Telegram RegisterThe public register of Telegram
Telegram profile photo for 长沙一肆酒家

Channel

长沙一肆酒家

@hickcckc

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

13,474subscribers

-1,027 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001019203264
TypeChannel
Username@hickcckc
CreatedBetween 1 December 2015 and 31 March 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/hickcckc

Growth

13,47414,50113,987.57 August 2026 — 14,501 subscribers8 August 2026 — 14,467 subscribers9 August 2026 — 14,442 subscribers10 August 2026 — 14,396 subscribers11 August 2026 — 14,384 subscribers12 August 2026 — 14,365 subscribers13 August 2026 — 14,339 subscribers14 August 2026 — 14,273 subscribers16 August 2026 — 14,186 subscribers17 August 2026 — 14,144 subscribers18 August 2026 — 14,101 subscribers19 August 2026 — 14,100 subscribers20 August 2026 — 14,061 subscribers21 August 2026 — 13,991 subscribers23 August 2026 — 13,912 subscribers25 August 2026 — 13,901 subscribers26 August 2026 — 13,845 subscribers27 August 2026 — 13,834 subscribers28 August 2026 — 13,830 subscribers29 August 2026 — 13,749 subscribers30 August 2026 — 13,698 subscribers31 August 2026 — 13,708 subscribers1 September 2026 — 13,727 subscribers2 September 2026 — 13,728 subscribers3 September 2026 — 13,586 subscribers5 September 2026 — 13,568 subscribers8 September 2026 — 13,474 subscribers7 August 20268 September 2026
27 measurements spanning 32 days, net -1,027. 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 13,320–14,655 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Sept 2026, 10:0013,474-94
5 Sept 2026, 08:1713,568-18
3 Sept 2026, 09:4913,586-142
2 Sept 2026, 04:0313,728+1
1 Sept 2026, 05:4613,727+19
31 Aug 2026, 02:5213,708+10
30 Aug 2026, 02:2613,698-51
29 Aug 2026, 03:4713,749-81
28 Aug 2026, 05:5413,830-4
27 Aug 2026, 04:2413,834-11
26 Aug 2026, 01:0413,845-56
25 Aug 2026, 01:1813,901-11
23 Aug 2026, 12:4513,912-79
21 Aug 2026, 20:5413,991-70
20 Aug 2026, 16:3514,061-39
19 Aug 2026, 15:1514,100-1
18 Aug 2026, 18:1414,101-43
17 Aug 2026, 17:1814,144-42
16 Aug 2026, 13:5514,186-87
14 Aug 2026, 18:0614,273first reading

Engagement

29 posts held, back to 23 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.9%
avg views ÷ 13,474 subscribers
Avg views / post
3,490
8 posts measured
Reaction rate
3.48%
reactions ÷ views · ER floor
Posts in window
8
of 29 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 August 2026
Posts held29 (23 June 202631 August 2026)
Views total27,910
Reactions total972
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:48 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

Video runtime
3m 53s
Average length
12s

Measured directly from 19 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

3,823 reactions across 29 posts, in 19 distinct kinds. The most used accounts for 68.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,61868.5%
💩79820.9%
👍1644.29%
🤡591.54%
👻360.942%
🥰280.732%
🔥240.628%
🆒210.549%
🌚210.549%
👎200.523%
🤮190.497%
🎉30.078%
🤨30.078%
😁20.052%
😈20.052%
🥱20.052%
👏10.026%
🤩10.026%
🥴10.026%

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 29 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 3,823 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 23 June 2026 to 31 August 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
24
across the posts below
Posts paid on
14
of 29 we hold a reading for · 48%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hickcckc. 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 29 most recent posts we hold for this entry, published 23 June 2026 to 31 August 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

31 Aug 2026, 17:38 UTC≈1,380 views68 reactions2 Starsread 2 September 2026
Video

【艺名/车牌】 #小玲 #一般 @zxcas1231 #勿定金约课 【课费】600p 1100pp #在长 【标签】 #岳麓区 #嫩妹 #颜值车 #身材车 #炮架 #可舌吻 【基础信息】自聊 身高:156 体重: 40kg 年龄:18 【身材】:娇小玲珑且偏瘦 【人照相似度】:9分 本人看着更可爱 【皮肤】 肤色:黄 皮肤:滑嫩 【胸部】 胸型:饱满 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 紧 湿润度: 很润 【蛇】可舌吻 【老师类型】:嫩妹快餐型老师 【老师性格】:内向 【老师优点】:颜值可以,水多! 【服务内容】: 吹做舌吻 【情绪价值】:2 【啪啪叫床声】:7 【姿势熟练度】:6 【整体配合度】:7 【教室环境】:3 【价位软硬】: 5(适合快餐价300) 【机车行为】:无 【改进建议】:就简简单单三件套和舌吻配合好吧,加别催和摆脸色。 【特别说明】:无 【

