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Channel

成都大话修车已验证车库

@CDdhyzck1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

77,237subscribers

+10,262 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-1001912779471
TypeChannel
Username@CDdhyzck1
Description有人冒充管理,为防止被骗请老师直接私聊管理挂牌 @julia_wolves @chuyiwu @aiyoweiplus @xd5523 由 【成都大话修车群】https://t.me/CDdahuaxiuche 验证并站台的真实楼凤资源车牌库 欢迎一切真实评论 商务联系 @CHT1129BOT
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/CDdhyzck1

Topic

Other / unclassifiable — 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 65% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

66,97577,23772,1066 August 20267 November 2026
62 measurements spanning 93 days, net +10,262. 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 65,436–78,776 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 19:0877,237+35
6 Nov 2026, 18:5077,202+81
5 Nov 2026, 17:5877,121+59
4 Nov 2026, 17:3577,062+128
3 Nov 2026, 19:5476,934+13
2 Nov 2026, 21:5676,921+131
1 Nov 2026, 21:5976,790+15
31 Oct 2026, 22:4076,775+67
31 Oct 2026, 01:1776,708+113
29 Oct 2026, 22:1876,595+97
29 Oct 2026, 01:1776,498+89
28 Oct 2026, 00:0776,409+73
27 Oct 2026, 02:0576,336+47
26 Oct 2026, 03:3776,289+80
25 Oct 2026, 02:0176,209+57
23 Oct 2026, 23:2776,152+52
22 Oct 2026, 22:3176,100+59
21 Oct 2026, 23:2176,041-3
20 Oct 2026, 20:0976,044+90
19 Oct 2026, 19:1975,954first reading

Engagement

354 posts held, back to 6 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 192 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.31%
avg views ÷ 77,237 subscribers
Avg views / post
1,790
124 posts measured
Reaction rate
0.997%
reactions ÷ views · ER floor
Posts in window
124
of 354 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 123 of 124 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 8 November 2026
Posts held354 (6 August 2026 – 8 November 2026)
Views total221,361
Reactions total2,186
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 09:27 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
≈3,190
Videos
≈237
Links
≈739

Lifetime counters from Telegram’s own channel header, read 8 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
12m 43s
Average length
9s

Measured directly from 83 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

6,518 reactions across 343 posts, in 14 distinct kinds. The most used accounts for 52.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,43552.7%
👍2,45037.6%
🔥2333.57%
👎1542.36%
👏841.29%
🥰771.18%
🎉540.828%
⚡80.123%
🤩70.107%
😍50.077%
😁40.061%
💯30.046%
💋20.031%
😘20.031%

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 346 of the 354 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 6,518 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 354 most recent posts we hold, published 6 August 2026 to 8 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
120
across the posts below
Posts paid on
115
of 354 we hold a reading for · 32%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CDdhyzck1. 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 354 most recent posts we hold for this entry, published 6 August 2026 to 8 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: 13 of 124 posts held from the last 30 days (10.5%) 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).

8 Nov 2026, 07:07 UTC376 views4 reactionsread 8 November 2026
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🎰 最美林若涵发福利🧧了 📮 参与条件: 🗺️ 区域限制:重庆市;四川省 🛡️ 必须设置用户名 🎫 加入-武侯林若涵(自聊) 🎫 加入-成都回寝的诱惑(复活版) └🔑 发送口令〔林若涵最美〕 🎫 加入-成都大话修车群 └🔑 发送口令〔林若涵最美〕 🎫 加入-成都大话修车已验证车库 🎁 奖品内容: 💰️ 单p半价劵 x 1 💰️ pp两百优惠劵 x 1 💰️ p100优惠劵 x 1 💰️ 58.8红包 x 1 💰️ 18.8红包 x 2 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非正常聊天,找不到聊天记录等原因,超时未兑换等原的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后5天内,现金为开奖后2天内,逾期作废。 3·为避免小号、协议号、广告号,需有抽奖期间参与群对应任意车库中评论➕点赞,无评论不予兑奖 …

👍2❤1🥰1

7 Nov 2026, 15:04 UTC≈1,430 views31 reactionsread 8 November 2026
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【成都大话修车认证】 花名: #蜜蜜 车牌: @MoMo0098 车费: 7p 12pp 位置: 航空港 标签: #双流区 #自聊 #服务车 #大胸 #御姐 #7p 注:特色泡泡浴 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

