头课,等你来👉

Channel
🎈🎈福田超大F++杯酥酥🎈
@daxigua99
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
1,409subscribers
+146 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002313671128 |
|---|---|
| Type | Channel |
| Username | @daxigua99 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/daxigua99 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 68% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 01:02 | 1,409 | +7 |
| 12 Sept 2026, 09:38 | 1,402 | +18 |
| 8 Sept 2026, 15:00 | 1,384 | +52 |
| 2 Sept 2026, 23:36 | 1,332 | +33 |
| 30 Aug 2026, 10:55 | 1,299 | +30 |
| 27 Aug 2026, 17:24 | 1,269 | +6 |
| 27 Aug 2026, 09:45 | 1,263 | no change |
| 27 Aug 2026, 09:30 | 1,263 | first reading |
Engagement
20 posts held, back to 5 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 25.0%
- avg views ÷ 1,409 subscribers
- Avg views / post
- 352
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- 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.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 20 (5 August 2026 – 27 August 2026) |
| Views total | 2,466 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 09:45 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.
Recent posts
私聊:@daxiguasz 双向机器人:@Daxigua77bot
深圳榨汁大队报告区:https://t.me/szzzbgq #福田 #艺名: 福田波霸F+杯酥酥 【验证留名】:香港小初哥 【验证时间】:8/26 【修车水费】:1000p 【服务内容】:課程內容 【颜值身材】:年輕美艷女人擁有F+丯乳及肥臀 【体验细节】:近排放假開始嘗試北上深圳吃喝玩樂, 發覺感覺也挺好, 所以順便問問經常北上的香港好朋友有無平台可以在深圳搵女玩, 他就直接给我這條女的飞机号. 看過她频道後加好朋友的推介, 今晚吃完晚飯鸡巴癢思淫慾, 所以就约她, 也是人生第一次喺內地搵女玩, 希望不會失望. 一開門, 見到一個皮膚白白, 眼睛大大樣子娟好的年輕美艷婦加上她的黑吊帶背心, 一對巨奶想蹦蹦跳出嚟, 作為二十多歲比較血气方剛的我已經有点興奮, 心諗今次應該有一種玩人家巨乳美人妻的感覺, 所以就諗都唔諗進去了. 先坐在梳化, 她已經用淫邪眼神望住我, 然後隔著褲摸我小弟. 见她那麽主動, 我也不甘示弱直接伸…
紧身衣喜欢吗?😆
私聊:@daxiguasz 双向机器人:@Daxigua77bot
花名:酥酥(F胸) 坐标:#福田 课费:1000p 1900pp 私聊:@daxiguasz 双向机器人:@Daxigua77bot 评价:0条 (含报告) 在榜:7个月 ━━━━━━━━━━━━━━ 标签:#高颜 #肤白 #丰满 #美臀 #外出 #舞蹈 #共浴 #F大咪 ━━━━━━━━━━━━━━ 流程:沟通→ 预约 → 核验 → 评价 ✅预约是争议处理凭证 ━━━━━━━━━━━━━━ 【📅 我要预约】 【💬 查看主页/评价】 【🚨 我要投诉】 【👥 群 @chaopao】
今天可以约我了喔👨❤️💋👨👨❤️💋👨
不好意思,今天没赶到,明天下午两点开头课
男闺蜜们,我23号开课,现在还在休息。
㊗️老板:💰🥰💑👨❤️💋👨🇸🇷😵💫👩❤️👨
開....寶子們…
😆,可以过来午休了,头课
Showing the 12 most recent of 20 posts we hold for @daxigua99. 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 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“🎈🎈福田超大F++杯酥酥🎈” (@daxigua99), 1,409 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/daxigua99.
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.