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Telegram profile photo for 香芋的花园小屋🏠

Channel

香芋的花园小屋🏠

@L1027X

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

1,587subscribers

+19 since we began measuring on 19 August 2026

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

Register entry

Telegram ID-1002028678892
TypeChannel
Username@L1027X
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live2 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/L1027X

Growth

1,5681,5871,577.519 August 2026 — 1,568 subscribers19 August 2026 — 1,569 subscribers22 August 2026 — 1,576 subscribers25 August 2026 — 1,579 subscribers28 August 2026 — 1,576 subscribers31 August 2026 — 1,577 subscribers2 September 2026 — 1,587 subscribers19 August 20262 September 2026
7 measurements spanning 15 days, net +19. 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 1,565–1,590 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 23:141,587+10
31 Aug 2026, 01:041,577+1
28 Aug 2026, 03:331,576-3
25 Aug 2026, 10:521,579+3
22 Aug 2026, 16:541,576+7
19 Aug 2026, 04:111,569+1
19 Aug 2026, 02:151,568first reading

Engagement

19 posts held, back to 8 March 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
38.7%
avg views ÷ 1,587 subscribers
Avg views / post
614
3 posts measured
Reaction rate
0.563%
reactions ÷ views · ER floor
Posts in window
3
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 2 of 3 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 held19 (8 March 202616 August 2026)
Views total1,843
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 02:15 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.

What this channel posts

Video runtime
43s
Average length
9s

Measured directly from 5 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

39 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 56.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2256.4%
👍1230.8%
😍37.69%
😘12.56%
🥰12.56%

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 13 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 39 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 8 March 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

12 Aug 2026, 09:59 UTC784 views6 reactionsread 19 August 2026
Photo

被☺️到的一天😘😘😘 原因是上一次约了PP然后有事要走啦,我说退给他他不要,就说那下次不用给,“因为比较熟,所以知道会有下次”这次走之前就偷偷放桌子上还用纸巾盖起来,太可爱啦🥹🥹🥹

👍51

28 Jul 2026, 05:18 UTC≈1,980 views3 reactionsread 19 August 2026
Photo

私聊入口 @L1027x88 微信Lx8888wd

2🥰1

27 Jul 2026, 03:25 UTC≈1,830 views2 reactionsread 19 August 2026
Video

搬砖模式已开启😀😀😀

1😘1

3 Jul 2026, 07:46 UTC≈2,790 views6 reactionsread 19 August 2026

【验证留名】:ne 【验证时间】: 【妹子花名】:#香芋 【所在位置】:#坦洲 【课室环境】:整洁 【上课学费】:500p 【颜值相似】:9成 【胸器罩杯】:C 【服务内容】:AB面调情 【服务详情】:进门看到与照片9成,颜值不错,妹子热情健谈,真人可爱。先洗澡,贴身服务洗澡,奈子贴背。 来到床上开始服务,背面调情,臀推波推指滑,正面按按腿,口活舒服,然后戴t。 先正面,下面好紧温暖,抓着大奈子干,表情好烧,声音好听。换到后入,屁屁好大 好软,边揉边动 还会夹,被ko出火。出了后还有按摩放松。洗完澡缓了会,满意离开。 【优点缺点】: 萝莉嫩嫩,口活舒服 热情不冷场。

4👍2

2 Jul 2026, 09:01 UTC≈2,760 views2 reactionsread 19 August 2026
Photo

Photo, posted without a caption

1👍1

1 Jun 2026, 04:55 UTC≈3,000 views8 reactionsread 19 August 2026

老师艺名:香芋坦洲 老师ID:@L1027x88 出击区域:坦洲 人照:9分,我觉得跟真人很像,长相甜美 身材:9分,身体形态比较匀称,不胖也不瘦,摸起来有肉,没有什么赘肉,比较娇小。 个人总结:当天中午没啥事,所以发信息约了老师,炎炎夏日,感觉自己非常的燥热,所以到了老师的小区,到了小区楼下,就让老师准备丝袜,一开门老师对我笑脸相迎,感觉看到了邻家妹妹的感觉,笑的非常开心,其实本来我做好心理准备,因为其他老师美颜跟本人有差距的,结果看到真人,我悬着的心放下来。 接下来开始做服务,按照课表的,冲凉,躺在床上,但是老师的口活很不错,舔蛋蛋,深喉,各种舔,反反复复上上下下套弄,做到一半受不了,老师就坐上来,因为太久没有做了,我要求自己动,发射。但是感觉又不尽兴,所以跟老师商量,加钟一次哈哈,由于中间聊的比较愉快,老师很爽快就答应了,休息了大概30分钟,老师又开始帮我吹,舔,虽然前期没有什么反应,但是老师很耐心,说实话,这个服务应该很

7👍1

28 Apr 2026, 23:07 UTC≈4,030 viewsread 19 August 2026

个人老师 坦州 小区里 现金💰 约起来☺️

Showing the 12 most recent of 19 posts we hold for @L1027X. 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“香芋的花园小屋🏠” (@L1027X), 1,587 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/L1027X.

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.