Telegram RegisterThe public register of Telegram
Telegram profile photo for 豆奶 @sqxn520

Channel

豆奶 @sqxn520

@sqxn520314

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

2,139subscribers

+47 since we began measuring on 25 August 2026

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

Register entry

Telegram ID-1001705890753
TypeChannel
Username@sqxn520314
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 August 2026
Last confirmed live10 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/sqxn520314

Growth

2,0922,1392,115.525 August 2026 — 2,092 subscribers26 August 2026 — 2,092 subscribers29 August 2026 — 2,114 subscribers1 September 2026 — 2,127 subscribers5 September 2026 — 2,136 subscribers10 September 2026 — 2,139 subscribers25 August 202610 September 2026
6 measurements spanning 16 days, net +47. 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 2,085–2,146 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 09:412,139+3
5 Sept 2026, 11:002,136+9
1 Sept 2026, 09:052,127+13
29 Aug 2026, 08:032,114+22
26 Aug 2026, 02:172,092no change
25 Aug 2026, 18:002,092first reading

Engagement

20 posts held, back to 25 May 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.6%
avg views ÷ 2,139 subscribers
Avg views / post
547
6 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
6
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 2 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 25 August 2026
Posts held20 (25 May 202625 August 2026)
Views total3,283
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 18:00 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
19m 48s
Average length
4m 57s

Measured directly from 4 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

12 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
866.7%
🥰216.7%
👍18.33%
👎18.33%

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 12 reactions 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 25 May 2026 to 25 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

9 Jul 2026, 11:32 UTC≈2,210 views1 reactionsread 25 August 2026

【时间】:2026-07-09 【老师】:豆奶 【留名】:匿名 【人照】:8.5 【颜值】:8 【身材】:9 【服务】:9.5 【态度】:9.5 【环境】:9 【综合】:8.92 【过程】:静安的风骚少妇,跟这个少妇约了时间,打开门就穿着一套黑色的蕾丝情趣内衣,两个胸露出来,简单聊了一下交了费用,一起去卫生间洗澡,她帮我洗的很干净,在卫生间直接吹箫,然后就到了床上,开始服务,妹子技术很好,不愧是专业培训过的。吹箫真的很舒服,大奶像木瓜一样大,皮肤白嫩,先女上位,两个奶摇摇晃晃的,看看着她淫荡的表情,好爽 屁股也翘,做了几分钟我换了好几个动作,下面水很多,看着妹子也高潮了,啪啪的时候浪叫的很骚会叫老公,艹我,没几下我就完活了,服务真心不错,我还会继续光顾。 【狼友大队】:点击入群

1

9 Jul 2026, 06:03 UTC≈1,760 views1 reactionsread 25 August 2026
Forwarded from @maodutanhua

老师:豆奶 @sqxn520 评分:10.0分 评价:认识老师快两年了,这次老师换了新课室,环境比以前好,服务态度依旧如故,每次来都很享受,身心愉快,老师丰满型身材,喜欢大奶的闭眼冲 反馈人:匿名 魔都探花男群:https://t.me/+mhw016G0xDo0ZWI1

1

9 Jul 2026, 04:41 UTC≈1,660 views2 reactionsread 25 August 2026
Video

Video, posted without a caption

1👎1

4 Jul 2026, 11:53 UTC≈2,040 views1 reactionsread 25 August 2026

第二次来找豆奶老师了,老师换了新的课时,老小区比较安全。服务依旧非常好,非常舒服,也是顺利结束,值得反复来上课的老师。

1

Showing the 12 most recent of 20 posts we hold for @sqxn520314. 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 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 September 2026 — this entry's latest reading, not the date you are reading this.

“豆奶 @sqxn520” (@sqxn520314), 2,139 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/sqxn520314.

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.