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Channel

理理的爱心小屋

@aixinxiaowu123

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

198subscribers

+47 since we began measuring on 8 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004421836716
TypeChannel
Username@aixinxiaowu123
Created31 August 2026measured — dated from the channel’s first post
First recorded9 September 2026
Last confirmed live19 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/aixinxiaowu123

Growth

151198174.58 September 2026 — 151 subscribers9 September 2026 — 151 subscribers11 September 2026 — 179 subscribers19 September 2026 — 198 subscribers8 September 202619 September 2026
4 measurements spanning 11 days, net +47. 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 144–205 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 15:21198+19
11 Sept 2026, 02:21179+28
9 Sept 2026, 10:23151no change
8 Sept 2026, 11:47151first reading

Engagement

13 posts held, back to 31 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
597.2%
avg views ÷ 198 subscribers
Avg views / post
1,180
11 posts measured
Reaction rate
0.101%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 11 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 9 September 2026
Posts held13 (31 August 20269 September 2026)
Views total13,006
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 10:23 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
27s
Average length
9s

Measured directly from 3 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

11 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 13 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 31 August 2026 to 9 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

9 Sept 2026, 09:13 UTC20 viewsread 9 September 2026
Forwarded from @QiangSbotPhoto

【时间】:2026-09-09 【老师】:理理 【留名】:小路(休息中) 【人照】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:进门和老师聊了一会便赶紧把水费交了,陪浴服务很顶,待了差不多便让老师开始服务,口活还不错的,很有感觉,无齿感,起立后便戴伞女上,包裹感明显,累了换我开始后入,后入屌感好,还有那有规律的臂浪,不由自主加速抽插起来,最后在传教士姿势下交代了。随后一起洗浴穿好衣服挥手告别。比较健谈,乖巧听话配,不催时,值得推荐一试 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

3 Sept 2026, 03:27 UTC≈1,850 views3 reactionsread 9 September 2026
Forwarded from @QiangSbotPhoto

【时间】:2026-09-02 【老师】:理理 【留名】:愚者 【人照】:10 【态度】:10 【环境】:9 【综合】:9.67 【过程】:22岁嫩妹型少妇,虽然生过孩子了,但是比18岁嫩妹的B还紧,毛多B紧,操起来犹如洪水泛滥,后入体验感非常好,每一次抽拉都能听见哗啦啦的水声,做爱反馈明显,是那种诱人的轻声呻吟;感受的到妹妹也在享受,毫无风尘味,推荐姿势,抱着操和后入,每一次撞击都能被妹妹的翘臀反弹回来,爽到极致,值得二刷,更多姿势等着狼友们去开发,配合度高,耐操,强烈推荐,还会二刷 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

3

1 Sept 2026, 18:15 UTC≈2,060 views3 reactionsread 9 September 2026
Forwarded from @QiangSbotPhoto

【时间】:2026-09-01 【老师】:理理 【留名】:🐓大公鸡🐓(十一代重生) 【人照】:9.3 【态度】:9 【环境】:9 【综合】:9.1 【过程】:新来的嫩妹,约好时间直接出鸡,希望位置很好找,开门后理理甜甜的对我笑,第一感觉像极了邻家小妹妹,偏甜美系,后面相处下来的确如此,没错了!!年纪不大,浓眉大眼,身材高挑匀称,人照基本一致,带点美颜,胸b+左右(减肥先瘦胸hh)软软的那种,课表内容基本一致。嫩妹刚开始做这个,冰箱里塞满了矿泉水、桌上还准备了香烟,看得出没少做功课。坐在沙发上抱着贴贴聊了好多会儿,闻着发香,女友感十足。慢慢的更放开了,有陪浴,一次性干巾,帮洗帮擦干,房间是复式(缺点就是冷风不容易上的去,运动太久后面热的流汗了),扶梯上楼,妹妹比较爱干净,这点我很喜欢,口活比较温柔、看得出很努力在学在做了,还有冰水一重天,我是没想到的,下次得来点火更刺激,爱爱的过程姿势都配合,还会主动问你,屁股大大的,后入下腰的话

3

31 Aug 2026, 14:03 UTC≈1,880 views2 reactionsread 9 September 2026
Forwarded from @SzcgdPhoto

【时间】:2026-08-31 【老师】:理理 【留名】:薄青 【人照】:9 【态度】:10 【环境】:9.5 【综合】:9.5 【过程】:进门看到老师和照片基本差不多,脸圆圆的很可爱,进门先招呼我坐下。 老师刚做这行,但是态度很好。服务的话有陪浴,身材很匀称皮肤很白。上床服务舔咪咪和口活,口活很细致很舒服,时间也挺长的。戴套做爱感觉很紧致肉感很足,做爱很舒服。老师做爱很投入,反馈很足,叫床和姿势都很配合。不催不事不机车,整个过程很满意。 满意回家,推荐大家体验一下,不会踩雷。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

2

Showing the 12 most recent of 13 posts we hold for @aixinxiaowu123. 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

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

“理理的爱心小屋” (@aixinxiaowu123), 198 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/aixinxiaowu123.

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.