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Channel

台湾的心怡大F

@taiwanxinyi

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

4,567subscribers

+0 since we began measuring on 5 October 2026

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

Register entry

Telegram ID-1002404070282
TypeChannel
Username@taiwanxinyi
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 October 2026
Last confirmed live5 October 2026
Measurements held2
On Telegramt.me/taiwanxinyi

Growth

4,5675 Oct 2026, 07:47 — 4,567 subscribers5 Oct 2026, 08:22 — 4,567 subscribers5 Oct 2026, 07:475 Oct 2026, 08:22
2 measurements taken within a single day. 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 4,562–4,572 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 08:224,567no change
5 Oct 2026, 07:474,567first reading

Engagement

20 posts held, back to 18 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.2%
avg views ÷ 4,567 subscribers
Avg views / post
1,100
20 posts measured
Reaction rate
0.053%
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 7 of 20 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 5 October 2026
Posts held20 (18 September 2026 – 5 October 2026)
Views total22,090
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Oct 2026, 08:22 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

Photos
190
Videos
49
Links
96

Lifetime counters from Telegram’s own channel header, read 5 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤480.0%
🔥120.0%

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 7 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 5 reactions 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 18 September 2026 to 5 October 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

5 Oct 2026, 08:19 UTC10 viewsread 5 October 2026

再也找不到事后萧如此舒服之人 被你弄了一次之后上瘾了

5 Oct 2026, 03:55 UTC340 viewsread 5 October 2026
Photo

🦀 福田台湾心怡|入驻小螃蟹 📍 附近地图|今日可约|真实评价 🛡 小螃蟹 已上线定金保障 老王:@lwhko|群聊:@xiuchela66

25 Sept 2026, 02:58 UTC≈1,730 views0 reactionsread 5 October 2026
Photo

一场秋雨一场寒,一份惦念暖心间,天气渐凉,早晚记得添衣保暖🧥祝福各位哥哥中秋节平安顺遂

24 Sept 2026, 12:50 UTC≈1,650 viewsread 5 October 2026

茶楼报告( https://t.me/szclzBG ) 【位置艺名】:福田心怡 【联系方式】:@xinyi202412 【喝茶留名】:little 【喝茶时间】:9.24 【喝茶价格】:1600p 【芳龄身高】:175 【罩杯手感】:F 【服务内容】:课表服务 【优点缺点】:大眼睛会放电小嘴会聊天技术好配合好 【体验细节】:好久没遇到这种妹子,看频道感觉眼前一亮,也是直接预约了今天的课程,指引上楼,交了课费和她闲聊了一下,接着和她一起去洗澡,认真帮我清洗身体的各个部位,接着擦干身体,我们一起床上开始服务,先是把她搂过来🐍了一下,接着她就开始展示她的口功,先是舔舐我的胸部,从上到下舔舐,她那个软糯的舌头👅,搞得我兴奋不已,一下子小弟弟硬邦邦,然后我就叫她帮我口一下,我去了,她的口活绝了,太舒服,没有叫她停止,就差点被她口爆了.我也是爽的出水了,好久没有遇到这种特色的老师了 后期有时间会二返 【温馨提醒】:报告仅供参考,请理性选择…

23 Sept 2026, 11:59 UTC≈1,340 viewsread 5 October 2026

茶楼报告( https://t.me/szclzBG ) 【位置艺名】:福田心怡 【联系方式】:@xinyi202412 【喝茶留名】:启航 【喝茶时间】:9.23 【喝茶价格】:3000pp 【芳龄身高】:175 【罩杯手感】:F 【服务内容】:课表都有 【优点缺点】:温柔热情会照顾人 【体验细节】:进门后,老师热情大方,情绪价值给很到位。简单洗漱后,我躺在床上,老师爬上来,跪在我身前。她低头,小嘴慢慢凑近,温热的呼吸先喷在我皮肤上,然后轻轻含住,动作慢得像在品尝什么珍馐佳肴。我感觉她柔软的唇瓣一点点裹紧,舌尖灵巧地打着圈,滑腻的触感让我头皮发麻。她时而深含,时而吐出,节奏轻缓却挑逗得我浑身发烫。她的小手也没闲着,在我的敏感部位游走,让我完全沉浸在快感里。接下来,开始了第一课,传教士体位。进入时,能感受到她紧致的包裹,湿热得像要将我融化。她的双腿环住我的腰,脚尖绷紧,微微颤抖。她哼哼着,声音细腻,像小猫叫,刺激得我动作更猛。随…

23 Sept 2026, 03:14 UTC≈1,140 views1 reactionsread 5 October 2026
Photo

还剩一周开课咯 马上又要休息啦 约课哥哥快来哦 🤪🤪🤪

❤1

22 Sept 2026, 11:55 UTC≈1,210 viewsread 5 October 2026

茶楼报告( https://t.me/szclzBG ) 【位置艺名】:福田心怡 【联系方式】:@xinyi202412 【喝茶留名】: 【喝茶时间】:9.22 【喝茶价格】:1600p 【芳龄身高】:175 【罩杯手感】:F 【服务内容】:课表服务 【优点缺点】:🐻大又软皮肤光滑白嫩 【体验细节】:老师服务很热情,爱笑,有耐心,家里打扫的很干净,房间里有淡淡的香味,老师很美很骚感觉像在拍Av,很喜欢可以很深入,侧入的时候,那身材的曲线像妖精一样,翘臀,这个姿势你们真要体验,整个极品身材前凸后翘,老师也非常配合,收复台湾就在此刻 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。 深圳茶楼报告管理员 @Sanlimi_bot

22 Sept 2026, 08:26 UTC≈1,090 views1 reactionsread 5 October 2026

🔥深圳茶楼不定期举行🧧活动,26年千元现金邀请活动已结束,新年红包活动已结束,四五双节千元活动已结束,端午父亲现金🧧活动已结束,后续活动择日进行~~ https://t.me/vip40f 深圳榜 https://t.me/zhenzhenchalou

🔥1

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

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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“台湾的心怡大F” (@taiwanxinyi), 4,567 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/taiwanxinyi.

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.