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Channel

东南亚-新闻-爆料-娱乐一线

@gegong05

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

24,490subscribers

+10,612 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002362690212
TypeChannel
Username@gegong05
Description#戈公 #柬埔寨 #吃瓜 欢迎爆料 投稿联系: @kk130 戈公二手: @gegongjy 吃瓜一线: @gegong19 免责声明:新闻内容与爆料来源于互联网以及投稿 未作真伪考究,仅供参考。本频道不站任何立场、不作任何评论,仅提供发布平台.
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live29 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 29 September 2026
On Telegramt.me/gegong05

Topic

National news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

11,73324,72118,2276 August 2026 — 13,878 subscribers6 August 2026 — 13,875 subscribers7 August 2026 — 13,865 subscribers8 August 2026 — 13,860 subscribers9 August 2026 — 13,847 subscribers10 August 2026 — 13,840 subscribers11 August 2026 — 13,836 subscribers12 August 2026 — 13,832 subscribers13 August 2026 — 13,831 subscribers14 August 2026 — 13,828 subscribers16 August 2026 — 13,817 subscribers17 August 2026 — 13,807 subscribers19 August 2026 — 13,795 subscribers20 August 2026 — 13,796 subscribers21 August 2026 — 13,786 subscribers23 August 2026 — 13,780 subscribers25 August 2026 — 13,774 subscribers26 August 2026 — 13,764 subscribers27 August 2026 — 13,760 subscribers29 August 2026 — 13,754 subscribers30 August 2026 — 13,751 subscribers31 August 2026 — 13,748 subscribers1 September 2026 — 13,734 subscribers2 September 2026 — 13,729 subscribers4 September 2026 — 11,733 subscribers6 September 2026 — 19,894 subscribers10 September 2026 — 19,740 subscribers12 September 2026 — 19,732 subscribers14 September 2026 — 24,721 subscribers15 September 2026 — 24,716 subscribers18 September 2026 — 24,714 subscribers29 September 2026 — 24,490 subscribers24,4906 August 202629 September 2026
32 measurements spanning 54 days, net +10,612. 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 9,785–26,669 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
29 Sept 2026, 19:1424,490-224
18 Sept 2026, 00:5924,714-2
15 Sept 2026, 19:5624,716-5
14 Sept 2026, 00:2024,721+4,989
12 Sept 2026, 07:4019,732-8
10 Sept 2026, 03:0119,740-154
6 Sept 2026, 21:0119,894+8,161
4 Sept 2026, 07:1711,733-1,996
2 Sept 2026, 21:5913,729-5
1 Sept 2026, 22:4613,734-14
31 Aug 2026, 01:3513,748-3
30 Aug 2026, 04:2713,751-3
29 Aug 2026, 03:0813,754-6
27 Aug 2026, 02:5913,760-4
26 Aug 2026, 02:3413,764-10
25 Aug 2026, 02:0713,774-6
23 Aug 2026, 13:4813,780-6
21 Aug 2026, 21:3613,786-10
20 Aug 2026, 16:3613,796+1
19 Aug 2026, 19:1313,795first reading

Engagement

590 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.422%
avg views ÷ 24,490 subscribers
Avg views / post
103
161 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
161
of 590 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 7 of 161 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 3 October 2026
Posts held590 (6 August 2026 – 3 October 2026)
Views total16,628
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 07:51 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
≈9,480
Videos
≈1,780
Links
≈4,770

Lifetime counters from Telegram’s own channel header, read 3 October 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
2h 45m
Average length
1m 08s

Measured directly from 147 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

26 reactions across 26 posts, in 6 distinct kinds. The most used accounts for 73.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1973.1%
❤311.5%
⚡13.85%
👏13.85%
😁13.85%
🥰13.85%

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 29 of the 590 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 590 most recent posts we hold, published 6 August 2026 to 3 October 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

