG全网最大信誉台|玩家首选 #东南亚盘总首选最权威综合平台 集团耗资2亿美金 打造全网最牛逼的线上娱乐平台 🇺🇸🇻🇳🇷🇪🇻🇪🇺🇸🇻🇳 🌈🌈🌈🌈🌈 vip.2028388.cc #大玩家首选 免实名 免手机号 电子最高可拉2万一转 支持USDT K豆 OKpay 等20多种虚拟币钱包 👌微信 👌支付宝 银行卡存取款 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀 😘2028体育精彩时刻: 3月31号 柬埔寨西港狗推PG电子单笔提300万 4月13号 盘总级玩家麻将胡单笔提款2000万 5月15号 泰国盘总推荐大哥首存提款600万 6月15号 缅甸大哥麻将胡了爆奖励提款470万 7月11号 泰国盘总完美对子真人视讯提款580万 😀😀😀😀😀😀😀😀😀😀😀 #全网福利天花板 1、首存送 复存送 投注送 劳力士豪车嫩模!! 2、电子黄金周 周一至周日福利拿不停! 3、单笔出…

26 Sept 2026, 14:45 UTC≈1,780 viewsread 27 September 2026
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#小姐姐投稿:别人谈恋爱讲究的是感觉,我谈恋爱讲究的是现实。 在搞对象和搞钱之间,我认真研究了一下,最后决定:对象可以慢慢搞,钱还是得先搞。 毕竟爱情不会主动给我发工资,月底房租也不会因为我深情就打个折。 看电视剧《插翅难逃》这类港片,多少有点学到张世豪那股劲儿。人家想的是怎么搞大事,我想的是怎么把自己的日子过明白。 人可以有野心,但不能光有野心,银行卡余额才是最诚实的观众。 尤其是干狗推这一行,天天面对的不是诗和远方,是业绩、客户、工资和月底的生活费。别人晚上失眠是因为对象不回消息,我失眠是因为客户不回消息。一个是情感问题,一个是收入问题,怎么选其实已经很明显了。 当然,我也不是不相信爱情,只是现在的我比较现实。年轻的时候可以为爱情冲动,到了这个年纪,至少得先让自己有点底气。 没钱的时候,连说一句“我养你”都像是在给自己挖坑,最后可能不是养对象,是对象养成了前任。 所以现在的我想得很简单:先搞钱,再谈爱;先把自…

26 Sept 2026, 14:39 UTC≈1,920 viewsread 27 September 2026
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#网友反馈:波哥山华人酒店前后都是警察 ,有在附近多注意一下。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

26 Sept 2026, 14:34 UTC≈1,270 viewsread 27 September 2026
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26 Sept 2026, 14:12 UTC925 viewsread 27 September 2026
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听过结婚一毛不剩的,没听过洗脚、按摩、商K把自己整到倾家荡产的。 在东南亚混久了才发现,真正能让你破产的,可能不是结婚,而是那句——“今晚放松一下,哥安排。” 白天公司里谈业绩,晚上扶手一坐,嘴里喊着“最后一场”,手机余额却在一场一场地消失。 刚开始:消费是为了缓解压力。后来:没钱了就更想消费。再后来:工资还没发,扶手已经坐熟了。 别人来东南亚是想赚点钱,咱们倒好,工资负责进账,扶手负责清零。 以前总觉得“上岸”是离开园区,后来才明白,人坐在扶手上,钱已经先上岸了。 东南亚最可怕的不是工资低,是你辛辛苦苦赚一个月,几个晚上就给消费明白了。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

26 Sept 2026, 13:41 UTC≈1,680 viewsread 27 September 2026
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#群友投稿:昨日中秋,月缺处见圆满。 翻阅旧信,方知那位带我于东南亚立足的大哥,曾于二四年中秋邀我归园区共膳。彼时我于酒店酣睡,错过了这最后的相聚。禅宗有云,失之东隅,收之桑榆,然此际桑榆已远,唯余怅惘。 忆往昔,我乃大哥于老挝水牢中斥资十二万赎回之人。随其在大其力敲击键盘半载,后大其里遭扫荡,迁至亚太之#鸿图。三月之内,无欲打破阶级,发展代理。 初入集团人事,两月间得数十万,此乃意料之外之喜。后归大哥麾下,不再敲键,转而经营代理,竟发现此路比敲键更为顺畅。半年光景,存款逾二百余万。 于亚太购得一辆车,在那时最黑之园区,持蓝色狗推牌,出入自如,想必鸿图之中,唯我一人享有此等自由。 彼时年仅21,自感已从被买之猪仔蜕变为如今模样,遂搬出园区,栖身酒店。夜夜召越南女子相伴,后其返越,为我诞下一子。 因居园区外,结识各方人物,于阿波罗、交克、东美等黑园区间穿梭。在东美两月,又得百万。闲暇时赴泰国游历。 公司中几个广西杂种…

26 Sept 2026, 13:37 UTC≈1,740 viewsread 27 September 2026
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#群友求助:8号园区做过国内业务的有没有事?监控会不会曝光?现在很担心,一直不敢回去。 我是26年2月份走的,前几天看到有报道说监控被曝光,所以现在一直不敢回去,在金三角苟且偷生。想知道个答案,之前一起做事的现在一个都联系不上了。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

26 Sept 2026, 13:26 UTC854 viewsread 27 September 2026
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#群友投稿:入境泰国的真实反馈,海关问什么 第一问:现金 第二问:酒店 第三问:离泰机票 第四问:去哪里玩,至少说3个以上的地名 第五问:做什么工作,怎么证明 海关问问题是不会给你缓冲的,哪个问题答不上就让你去小黑屋。 温馨提示:千万不要找保关,这种属于机场灰产链条,这里有一个弊很多人都没有说出来,只要你保过一次你的护照在泰国各大机场就有记录,下次不管你用什么签证只要入境泰国都要保,相当于你已经自动变成长期客户。如果你不保在入境的时候工作人员的电脑会有弹窗也能查到记录,然后找个借口带你去办公室。 还有一点需要保关的人他心里清楚,自己是什么德行,正常人根本不需要。 盘问的问题也是取决于你最近1年之内入境泰国的次数,普通游客,半年去一次,1年去1-2次不用担心,盘问很少,有的航班不问。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

Showing the 12 most recent of 1,045 posts we hold for @dnyha188. 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.

Mentions

Named by 3 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚黑暗事件” (@dnyha188), 59,143 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dnyha188.

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.