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Channel

洛洛(碑林区)

@louloubb888

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

1,172subscribers

+13 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003831266527
TypeChannel
Username@louloubb888
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/louloubb888

Growth

1,1591,1721,165.57 August 2026 — 1,159 subscribers7 August 2026 — 1,159 subscribers8 August 2026 — 1,161 subscribers11 August 2026 — 1,164 subscribers14 August 2026 — 1,172 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +13. 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 1,157–1,174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:561,172+8
11 Aug 2026, 06:541,164+3
8 Aug 2026, 01:341,161+2
7 Aug 2026, 23:341,159no change
7 Aug 2026, 19:361,159first reading

Engagement

12 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
106.8%
avg views ÷ 1,172 subscribers
Avg views / post
1,250
12 posts measured
Reaction rate
0.076%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 6 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 2 August 2026
Posts held12 (26 July 20262 August 2026)
Views total15,022
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:34 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
22s
Average length
11s

Measured directly from 2 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 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 6 of the 12 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 26 July 2026 to 2 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.

Recent posts

28 Jul 2026, 12:17 UTC≈1,420 views2 reactionsread 7 August 2026
Forwarded from @xianlycpPhoto

【评价等级】: 👍 好评 【日 期】: 2026-07-27 【验 证 人】: congban 【美女昵称】: 洛洛 【地 区】: 碑林区 【人照得分】: 9.0 【颜值得分】: 9.0 【身材得分】:9.5 【服务得分】: 9.8 【态度得分】: 9.8 【环境得分】: 9.2 【综合得分】: 9.38 【年 龄】: 22 【凶 器】: C+ 【服务过程】: 看了洛洛频道的资料,感觉硬件很顶。走到大街上会多看几眼的那种,五官比较立体,刚好有时间,。提前约好,遥控上楼,妹妹留好门了,一看来对了,一眼看过去,青春的气息扑面而来,本人颜值好看,身材苗条匀称,是我喜欢的款。进入洗浴环节,褪去衣物,仔细欣赏酮体,前凸后翘,真是极品。全身皮肤光滑水嫩,C胸亭亭玉立,下面幽幽小森林,引人遐想,受不了受不了,洗澡上床立马抱在怀里,狠狠疼惜一番,大胸、小嫩穴一个不放过,也是狠狠吃了个饱

2

28 Jul 2026, 08:39 UTC≈1,280 views1 reactionsread 7 August 2026
Forwarded from @xncsbPhoto

⚠️狼友评价存在个人主观,仅供参考 【时间】:2026-07-27 【群组】:西安花满楼 【老师】:洛洛 【留名】:常青 【人照】:9.3 【颜值】:9.3 【身材】:9.5 【服务】:10 【态度】:10 【环境】:9 【综合】:9.52 【过程】:二刷洛洛老师了、见面还是一如既往的漂亮,皮肤保养的真好呀,手感贼棒,爱不释手那种; 自从上次约了后 就念念不忘,奈何一天逼班上个没完没了,今天终于有空约一课了,洛洛老师的服务也是好的没得说,待人特别亲切,犹如跟自己女友约会一样,让人特放松;老师给人印象最深刻的还是她那完美的身材,有胸有屁股的,还是a4腰、这都到底怎么长的 能这么完美、啪啪完 坐下休息 不知不觉一节课到点了,都舍不得走,总有一别,下次再见吧! 【From】: @nmvip

1

28 Jul 2026, 03:12 UTC≈1,210 viewsread 7 August 2026
Photo

【所属群组】:西安一品楼 【时间】:2026-07-27 【老师】:洛洛 【留名】:宇宙 【人照】:9 【颜值】:9 【身材】:9 【服务】:9.5 【态度】:9.5 【环境】:9.2 【综合】:9.2 【过程】:今天看到洛洛老师从1100降到900了,早就想约她就是奈何囊中羞涩 这次不带犹豫的 立马约了位置 心心念念啊 顺利上楼 见面第一眼 太奈斯了 照片几乎一模一样 出照片甜 四川妹子 说话软软的 交了钱 抱了一下 好香 哈哈 过程不说了 身材很好 属于胸大腰细类型的 关键是水多 叫声真的好听 完事以后回味无穷 回家继续攒钱 下次再来 ✅本条车评一品楼已通过: @XA_YPL

26 Jul 2026, 13:15 UTC≈1,560 views0 reactionsread 7 August 2026
Forwarded from @xncsbPhoto

⚠️狼友评价存在个人主观,仅供参考 【时间】:2026-07-25 【群组】:西安花满楼 【老师】:洛洛 【留名】:Bear 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:被洛洛妹妹照片吸引了,光速出击 拥堵的西安让我开车开了将近一个小时终于到达,幸好提前出发的,就迟到了几分钟,感觉还挺抱歉的,但老师态度很好,拉着我的手一同坐到沙发上 闲聊一会才去洗澡,有一说一妹妹的大长腿有得玩,跟筷子一样,腿形是真好,a4腰看起来真性感,随即上床进入正题.嫩妹三件套,结束之后提枪上马,先让妹妹坐在我身上摇了一会,妹妹的叫声很清脆很入耳,接着后入 妹妹的臀部很圆润,看着很有感觉,妹妹在这个体位感觉也是最深的,随后切换到传教在妹妹呻吟声中结束了战斗,寒暄了一会 拥抱说再见! 【From】: @nmvip

26 Jul 2026, 06:20 UTC≈1,590 views1 reactionsread 7 August 2026
Photo

用户名:@meiguo22233 双向机器人:@luoluohh_bot

1

Showing the 12 most recent of 12 posts we hold for @louloubb888. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“洛洛(碑林区)” (@louloubb888), 1,172 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/louloubb888.

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.