3 Oct 2026, 07:24 UTC30 viewsread 3 October 2026
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在越南遭遇离谱处罚!中国人被抓,查不出违法行为,最后以头盔绳没系好罚款40万,钱款直接收进私袋 有中国人在越南被拦下扣留,执法人员翻来查去找不到任何违法事实,最后挑了个头盔绳子没系紧的理由开罚,讨价还价之后交了40万越南盾,罚款直接被对方收走。 这一趟算是在越南上了一课,提醒所有在越南的外籍朋友,出门务必多加留意,小心这类临时找茬的情况。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文包】☀️☀️🔥🔥

3 Oct 2026, 07:23 UTC33 viewsread 3 October 2026
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#泰国资讯:警方抓捕“张女士”,涉嫌在中国敲诈勒索3.5亿泰铢 10月3日,泰国移民局局长纳帕辛·普尔萨瓦特中将兼移民局犯罪调查中心主任,以及移民局调查部门负责人萨拉武特·孔亚中将下令,要求相关调查人员根据中国方面提供的请求信息,对有关外国人员展开调查。 随后,泰国移民局调查部门控制了一名46岁的中国籍女子“张女士”(化名)。据查,她是中国辽宁省大连市中山区公安机关发布的通缉对象,涉嫌犯有敲诈勒索罪。 萨拉武特中将随后依法撤销其在泰国的居留许可,并将其移交移民局调查部门第三组羁押,按照相关程序处理,之后将其遣返回中国接受调查和司法处理。 纳帕辛中将表示,根据中国方面提供的调查资料,自2022年4月左右至今,一名被称为“反假冒商品专家”的“王先生”(化名),与张女士及其他同伙声称,Dyesoo有限公司及其他公司的产品涉嫌添加非法药物。 随后,该团伙涉嫌以在海外网络平台发布损害受害者声誉的信息或新闻进行威胁,包括在抖音(D…

3 Oct 2026, 07:23 UTC48 viewsread 3 October 2026
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🇱🇦老挝向中方移交118名中国籍嫌疑人,涉跨国电信诈骗案 10月2日,老挝当局近日加大对边境地区跨国犯罪的打击力度。博胶省警方在琅南塔省磨丁国际边境口岸,向中方移交118名中国籍嫌疑人。该口岸与中国云南省磨憨口岸相连。 据介绍,此次行动由老挝警官西萨瓦·猜亚森少校和蓬萨克·西萨瓦少校带队。被移交人员中有116名男性、2名女性,其中113人涉嫌电信诈骗,其余5人涉嫌非法移民。相关案件涉案金额据称高达数百万,具体币种及金额尚未公布。 老方表示,此次交接按照相关程序进行。原文中“遣返回老挝接受审判”与“引渡回中国”的说法不一致,以上根据标题统一表述为“向中方移交”。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文包】☀️☀️🔥🔥

3 Oct 2026, 07:23 UTC48 viewsread 3 October 2026
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#台湾新闻 329.9亿洗钱案宣判 “九州博弈集团”总裁重判11年8个月 10月2日,台湾台中地方法院一审宣判“九州博弈集团”洗钱案,集团总裁陈政谷被判11年8个月,并处罚金9000万元新台币、褫夺公权5年。 同案徐培菁被判7年、罚金1200万元新台币;前电视台记者史镇康被判5年、罚金1000万元新台币。全案仍可上诉。 九州集团长期经营多个网络博彩平台,并利用旗下第三方支付系统处理赌资及非法资金。检方调查期间认定,2017年至2023年5月,相关平台处理赌资约438亿元新台币,同时还涉及替诈骗集团处理非法所得。 检警从2023年5月开始持续追查,先后发动10波搜索,查扣不动产、名车、存款及现金等大批资产,2024年8月完成侦查并起诉。 法院此次认定相关不法所得约329.9亿元新台币,并依法宣告没收。包括个人及公司法人在内,共有45名被告被判刑或处罚,罚金合计约5.79亿元新台币。 案件还牵出台中市刑事警察大队前大队长…

