🎉 番禺 小汐的半价优惠 📝 抽奖说明:优惠券免定,中奖主动联系老师 @xiaoxi_6668 , 五天内兑奖有效,必须写报告。 ✅ 参与条件: 1. 加入 小汐的朋友圈 2. 加入 广州凤吟修车茶馆(广佛) 3. 加入 广州凤吟修车茶馆备用群 4. 加入 广州凤吟桩机报告 5. 加入 广州凤吟修车娱乐资源私密1 6. 加入 广州凤吟修车娱乐资源 7. 加入 广州·红人录 8. 加入 免费抽奖导航 🎁 奖品内容: • p半价优惠券 × 1 • p200元优惠券 × 2 ⏰ 开奖时间:2026-10-09 01:00 👇 点击下方按钮参与抽奖

Channel
小汐的朋友圈
@xiaoxi_6688
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
602subscribers
+0 since we began measuring on 4 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003588443485 |
|---|---|
| Type | Channel |
| Username | @xiaoxi_6688 |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 October 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/xiaoxi_6688 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 18:22 | 602 | no change |
| 4 Oct 2026, 17:47 | 602 | first reading |
Engagement
20 posts held, back to 11 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
- 108.4%
- avg views ÷ 602 subscribers
- Avg views / post
- 653
- 18 posts measured
- Reaction rate
- 0.218%
- 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 6 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 October 2026 |
|---|---|
| Posts held | 20 (11 September 2026 – 4 October 2026) |
| Views total | 11,749 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 18:22 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
- 19
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 4 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
10 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 80.0% | |
| 👍 | 1 | 10.0% | |
| 🔥 | 1 | 10.0% |
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 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 10 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 11 September 2026 to 4 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
小汐的朋友圈 pinned a photo
🎰 番禺小汐半价优惠券抽奖 📮 抽奖条件: 🎫 加入-广州资源榜פּוּמְבֵּי『备胎』 🎫 加入-广州仙女宫中转站 🎫 加入-广州仙女宫 🎫 加入-小汐的朋友圈 🎫 加入-广州资源榜 🎫 加入-广深出师报告 🎫 加入-广州戒色宫『备胎』 🎟️ 要求活动期间群内发言数 20 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 1课半价优惠需在仙女宫写报告 × 1 200元优惠券 × 2 💡 活动说明: 1:兑奖联系 @xiaoxi_6668 2:水群率越高中奖率越高喔 3:更多红包关注 @QMqun 4:半价出击需在仙女宫写报告否则拉黑抽奖 5:❗️群内严禁胡言乱语禁用脚本刷信息 6:❗️半价中奖即临时拉黑,提交报告后再解除 7:参加活动需邀请朋友加入仙女宫群 📅 开奖日期:(UTC+8) 2026年10月08日 19时15分46秒
开咯。宝贝们。
😀#番禺 #小汐 【广州学院】: @gzwww @gzbbb 【上课日期】:9月25日 【上课费用】:#包夜/4000 【报告来源】:#顺德暴龙哥 @Bl2244 【体验细节】: 中秋佳夜,约了老师共赏明月,刚好老师有空,约上了之后直接出发了,老师的地方非常安全,也好停车,遥控上楼之后,已经给我留好了门,开门映入眼帘的是纤细的大长腿,再往上是老师玫瑰红的吊带裙,再往上是老师漂亮的脸和短发,和图片一样 ,老师非常热情,一进来已经准备好东西,还有水,迫不及待的洗了澡之后,开始进入正题,老师的床上功夫非常厉害,属于御姐和少妇之中,平时嫩妹去的多,一时间有点招架不住只能任由老师摆弄,老师🐍😘和口技都顶棒的,接下来带上套之后进入正题,先是老师女上,老师的女上很卖力 也很舒服,然后轮到我来,后入,前入,各种姿势老师都很配合,特别是后入的时候,老师的呻吟声,我的撞击声,声声入耳,最后传教士体位顺利出水,歇息片刻之后,老师还准备了水果和小零食,…
❤1