48💩15👍2🤡2🆒1

29 Aug 2026, 02:57 UTC≈2,400 views122 reactions2 Starsread 2 September 2026
Video

【艺名/车牌】 #小叶子 #良好 @wmzn123 #勿定金约课 【课费】500p 900pp #在长 【标签】 #雨花区 😟碧桂园 #嫩妹 #态度车 #女友感 #炮架 #可舌吻 【基础信息】代聊 身高:165 体重: 50kg 年龄:18 【身材】:匀称带点肉肉 【人照相似度】:7分 😎本人没有那么“幼” 【皮肤】 肤色:黄 皮肤:滑嫩 【胸部】 胸型:饱满 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 紧 湿润度: 很润 【蛇】可舌吻 (是我自己没想舌) 【老师类型】:嫩妹女友感型老师 【老师性格】:健谈 【老师优点】:态度很好,口活很好,不催人!(当然我就日了一小会) 【服务内容】: 三件套有舌吻有六九(舌吻69我没体验) 【情绪价值】:8 【啪啪叫床声】:8 【姿势熟练度】:7 【整体配合度】:7 【教室环境】:8 【价位软硬】: 10 【机车行为】:无 【改进

94💩17👍6🤡3🆒2

26 Aug 2026, 03:05 UTC≈3,360 views102 reactions2 Starsread 2 September 2026
Video

【艺名/车牌】 #萱萱 #一般 @pfm6849 #勿定金约课 【课费】600p 1100pp #在长 【标签】 #雨花区 #嫩妹 #炮架 #可舌吻 【基础信息】自聊 身高:166 体重: 48kg 年龄:21 【身材】:匀称标准身材 【人照相似度】:7分 本人看上去成熟点 【皮肤】 肤色:黄 皮肤:屁股蛋子比较粗糙 【胸部】 胸型:饱满 罩杯:B 手感:充实 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 紧 湿润度: 润 【蛇】可舌吻 😟我看她洁癖我正好昨天吃了大蒜没去舌!(我可是好人) 【老师类型】:嫩妹死鱼型老师 【老师性格】:内向 【老师优点】:逼紧,口活不错 【服务内容】: 三件套+舌吻六九(我没玩) 【情绪价值】:5 【啪啪叫床声】:0(全程死鱼不叫) 【姿势熟练度】:6 【整体配合度】:8 【教室环境】:10 【价位软硬】: 5(死鱼最多400) 【机车行为】:无 【改进建议】:

71💩22🤡4👍3🌚1🆒1

23 Aug 2026, 03:29 UTC≈4,320 views191 reactions2 Starsread 2 September 2026
Video

【艺名/车牌】 #小虎牙呀 #一般 @xiaohytu #勿定金约课 【课费】550p 1000pp #在长 【标签】 #雨花区 #嫩妹 #排骨 #可舌吻 #平胸 😟“ 点击查看上次黑车报告 ” 【基础信息】代聊,身高:160 体重: 39kg 年龄:18 ? 【身材】:排骨 【人照相似度】:7分 【皮肤】 肤色:黄 皮肤:滑嫩 【胸部】 胸型:平 罩杯:A- 手感:略略略 【腿部】 腿长: 小长 腿型:纤细 【阴部】 紧度: 偏紧 湿润度: 润 【蛇】可舌吻 (随便舌) 【老师类型】:嫩妹乖巧老师 【老师性格】:乖 【老师优点】:嫩 【服务内容】: 舌吻+三件套 【情绪价值】:3 【啪啪叫床声】:0 【姿势熟练度】:2 【整体配合度】:8 【教室环境】:8 【价位软硬】: 5 (500吧) 【机车行为】:这次无 【改进建议】:技术叫声还是得叫 【特别说明】:无 【综合打分】:5.0 【推荐哪些

