Telegram RegisterThe public register of Telegram

Channel

夏颖骚骚的日常

@xy990688

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

813subscribers

-4 since we began measuring on 13 August 2026

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

Register entry

Telegram ID-1003583055316
TypeChannel
Username@xy990688
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/xy990688

Growth

81381781513 Aug 2026, 09:17 — 817 subscribers13 Aug 2026, 14:36 — 813 subscribers13 Aug 2026, 09:1713 Aug 2026, 14:36
2 measurements taken within a single day, net -4. 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 812–818 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:36813-4
13 Aug 2026, 09:17817first reading

Engagement

16 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
51.4%
avg views ÷ 813 subscribers
Avg views / post
418
13 posts measured
Reaction rate
0.448%
reactions ÷ views · ER floor
Posts in window
13
of 16 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 7 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 11 August 2026
Posts held16 (10 July 202611 August 2026)
Views total5,430
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:17 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
14s
Average length
7s

Measured directly from 2 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

15 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 46.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
746.7%
😍320.0%
👍213.3%
🎉16.67%
💋16.67%
🔥16.67%

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 16 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 10 July 2026 to 11 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

4 Aug 2026, 11:09 UTC371 views2 reactionsread 13 August 2026
Video

Video, posted without a caption

1😍1

1 Aug 2026, 11:58 UTC423 views1 reactionsread 13 August 2026
Forwarded from @chaodaoD

【老师艺名】 慕容.夏颖 【联系方式】 @xss00933 【上课地址】拱墅 【上课价位】2800pp 【验证留名】匿名 【验证时间】7.31 【颜值身材】 前凸后翘, 胸大软 【服务内容】位置好找安全系数高内部干净整洁,进门人照9分,御姐风越看越有味的那一类,进门聊了一会交了课费,赶紧上手隔着衣服一阵卡油,帮老师一件件托到一丝不挂,身材很是惊艳,胸一眼真手感很软,颜值五官立体越看越有味的那种,落地镜前小戏完牵手共浴,有帮前后擦洗洗完帮查干,换上频道版情趣内衣有岛国御姐风,先是热吻一波捏着肥臀肉感十足,本人一只手捏胸一只手捏着丰臀,爽到了极限差点不行了,赶紧换落地镜前欣赏着老师完美的肉体,从后双手捏着两个大熊小弟弟蹭着老师的肥臀,老师全程骚话不断,前戏给足一点没催客这点很难得,上床又是一阵调戏,实在忍不住了先在沙发上后入先手,捏着老师肥臀拍打了几下感觉无敌,换到落地镜前又是一阵输出,看着落地镜里老师享受的样子很有成就感,接着到床

1

28 Jul 2026, 23:54 UTC489 views1 reactionsread 13 August 2026
Photo

艺名: 慕容·夏颖 年龄: 21岁 身高: 170cm 体重: 96斤 D罩杯 04年时装模特短期兼职 常健身训练 身材凹凸有致 纯天然D🐻 性感火辣 🉑纯🉑甜🉑御 (🉑反差哦) 皮肤白嫩、紧致! 愿结识高素质朋友彼此尊重 love 课费: 1700P 2800PP 4600过夜(晚八点至第二天自然醒) 服务简介: 沐浴🛁 .👄. 角色扮演.69 黑丝👠制服诱惑. 配合各种姿势.激情爱爱等 love 🈲: 肛交 、无套、醉酒、磕药、重口味sm 、偷拍视频! 个人简介: https://t.me/xy990688 个人联系: @xss00933 双向机器人: @xxs990_bot

1

Showing the 12 most recent of 16 posts we hold for @xy990688. 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 — 1,043,038 of 1,480,688entries 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 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.

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.

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.

“夏颖骚骚的日常” (@xy990688), 813 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/xy990688.

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.