Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
Engagement
7 posts held, back to 2 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
- 56.0%
- avg views ÷ 325 subscribers
- Avg views / post
- 182
- 7 posts measured
- Reaction rate
- 0.945%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 7 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 7 measured posts that carry a reaction reading, and over those same posts' views.
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
- 25
- Links
- 8
Lifetime counters from Telegram’s own channel header, read 5 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
5 reactions across 3 posts, in 1 kind.
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 3 of the 7 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 2 October 2026 to 5 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
5 Oct 2026, 09:28 UTC182 views2 reactionsread 5 October 2026 Photo
🎰 秋风送爽,小玉老师携手海花给大家带来福利🧧
📮 参与条件:
🌏️ 归属地 四川
🪪 必须设置用户名
🎫 加入-成都五月花🌹
🎫 加入-听潮阁砂舞.扫街
└ 🔑 发送口令﹝我爱小雨﹞
🎫 加入-成都海花集(搜附近)
└ 🔑 发送口令﹝我爱小雨﹞
🎫 加入-成都 Joker 听潮阁
❗ 口令提示:
请先参与抽奖,再发送口令激活
🎁 奖品内容:
💰️ 100优惠券 × 3
💰️ 200优惠券 × 2
💰️ 单P白嫖券 × 1
⚠️ 抽奖说明:
1.兑奖联系对应奖品提供方 @m9868a
2.抽奖请先设置用户名
3.中奖者24小时内联系老师约课 过期无效
4.兑奖需要出击完提交详细报告:@m9868a
5.因炸号、注销、超时等原因一律不兑奖
6.中奖后退出群组和频道,炸号,不予兑奖
7.该活动所有解释权归成都海花集
🔋 人品加成:⚡️× 9 规则
📅 开奖日期:(北京时间)
2026年10月07日 12时30分00
❤2
4 Oct 2026, 10:29 UTC179 viewsread 5 October 2026 Forwarded from @CDdhyzck1Photo
【成都大话修车认证】
花名: #豆儿姐
车牌:@m9868a
车费: 6p 10pp
位置: #汇都商贸
标签:#双流区 #代聊 #御姐 #6P #女友感
注: 老师人照8.8,身高162,体重98,年龄23左右,御姐类型,正常黄皮手感光滑,屁股上方有纹身,熊大也软有C+,身材匀称,下面蝴蝶户型,毛量较少,水多,正常紧度。服务正常三件套+水中萧+69+舔dd。妹妹比较热情话多,过程服务态度好,爱爱反馈很好,口和女上都很不错,不催钟,完事还会给你按摩放松,女友感强会一直找你聊天不会尬场,缺点位置较偏房间不是很隔音(听说近期会换房间),喜欢态度和熊控的可以去试试。
优惠情况:出击分兑换白嫖
主群: @CDdahuaxiuche
备用群: @CDdlamxw
4 Oct 2026, 07:12 UTC209 views1 reactionsread 5 October 2026 Forwarded from @CD_julebu1Photo
༺ཌༀ成都俱乐部•认证老师ༀད༻
🙋🏻♀️老师: #豆儿姐
🔗 车牌:@m9868a
💰 价格: #6/10
📍 地址:#汇都商贸城
🏷️ 标签: #双流区 #代聊 #御姐车 #6p #口爆 #态度车
🧾工兵锐评:人照相似度8成,年龄28左右,身材相当哇塞,胸挺大概有C,老师爱锻炼所以肉很紧实,服务态度很好,进门大胸就呼之欲出,老师身穿性感睡衣,给我拿好拖鞋就带我去洗澡了,先来了会水中萧,感受到老师的吸力相当强劲,直接把性欲拉满,来到床上先轻轻按摩背部,然后疯狂吸我鸡巴和胸,口活相当nice,毫无齿感,随后开始做爱,狠狠的操了老师十几分钟,两个大胸在我面前晃来晃去,真特么带劲。几个姿势老师都很配合,最后狠狠出货。这个价位老师的价格属于性价比可以,综合来个8.5分。
聊天大群 @CD_julebu
❤1
3 Oct 2026, 04:08 UTC196 viewsread 5 October 2026 Forwarded from @chengdudaohang1Photo
📊 0条车评 写报告
好评 0% | 人照 | 服务
中评 0% | 颜值 | 态度
差评 0% | 身材 | 环境
【花名】#小雨
【地址】#汇都商贸城附近
【标签】#双流区 #代聊 #御姐 #少御 #颜值不错 #态度好 #配合度高 #水中萧 #舌吻 #身材好 #黑长直 #人工白虎
