修车认准: @fzxpp65 老师:小慧 学生::小哥哥 出击日期:10.2 喝茶水费:600P 老师身材: 9 服务:服务还行 态度:态度满分 优缺点:本人特别嫩,身材好,最主要的🐻摸着很舒服, 总体评分:9分 体验过程:老师有帮忙清洗,洗得很仔细,洗完帮忙搽干身体转战床上🐍吻管饱、妹妹口活非常好、感觉口的过程就要射了,就让老师带套了,传教士进入,一边抓着奶子边凿,愉快出货真爽!老师非常非常好!态度好!很耐丝😍无脑冲!
❤3🥰2

Channel
@changyonghaoSGKTY2020
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
25,793subscribers
+9 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001659137906 |
|---|---|
| Type | Channel |
| Username | @changyonghaoSGKTY2020 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/changyonghaoSGKTY2020 |
Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 12:57 | 25,793 | +17 |
| 18 Sept 2026, 17:38 | 25,776 | +28 |
| 16 Sept 2026, 06:39 | 25,748 | -193 |
| 14 Sept 2026, 15:17 | 25,941 | -68 |
| 13 Sept 2026, 04:39 | 26,009 | -318 |
| 11 Sept 2026, 09:56 | 26,327 | -28 |
| 8 Sept 2026, 17:59 | 26,355 | +37 |
| 5 Sept 2026, 12:00 | 26,318 | +161 |
| 3 Sept 2026, 15:18 | 26,157 | +7 |
| 2 Sept 2026, 06:57 | 26,150 | +26 |
| 1 Sept 2026, 05:13 | 26,124 | +238 |
| 31 Aug 2026, 02:54 | 25,886 | +3 |
| 30 Aug 2026, 00:19 | 25,883 | -65 |
| 28 Aug 2026, 22:55 | 25,948 | +84 |
| 27 Aug 2026, 21:33 | 25,864 | +113 |
| 26 Aug 2026, 22:05 | 25,751 | +100 |
| 26 Aug 2026, 00:41 | 25,651 | +115 |
| 24 Aug 2026, 23:42 | 25,536 | +131 |
| 23 Aug 2026, 10:27 | 25,405 | +132 |
| 21 Aug 2026, 22:36 | 25,273 | first reading |
102 posts held, back to 1 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 72 pages of Telegram’s post history, 20 posts per page.
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 3 October 2026 |
|---|---|
| Posts held | 102 (1 August 2026 – 3 October 2026) |
| Views total | 37,166 |
| Reactions total | 374 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 05:45 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.
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.
1,997 reactions across 63 posts, in 23 distinct kinds. The most used accounts for 36.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 721 | 36.1% | |
| 👍 | 356 | 17.8% | |
| 🔥 | 293 | 14.7% | |
| 👏 | 208 | 10.4% | |
| 🥰 | 195 | 9.76% | |
| 😁 | 47 | 2.35% | |
| 💯 | 44 | 2.20% | |
| 🐳 | 20 | 1.00% | |
| 🍌 | 13 | 0.651% | |
| 😍 | 13 | 0.651% | |
| 👀 | 12 | 0.601% | |
| 🍾 | 10 | 0.501% | |
| 💘 | 10 | 0.501% | |
| 🤝 | 10 | 0.501% | |
| 🙉 | 9 | 0.451% | |
| 👻 | 8 | 0.401% | |
| 💋 | 8 | 0.401% | |
| 🍓 | 6 | 0.3% | |
| ✍ | 5 | 0.25% | |
| 😈 | 4 | 0.2% | |
| 3 further kinds | 5 | 0.25% |
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 64 of the 102 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 1,997 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 1 August 2026 to 3 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.
修车认准: @fzxpp65 老师:小慧 学生::小哥哥 出击日期:10.2 喝茶水费:600P 老师身材: 9 服务:服务还行 态度:态度满分 优缺点:本人特别嫩,身材好,最主要的🐻摸着很舒服, 总体评分:9分 体验过程:老师有帮忙清洗,洗得很仔细,洗完帮忙搽干身体转战床上🐍吻管饱、妹妹口活非常好、感觉口的过程就要射了,就让老师带套了,传教士进入,一边抓着奶子边凿,愉快出货真爽!老师非常非常好!态度好!很耐丝😍无脑冲!
