Telegram RegisterThe public register of Telegram
Telegram profile photo for QQ

Channel

QQ

@saoqianqian07

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

65subscribers

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

Register entry

Telegram ID-1004376947226
TypeChannel
Username@saoqianqian07
Description往前走就好了 总有人与你同路
Created17 September 2026 — measured — dated from the channel’s first post
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held1
On Telegramt.me/saoqianqian07

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 We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 02:2265first reading

Engagement

8 posts held, back to 17 September 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
504.6%
avg views ÷ 65 subscribers
Avg views / post
328
6 posts measured
Reaction rate
0.277%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 6 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 24 September 2026
Posts held8 (17 September 2026 – 24 September 2026)
Views total1,968
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 02:22 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

Photos
3
Videos
1
Links
2

Lifetime counters from Telegram’s own channel header, read 27 September 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.

Video runtime
7s
Average length
7s

Measured directly from 1 video 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

3 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 3 of the 8 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 17 September 2026 to 24 September 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

24 Sept 2026, 08:40 UTC193 viewsread 27 September 2026
Photo

#天河倩倩 9月24日荣登广州学院名师榜❤️ 😀聊天群: @gzbbb 😀名师榜: @gzwww 👩‍🎓 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【广州学院】联系的老师货不对板,被骗定金,群主: @gz222 担保赔付!进群参加现金红包🧧! 立即加入 👆查看评价

20 Sept 2026, 12:58 UTC275 views0 reactionsread 27 September 2026
Forwarded from @ZhuodaorenrongyuPhoto

@saoqian00 倩倩,广州,170御姐,某些角度像范冰冰,很瘦,就是御姐的标准好身材。技术很好,反馈很强烈,服务特别多,能玩很久。评级:S+

17 Sept 2026, 09:34 UTC387 views1 reactionsread 27 September 2026

【妹子花名】:#倩倩 【联系方式】:@saoqian00 【验证留名】:@zhuchongba5201 【验证时间】:9月 【修车水费】:20p 【流程小文】: 是纤细型的御姐,科技胸c,瘦有马甲线168 左右,去除美颜就是她,值得一提是动态,活非常好,在广州开20确实有东西。换上黑丝高跟腿好好看,能角色扮演投入,能代入,眼神交合,女上有绝活,活好泄欲的好选择。

❤1

17 Sept 2026, 09:33 UTCviews —

QQ pinned «@saoqian00 🌟艺名:倩倩 🌟籍贯:湖南 🌟年龄:02 🌟身高:170 🌟体重:90 🌟胸围:C➕ 🥰:可纯可御,乖巧懂事,温柔体贴,丝袜情趣 ,制服鸳鸯浴,水中潇,高跟鞋 丝袜情趣 制服诱惑角色扮演,可🐍可69,包你满意为止 高度配合姿势任选(如有制服诱惑 请提前备注) 💰2000p60分钟 💰3500pp120分钟 💰4800下午🍵3小时 💰5500下午🍵4小时 💰夜7000ppp 外出,上门,具体私聊…»

17 Sept 2026, 09:28 UTC420 views2 reactionsread 27 September 2026

@saoqian00 🌟艺名:倩倩 🌟籍贯:湖南 🌟年龄:02 🌟身高:170 🌟体重:90 🌟胸围:C➕ 🥰:可纯可御,乖巧懂事,温柔体贴,丝袜情趣 ,制服鸳鸯浴,水中潇,高跟鞋 丝袜情趣 制服诱惑角色扮演,可🐍可69,包你满意为止 高度配合姿势任选(如有制服诱惑 请提前备注) 💰2000p60分钟 💰3500pp120分钟 💰4800下午🍵3小时 💰5500下午🍵4小时 💰夜7000ppp 外出,上门,具体私聊 📞私聊:@saoqian00 机器人:@saoqian00_bot 🎁频道🀄️转:https://t.me/saoqianqian00/7 🧧口令留位:P200 (🈲️无T毒🐲,醉酒,嗑💊,扣P,) (本人属于骨感类型,介意的勿扰)https://t.me/saoqianqian00/7 地址:广州,天河

❤2

Showing the 8 most recent of 8 posts we hold for @saoqianqian07. 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.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“QQ” (@saoqianqian07), 65 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/saoqianqian07.

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.