❤21👍6🎉2🔥2

7 Nov 2026, 13:00 UTC≈1,610 views17 reactionsread 8 November 2026
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【成都大话修车认证】 花名:#林霜 车牌:@yaya520120 车费:5p 8pp 位置:#天府三街 标签:#武侯区 #自聊 #御姐 #感觉车 #态度车 #服务车 #5p 注:老师人照8.5分,颜值耐看,年龄27岁,身高165,98斤,皮肤正常肤色,手感光滑,胸c 不下垂、微科技,手感比较柔软,下面小蝴蝶户型偏紧偏润,外褐内粉无异味,身材均匀胸挺屁股翘,服务多还认真,有陪洗🐍吻69口毒龙等课表都有,全程懂事听指挥,不过分的要求都配合,身材巴适服务体验下来很愉悦。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

❤9👍6⚡1🔥1

7 Nov 2026, 03:10 UTC≈2,500 views33 reactions1 Starread 8 November 2026
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【成都大话修车认证】 花名: #吉米娜 车牌: @jmnhda 车费: 6p 10pp 位置: 成华区 标签: #成华区 #代聊 #御姐 #6p #身材车 #颜值车 #巨乳 #异域风情 #新疆妹 #服务车 注: 老师新疆妹,汉语可以,长相比照片年龄大点,颜值还行,二十七八左右的年纪,偏御姐一点,身高162,体重120左右。紧度紧,湿润度挺好,颜色褐色,小蝴蝶形,毛量适中。F熊,一手抓不下,身材丰满弹性,皮肤光滑细腻,肤色偏白,乳晕大,褐色。反馈自然真实,服务有🐍漫,指滑,胸推,裸口等。缺点:老师没给舌吻,比较丰满,不喜欢这款的注意。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

❤27👍5👏1

6 Nov 2026, 23:03 UTC≈2,660 views8 reactionsread 8 November 2026
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【成都大话修车认证】 花名: #静怡 车牌: @JingYi798 车费: 6p 10pp 位置: 交子大道 标签: #武侯区 #代聊 #嫩妹 #排骨精#身材车 #大奶 #6P #女友感 注: 人照8.5分,身高160左右,体重不到100斤,颜值乖巧嫩妹,身材属于排骨精细枝硕果,胸C圆润挺拔手感软弹屁股有肉,皮肤黄皮手感光滑有几处小纹身,下面户型小蝴蝶水量适中很紧。服务三件套+舌吻+69+乳胶+阴推,配合度高,会照顾情绪女友感足,喜欢这类的可以打卡。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

👎3❤2👍2👏1

6 Nov 2026, 22:24 UTC≈1,250 views9 reactionsread 7 November 2026
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【成都大话修车认证】 花名: #白兔兔 车牌: @hghhh2224 车费: 7p 11pp 位置: 天府三街 标签: #武侯区 #自聊 #御姐车 #颜值车 #感觉车 #态度车 #大蟒蛇 #蛇蛇精 #女友感 #7P 注: 妹妹24岁,年轻漂亮,身高165,体重49kg,性感妩媚身材爆表,皮肤白嫩摸起来舒适光滑,没有纹身,奶子d爆青筋,视觉超佳,一只手抓不住,奶头花生米大小,乳晕小颜色浅,手感火爆,吸吮起来很敏感,下面包子型,颜色粉,人工白虎,水多湿滑,叫床声毫无抵抗能力,昆感超级棒。 和妹妹约会有恋爱感,主动服务态度令人感动,爱爱配合默契享受其中,情绪价值无可挑剔。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

❤4👍4👎1

6 Nov 2026, 13:18 UTC≈1,640 views5 reactionsread 7 November 2026
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🎰 木子老师福利 📮 参与条件: 🛡️ 必须设置用户名 🎫 加入-木子的朋友圈 🎫 加入-成都大话修车已验证车库 🎫 加入-成都大话修车群 └💬 发言数大于 5 条 🎁 奖品内容: 💰️ 单p五折劵 x 1 💰️ 200元优惠券 x 6 💰️ 红包30元 x 3 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非正常聊天,找不到聊天记录等原因,超时未兑换等原的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后5天内,现金为开奖后2天内,逾期作废。 3·为避免小号、协议号、广告号,需有抽奖期间参与群对应任意车库中评论➕点赞,无评论不予兑奖 ⚠️ 如发现Ai机器人直接取消中奖资格不予兑奖,乱水群不兑奖。 📆 定时开奖 北京时间:2026年11月10日 21时18分 👉 点击参与抽奖 🎁 点击查看更多抽奖

🔥3🎉2

6 Nov 2026, 12:12 UTC≈1,490 views14 reactionsread 7 November 2026
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🔥成都半套-实惠的价格就让你享受五星级的服务🔥 🚺 成都- 樱花俱乐部 💋 ⌚️时间:中午12:00-晚上1:00(10点后可预约) ⛱地址:驷马桥&天府二街 👨‍🍳查看菜单:https://t.me/yhbt777 🔥酒店式公寓,环境舒适,不偷时间, 🛍服务时间 90分钟KB不限次数 樱花俱乐部公示栏:https://t.me/CDyinghuajlb 客服:@qk7899 双向联系 @qiukui_bot 👉不见人不付钱,安全靠谱❗️ 🈚️车费 🈚️定金 🈚️套路👉满意消费