124💩47👍15🌚3🔥1🥰1

21 Aug 2026, 14:15 UTC≈3,830 views107 reactions2 Starsread 2 September 2026
Video

📱📱尊享🥰项目:全裸服务,体贴入怀,浪漫调情,舔蛋舔杆,特色毒龙,洗澡🛁、浪漫床前调情、柔式按摩、全身指划、全身👃尖👅尖漫游、后掏式调情、果冻毒龙、丝袜诱惑、🐍尖过蛋、肾保健、热油滚蛋;可😀胸出 😁臀出,📱腿夹👋夹,丝足诱惑📱 🚫🚫🚫🚫🚫🚫🚫🚫🚫🚫 长沙市:点击区域跳转👇👇 📍雨花📍芙蓉📍开福📍星沙 📍岳麓📍天心📍长沙县📍望城 🚫🚫🚫🚫🚫🚫🚫🚫🚫🚫 😀94全裸原价439💴小樱客服💞预约价399💴 ⚠️(个别店409💴以客服报价为准) 🈚️套路‼️🈚️多余消费项目‼️ 🚫🚫🚫🚫🚫🚫🚫🚫🚫🚫 🌝预约:小樱客服 🌝频道:长沙9294天花板 📱📱📱📱📱📱📱📱

73💩24🥰5👍3👎2

20 Aug 2026, 03:03 UTC≈3,730 views113 reactions1 Starread 2 September 2026
Photo

【艺名/车牌】 #琰琰 #一般 🥸以骗钱跑路 #勿定金约课 【课费】700p (活动600p) 快饿死直接降价500p,我冤种600p去的! #离长 【标签】 #雨花区 #嫩妹 #炮架 #身材车 【基础信息】代聊(沙币代聊还不愿意承认)身高:160 体重: 40kg 年龄:18 【身材】:瘦而不柴且有胸,曲线美 【人照相似度】:9分 本人更好看 【皮肤】 肤色:黄 皮肤:滑嫩 【胸部】 胸型:饱满 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:纤细 【阴部】 紧度: 紧 湿润度: 很润 【蛇】不可舌吻 (可亲亲)但是也没给我 【老师类型】:嫩妹死鱼型老师 【老师性格】:死鱼 【老师优点】:身材好,逼紧水多! 【服务内容】: 二件套 (无陪浴) 【情绪价值】:2 【啪啪叫床声】:0(全程不叫) 【姿势熟练度】:6 【整体配合度】:8 【教室环境】:10 (干净整洁) 【价位软硬】: 2(无舌无

71💩38👍2🌚1🤡1

17 Aug 2026, 03:09 UTC≈4,270 views138 reactions1 Starread 2 September 2026
Video

【艺名/车牌】 #米娜 #良好 @mina87876 #勿定金约课 【课费】600p 1100pp #在长 【标签】 #岳麓区 #嫩妹 #炮架 #白虎 #女友感 #态度车 #可舌吻 【基础信息】代聊,身高:168 体重: 58kg 年龄:19 【身材】:有些肉 【人照相似度】:7分 【皮肤】 肤色:偏白 皮肤:滑嫩 【胸部】 胸型:饱满 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:肉腿 【阴部】 紧度: 紧 湿润度: 润 【蛇】可舌吻 【老师类型】:嫩妹态度炮架型老师 【老师性格】:健谈 【老师优点】:态度挺好,下面粉嫩,看着像白虎 【服务内容】: 三件套 【情绪价值】:8 【啪啪叫床声】:8(主动叫爸爸) 【姿势熟练度】:8 【整体配合度】:8 【教室环境】:10 (干净整洁) 【价位软硬】: 8(开5吧,但是代聊抽) 【机车行为】:无 【改进建议】:都很中规中矩 【特别说明】:无 【综合打

85💩45🤡5🌚2🆒1

14 Aug 2026, 02:10 UTC≈4,620 views131 reactions1 Starread 2 September 2026
Video

【艺名/车牌】 #刘依然 #一般 @lyr999k #勿定金约课 【课费】600p 1100pp #在长 【标签】 #雨花区 #嫩妹 #炮架 【基础信息】代聊,身高:163 体重: 48kg 年龄:19 【身材】:匀称有点小小小肉 【人照相似度】:7分 【皮肤】 肤色:黄皮 皮肤:滑嫩 【胸部】 胸型:小巧 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 紧 湿润度: 润 【蛇】不可舌吻 【老师类型】:嫩妹炮架型老师 【老师性格】:平静 【老师优点】:口活好 【服务内容】: 三件套 【情绪价值】:5 【啪啪叫床声】:6 【姿势熟练度】:8 【整体配合度】:8 【教室环境】:10(很干净也没有异味) 【价位软硬】: 8(这只能说开5吧) 【机车行为】:无 【改进建议】:课表里的先做全,态度热情点,我们i人很多,需要老师带动! 【特别说明】:无 【综合打分】:6.8 【推荐哪