❤3🥰2
修车认准: @fzxpp65 老师:小曦 学生:2号 出击日期:9.30 喝茶水费:1400PP 老师身材: 细致结硕果 服务:细致结硕果 态度:热情不冷场 优缺点:温柔 健谈 漂亮 身材 总体评分:10分 体验过程:终于等到小曦妹妹开课,上次就想约了 结果碰巧红休了 今天一回来开课就马上预定了 也是第一次夜晚出击,到达地点后获取准确位置,上楼进门一气呵成。因线上有聊过天,所以此时聊天不会觉得很陌生,交完水费后,宽衣解带走进浴室,调好热水…
❤9🔥7👏1🥰1
修车认准: @fzxpp65 老师:愛老师 学生:李秘书 出击日期:9.26 喝茶水费:600P 老师身材: 梨形身材.蜜桃臀 服务:课表都有 态度:9.0 优缺点:漂亮 😻 总体评分:推荐 体验过程看着是我喜欢的类型,也是直接冲了,毕竟太少符合自己喜欢的了。见面发现人跟照片一样漂亮,和老师聊了一会,突然没忍住直接亲吻老师,搞的老师一点害羞了,老师很热情,洗澡的时候还会水中萧,口活很好反正不建议被口太久,差点出水了,赶紧打断老师,拉她去床上,没那么敏感了,老师继续帮我口,不喊停不停的,还是我把持不住了,让她给我带套,老师应该刚做没多久,没查几次就湿润了,不耐装,还好我也是123,几个回合下来我也缴械了。老师很美也很年轻值得再去一次
😁10👏6❤3🖕1
修车认准: @fzxpp65 老师:愛老师 学生:李秘书 出击日期:9.26 喝茶水费:600P 老师身材: 梨形身材.蜜桃臀 服务:课表 态度:8.9 优缺点:洗吹做,情绪价值拉满.服务度拉满 总体评分:推荐 体验过程:大家好.我是李秘书.我本人是不写出击报告.但这次.要出现例外了.愛老师老师.在这短短的90分钟里面.让我感受到了什么叫沉浸式AI男主体验.因为我是一个很难射的人.之前找过很多老师做单P都很难射.只能到后面变成PP次数才能.以至于变成了享受过程而不射.但这次在愛老师老师身上.被老师两招打倒在地.第一次觉得PP里面的时间那么长.两次榨干后居然还有时间抽烟和闲聊.特别是老师的表情.肢体动作.我的评价.顶级.这个价格只能…
🥰9❤8🔥5👏1
修车认准: @fzxpp65 老师:朋儿 学生:jojostar 出击日期:9.25 喝茶水费:600P 老师身材: 人照一致,好看,瘦底大波 服务:课表 态度:10 优缺点:🐻还行 态度还可以 耐聊吧 缺点:🈚️蛇 稍微瘦了点 总体评分:推荐 体验过程:进门一身黑衣+黑裙,随后她点的丝袜靴子在门口顺手提进来 进门一瞬间 感觉有点小瘦 没多想就坐下来点根烟坐下来吹会牛逼 然后朋儿提了嘴红中 自然就开始畅谈 时间差不多就洗刷刷去了 洗完出来我才去洗 不太爱陪洗 接着就是我洗完出来之后已经换好靴子+肉丝了 没想到奶子还行 本来看起来是感觉有点排骨的 上手抓两下奶子摸两下屁屁 开舔 感觉有点晚了 就只想快点了事 光速戴上小雨伞 就是坐上…
❤12🥰8🍾4👏1
修车认准: @fzxpp65 老师:小雅 联系: @xiaoya2873 学生:叫醒装睡的人 出击日期:9.21 喝茶水费:800P 老师身材: 温柔可人 耐心 积极配合 服务:课表 态度:9.7 优缺点:活好 口活一流 水多 粉嫩 总体评分:推荐 体验过程:聊刷了一下电报,无意中看到小姐姐的照片,心上一动就想来出击,问小姐姐刚好有空位,欣然前往。来到地方后,小姐姐遥控上楼。进房间后,就看到一个美美的嫩妹,刚好是我喜欢的类型。,洗完澡,躺在床上,开始了她的表演,小姐姐的口活可以,光口就让我差点把持不住。几分钟后,感觉差不多了,小姐姐带上🌂开始女上。二弟一进去就感到温暖紧致,非常舒服,小姐姐的娇吟声让我欲罢不能…
❤9😈4🔥2👏1
修车认准: @fzxpp65 老师:晴子 学生:欧hc 出击日期:9.20 喝茶水费:700P 老师身材: 大长腿 皮肤白 🐻大 服务:课表都有做 态度:10 优缺点:颜值高,身材好,服务态度也不错,可以抱起来干,总之体验感 总体评分:非常推荐 体验过程:关注老师很久了,终于各种条件都凑够让我得以约见老师,幸运的是还是头课。 地方比较好找,老师到楼下来接我见面就是惊喜,比照片的好看,双眼皮,是我喜欢的类型,老师带我到科室进门后里面黑漆漆的,老师让我等会,说停电了,正在处理,然后我帮老师处理了电表,老师对我的亲近感一下子拉进了。然后空调遥控器没电了,老师又像是魔法师一样,翻翻翻😂 老师给我放好水开始洗澡,老师亲自给洗,嗯就是你们理解…
🥰5❤2👏1