3 Oct 2026, 07:21 UTC2 viewsread 3 October 2026
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🌈🌈🌈🌈8K国际 信誉至上·财富相伴 🌈🌈🌈🌈🌈 8k016.com #东南亚盘总首选最权威综合😃台 集团耗资2亿美金 打造全网最牛逼的线上娱乐平台。😄😄😄😄 #大户首选 免实名 免手机号 电子可3000U一拉 😀😀😀😀😀😀😀😀⚡️😀😀😀 😂😂😂😂 1821863.com TG玩家首选人民币台不限ip 无需手机号无需绑卡 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀 1、极速糖果 30U爆25000倍满倍75万U 2、百家乐战神 大哥一天时间狂砍100万U 3、PP电子极速糖果 单注500爆得500万U 4、神秘大哥 连续稳定输出一天净赚59万U 😀😀😀😀😀😀😀😀😀😀😀 #全网福利天花板 1、单笔提款50万U+ ,赠送5888U-88888U额外奖励 2、支持任意平台vip等级平移 3、每日存款彩金每日送,每笔存款加增1% 存100送28 存500送58 存1000送108 存3000送3…

3 Oct 2026, 06:57 UTC55 viewsread 3 October 2026
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#泰国资讯 敲诈7000多万元逃到泰国,中国籍“张女士”被移民局抓获。 10月3日,泰国移民局通报,46岁的中国籍女子张某在沙没沙空府玛哈猜一处公寓被抓。她因涉嫌在中国参与一起金额超过7000万元人民币的敲诈勒索案,被中国警方通缉。 📌 案件经过 案件从2022年4月开始。张某与王某等人被指专门盯上企业,以产品涉嫌违法添加药物等问题进行威胁,扬言要在抖音、微博等平台曝光负面信息,逼迫对方花钱解决,累计涉案金额超过7000万元人民币,约合3.5亿泰铢。 🚔 抓捕与遣返 张某后来进入泰国,并藏身在玛哈猜地区。泰国移民局根据中方提供的线索展开追查,最终锁定她居住的公寓并将其控制。警方核查发现,张某当时在泰国的居留许可仍然有效,但由于她属于中国警方通缉人员,泰国移民部门随后撤销其居留许可并将其羁押,目前正办理遣返手续,准备将她送回中国接受调查处理。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️…

3 Oct 2026, 06:52 UTC53 viewsread 3 October 2026
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#网友投稿: 给大家看一下严打之下的西港狗推真实收入支出。 本人花的都比较省了,工资加奖金一共赚2500U左右。我点的外卖都是6-8美金一顿的便宜盖饭,抽的也是灰狼。到了月底完全吃食堂,娱乐活动也没有,从来不出去喝酒。 就这样省吃俭用,月底才剩1300U。我有时候就在想,我TM宁愿在国内每个月剩3000人民币都比这强,这日子不知道啥时候是个头了,哎……… 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文包】☀️☀️🔥🔥

3 Oct 2026, 06:48 UTC53 viewsread 3 October 2026
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#老挝新闻 老挝再向中国移交118名中国籍人员,113人涉嫌电诈 10月2日,老挝向中方移交118名中国籍人员,其中113人涉嫌参与电信网络诈骗,另外5人涉嫌非法入境。 这批人员包括116名男性和2名女性,在老挝琅南塔省磨丁国际口岸完成交接,随后由中方接收。 此次移交的绝大多数人员涉及电诈案件,相关人员回国后将由中方继续依法调查处理。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文包】☀️☀️🔥🔥

3 Oct 2026, 06:22 UTC55 viewsread 3 October 2026
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#国内新闻 中老缅泰湄公河联合巡逻12天 203人出动查48艘船283人 10月2日,第169次中老缅泰湄公河联合巡逻执法行动结束,中方53108艇当天返回云南西双版纳景哈警务码头。 行动从9月21日开始,持续12天。中老缅泰四国共派出203名执法人员、7艘执法艇,在湄公河开展联合巡逻和查缉,重点打击跨境走私、非法偷渡、可制毒化学品非法流通等违法犯罪。 12天内,四国共完成11次分段联合巡逻、10次水陆联合查缉,检查过往船舶48艘、人员283名、各类货物9200余吨。 四国执法人员还对湄公河部分重点水域进行航道检查和安全隐患排查。中老缅三国人员进行了船艇操作、联合执法和突发事件处置训练,中方也完成孟莫、班相果两个境外联络点的驻勤人员轮换。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文

