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Channel

鹿鹿的朋友圈😘

@lulu102014

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

488subscribers

+12 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004492030052
TypeChannel
Username@lulu102014
Created20 October 2026 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live4 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/lulu102014

Growth

4764884823 Nov 2026, 15:22 — 476 subscribers4 Nov 2026, 08:05 — 488 subscribers3 Nov 2026, 15:224 Nov 2026, 08:05
2 measurements taken within a single day, net +12. 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 474–490 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 08:05488+12
3 Nov 2026, 15:22476first reading

Engagement

13 posts held, back to 20 October 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
332.1%
avg views ÷ 488 subscribers
Avg views / post
1,620
12 posts measured
Reaction rate
0.068%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 8 of 12 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 November 2026
Posts held13 (20 October 2026 – 3 November 2026)
Views total19,445
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 15:22 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
56s
Average length
14s

Measured directly from 4 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

10 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10100.0%

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 8 of the 13 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 20 October 2026 to 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 13 posts held from the last 30 days (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).

3 Nov 2026, 05:46 UTC234 views1 reactionsread 3 November 2026
Photo

有🈳可预约 🉑拍视频留念 个人频道: https://t.me/lulu102014 双向助手: @lulu1020_bot 私信: @lulu1020

❤1

31 Oct 2026, 09:19 UTC599 viewsread 3 November 2026
Video

有🈳可预约了 🉑拍视频留念 个人频道: https://t.me/lulu102014 双向助手: @lulu1020_bot 私信: @lulu1020

31 Oct 2026, 07:19 UTC622 viewsread 3 November 2026
Photo

开课啦宝宝们,🉑拍视频留念 个人频道: https://t.me/lulu102014 双向助手: @lulu1020_bot 私信: @lulu1020

23 Oct 2026, 04:41 UTC≈2,220 views1 reactionsread 3 November 2026

【时间】:2026-10-22 【群组】:西安都市日报 【老师】:鹿鹿 【留名】:酒后行为艺术家 【整体】:9 【过程】:鹿鹿老师,最近新开经典的西桃园小区,顺利进门见到了鹿鹿,鹿鹿向我问好鹿鹿老师贴心的为我准备了水拿了拖鞋今天天气降温外面非常冷进到鹿鹿老师的房间瞬间暖和,鹿鹿老师非常热情,不会冷场鹿鹿老师和我脱完衣服,老师就去放水我大概看下环境非常优美空间非常大,然后就和璐璐老师一起共浴,相互为彼此打花洒打泡泡鹿鹿老师的手在我的胸口和🐮打满了绵密的泡沫,上床之后更是女友般的感觉性格非常的活泼让我找到学生时候的感觉

❤1

22 Oct 2026, 08:01 UTC≈2,010 views1 reactionsread 3 November 2026

【时间】:2026-10-21 【群组】:西安都市日报 【老师】:鹿鹿 【留名】:Sruse🐆🐾 【整体】:9 【过程】:日报探险榜上新,一看是喜欢的类型提前预约,准时到达遥控指引上楼,没有罚站。先表结论:初下海嫩妹,苗条萝莉款,无纹身不精神,性格态度好,值得打卡。 【身材】:160左右,苗条身材,皮肤黄偏白非常光滑,没有纹身。 【人照相似】:基本一致,有美颜,本人化的流行妆。 【凶器罩杯】:A+,乳头内陷,粉嫩,小荷才露尖尖角,好看好吃。 【服务】:有陪洗,一次性浴巾,有舔胸,口活,女上后入各种姿势配合,可自己发挥,无机车。 【过程】:教室在南郊高新著名街区,交通建议开车或打车,乘坐地铁不方便。开门见人,白色连衣裙👗白色小高跟,妥妥萝莉小妹,废话不多说,边聊天破冰边准备开战,小妹初下海,不油不机车,自始至终哥长哥短,有情商没有不耐烦,陪洗大大方方,上床舔胸开始,口活无齿感,传教、女上、后入都很配合,花儿粉嫩无异味,后…

