Telegram RegisterThe public register of Telegram
Telegram profile photo for 陈雨汐的520班

Channel

陈雨汐的520班

@ccyyx1238

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

535subscribers

+70 since we began measuring on 9 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004409100246
TypeChannel
Username@ccyyx1238
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 November 2026
Last confirmed live10 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/ccyyx1238

Growth

4655355009 Nov 2026, 11:47 — 465 subscribers9 Nov 2026, 12:22 — 465 subscribers10 Nov 2026, 18:47 — 535 subscribers9 Nov 2026, 11:4710 Nov 2026, 18:47
3 measurements spanning 1 day, net +70. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 455–546 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 18:47535+70
9 Nov 2026, 12:22465no change
9 Nov 2026, 11:47465first reading

Engagement

13 posts held, back to 5 November 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
127.3%
avg views ÷ 535 subscribers
Avg views / post
681
13 posts measured
Reaction rate
0.148%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 8 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held13 (5 November 2026 – 9 November 2026)
Views total8,852
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 12:22 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

Video runtime
53s
Average length
9s

Measured directly from 6 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

10 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10100.0%

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 8 of the 13 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 13 most recent posts we hold, published 5 November 2026 to 9 November 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

Telegram’s own ‘edited’ marker: 0 of 13 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 10:40 UTC64 viewsread 9 November 2026

【广深报告】https://t.me/QMqun 【所在位置】:白云 【老师艺名】:陈雨汐 【联系方式】:@xyux89 【验证留名】:东北银 【验证时间】:11.9 【课程打赏】:400 【颜值身材】:9 【服务内容】:课表基本都有 【服务态度】:非常满意,亲切又有耐心 【优点缺点】:态度特别好,服务认真不敷衍,结束后感觉很舒服很满足 【推荐程度】:9 【体验细节】:老师给人的第一印象就很亲切,进门后交流起来很自然,完全没有那种生硬的距离感。我是第一次来找老师,心里多少有些忐忑,但老师一点都没有忽悠,课表上该有的基本都认真做到了,而且做得很细致。 整个过程中她会留意我的反应,性格温柔,说话也轻声细语,让人很快就放松下来。服务结束后心里很满足,出来刚好是下午,阳光晒在身上暖洋洋的,整个人都轻松了不少。 体验感明显大于价格,是一次很舒服的经历,推荐给想找态度好、让人安心类型的兄弟。 温馨提示:报告仅供参考 注:(提交报告要提供相…

8 Nov 2026, 08:42 UTC512 viewsread 9 November 2026

【广州茶馆】:https://t.me/gzcg9 【出击时间】:2026-11-08 【老师艺名】:陈雨汐 【联系方式】:@xyux89 【车友留名】:匿名 【容貌颜值】:8.5 【体型身材】:前凸后翘 【胸部罩杯】:b+ 【修车水费】:400 【服务内容】:课表 【老师态度】:态度不错,自然不生硬 【所在位置】:白云 【综合评分】:9 【出击过程】:课室进出还算方便,就是电梯有点难等 😅 开门见到老师,真人跟照片挺像的,清秀苗条那挂。进去交了水费,老师就直接喊我脱光一起去洗澡,有陪洗。她洗得挺认真,洗到下面的时候我已经忍不住硬了 🔥 出来老师帮忙擦干,直接上了床开始服务。口活确实不错,各种技巧用得挺自然,舒服。后来她一边口着一边帮我戴上套,说自己有点忍不住了,让我坐上来。先是女上,老师摇得很有感觉,没几下就快被她摇出来了,赶紧喊停换回正面。抱着她做了一会儿就直接交了 💦 体验挺舒服的,干净、配合,不踩雷,值得。 全…

8 Nov 2026, 08:07 UTC455 views1 reactionsread 9 November 2026
Forwarded from @baogaowenxue

【永乐报告】https://t.me/guangfoyongle2020 【所在位置】白云 【老师艺名】#陈雨汐 【联系方式】@xyux89 【验证留名】爱河 【验证时间】11.8 【上课价位】400 【人照几成】8.5 【颜值分数】8(满分10分,朱茵王祖贤之流算10分) 【身材分数】8.6(满分10分,车模超模般的身材可打10分) 【课表服务】(全做全做,做大部分,做一半,几乎全没做) 【态度分数】9(满分10分) 【优点缺点】①缺点:没有 ②优点:热情有服务,会做的都做 【推荐程度】9 【体验细节】课室在白云永泰地铁站附近,好找交通方便。这个老师多次返了,服务真的没得说,丰满身材再湿身做服务真的一绝,做完后床上再服务,吸背,最后再来个女上摇,老师一边再胸前舔,再慢慢向下半区试探,找到几巴后一口含住,开始吸食起来,口硬忍不住了就叫老师开始,老师光速戴套,还没反应过来就塞了进去,顶着两个大乳骑在身上视角效果非常强,下面也忍不住…