👍10🎉2❤1🔥1

6 Nov 2026, 08:09 UTC≈1,710 views42 reactionsread 7 November 2026
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【成都大话修车认证】 花名: #我们是双胞胎呀 车牌: @SBTJMY 车费: 11p 14pp 位置: 天府三街 标签: #武侯区 #代聊 #御姐 #感觉车 #身材车 #颜值车 #大长腿 #女友感 #双胞胎 #双飞 #11P 注: 两位老师是同卵双胞胎,不单飞。长相高度一致,气质和颜值都挺好,人照有九成相似,25左右的年纪,偏御姐一点,身高160,体重100左右。紧度适中,湿润度挺好,颜色外褐内粉,蝴蝶形,毛量适中。B熊,身材匀称协调,皮肤光滑细腻,肤色比较白,乳晕较小,乳头花生米大小,后背有花状纹身,面积不大。反馈自然真实,服务有陪洗、按摩以及一些柔式动作等,如果有🐍,再多整些玩法,那可能真的无敌。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

👍25❤14👎1👏1🔥1

6 Nov 2026, 07:20 UTC≈1,220 views11 reactionsread 6 November 2026
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【成都大话修车认证】 花名: #安缦 车牌:@catjj888 车费: 8P 13PP 位置: 锦城湖 标签: #武侯区 #自聊 #御姐 #身材车 #健身 #大奶 #颜值车 #8P 注:人照8分,照片去美颜,真人御姐长相,颜值中上,高鼻子大眼睛嘟嘟嘴,年龄25左右,身高165,体重98斤,肤色小麦色,有两个小纹身,极品健身身材,S型前凸后翘,光滑,天然大胸D挺拔,奶头小,乳头偏深,蜜桃臀,屁股很翘,小穴紧润,毛量偏多,褐色逼,会夹。 软件:陪洗,舔🐻,69,浅吻,舔蛋。 优惠情况:出击分换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

👍5❤4👏2

6 Nov 2026, 05:30 UTC≈1,240 views4 reactionsread 6 November 2026
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🎰 楚依依&白微微联合福利 📮 参与条件: 🗺️ 区域限制:四川省;重庆市 🛡️ 必须设置用户名 🎫 加入-成都 楚依依 天府三街 🎫 加入-白薇薇生活频道 🎫 加入-成都回寝的诱惑(复活版) └🔑 发送口令〔楚依依&白薇薇,懂爱更懂你〕 🎫 加入-成都海王修车社区 └🔑 发送口令〔楚依依&白薇薇,懂爱更懂你〕 🎫 加入-成都修车•男团女团 └🔑 发送口令〔楚依依&白薇薇,懂爱更懂你〕 🎫 加入-成都大话修车群 └🔑 发送口令〔楚依依&白薇薇,懂爱更懂你〕 🎫 加入-成都大话修车已验证车库 🎁 奖品内容: 💰️ 白微微单p白嫖 x 1 💰️ 白微微100元优惠卷 x 3 💰️ 楚依依100元优惠卷 x 3 💰️ 口令红包88 x 1 💰️ 口令红包58 x 2 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非…

❤3👍1

6 Nov 2026, 05:19 UTC≈1,190 views16 reactionsread 6 November 2026
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【成都大话修车认证】 花名: #苏小兔 车牌: @SuXiaoTuz 车费: 6p 10pp 位置: 九眼桥 标签: #锦江区 #自聊 #御姐车 #颜值车 #身材车 #态度车 #6p #蛇蛇精 注: 身材超好细腰大C,很像狗头萝莉的妹子,身高158体重85年龄21左右,黄白皮肤光滑无纹身。胸C,饱满挺拔。下面蝴蝶户型,水多偏紧。老师态度拉满,大蟒蛇到窒息,有水中箫,女上时间长,床上很骚很反差,爱爱配合骚话多反馈好,柔韧性好配合度高,体重轻可以抱起来日。 优惠情况:出击分兑换白嫖 主群: @CDdahuaxiuche 备用群: @CDdlamxw

❤7👍7⚡1🔥1

Showing the 12 most recent of 354 posts we hold for @CDdhyzck1. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@CDdhyzck1 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
7 October 2026
Most recent edit
8 October 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @CDdhyzck1 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
17 August 2026
Most recent seen missing
2 September 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
0

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 10 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“成都大话修车已验证车库” (@CDdhyzck1), 77,237 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/CDdhyzck1.

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.