❤1

22 Oct 2026, 08:00 UTC≈1,730 views2 reactionsread 3 November 2026

【时间】:2026-10-22 【群组】:西安都市日报 【老师】:鹿鹿 【留名】:Kcripr 【整体】:9 【过程】:小区里面位置好找,高新区新开的嫩妹还挺少的。人照无差正常美颜,妹妹属于娇小型,身材匀称,不骨感但能看到马甲线,值得一提的是妹妹没有纹身,肤色白皮肤好,脱光光看着真的赏心悦目。 妹妹活泼挺爱说话的,进门聊会天交水费,然后帮洗上床,嫩妹服务不多,口着很舒服,提枪上马下面紧致摸起来水润。换了几个姿势也是愉快出货。 总结:挺活泼的嫩妹,肤色白无纹身,像是可爱的邻家小妹,cj愉快值得一试。

❤2

21 Oct 2026, 15:02 UTC≈1,880 views2 reactionsread 3 November 2026

✅西安快活林已认证此车评: @xianKHL 【时间】:2026-10-21 【老师】:鹿鹿 【留名】:匿名 【评价】:👍 好评 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:10 【环境】:9 【综合】:9.5 【过程】:根据定位导航,找到科室,交通方便易寻,民宿酒店,进出无需登记门禁,备有一次性浴巾,有饮用水 人像比频道内照片能好看点,柔柔诺诺的一个姑娘,身形腰臀比例协调,皮肤挺白,全身无皮肤贴纸,紧致顺滑无鸡皮,青丝如瀑直挂后腰,两座碗型玉峰约莫B大小,坚挺饱满手感佳,腿型笔直,极其适合黑色吊带丝袜 穿着邻家清新风,无风尘感,进门一直浅浅笑着,聊天没有陌生感,性格较活泼,合理要求都能满足 进门后和鹿鹿简单寒暄着,鹿鹿主动递过拖鞋,帮挂衣服,我也是很自然用她入怀,双手一直把玩玉峰,擦拭完后躺在床上,灵蛇在胸膛游离,缓缓去衣物去浴室防水,稠密的黑发及腰,双腿笔直,我从身后袭去,双手在鹿…

❤2

21 Oct 2026, 12:38 UTC≈1,970 views0 reactionsread 3 November 2026

✅西安快活林已认证此车评: @xianKHL 【时间】:2026-10-21 【老师】:鹿鹿 【留名】:匿名 【评价】:👍 好评 【人照】:7 【颜值】:8.5 【身材】:8.5 【服务】:8.5 【态度】:9 【环境】:9.5 【综合】:8.5 【过程】:感谢菩提工位 环境很好,大开间,而且和客厅隔开了,很干净,床也大,进门小小一只,白裙子,高跟鞋,裸身高160,90斤,有舞蹈底子, 身材很不错,不是精神小妹,学舞蹈的不用多说,品味和教养礼貌啥的,不是精神小妹那种,两个乳头都是凹陷的,而且特别软,嫩,b杯左右,形状也很好看,我本不是胸控,但是这个胸真的相当无敌,不是那种无脑大,是软嫩,虽然是舞蹈底子,但是怠惰了,不算很瘦,但是也一点不胖,而且一点肚子都没有,脚很软,也小,态度没得说,微微辣条音,聊得开,抽象妹妹,脸圆圆的,只画了淡妆,很有特点,很亲近接地气,但不土,随便🐍,口技很不错,意外的不错,很有技巧,听说是第一次做这个,…

20 Oct 2026, 11:19 UTC≈2,450 viewsread 3 November 2026

明天下午开课联系 今天有事回复不及时请见谅☺️

Showing the 12 most recent of 13 posts we hold for @lulu102014. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“鹿鹿的朋友圈😘” (@lulu102014), 488 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/lulu102014.

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.