【时间】:2026-09-23 【老师】:小汐 【留名】:打酱油咯 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:9 【服务】:9 【态度】:9 【环境】:10 【综合】:8.83 【过程】:约好时间到达,门禁输号码,环境非常好,老师遥控留门,课室环境非常的好,离地铁站也很近。进门只见小汐老师穿着红色吊带小短睡裙,174身高半点不假,一双又长又挺又直又白的腿一览无遗,脸上带着淡淡笑意,在灯光下略带半分妩媚,闲聊几句后帮忙拿拖鞋啥的,然后洗澡。上到床上开始做服务,先是舌吻起手,然后一步步向下方进攻,最后到达小弟和蛋蛋,一段时间后换我给老师服务,小汐胸部软软的,一手可握,手感非常好,最后实在忍耐不住,带上套套开始进攻。传教士起手,因为这样才能扛着腿,慢慢欣赏,然后换女上,因为我们两个都很瘦,所以有点骨头碰骨头,实在受不了,所以女上一会后又换成后入,开始我想站着后入的,但一想到身高差,再加上我忘了带板凳,怕够不到B,所以还…
❤3
😀#番禺 #小汐 【广州学院】: @gzwww @gzbbb 【上课日期】:9月23日 【上课费用】:#P半价/400 【报告来源】:#睡个好觉 @fejgvx 【体验细节】: 老师的课室是我去过最安全的,环境最好的折腾了几分钟终于到科室门口了,打开门就看到老师穿一身紫色的包臀裙很有感觉老师还热心的给了水在沙发上聊聊天就去洗澡了洗完澡就看到老师已经穿好制服丝袜了到床上就开始舌吻老师很会舌很主动舌了几分钟老师开始口,口的时候差点给我秒了太会了,我提出69老师也是很爽快老师下面没有异味水很多,受不了了就直接开始进入老师的小穴了还能别做别舌吻,做了几分钟顺利出水了,被老师123了下次再战 【总结概括】: 科室非常安全可以放心cj环境挺好高档小区,174的大长腿不是吹的,活好 【联系老师】: @xiaoxi_6668👆 投稿需要提交记录 隐私可打马赛克 萝卜白菜各有所爱 建议多观察对比
❤1
#番禺小汐 9月20日荣登广州学院名师榜❤️ 😀聊天群: @gzbbb 😀名师榜: @gzwww 👩🎓 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【广州学院】联系的老师货不对板,被骗定金,群主: @gz222 担保赔付!进群参加现金红包🧧! 立即加入 👆查看评价
❤1👍1🔥1
打桩报告:https://t.me/GZFYJT 验证留名:超级melody 验证时间:2026.09.13 老师艺名:小汐 老师联系: @xiaoxi_6668 修车水费:800p 服务内容:鸳鸯浴、缠绵热吻、沉浸式深喉与全套互动 颜值身材:174cm大长腿御姐,高挑清瘦,肌肤雪白无瑕 体验细节: 一直在群里默默关注,直到看见小汐的最新动态才按捺不住,果断预约前往。一踏入其所在的课室,瞬间被其高档精致的装修质感所惊艳,完全脱离了市面上那些廉价日租公寓的俗套,单凭这份私密性与安全感,这趟开销就已物超所值。 门启刹那,她一袭烈焰般的红色低胸长裙映入眼帘,174公分的优越身段在光影下极具视觉冲击。完成常规流程后移步浴室,各类洗护用品一应俱全。随后的共浴环节中,她不仅手法温润细腻,更通过自然的闲聊将外界的喧嚣与疲惫瞬间涤荡干净。 转战床榻,一场极具侵略性的热吻直接将氛围拉满。彼此舌尖的辗转纠缠带着某种令人迷醉的节奏,随后的口技环节更是…
有空了。宝们😘
【时间】:2026-09-18 【老师】:小汐 【留名】:乾 巧 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.17 【过程】:看到在番禺的这个大蟒蛇姐姐,没忍住,最后一手抽了一下,于是就此结缘了,看到老师回来第一时间就约了课,位置很好找,(看到不是中介聚集地就安心了)就在地铁口,全程没有保安岗,直接遥控上楼。科室环境非常好,干净卫生,装修好。看到老师本人和照片是有八成像的,是一个热情的小姐姐,第一时间就给我递上水,态度非常的好。浅浅的笑意,让人如沐春风。浴室有漱口水,一次性毛巾,配置齐全。不过浴室比较小,只能一个一个的来,洗完来到床上,她就吻上来了,也会提前问你喜不喜欢吻,我当然是为了这个而来的,吻了很久一会,然后一路往下,开始招呼我的小兄弟,口活非常的棒,蛋蛋棒棒都有照顾到,就好像来到了九五的会所,非常舒适的享受,偶尔还有深喉,那种感觉如果没体验过…
小汐的朋友圈 pinned a photo
Showing the 12 most recent of 20 posts we hold for @xiaoxi_6688. 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.
@GZYL8866 · 22,8165 posts广州修车协会【探花】
@GZ08866 · 37,5293 posts广州学院
@gzbbb · 9,4713 posts广州学院名师榜
@gzxy3 · 17,1983 posts广州凤吟修车茶馆
@GZFYJT · 25,9302 posts广州学院报告
@gzxybg · 1,7272 posts阿瓦隆通知站
@AvalonNote · 1,7331 post广深出师报告
@fbqun · 61,9971 post广州资源榜
@GCCITY · 150,3531 post广州资源榜פּוּמְבֵּי『备胎』
@gzact · 30,9751 post(广州探花)娱乐反馈报告
@GZBG8866 · 22,1971 post广州学院必吃榜
@gzxybcb · 1,8701 post广州仙女宫
@qmqun · 92,4691 post命运之轮
@SaberVerifier · 2,4641 post
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“小汐的朋友圈” (@xiaoxi_6688), 602 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/xiaoxi_6688.
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.