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Channel

南山乐一小花园、(休息🀄️)

@leyi78911

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

8,756subscribers

+6,735 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1003760228754
TypeChannel
Username@leyi78911
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/leyi78911

Growth

2,0219,0725,546.57 September 2026 — 2,021 subscribers7 September 2026 — 2,021 subscribers9 September 2026 — 3,609 subscribers13 September 2026 — 9,072 subscribers18 September 2026 — 8,756 subscribers8,7567 September 202618 September 2026
5 measurements spanning 11 days, net +6,735. 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 963–10,130 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 08:178,756-316
13 Sept 2026, 15:219,072+5,463
9 Sept 2026, 17:173,609+1,588
7 Sept 2026, 02:222,021no change
7 Sept 2026, 01:472,021first reading

Engagement

19 posts held, back to 25 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.2%
avg views ÷ 8,756 subscribers
Avg views / post
1,940
16 posts measured
Reaction rate
0.053%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 16 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 6 September 2026
Posts held19 (25 August 20266 September 2026)
Views total31,093
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 02:22 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
5s
Average length
5s

Measured directly from 1 video 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 6 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 19 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 19 most recent posts we hold, published 25 August 2026 to 6 September 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

6 Sept 2026, 22:38 UTC153 viewsread 7 September 2026
Photo

🎉 双节同庆🎁宠粉礼遇 千元红包🧧豪礼相送 🎁 奖品内容: • 500现金🧧•中奖联系: @leyi11135 × 1 • 500现金🧧•中奖联系: @xiaotianjiu666 × 1 • 500现金🧧•中奖联系: @xiaomi08901 × 1 • 500现金🧧•中奖联系: @bbmp6 × 1 • 500现金🧧•中奖联系: @Dd10012007 × 1 ✅ 参与条件: 1. 加入 深圳长安主频道 2. 加入 又见芳华 3. 加入 深圳沙漠之翼 4. 加入 南山乐一小花园 5. 加入 77 朋友圈🉑蛇吻 6. 加入 深圳 豆豆 小纯 朋友圈 7. 加入 小米💋朋友圈 8. 加入 D🐻小甜九日常更新课表屋 📝 抽奖说明:双节宠粉🧧,开奖后48小时内联系兑奖,逾期作废。提前退出群或者频道机器人会判定无效参与 ⏰ 开奖时间:2026-09-13 20:10 👇 点击下方按钮参与抽

6 Sept 2026, 08:34 UTC370 viewsread 7 September 2026
Forwarded from @baogaohuajianji

百花名录报告模板 { https://t.me/huaxufengnan } 位置坐标: 深圳 验证留名: bk 上课时间: 8月27日 老师名字: 乐一 联系方式: @leyi11135 上课花费: 1600/p 身材颜值: 9.5分 硬件:甜妹.大胸.蜜桃臀,眼臀部的确无敌 情绪互动: 她很会聊天,情商高,相处起来很舒服,全程不会冷场,也不会让人觉得刻意讨好,属于能提供很高情绪价值的类型。整个过程轻松愉快,像和一个熟悉的朋友在玩,很放松。 体验过程: 乐一属于典型的江南甜妹长相,声音软糯好听,第一眼就很有亲切感。颜值很高,脸上鼻子附近能看出轻微调整过的痕迹,但整体很自然,属于加分项。身材是最大的亮点——大胸、细腰,加上堪称完美的蜜桃臀,曲线非常养眼,视觉冲击力很强。 先一起聊了会儿天,然后共浴。她在浴室里突然来了个水中萧,挺意外的惊喜。当天状态不错,本来想在楼上先玩一下抱艹的姿势,结果玩嗨

4 Sept 2026, 10:32 UTC≈1,100 viewsread 7 September 2026
Forwarded from @baogaohuajianji

百花名录报告模板 { https://t.me/huaxufengnan } 位置坐标: 深圳 验证留名: @qinkai1230 上课时间: 8月25日 老师名字: 乐一 联系方式: @leyi11135 上课花费: 1600/p 身材颜值: 9.5分 硬件:甜妹.大胸.蜜桃臀 情绪价值:乐一是个i人. 体验过程:如约到老师地址.老师开好门.在餐桌等待着我.乐一是甜妹型.她开口那刻我的心都化了.声音好听.乐一是个i人没有过多聊天就一起共浴了.擦干上床.乐一刚做很多比较生疏但口起来很舒服.没多久我受不了让戴套进入正戏.乐一做爱起来就一点不i.女上很狂野.瘦小的身材但屁股的肉不少.冲击起来很舒服.乐一身材小个尝试抱起来冲击.乐一随口来句讨厌.那甜甜的嗓音让我越发卖力最后转入床上正规姿势出水.事后乐一会一起抱着温存.不赶人.虽然不会聊天但也非常值得一去 优点:年轻紧致.小小的身材胸也不小

29 Aug 2026, 14:30 UTC≈2,310 views2 reactionsread 7 September 2026
Photo

报告模版 【学生留名】: 韩韩 【验证老师】: 乐一 @leyi11135 【本人跟照片比较如何】: 嫩的不可理喻 【吸引你的点】: 极品身材极品颜值 【她不足的点】: 刚开就满了 【楼里是否登记 监控多吗】: 不多 【过程描述】: 听闻极品女神驾到 近日关注了的新妹妹乐一,很多认识的好兄弟都推荐了,刚好我也有券,必须亲自一探妹妹深浅。 火速约上课程 在妹妹休息的前一天约课,这一个尾炮必须打上,到了约定时间来到课室,按照提示上楼,地址是南山著名景点,想必各位狼友应该轻车熟路了已经。等了一会电梯顺利上楼,推门进入课室,看到了传说中的乐一妹妹,身材确实有些违规,首先映入眼帘的就是妹妹呼之欲出的胸部,然后我观察了一下她的脸蛋,还是比较可人的,妹妹开口问好,声音软软糯糯的,给我抵水。 细致的享受 交了水费后,妹子上楼放水,我稍作收拾也跟了上去,一上楼就看见妹妹已经脱掉了下半身的衣服,春光乍现,看着那异于常人的臀部,我实在是

2

27 Aug 2026, 14:26 UTC≈2,950 views1 reactionsread 7 September 2026
Photo

133、#乐一 @leyi11135 不露脸的新人,等群里老狼探了说很好,果断预约。妹子说还在上学,所以不方便露脸。 优点:大眼睛,人很温柔,说话软软的很好听。 身高160左右,小只马,很苗条,身材很好,小蛮腰大长腿大屁股,腰臀比一流,妹子经常健身,没有赘肉; 🐻比较大,略有科技,但摸起来还是软软的; 态度很好,大蟒蛇,摸几下下面就湿漉漉了,屌感很好,很紧,后入对着小蛮腰大屁股非常爽,夹子音叫爸爸叫床很爽,反应真实! 不足:🐻略有科技,技术有待提高。 总体:A+,1.6kp,小只马好身材温柔女大!

1

Showing the 12 most recent of 19 posts we hold for @leyi78911. 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

Republished by

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

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

“南山乐一小花园、(休息🀄️)” (@leyi78911), 8,756 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/leyi78911.

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.