【少御报告】https://t.me/GZsnyjhj 【老师艺名】球球 【联系方式】@MonicaFairy 【所在位置】金沙洲 【验证留名】玩球的球 【验证时间】8.8 【修车费用】P 【颜值身材】9 【服务内容】课表全都有,爽 【服务态度】像情人 【优点缺点】老师漂亮温柔,聊天情商高 【推荐程度】9 【体验细节】老师确实是我喜欢的类型,皮肤特别好,白白嫩嫩的,摸上去细腻光滑,像剥了壳的水煮蛋,完全没有瑕疵。身高刚好卡在我心里的完美位置,站在一起感觉特别合适。大体一扫,身材凹凸有致,胸型自然上翘,腰细腿长,那一双大白腿更是让人欲罢不能,白得发光,线条流畅,没有任何赘肉。进了工作室,环境确实不错,干净整洁,灯光柔和,装修有品味,毕竟所处地段本身就很好。老师颜值在线,见面第一眼就觉得心动,进门先热情地拥抱了一下,身体软软的,带着淡淡的香水味,很舒服。妹妹也很会照顾人,先递上一瓶水,又帮我换上干净的拖鞋,全程笑容温柔,让人立刻放松…

Channel
🦋Lisa·球球的小窝🏠
@Lisathelittlefairyisworkinghard
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,907subscribers
+110 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003973039804 |
|---|---|
| Type | Channel |
| Username | @Lisathelittlefairyisworkinghard |
| Created | Between 1 April 2026 and 3 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/Lisathelittlefairyisworkinghard |
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 14 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 19 Sept 2026, 06:56 | 3,907 | +364 |
| 14 Sept 2026, 18:20 | 3,543 | -55 |
| 11 Sept 2026, 14:18 | 3,598 | -59 |
| 6 Sept 2026, 23:59 | 3,657 | +110 |
| 1 Sept 2026, 23:39 | 3,547 | -102 |
| 30 Aug 2026, 03:14 | 3,649 | -258 |
| 27 Aug 2026, 13:04 | 3,907 | -88 |
| 24 Aug 2026, 11:58 | 3,995 | +412 |
| 21 Aug 2026, 00:24 | 3,583 | -38 |
| 17 Aug 2026, 18:27 | 3,621 | -321 |
| 15 Aug 2026, 00:34 | 3,942 | -566 |
| 12 Aug 2026, 00:52 | 4,508 | +627 |
| 9 Aug 2026, 10:32 | 3,881 | +84 |
| 8 Aug 2026, 18:45 | 3,797 | first reading |
Engagement
17 posts held, back to 3 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
32 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 43.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 43.8% | |
| 👍 | 6 | 18.8% | |
| 🍓 | 4 | 12.5% | |
| 🍾 | 4 | 12.5% | |
| 💯 | 2 | 6.25% | |
| 🍌 | 1 | 3.13% | |
| 💋 | 1 | 3.13% |
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 10 of the 17 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 3 August 2026 to 8 August 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
🈵
🎉 广州茶馆-球球半价券 🎁 奖品清单 • p半价券(必须写报告) × 1 • p优惠100 × 2 • PP优惠200 × 3 • 夜课优惠300 × 4 • 天课优惠400 × 5 🛡️ 参与条件 • 加入 广州茶馆 • 加入 广州茶馆-在榜老师(新榜) • 加入 🦋Lisa·球球的小窝🏠 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:5圣晶石 • 祝福上限:400次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-08-12 19:13:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金和巨量圣晶石!!! 兑奖 @LittleFairyLisa ✨ 愿命运之剑指引你们前…
遇到不开心的事,一定要让自己开心起来😊
🍓2❤1🍾1
