Telegram RegisterThe public register of Telegram

Channel

洋洋的动态

@yang98709

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

2,272subscribers

+82 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003949389207
TypeChannel
Username@yang98709
CreatedBetween 1 April 2026 and 29 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/yang98709

Growth

2,1902,2722,2316 August 2026 — 2,190 subscribers6 August 2026 — 2,193 subscribers9 August 2026 — 2,248 subscribers13 August 2026 — 2,272 subscribers6 August 202613 August 2026
4 measurements spanning 6 days, net +82. 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 2,178–2,284 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:242,272+24
9 Aug 2026, 22:122,248+55
6 Aug 2026, 22:202,193+3
6 Aug 2026, 20:182,190first reading

Engagement

20 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
55.1%
avg views ÷ 2,272 subscribers
Avg views / post
1,250
17 posts measured
Reaction rate
0.105%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 10 of 17 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 7 August 2026
Posts held20 (29 July 20267 August 2026)
Views total21,283
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:59 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
1m 37s
Average length
19s

Measured directly from 5 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

13 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1292.3%
🥰17.69%

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 20 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 29 July 2026 to 7 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

6 Aug 2026, 14:17 UTC615 views3 reactionsread 7 August 2026
Photo

深圳出击俱乐部报告 https://t.me/RomanticBabyyou 学生:jackfunny Joy 出击日期:080X 老师:#龙华丰满洋洋 老师号:@yangSZ9890 地区:#龙华红山 水费:700/P工兵 人照:8.5分 身材:8.5 服务:课表,波推夹肠仔有特色,可以沟通拍小视频 体验:二刷洋洋了,这个东北女孩蛮好玩的,波感觉都不止D了,又大又白又弹又滑。性格也蛮可爱,和东北女孩聊天很开心、有情绪价值。另外,看频道就知道了,这个姑娘喜欢自拍,相信不少兄弟乐于客串一把男优。 遥控上门,课室在龙华核心地段住宅区,但不是热门景点比较安全。轻车熟路进了门,妹妹先为上个客人拖延时间致歉半天,然后拿水在沙发上聊了会天。课室不大但是很温馨,尤其是卧室,紫色调配星空灯,小色情哦。 脱衣共浴,站着就行,大D杯蹭来蹭去的感觉就是爽。妹妹好像有点印象,问本狼是不是来过。哈哈,既然想不起来就算了,本狼就揣着明

3

4 Aug 2026, 06:08 UTC≈1,220 views1 reactionsread 7 August 2026

深圳·嫩妹学院出击报告 https://t.me/sznmxycjbg 『课室坐标』:#龙华区上塘 『老师昵称』:#洋洋 『老师电报』:@yangSZ9890 『学生留名』:荒野🐟 『学习日期』:8月1号 『上课费用』:700 『颜值身材』:9分 『体验过程』:跟老师月了三天,今天中午终于🈷️上了,下午2点半到楼下,老师遥控上门,进房间老师让坐着休息会,然后聊几句就马上交学费了,因为老师🐻很大受不了了,跟老师一起脱衣服去洗澡,老师全程帮洗,很认真,洗好上床,老师问有没有敏感部位,很体贴学生,我肯定是没有的,老师开始服务,开始蛇吻然后舔🐻后面舔OO然后帮我口,口有二三分钟然后🐻推,熊推受不了让老师给我带tt,开始干老师了,老师躺着我干5-6分钟换后入,也干老师二分钟让老师爬着,没几下缴械投降了,老师🐻真的很大,跟她频道介绍的一样,想冲的兄弟别犹豫。 『优点缺点』:皮肤很白 『推荐程度』:10 (10分为满分) 『综合评分』

