❤️店名:水瓶座 #家庭水疗 地址:#重庆 #江北 #大石坝 #南坪亚太商谷 水疗服务/该有的都有/多年老店/安全靠谱 /先服务后付费/ 不要问年龄,问就是18岁 每天在线几十名老师/看不起随便换 每周抽白嫖频道: 频道点击浏览👀 ❤️联系电报:@spzpkf 双向限制联系:@spzspa_bot ☎️电话:15555004264 🔴标签 #可放心出击 #已验证

Channel
重庆必刷榜
@fll88997
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
36,485subscribers
+5,467 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002147490762 |
|---|---|
| Type | Channel |
| Username | @fll88997 |
| Description | 【修车老总】 @jiaoyou888bot 【修车频道】 https://t.me/fll88997 【修车老群】https://t.me/fll88996 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888 |
| Created | Between 1 April 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/fll88997 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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 |
|---|---|---|
| 28 Sept 2026, 07:00 | 36,485 | -2,545 |
| 17 Sept 2026, 16:21 | 39,030 | -83 |
| 15 Sept 2026, 14:58 | 39,113 | -161 |
| 13 Sept 2026, 22:37 | 39,274 | -587 |
| 12 Sept 2026, 04:16 | 39,861 | -426 |
| 9 Sept 2026, 18:01 | 40,287 | -149 |
| 6 Sept 2026, 09:19 | 40,436 | -105 |
| 4 Sept 2026, 02:21 | 40,541 | -138 |
| 2 Sept 2026, 19:39 | 40,679 | -12 |
| 1 Sept 2026, 14:48 | 40,691 | -60 |
| 31 Aug 2026, 11:17 | 40,751 | -9 |
| 30 Aug 2026, 14:45 | 40,760 | -68 |
| 29 Aug 2026, 11:48 | 40,828 | -9 |
| 28 Aug 2026, 11:36 | 40,837 | +68 |
| 27 Aug 2026, 09:35 | 40,769 | +66 |
| 26 Aug 2026, 11:25 | 40,703 | -61 |
| 25 Aug 2026, 11:42 | 40,764 | +7 |
| 24 Aug 2026, 14:22 | 40,757 | -108 |
| 22 Aug 2026, 20:58 | 40,865 | -293 |
| 21 Aug 2026, 07:43 | 41,158 | first reading |
Engagement
25 posts held, back to 29 July 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 83 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.22%
- avg views ÷ 36,485 subscribers
- Avg views / post
- 3,370
- 11 posts measured
- Reaction rate
- 0.028%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 25 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 3 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 25 (29 July 2026 – 29 September 2026) |
| Views total | 37,018 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 13:36 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
- 410
- Videos
- 90
- Links
- 37
Lifetime counters from Telegram’s own channel header, read 29 September 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.
- Video runtime
- 3m 11s
- Average length
- 15s
Measured directly from 13 videos 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
12 reactions across 11 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 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 11 of the 25 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 29 July 2026 to 29 September 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