【广州茶馆】:https://t.me/gzcg9 【时间】:2026-08-08 【老师】:球球 【账号】:@LittleFairyLisa 【留名】:好色之徒(转运版) 【颜值】:人照9分 【身材】:老师相对来说比较肉,但不会胖 【罩杯】:B 【服务】:xcz 【态度】:老师很热情,健谈 【位置】:金沙洲 【评分】:9 【过程】:关注于球球老师挺久了,找了个时间,果断约课出击。老师的课室是在小区里,整体环境还是很不错的,小区门禁也不会问东问西,直接进去就行。遥控进门后,看到老师就知道这没有来错,老师人照9分,胸B一只手刚刚好,老师比较肉感,但不算胖,屁股相当不错。交水费正式开课,首先当然是陪洗啦,老师帮忙洗白白,洗好后我便在床上等着老师,老师洗完后便开始了课程,首先是舔胸,再从胸舔到小兄弟那儿,舌头柔软,没有齿感很舒服,老师的口活真是一绝。口完后做好安全措施提枪上门,老师的小妹妹很紧,一进去就能体验到很强的包裹感和温度。传教…
🔄课表更新了夫君哥哥🧍♂️在不要说找不到课表了哈💗
❤1👍1💯1
🦋Lisa·球球的小窝🏠 pinned a photo
🎰金沙洲可上门可车震大胸大长腿嫩妹球球老师半价抽奖福利 @LittleFairyLisa 🎁奖品如下: 1P半价*1 1P优惠100*2 2P优惠200*3 包夜优惠300*4 包天优惠400*5 🎟参加条件: 加入-🦋Lisa·球球的小窝🏠 加入-广州佛山永乐出击报告 加入-广州佛山永乐公开榜 加入-广州佛山永乐红人馆 加入-广州佛山黑车防爆 加入-永乐优惠券免转大厅 加入-广佛永乐抽奖公告 加入-广州佛山永乐严选 🌕参加消耗:0永乐通宝 ➕加权消耗:10/次 上限5次|每次加15 此活动可消耗永乐通宝增加中奖率,点击参加按钮操作! 📝抽奖说明: 1:兑奖请联系 @LittleFairyLisa 2:优惠券自开奖时间起7天内有效 3:炸号者中奖作废 4:发奖人在发奖前请仔细发奖指引,以防奖品被冒领造成不必要的损失👉 https://t.me/yonglezhidao/22 5:半价券必须写报告,不写报告永久拉黑 ⏰开…
【少御报告】https://t.me/FSsvyjhj 【老师艺名】 #球球 【联系方式】 @LittleFairyLisa 【所在位置】 #金沙洲 【验证留名】 西关村 【验证时间】 8.6 【修车费用】 p 【颜值身材】 人照一致,颜值高 【服务内容】#课表 【服务态度】1服务周到,热情 【优点缺点】热情 【推荐程度】10分推荐 【体验细节】 停车方便,地方好找,环境也非常的不错,一见到老师,人照片一致,洗澡后开始服务,非常的舒服,老师身材非常好,真的非常的喜欢,下次还会再去的 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交: @QST_mrlbot
🍓1👍1💯1
和好久不见的姐妹一起约个饭👭
❤2🍓1👍1
🈶️🈳️🉑️🈷️🈶️🏠🉑️⬆️🚪🉑️✌️
它是想舔我👅吗?
❤3🍾1👍1
Showing the 12 most recent of 17 posts we hold for @Lisathelittlefairyisworkinghard. 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 9 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.
@lotterynav · 174,1784 posts佛山懂车帝榜单
@FOSHANDCDBANG · 24,2962 posts广州茶馆-在榜老师(新榜)
@gzchaguan8 · 137,0372 posts广州佛山联邦抽奖榜
@ADVHJI · 16,2551 post广州佛山联邦老师榜
@Gzffol · 77,5961 post广州嫩妹榜【备胎】
@gznmbtb · 13,7091 post积木 供需|抽奖导航 @jimu
@lotteryln · 63,2881 post深圳茶馆-在榜老师
@szcg6 · 41,8111 post深圳【汤臣一品】精选榜
@tcypa5 · 65,2791 post
Names
Channels on the register whose handles appear in this channel's posts.
@gzcg9 · 104,9262 posts阿瓦隆通知站
@AvalonNote · 1,6871 post广州佛山永乐出击报告
@baogaowenxue · 21,8411 post佛山少女御姐合集
@FSsvyjhj · 2,3921 post广州佛山永乐公开榜
@guangfoyongle · 48,5431 post广州佛山永乐红人馆
@guangfoyongle2020 · 62,1541 post广州茶馆-在榜老师(新榜)
@gzchaguan8 · 137,0371 post广州少女御姐合集
@GZsnyjhj · 18,1041 post广州佛山黑车防爆
@heichefangbao · 12,7971 post永乐优惠券免转大厅
@mianzhuandating · 9,4951 post全国包养萝莉/处女/学妹(广告频道)
@MonicaFairy · 31 post广佛永乐抽奖公告
@yonglechoujiang · 13,5261 post广州佛山永乐严选
@yonglelunbo · 19,1271 post永乐TG防骗指导中心
@yonglezhidao · 7281 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“🦋Lisa·球球的小窝🏠” (@Lisathelittlefairyisworkinghard), 3,907 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Lisathelittlefairyisworkinghard.
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.