❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10月2号 【验证工兵】:Puppy 【老师艺名】:安娜 【老师账号】:@QM098765 【城市地区】:厦门 【水费次数】:1000/2h 【人照相似】:95(满分100) 【目测年龄】:/ 【颜值妆造】:95(满分100) 【身材曲线】:95(满分100) 【乳房状态】:C(大小/真假) 【臀部形态】:大翘软(小巧/大翘) 【皮肤状态】:白(肤色/质感) 【bb的状态】:紧(户型/紧湿度) 【服务评分】:95(满分100) 【情绪价值】:100(满分100) 【日☀️后感/详细描述】:半夜出击,刚好安娜老师有空,有门禁的小区,老师遥控上楼。初见惊艳,真人比照片好看一些,也很健谈,在沙发上聊了一会后老师引导共浴,口技相当到位,接下来更换场地和老师展开了实战教学。舔胸调情,口硬女上,能明显感受到老师很紧被夹…

Channel
安娜 朋友圈♨️♨️♨️
@Kkk989898
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
398subscribers
+156 since we began measuring on 18 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003777711606 |
|---|---|
| Type | Channel |
| Username | @Kkk989898 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 October 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/Kkk989898 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 2 November 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 05:09 | 398 | +71 |
| 25 Oct 2026, 05:11 | 327 | +56 |
| 18 Oct 2026, 21:31 | 271 | +29 |
| 18 Oct 2026, 08:22 | 242 | first reading |
Engagement
16 posts held, back to 1 October 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
- 99.3%
- avg views ÷ 398 subscribers
- Avg views / post
- 395
- 8 posts measured
- Reaction rate
- 0.346%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 16 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 16 (1 October 2026 – 18 October 2026) |
| Views total | 3,162 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 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
- Video runtime
- 3s
- Average length
- 3s
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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 4 of the 16 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 1 October 2026 to 18 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
Telegram’s own ‘edited’ marker: 2 of 8 posts held from the last 30 days (25.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📍#湖里区 #安娜 02年 #茶费:400p (包时700) 工兵已验❗️ #兼职 #舌吻 #69 #BBW 【联系方式】@QM098765 【双向联系】@jiqir1122bot 【个人频道】 t.me/Kkk989898 【老师报告】 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 报告17 报告18 报告19 报告20 报告21 报告22 已通过视频认证✔️ *️⃣🆕🚻🚹🚼🔡0️⃣▶️⏪ #厦门修车 #外围 #上门 #全国修车 #楼凤 #福建外围 #包养
❤1
07 小帅😻😻 开课了,可约✌️ @QM098765
❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10.16 【验证工兵】:(用户名) 【老师艺名】:安娜 【老师账号】:@QM098765(用户名) 【城市地区】:#湖里 万达 【水费次数】:400一颗 【人照相似】:90(满分100) 【目测年龄】:24 【颜值妆造】:96(满分100) 【身材曲线】:93(满分100) 【乳房状态】:真货C(大小/真假) 【臀部形态】:大(小巧/大翘) 【皮肤状态】:白(肤色/质感) 【bb的状态】:紧 上等(户型/紧湿度) 【服务评分】:95(满分100) 【情绪价值】:100(满分100) 【日☀️后感 /详细描述】:今天临时起意,直接约了安娜。到地方后开门就是一股淡淡的沐浴露香,一身黑色吊带裙,肩带滑落半边,白嫩的肩膀直接暴露在眼前。皮肤比照片还白,那一双大白兔,老弟马上清醒,细腻得像剥了壳的鸡蛋。 先在…
喜欢分俩种:一种是喜欢上人家 一种是喜欢上人家 10点开课, 约课: @QM098765
🈹🈵🈵 。感谢老公们
宝贝们,“起立”了。来找我,我帮你 @QM098765
❤2
新战袍到,明天开课了 🉑预约😘😘😘
❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:9.30 【验证工兵】:大帅哥 【老师艺名】:安娜 【老师账号】:@jiqir1122bot 【城市地区】:厦门湖里 【水费次数】:400p 【人照相似】:95 【目测年龄】:21 【颜值妆造】:91 【身材曲线】:85 【乳房状态】:天然大 【臀部形态】:小巧 【皮肤状态】:白皙 【bb的状态】:很紧 【服务评分】:90 【情绪价值】:80 【日☀️后感 /详细描述】:刚到厦门就有点按耐不住了,赶紧去出击去,在公开榜看到安娜老师,果断出击,还是老样子遥控上楼,见到安娜老师的第一眼属于是小巧玲珑的长相跟身材,后也是直接开始服务还是给我亲亲上面,然后直接给我吹,口活这方面没得挺好的,没有齿感。后面直接进入正题,我先是在上上面,安娜老师给我的感觉就是女友感很强很强,妆容跟五官跟精致,感觉就像是自己女朋友一…
感谢认🉑😘😘
开课了 宝子们 安全出击 新号 @QM098765
❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10月2号 【验证工兵】:Puppy 【老师艺名】:安娜 【老师账号】:@QM098765 【城市地区】:厦门 【水费次数】:1000/2h 【人照相似】:95(满分100) 【目测年龄】:/ 【颜值妆造】:95(满分100) 【身材曲线】:95(满分100) 【乳房状态】:C(大小/真假) 【臀部形态】:大翘软(小巧/大翘) 【皮肤状态】:白(肤色/质感) 【bb的状态】:紧(户型/紧湿度) 【服务评分】:95(满分100) 【情绪价值】:100(满分100) 【日☀️后感/详细描述】:半夜出击,刚好安娜老师有空,有门禁的小区,老师遥控上楼。初见惊艳,真人比照片好看一些,也很健谈,在沙发上聊了一会后老师引导共浴,口技相当到位,接下来更换场地和老师展开了实战教学。舔胸调情,口硬女上,能明显感受到老师很紧被夹…
Showing the 12 most recent of 16 posts we hold for @Kkk989898. 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 3 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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“安娜 朋友圈♨️♨️♨️” (@Kkk989898), 398 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/Kkk989898.
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.