3 Oct 2026, 06:15 UTC54 viewsread 3 October 2026
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#网友爆料: 3月份你带两个管理偷渡到小勐拉,然后开海外盘,紧接着在赌场输了200万人民币。 你项目经营不下去,在赌场输的签单逼你要钱。好心好意借给你3万U加13万人民币,当时跟我讲把你劳力士押在我这里,我说不用,要是押的话我就不借了。现在这个环境,谁能借给你5万U,你自己想想。但是我出于感情、朋友关系借给你了。 当时你说,用的时候提前1个礼拜说。我7月、8月亏了300万,找你拿的时候,你一直拖。后面找你老爸,你老爸答应两个月时间给清。现在给你老爸发消息,也已读不回。你们全家就这样做事? 你9月份跑回国,还欠你盘口员工工资,还有中国人开的烟店烟钱,你还欠2万没给。烟店是国内老板,回国可以报警说你欠烟钱跑路。我的事你不处理,本地员工拿到你信息,我宁可再花些钱,也会让他们去本地公安局报你。 你他妈太狗逼了,装人的时候那么会装。我没有牵挂,你有老婆加三个孩子。不管你家在本地什么关系,我这5万U不还回来,你看我怎么跟你玩到底就…

3 Oct 2026, 05:28 UTC54 viewsread 3 October 2026
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国足0比5惨败巴勒斯坦,脸都不要了! 10月2日,巴勒斯坦赛前世界排名仅第94位,比国足还低;他们的国土长期处于封锁与动荡之中,球员备战条件远谈不上优越。可就是这样一支队伍,在重庆的草皮上踢出了“巴萨味道”。 比赛进程堪称灾难。第16分钟,刘洋解围失误,哈姆拉维爆射破门;第22分钟,国足造越位失败,哈姆拉维单刀再下一城;上半场补时,达巴格反击得手,国足半场0比3落后。下半场达巴格梅开二度,补时阶段卡克补射破门,比分最终定格0比5。 赛后,巴勒斯坦主帅贾扎尔笑得合不拢嘴,被问到如何评价中国队防守时,他“客气”地表示“不便评价”。 巴勒斯坦球迷在社媒狂欢:“把巴西队叫来跟我们踢!”“中国被胖揍了一顿。” 国内媒体人则集体破防。韩乔生问:“这场热身赛练什么呢?球迷心态吗?”董路说:“万幸,如果这么踢日本,比分可能0比12到0比15。”马德兴更是直言:“有些球员根本不具备代表国家队出场的能力和水平,可以到此为止了。” 两战热…

3 Oct 2026, 05:06 UTC55 viewsread 3 October 2026
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#泰国资讯 警方救出两名日本大学生 疑遭高薪工作诱骗进入缅甸诈骗窝点 警方10月2日公布,两名20岁和21岁的日本籍大学生疑遭高薪工作诱骗,经泰缅边境偷渡进入缅甸帕亚通苏后,被送入诈骗窝点。 两人原被承诺获得高薪工作,并由招募者承担机票、住宿及餐饮费用,抵达泰国后被安排前往北碧府,再徒步越境进入缅甸。 9月10日,两人被带到诈骗窝点,并被一名会说日语的中国籍男子控制,要求专门拨打电话诈骗日本民众,两人期间偷偷联系日本驻缅甸使领馆及家人并发送位置,泰国警方接获求助后,于9月30日将两人安全接回泰国。 目前警方正追查负责接送、住宿、越境转运及招募的相关人员,并加强桑卡拉武里边境自然通道的巡查。 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 🔔 投稿联系 :@kk130 ✈️ 戈公互助群 :@kk751 ✅ 戈公二手交易:@gegongjy 🔥🔥☀️☀️【TG中文包】☀️☀️🔥🔥

Showing the 12 most recent of 590 posts we hold for @gegong05. 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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 29 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚-新闻-爆料-娱乐一线” (@gegong05), 24,490 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/gegong05.

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.