最后一课🈳🈶

Channel
小歪的家🏠
@lh2007ll1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
964subscribers
-954 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004430587529 |
|---|---|
| Type | Channel |
| Username | @lh2007ll1 |
| Created | Between 1 June 2026 and 4 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 9 August 2026 |
| On Telegram | t.me/lh2007ll1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 20:53 | 964 | -843 |
| 7 Aug 2026, 06:58 | 1,807 | -111 |
| 6 Aug 2026, 22:46 | 1,918 | first reading |
Engagement
25 posts held, back to 4 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 31.3%
- avg views ÷ 964 subscribers
- Avg views / post
- 302
- 24 posts measured
- Reaction rate
- 0.253%
- reactions ÷ views · ER floor
- Posts in window
- 25
- of 25 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 4 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 25 (4 August 2026 – 7 August 2026) |
| Views total | 7,243 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:29 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
- 19s
- Average length
- 10s
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
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| ⚡ | 1 | 33.3% |
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 4 of the 25 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 4 August 2026 to 7 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
🈶🈳哥哥们🉑约
【萝莉报告】:[https://t.me/SZLLJJD] 【所在位置】: 深圳龙华 【老师艺名】: 小歪 【联系方式】:@lh2007ll 【验证留名】: 保时捷 【验证时间】:2026.08.06 【上课价位】: 900 【颜值身材】: 不胖不瘦 很好 【服务内容】: 洗吹做 【服务态度】: 服务体贴态度好。 【优点缺点】: 嫩 萝莉 很紧 【推荐程度】: 强烈推荐 【体验细节】:小歪老师是个小萝莉,活泼开朗,性格很好,很会聊天,超级可爱,服务过程中不催不急,很认真,课室干净整洁没有门禁,没有摄像头,安全方面做的很到位,B紧水多,后入的时候屁股很挺,很爽!必反. ✍️报告提交点击[ @xiaobao2bot ] 注:(提交报告需要提供相关证明,如聊天记录,付款记录等) 岛上专员严查假报告!写手代写出门右转
最新验证👄
❤1
宝宝醒啦🉑约头课👄
晚安全世界🌍
深圳茶餐厅 🍵 本群倡导言论自由,欢迎诸位踊跃交流,并设有丰富福利活动 🎉 茶餐厅:https://t.me/Sz_cct 取餐区:https://t.me/Sz_qcq 老板娘:@CCTgly 双向联系:@LBNZS_bot 🤝
给哥哥展示一下才艺💋 喜欢嘛😘
❤1
宝宝🍼有空👄
https://t.me/luolibang/3625
🈶🈳
【深圳花满楼】 https://t.me/szhmll 【验证时间】:2026-08-06 【老师名字】:小歪 【老师账号】:@lh2007ll 【验证留名】:ccn 【人照相似】:8.5 【颜值身材】:9 【服务评分】:8.5 【态度评分】:10 【课室环境】:9 【体验过程】:看到又来一个新的嫩妹,还是刚下海的,就约了老师时间,老师指引上楼,环境不错;老师真人嫩,人好活泼,挺爱聊天,说话也总是笑眯眯的,颜值也好,屁股大有弹性,而且态度挺好;老师一开始主动去换了情趣服,然后床上靠在一起聊了会天,挺温柔的妹子,服务有口和蛇,我也只要求这俩个,老师不愧刚下海,可以看出来老师口的很卖力了,虽然技巧欠缺,但刚下海的嫩妹嘛,口的卖力就行,之后开做,我喜欢主导,那必然边蛇边做,老师也主动送上,姿势都配合,下面湿紧,叫声带点老师爽爽的感觉,让人上头,最后后入释放,然后又躺着聊了一会;总体来说,老师不错,值得推荐ദ്ദി˶ー֊ー )✧! …
Showing the 12 most recent of 25 posts we hold for @lh2007ll1. 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 — 384,893 of 1,340,412entries 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 2 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's posts.
@hmlzyb · 18,5122 posts深圳学院名师榜
@szwww · 13,2992 posts深圳嫩妹萝莉榜(重生版)
@luolibang · 18,6511 post深圳·嫩妹学院🅢
@nmeix09 · 29,9211 post女仆点评栏
@npdplsz666 · 2,4841 post派大星抽奖优惠活动频道
@pdxdcjzl · 14,6591 post深圳三和修车大队-【报告】
@sz3hdsrp · 13,8331 post深圳.取餐区
@Sz_qcq · 22,5061 post深圳萝莉聚集岛
@SZLLJJD · 5,1971 post深圳·嫩妹学院【认证榜】2.0
@sznm08 · 17,9641 post深圳·嫩妹学院【出击报告】
@sznmxycjbg · 4,4261 post
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“小歪的家🏠” (@lh2007ll1), 964 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/lh2007ll1.
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.