90💩34👻4🆒2🥴1

11 Aug 2026, 04:13 UTC≈4,680 views97 reactionsread 2 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6753207616

85👍8🔥2😁2

11 Aug 2026, 04:13 UTC≈4,370 views135 reactions1 Starread 2 September 2026
Video

【艺名/车牌】 #香奈儿 #一般 😟 号被盗,频道已经弄开盲盒活动 #勿定金约课 【课费】500p 900pp #在长 【标签】 #雨花区 #嫩妹 #炮架 #平胸 #可舌吻 【基础信息】自聊,身高:161 体重: 42kg 年龄:19? 【身材】:整体偏瘦屁股有肉 【人照相似度】:8分 就一眼,对版 【皮肤】 肤色:黄皮 皮肤:滑嫩 【胸部】 胸型:小巧 罩杯:A 手感:嫩 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 偏紧 湿润度: 润 【蛇】可舌吻 (但是我没舌到) 【老师类型】:嫩妹精神小妹害羞型老师 【老师性格】:害羞 【老师优点】:日感好,姿势比其他嫩妹会,皮肤滑嫩 【服务内容】: 二件套 (前后脚洗澡) 【情绪价值】:4 【啪啪叫床声】:4 【姿势熟练度】:8 【整体配合度】:8 【教室环境】:10(精神小妹但是房间干净整洁) 【价位软硬】: 8(无陪浴无情绪可以开4) 【机车

101💩28🤡3🌚2👎1

7 Aug 2026, 14:52 UTC≈4,960 views126 reactions3 Starsread 2 September 2026
Video

【艺名/车牌】 #晴子 #良好 @ym200706 #勿定金约课 【课费】500p 1000pp #在长 【标签】 #岳麓区 #嫩妹 #颜值车 #态度车 #女友感 #炮架 【基础信息】自聊,身高:161 体重: 44kg 年龄:20 【身材】:匀称(有点小肚肚) 【人照相似度】:8分 【皮肤】 肤色:黄皮 皮肤:滑嫩 【胸部】 胸型:饱满 罩杯:B 手感:柔软 【腿部】 腿长: 匀称 腿型:匀称 【阴部】 紧度: 偏紧 湿润度: 很润 【蛇】不可舌吻 (可kiss) 【老师类型】:嫩妹颜值性价比型老师 【老师性格】:开朗 【老师优点】:态度情绪配合都很好 【服务内容】: 三件套 【情绪价值】:8 【啪啪叫床声】:8 【姿势熟练度】:8 【整体配合度】:8 【教室环境】:9 【价位软硬】: 10 【机车行为】:无 【改进建议】:制服+开舌 【特别说明】:无 【综合打分】:8.2 【推荐哪些狼友打

80💩36👍6🤡3🆒1

6 Aug 2026, 05:47 UTC≈4,710 views111 reactions1 Starread 2 September 2026
Photo

🔥【长沙私影女仆公馆MMK】🔥 📱 店铺位置:全长沙 🧚‍♀️选妃地址:😒技师照片及反馈 🧩营业时间:下午4点~凌晨4点 🧩妹子出勤:10+ 🧩服务内容:亲嘴👄 亲胸🐻 摸腿🦵 摸上摸下 上半身真空 🐍吻 换装 双钟解锁✈️飞机模式(海选嫩妹)SM调教 🧩出水方式:手出 足出 🧩线下陪玩:女友制半绿,可亲摸。(应酬,看电影,打游戏,逛街,散步,吃饭,唱歌等多种娱乐项目)外出3小时起点,三公里内可两小时。女孩子都是非常懂事听话的,服务体贴,让你体会宾至如归的感觉。 📱📱📱 📱电报客服: 客服皮卡丘 点击联系 📱双向联系: 皮卡丘小助理 点击联系 📱QQ: 24913373 🥰:需要了解安排的哥私聊客服皮卡丘报位置,人数以及要求,各个店铺质量参差不齐,如遇不喜欢可以私聊客服进行调换,每个店铺价格有略微差异 😀😀😀😀😀😀😀😀😀

75👎14💩11🥰8🥱2👍1

Showing the 12 most recent of 29 posts we hold for @hickcckc. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“长沙一肆酒家” (@hickcckc), 13,474 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/hickcckc.

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.