【车牌】 @aa5868aa
【课费】6P/10PP #6/10
【硬件】妹子年龄 23左右,老师身高165,体重90左右,颜值耐看,人照8分。一头黑色长发,话密,聊天不冷场。帮洗认真,身材匀称,皮肤滑嫩,胸型不错,对c,手感超级好,弹性十足。下面人工白虎,小蝴蝶。水中萧就上强度,口技很是厉害。上床躺好后老师就会主动挑逗,然后从舔🐻,胸推,舔蛋蛋,口,老师口技十分了得,126的注意意被秒,女上体力一般,配合度高,各种姿势配合,叫声诱人,里面又湿又热,几…
3 Oct 2026, 01:07 UTC216 viewsread 5 October 2026 🌸【成都滴滴修车群】 🌸 专用报告
🌸基础信息🌸
【妹子花名】:#小雨
【妹子车牌】:@aa5868aa
【验证留名】:#sky
【验证时间】: 9.30
【所在位置】: #双流区汇都商贸城
【修车水费】:6P 1000PP
【是否代聊】:代聊
🌸硬件评价🌸
【身高体重】:老师的身高165、体重50kg、🐻C挺拔,皮肤正常黄皮肤
【妹子年龄】:27
【湿度紧度昆感】:外部颜色正常,里面粉,毛毛很少一点点,日起来很爽,昆感不错。
【颜值相似】:人照相似程度8,颜值8分,和健身那张照片相似度较高
【凶器罩杯】:胸型C,乳头颜色正常,胸部是真的挺
🌸软件评价🌸
【环境卫生】:交通/出入方便,房间整洁干净
【服务内容】:菜单上有的都有
【机车行为】:无
🌸综合评价🌸
【优点缺点】:性格比较外向,不会冷场,不过分的要求都会满足
【性 价 比】: 8分/满分10.0分
【推荐程度】: 8分/满分10.…
3 Oct 2026, 00:38 UTC154 viewsread 5 October 2026 Forwarded from @chengduhaiwangxiuchecheku1Photo
【成都海王修车】
花名:#小雨
车牌: @aa5868aa
地址: #汇都商贸城
价格: 600P/1000PP
硬件:人照8.5,160cm、45kg,去掉美颜基本一致,脸蛋圆润颜值耐看,皮肤光滑,胸大C罩屁股柔软舒服。户型不错,日感巴适。
优惠情况:暂无
⭐️类型: #双流区 #御姐 #感觉车 #6P #女友感 #大长腿 #代聊
锐评:老师身材不错,原生无科技大奶,屁股柔软圆润,口活真的好,爱爱反馈真的有感觉,服务态度女友感十足。适合打卡一番
https://t.me/chengduhaiwangxiuche
2 Oct 2026, 11:31 UTC138 views2 reactionsread 5 October 2026 Forwarded from @CDhaihuajicheku1Photo
📊 1条车评,综合分 8.7
好评 100% | 人照 9.0 | 服务 8.0
中评 0% | 颜值 8.0 | 态度 9.0
差评 0% | 身材 9.0 | 环境 9.0
👆 【点击查看评价】
【成都海花集车库】
【编号】#HH919
【花名】#小雨
【车牌】@aa5868aa
【地址】#双流区
【标签】#双流区 #22岁 #代聊 #嫩御 #女友感 #态度车 #身材车
【硬件】老师的人照9分,身高163、体重98、C罩杯无科技很挺手感很棒,皮肤正常黄皮,手感细腻,下面高等紧度、颜色褐红色,中等毛量
【软件】鸳鸯浴,A面,口,制服,舔蛋,69,爱爱
【课费】600P/50分钟 1000PP/80分钟 #6/10
【优惠】#无
【验证】#已验证 验证1 验证2
【综合评分】软件评分8.5分,硬件评分9分,综合评分8.75分
【特别提示】妹子和…
❤2
Showing the 7 most recent of 7 posts we hold for @aa7758258jj. 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 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.
成都 Joker 听潮阁
@yay99991710 · 6,5802 posts༺ཌༀ成都修车俱乐部ༀད༻
@CD_julebu · 49,5881 post成都海花集(搜附近)
@CDChaihuaji · 35,6931 post海花集报告
@CDChaihuajibg1 · 1,3151 post成都大话修车群
@CDdahuaxiuche · 31,3211 post成都滴滴修车 (可搜附近老师)
@CDdidikuaiche · 35,3261 post成都大话修车备用群
@CDdlamxw · 6,0131 post听潮阁砂舞.扫街
@ChengDuHaiHuaJi · 6,0381 post成都海王修车社区
@chengduhaiwangxiuche · 24,6791 post成都老狼修车报告
@laolanggb · 25,8551 post成都老狼修车群
@laolangtaolunqun · 37,4831 postLotteryBest抽奖导航
@lotterynav · 180,8801 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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“成都五月花🌹” (@aa7758258jj), 325 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/aa7758258jj.
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.