修车认准: @fzxpp65 老师:心心 学生:可乐加冰 出击日期:9.19 喝茶水费:500P 老师身材:匀称,绝美 服务:洗催做三件套、吻 态度:10分亲切温柔体贴 优缺点:颜值高,身材好,服务态度也不错,可以抱起来干,总之体验感 总体评分:9分,女友感,推荐返食。500p去哪里找😂 体验过程:中午寂寞难耐睡硬邦邦,上飞机关注到老师。刚好起床头课,哪里还能忍,马上出发,准时出现在楼下,洗完躺床上,接下来 口,一个字赞,无齿感。很舒服!亲咪咪,亲大腿内侧,一番调情下来整得我硬邦邦,然后老师给我带上小雨伞,坐在我的身上用小嫩穴套我的鸡巴,再直接坐上去,哇,真的好爽,老师的穴里面确实紧,老师女上体位动的非常用力。摇了2分钟,让老师从…
👏4👍1
修车认准: @fzxpp65 老师:露儿 学生:吃奶战士 出击日期:9.18 喝茶水费:1000P 老师身材:高挑高颜值嫩妹 服务:课表都有 态度:9.9 优缺点:颜值颜值颜值,脸型五官都极其完美,一看就移不开视线的那种,服务也异常到位,属于天赋型选手,完美炮架子,缺点就是上课时间太短暂了 总体评分:9.9分推荐! 体验过程:小区环境优雅静谧,没有门禁随便进,上楼后打开虚掩的房门,老师穿着低胸短裙娇羞的站在门后,亭亭玉立,几乎跟我170cm的身高齐平,关门直接伸手牵我的鸡鸡,我便以揉屁股回应,哇擦屁股又大又圆,被裙子包裹的曲线视觉冲击力极强。洗澡,边洗边挺着柔嫩的奶子在身上漫游,然后一口含住鸡鸡水中箫,爽翻了。洗完转战到房间先AB…
🔥3❤2👍1
修车认准: @fzxpp65 老师:一诺 学生:老吕 出击日期:9.17 喝茶水费:800P 老师身材:1.68左右 服务:菜单上有的都有 态度:10 优缺点:手感非常好,完美 总体评分:10分推荐! 体验过程:个人比较挑剔,看中了照片,很像之前一个朋友,可惜ls今天不开课,不过还是尝试联系了一下,辛苦ls大老远赶回家,等了一个小时终于见到本人的de时候发现ls比照片上的还好看,等的很值,进门ls就帮助了洗浴,然后ls就开始服务,具体细节就不说了,服务很好,ls也很热情,而且ls是兼职,很爱学习桌上放着书,说话也很有深度,总之很对胃口很棒,下次还会二刷
❤8🥰4👍1
修车认准: @fzxpp65 老师:乔乔 学生:慢慢习惯 出击日期:9.16 喝茶水费:1000P 老师身材:身材高挑,皮肤光滑,柔情似水 服务:吹箫、毒龙、舔蛋、调情、乳交 态度:8.8 优缺点:服务很好 老师配合 课表上面的都有 会配合你跟着你节奏 会夹 总体评分:9.9分推荐! 体验过程:有幸约到了老师,提前一天约好时间,准时到达老师的课室,开门见到老师,心想这次赚到,和老师一起洗澡,洗完澡就直接上楼进入战斗,老师🐍的很舒服也很主动,口得很舒服,口硬了老师帮忙戴套做爱,首先是女上,接着是传教士,边蛇边插,最后疯狂后入,在老师呻吟声中顺利出水。
🥰11❤8👏8🔥1
修车认准: @fzxpp65 老师:小草 学生:骑进村 出击日期:9.15 喝茶水费:800P 老师身材:漂亮 瘦,本人比照片好看多了 服务:课表的内容 态度:8.5 优缺点:有点技师服务意识,少见的自备矿泉水。胸大瘦底 不催钟 总体评分:9.5分推荐! 体验过程:本来约的另一个,进门看见照骗立马跑了然后就约了小草老师,本着大不了再次转身的态度去的,没想到见到本人跟照片区别不大于是再也走不开了😂立马给米,然后坐着聊了一会抽了一根烟然后洗澡,都是小草老师帮洗,还用胸帮我搓背爽死了,然后冲洗干净口含热水水中萧,舌功特别棒,差点把我吹出来,然后我直接拉起老师舌吻尝自己味道,然后去到房间我也没要老师服务直接像男女朋友一样互相调情,舌吻6…
🥰11❤9👍8🔥4👏2
Showing the 12 most recent of 102 posts we hold for @changyonghaoSGKTY2020. 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.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“福州品茶榜” (@changyonghaoSGKTY2020), 25,793 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/changyonghaoSGKTY2020.
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.