❤1

8 Nov 2026, 02:21 UTC531 viewsread 9 November 2026
Video

今天也在悄悄期待你的出现。总在不自觉等着你的消息🌹

7 Nov 2026, 09:53 UTC731 views3 reactionsread 9 November 2026
Forwarded from @baogaowenxue

【永乐报告】https://t.me/guangfoyongle2020 【所在位置】白云 【老师艺名】#陈雨汐 【联系方式】@xyux89 【验证留名】森马 【验证时间】11.7 【上课价位】400 【人照几成】9 【颜值分数】8.5(满分10分,朱茵王祖贤之流算10分) 【身材分数】8(满分10分,车模超模般的身材可打10分) 【课表服务】全做(全做,做大部分,做一半,几乎全没做) 【态度分数】9(满分10分) 【优点缺点】听话,活好 【推荐程度】9 【体验细节】今天的报告简单点,第二返,老师很配合懂我想要的,报告文字不在多,重点就那么几点,颜值漂亮,听话配合,积极性高,400的性价比很高了,老师好与不好师兄们自信判断! 温馨提示: 报告仅供参考

❤3

7 Nov 2026, 01:57 UTC756 views1 reactionsread 9 November 2026
Video

早安。期待早日见到你🌹宝宝

❤1

6 Nov 2026, 09:43 UTC930 views1 reactionsread 9 November 2026

【广州茶馆】:https://t.me/gzcg9 【出击时间】:2026-11-06 【老师艺名】:陈雨汐 【联系方式】:@xyux89 【车友留名】:爱新觉罗 【容貌颜值】:气质御姐,肤白貌美 【体型身材】:身材饱满,翘臀很有料 【胸部罩杯】:c 【修车水费】:400 【服务内容】:课表一致 【老师态度】:很热情,服务到位 【所在位置】:白云 【综合评分】:9.1 【出击过程】:教室位置很好找,出电梯老师就已经留好门在等我了。见面后付完水费,她先帮我放好洗澡水,前后都很仔细地帮我清洗干净,再耐心擦干。 让我趴着开始做服务,先是全身按摩,边按边聊了几句,明显感觉身体放松了不少,疲惫感都淡了。接着舌尖顺着胸推到全身,触感很舒服。过水之后认真舔蛋,反复几次,节奏和力度都刚好。 翻过身来,她从胸口一路往下舔,舌头很灵活,把二弟挑逗得很快就硬了,然后含进去认真吞吐。我有点受不了,就让老师躺好,自己开始主动。双手揉着她的胸,低头舔她的乳…

❤1

6 Nov 2026, 02:08 UTC876 views0 reactionsread 9 November 2026
Video

宝宝们。早安。美好的一天心情美美哒哒。期待你的出现,🌹

5 Nov 2026, 14:14 UTC≈1,040 views1 reactionsread 9 November 2026
Photo

Photo, posted without a caption

❤1

5 Nov 2026, 14:13 UTC≈1,000 views1 reactionsread 9 November 2026
Photo

✅老师:#白云小学老师陈雨汐 📍地区:#白云 👾学费: #400p ✈️学号:@xyux89 📣标签: #kiss #69 #口爆

❤1

5 Nov 2026, 14:10 UTC973 views2 reactionsread 9 November 2026
Forwarded from @GZGreatReport

胸不巨何以聚人心 https://t.me/+e9b5nbURD143ZTll 💃 艺名:陈雨汐 🆔 电报:@xyux89 💒 地点:天河 📆 时间:11.5 💸 水费:400 🥰 颜值:8.7 🥰 人照几成:9成 👸 皮肤肤色:白净细腻,触感光滑 👙 身材: 1.有无小肚子:有一点,不过腰线清晰 2.屁股形状和大小:圆润适中,手感软弹 🐻 胸器:C罩杯,天然无科技,形状挺拔,手感软弹有弹性,乳头粉嫩偏小,乳晕颜色较浅 🐍 舌吻:可以kiss 🚬 抽烟:没问 👄 口活技术评分:8.8(认真耐心,覆盖全面,刺激感强) ❤️ 态度:热情主动,全程投入,有自然女友感 🤭 优点缺点: 优点:皮肤好、口活细、姿势配合度高、服务有耐心,整体女友感强。 缺点:胸部尺寸偏常规,对巨乳党可能吸引力不足;过程中主动引导稍少,更多是配合型。 ✍ 体验过程: 地方干净整洁,到了先一起洗澡,正反面都有她帮忙仔细洗,服务很到位👍 上了床正式开始,舌头又软又…

❤2

Showing the 12 most recent of 13 posts we hold for @ccyyx1238. 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

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 1 registered channel — 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“陈雨汐的520班” (@ccyyx1238), 535 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ccyyx1238.

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.