1

4 Aug 2026, 05:36 UTC≈1,100 views1 reactionsread 7 August 2026
Forwarded from @sznmxycjbg

深圳·嫩妹学院出击报告 https://t.me/sznmxycjbg 『课室坐标』:#深圳 #龙华 『老师昵称』:洋洋 『老师电报』:@yangyang9877 『学生留名』:陈奕 『学习日期』:5.7 『上课费用』:7p(半价卷) 『颜值身材』:9 『体验过程』: 发现中奖跟老师预约时间从南山打车去了龙华,还好晚上不堵车,遥控上楼进门看到老师穿着低胸映入眼帘的就是巨大的胸部,坐沙发聊了一会儿天,老师会主动拿拖鞋给你换上,然后陪洗服务,洗完后老师会帮你擦干身体身体,服务态度可以打到9-10分,后进入房间开始服务,服务内容跟介绍一致,老师会主动问你需不需要🐍,边做服务还会主动问你需不需要其他的,这点非常好评,对比其他的老师情绪价值拉满,服务水准高,口完老师主动开始打奶炮,大胸打起来感觉完全不一样。打完后带上小雨伞进入正题老师主动骑了上来,边抓边做,不得不说ls也是个桩基,差点缴械投降果断更换姿势,发起最后冲刺。洗完澡坐着继续跟

1

2 Aug 2026, 08:38 UTC≈1,370 views2 reactionsread 7 August 2026
Video

Video, posted without a caption

1🥰1

1 Aug 2026, 08:02 UTC≈1,300 viewsread 7 August 2026

快乐榜专用报告 【验证留名】:Beaufort.C 【验证时间】:7月 【妹子花名】:洋洋 【联系方式】: @yangSZ9890 【所在位置】:龙华红山 【修车水费】:700(工兵券) 【颜值身材】:9 【凶器罩杯】:D 【服务项目】:课表,鸳鸯浴,水中萧,舌吻,69 【服务详情】:四刷洋洋,中奖后第一时间约上老师,轻车熟路地到了课室,一进门,洋洋说,哥哥你又回来了,哈哈哈,很有意思的一个妹妹。好看的妆容,火爆的身材,天然白皙滑嫩的D胸,紧致的皮肤,一切还是那么美好。环抱上她纤细的腰肢,互脱衣物,她拉着我的手进入了淋浴间,用漱口水先漱完口,二话不说,舌吻开路,双手搭上她的大D胸,瞬间被我的坏手揉捏变形,她一边轻哼,一边帮我洗浴,仔细的洗着我兄弟,护膜沐浴露,上下其手,摩擦生电,她在亲吻间已低头含上牛牛,唔,熟悉温润的小嘴,让我牛牛非常舒适,当小弟弟已硬的可以击穿钢板时,洋洋帮我擦干洗净上床。 我迫不及待的躺下,嘴上说着情话

1 Aug 2026, 08:01 UTC≈1,360 views0 reactionsread 7 August 2026

深圳·嫩妹学院出击报告 https://t.me/sznmxycjbg 『课室坐标』:#龙华区上塘 『老师昵称』:#洋洋 『老师电报』:@yangSZ9890 『学生留名』:荒野🐟 『学习日期』:7月24 『上课费用』:700 『颜值身材』:9分 『体验过程』:跟老师月了三天,今天中午终于🈷️上了,下午2点半到楼下,老师遥控上门,进房间老师让坐着休息会,然后聊几句就马上交学费了,因为老师🐻很大受不了了,跟老师一起脱衣服去洗澡,老师全程帮洗,很认真,洗好上床,老师问有没有敏感部位,很体贴学生,我肯定是没有的,老师开始服务,开始蛇吻然后舔🐻后面舔OO然后帮我口,口有二三分钟然后🐻推,熊推受不了让老师给我带tt,开始干老师了,老师躺着我干5-6分钟换后入,也干老师二分钟让老师爬着,没几下缴械投降了,老师🐻真的很大,跟她频道介绍的一样,想冲的兄弟别犹豫。 『优点缺点』:皮肤很白 『推荐程度』:10 (10分为满分) 『综合评分』

Showing the 12 most recent of 20 posts we hold for @yang98709. 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.

Citation-graph rank

Citation-graph rank — 393,551 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 3 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“洋洋的动态” (@yang98709), 2,272 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/yang98709.

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.