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【妹子花名】:重庆如意楼 【所在位置】:重庆 全主城区 【凶器罩杯】:各种凶器 【身高体重】:各种身高 【妹子年纪】:16至25 【上班时间】:24小时 【服务内容】:🉑69🉑🐍吻🉑口暴颜射,🉑毒龙,🉑双飞,🉑群p,🉑🈚️🐱,🉑sm,更多服务期待你的到来解锁 约课老师: #点击预约下单 直接联系:QQ 3600610070 双向奔赴: @ruyilo_Bot 高端外围: 频道点击浏览👀 交流狼群: 群组点击浏览👀
❤1
位置:#黄泥磅 花名:#娇娇 私聊:@jiaojiao520521 频道: 点击浏览频道👀 双向:@jiaojiao520520bot 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 温柔与明媚同时汇聚在你的身上,静时温婉如水,动时明媚似火,两种特质交融,塑造出你独一份的美。 #老师狼友请看下方评论区⬇️
❤1
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««重庆💎李快乐💎»» 高端外围,楼凤,商k游戏场,会所现场海选,(大⭕️,重庆主城区均可外卖) 💎专注重庆各区修车👉洋马,空姐,少妇,萝莉,学生,御姐等高素质高颜值🉑上门 🈶教室 💎服务项目 :双飞,莞式36式 ,🛁皇帝共浴,💆菲式按摩,🐉龙钻,👙制服诱惑,👯♀️ 双人系列,⛓️SM,🍆情趣道具,㊙️情景互动 等三十多种项目,想怎么玩就怎么玩。 💎奢华的环境、全套服务、至尊享受、帝王体验 💎【所在位置】:重庆全城,渝北,江北,南岸,九龙坡,巴南 💎【凶器罩杯】:B-E 💎【娱乐费用】:全场8米~24米,特服➕米,洋酒优惠 💎【服务内容】:详看菜单 💎【上班时间】: 中午12点-凌晨3点 💎【联系tg号 】@bbkjhu 🥇双向机器人 @cplikuailebot 💎【备用联系方式】:。 QQ3676361944 🥰选妃频道 频道点击浏览👀
重庆#重庆颜值天花板#🐻推# 丝足 #家庭SPA 📚课程⭐️花式#⛽️👚🌹式全果👙 花式六九👅🥚,👄爆&🦵推~🐻推~漫游~毒龙💃艳舞诱惑~ 枕边游戏, 多种制服👗黑丝诱惑等等😚无限次,期待您亲临体验🅿️大型停车场 🔥🔥🔥主打 极致服务👩高品质.高颜值嫩妹 另有👄情趣剧情玩法👗丝袜制服✈️情趣游戏💃贴身热舞 💉浪荡护士📚桃色教师👯澳门迷情👩倩女幽魂🤖潘多拉少女 地点:#沙坪坝#江北大石坝#大学城#黄泥磅#回兴 预约价: 全果KB-4️⃣3️⃣0️⃣💰-7️⃣0️⃣分钟 两次释放-5️⃣5️⃣0️⃣💰-7️⃣0️⃣分钟 情趣剧情-6️⃣0️⃣0️⃣~8️⃣0️⃣0️⃣💰-8️⃣0️⃣ 分钟 更多详情请咨询或拨打…… 欢乐热线☎️:15683192520 ✉️咨询客服:@suya520 👀商家群组点这里进👀 双向小助理 @cqsuya123_bot
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➡️认证商家 商家 😅😇😢 琳琳家庭SPA丨全裸皖式 95店 ⛲️重庆 家庭SPA KB 95店⛩ 🗾专业主打莞式kb服务,全果,陪xi🛁 ,真du龙🐲。多种特色服务应有尽有! 郑重承若:所有同学都有售后服务保证,各位小哥哥可放心体验 🌄口爆惊喜398KB/次 (80分钟) 🌄口爆惊喜520KB/KT各/次(100分钟) 电话:17830494130 Q Q :2681711150 电报:@WL888522 频道: @WLL88845 地址:江北区大石坝
❤1
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Showing the 12 most recent of 25 posts we hold for @fll88997. 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.
Posts edited after publishing
@fll88997 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 5 September 2026
- Most recent edit
- 19 September 2026
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.
@cqwxc1688 · 6,8042 posts琳琳家庭KB俱乐部SPA
@WLL88845 · 11,7132 posts重庆出击报告
@chuji884 · 3,2151 post重庆柏拉图高颜情趣剧本介绍❤️评价
@CQbolatu88 · 3,4701 post重庆柏拉图✨高颜💋情趣剧本杀🫦
@CQbolatu888 · 9,7521 post重庆古法抓龙筋
@cqdb111 · 5741 post重庆水瓶座家庭SPA❤️95/KB《主》🔥
@cqspzp · 13,3081 post重庆素雅家庭spa
@cqsuya · 1,8251 post观音桥小仙女C杯大长腿
@cqxxnA18996164027 · 2,6161 post重庆裸嗨天花板商 K 荤场(拖鞋场)
@cqzk6868 · 11,6581 post全国大圈极品聚集总部
@hnanjingjujidi · 14,1691 post娇娇频道💋
@jiaojiao615618 · 4,4321 post重庆渝北回兴 兰亭汇 高端 洋房 SPA洗浴 电话19823113834
@lthspa1 · 1,9531 post重庆情趣商务 KTV(全裸场)
@qljf8888 · 21,6251 post黄泥磅小曼的个人频到
@xgun83 · 1,4661 post茜茜的私密空间
@xixi023520 · 3491 post雪儿-专属频道
@xvyqkp · 1,5881 post全国林妹大圈⭕️
@yewuzuvip · 6,6701 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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“重庆必刷榜” (@fll88997), 36,485 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/fll88997.
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.