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Channel

噜噜的生活

@lu5431

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

4,211subscribers

+3,122 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004482845987
TypeChannel
Username@lu5431
CreatedBetween 1 June 2026 and 16 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live17 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/lu5431

Growth

1,0894,2112,65016 Aug 2026, 17:15 — 1,089 subscribers17 Aug 2026, 10:18 — 4,211 subscribers16 Aug 2026, 17:1517 Aug 2026, 10:18
2 measurements taken within a single day, net +3,122. 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 621–4,679 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:184,211+3,122
16 Aug 2026, 17:151,089first reading

Engagement

20 posts held, back to 16 August 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
2.11%
avg views ÷ 4,211 subscribers
Avg views / post
89.0
18 posts measured
Reaction rate
1.64%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 1 of 18 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 16 August 2026
Posts held20 (16 August 202616 August 2026)
Views total1,602
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 17:15 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 20 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 August 2026 to 16 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

16 Aug 2026, 08:07 UTC152 viewsread 16 August 2026
Photo

🎰 噜噜的夏日福利 📮 抽奖条件: 🎫 加入-杭州肯德基 🎫 加入-杭州全家桶菜单 🎫 加入-杭州肯德基工兵 🎫 加入-杭州肯德基广告/搜索群 🎫 加入-噜噜的生活 🎁 奖品内容: 半价p × 1 口令50 × 1 💡 活动说明: 本次活动由 #噜噜 @hzlulu2 独家赞助,优惠7日兑换,口令3日兑换 📅 开奖日期:(UTC+8) 2026年08月21日 20时00分00秒

16 Aug 2026, 07:45 UTC131 viewsread 16 August 2026

✊杭州花魁只选真正的花魁🎃给你心目中的花魁投票吧👑! 👍杭州花魁榜🥰 https://t.me/THDY1 👍杭州花魁交流群👍 https://t.me/THSP99

16 Aug 2026, 07:44 UTC116 viewsread 16 August 2026
Forwarded from @hzxm12

杭州修车协会 群里有现金福利、白嫖福利、水群福利等各项福利 协会: https://t.me/hzxc666666 甄选榜单: https://t.me/hznmjzysnt 甄选报告:https://t.me/hznmzjycjg 收录杭州优质老师,高质量狼友 每日半价福利,每月现金补贴出击活动!

16 Aug 2026, 07:44 UTC100 viewsread 16 August 2026

嫩妹馆福利群来啦💥 5折、6折、7折优惠免费领,现金红包抽奖不停! 认准榜单老师,专属福利一手掌握 速进群: 🔣点这里进群🔣

16 Aug 2026, 07:44 UTC94 viewsread 16 August 2026

✨我在杭州基金会上榜啦!✨ 🔥活动目不暇接,福利眼花缭乱🔥 😡快来一起玩吧🤚 https://t.me/Foundation_Of_HangZhou

16 Aug 2026, 07:43 UTC92 viewsread 16 August 2026
Forwarded from @HzdxBGp

📖杭州大学专用报告📖 https://t.me/hz_dx 【课程评价】:#超级好评 【老师花名】:#噜噜上城 【联系方式】: @hzxmu 【课时费用】:工兵 【老师类型】:#可爱 #甜妹 【验证留名】:滴滴 【验证时间】:7月2号 【课室位置】:#上城东站附近 【课程服务】: ▪️事前陪浴 ▪️事后萧 ▪️事后陪浴 【人照相似】:8 【身高体重】:162,100 【肤色罩杯】:b,黄白 【纹身数量】:3 【课室卫生】:高档小区,进出方便 【个人卫生】:配备一次性用品,个人卫生良好 【服务态度】:有耐心,内容都有做 【详情反馈】: #老师缺点 无 #老师优点 校园系,俏皮,热情活泼,呆在一起感觉很舒服,身材有手感 #情绪价值 情绪价值满满,小鸟依人 #出击体验与流程总结 吃完饭后约好时间,半路有事迟到了10分钟,见面感觉很好,一进去就很热络,跟老师一同进入浴室,她先让我测了一下水温,便帮我正反面冲洗了一次,然后擦干身体上床,老

16 Aug 2026, 07:43 UTC83 viewsread 16 August 2026
Forwarded from @HzdxBGp

📖杭州大学专用报告📖 https://t.me/hz_dx 【课程评价】:#好评 【老师花名】:#可可 【联系方式】:@keke6688666 【课时费用】:工兵P 【老师类型】:#嫩妹 【验证留名】:SK 【验证时间】:7.2 【课室位置】:#滨江 【课程服务】: ▪️舌吻 ▪️69互舔 【人照相似】:9分,真人比照片更漂亮 【身高体重】:身高165,体重90左右 【肤色罩杯】:A,白皮 【纹身数量】:无 【课室卫生】:整体环境整洁/有一次性浴巾 【个人卫生】:没在我面前抽 【服务态度】:无鸽子/无罚站/无下菜/无催钟 【详情反馈】: #老师缺点 太瘦了 #老师优点 呻吟,骚话不断 #情绪价值 满满 #出击体验与流程总结 准时到达,准时开课,进门见本人比照片好看,穿着情趣内衣外面套着白衬衫,妆感精致,整个人香香的,抱着就舌吻了起来,嘴里也甜甜的,交了水费,跟老师一起进浴室洗洗,全程帮洗,有水中萧,再次拥吻,一摸下

16 Aug 2026, 07:43 UTC72 viewsread 16 August 2026

杭州日报报告 https://t.me/ribao_zhongzhuan 【评分标准】: 9分 【妹子花名】:#噜噜 【联系方式】:@hzxmu 【妹子年龄】:20- 【验证留名】:如何 【验证时间】:7月3日 【大概位置】:上城黎明 【修车水费】:竞拍p 【服务内容】:有的打✅ ① 陪浴✅ ② 舌吻 ✅ ③ 69舔逼 ✅ ④ 情绪价值✅ ⑤ 毒龙 【人照相似】:人照相似度9,颜值可爱嫩妹 【身材皮肤】:身高腿长167+,有点点微胖,纹身手臂有,皮肤黄皮 【凶器罩杯】:胸型B,乳头小小一颗,手感软 【户型湿紧】:馒头户型,水量多紧度正常,周围毛量正常 【课室环境】:交通 停车方便,房间环境整洁 【个人卫生】:没啥烟味,有漱口水 浴巾,事前有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务总结】:课表服务无少作,服务到位,过程无机车 【过程描述】:周五下班直奔课室,

Showing the 12 most recent of 20 posts we hold for @lu5431. 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.

Citation-graph rank

Citation-graph rank — 1,411,555 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

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

“噜噜的生活” (@lu5431), 4,211 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/lu5431.

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.