@xyxmm1 我又又又…开课了~

Channel
汐瑶朋友圈
@sjzxb22
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
230subscribers
+112 since we began measuring on 25 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003662359067 |
|---|---|
| Type | Channel |
| Username | @sjzxb22 |
| Created | 20 September 2026 — measured — dated from the channel’s first post |
| First recorded | 25 September 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/sjzxb22 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Oct 2026, 14:55 | 230 | +112 |
| 25 Sept 2026, 13:22 | 118 | no change |
| 25 Sept 2026, 12:47 | 118 | first reading |
Engagement
11 posts held, back to 20 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
- 145.6%
- avg views ÷ 230 subscribers
- Avg views / post
- 335
- 7 posts measured
- Reaction rate
- 0.111%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 11 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 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 11 (20 September 2026 – 25 September 2026) |
| Views total | 2,344 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Sept 2026, 13:22 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 11 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 20 September 2026 to 25 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
#苏州江南学院 【上课时间】:2026-09-23 【老师昵称】:汐瑶 【学生留名】:1 1 【人照得分】:8 【颜值得分】:9 【身材得分】:9 【态度得分】:10 【环境得分】:9 【综合得分】:9.17 【过程描述】:跟老师约好了时间,遥控上楼,进门老师很白,大长腿亮瞎了我的双眼,寒暄几句,进入浴室,老师帮我搓洗小弟,小弟瞬间就血脉偾张,硬的跟钢筋一样,洗完澡,擦干身体,开始进入主题,躺在床上老师舔奶入手,慢慢舔慢慢往下,一口含住了我的大鸡巴,口交技术挺好的,含吹老师的淫叫声太骚了,亲着老师的嘴巴,揉着她的奶子,草着她的粉逼,摸着她的大长腿,满足,甚是满足,快要射了急忙换了姿势,后入,大长腿必须后入,一边后入一边揉着老师的屁股,抖擞一下,子孙全射断子绝孙套里面了,老师的身材太喜欢了,肤白貌美,逼也紧
【时间】:2026-09-21 【老师】:汐瑶 【留名】:西瓜 【人照】:9 【颜值】:8.5 【身材】:8.5 【服务】:8.5 【态度】:9 【环境】:8.5 【综合】:8.67 【过程】:人确实高 ✓A稍微一练就有马甲线了三件套,舌的话全程就一次😂水是真的多 拔出来都溅到床单上了,洞口紧 里面我倒是没什么感觉,应该是我太小了。老师人不错就是太高了不适合我😵💫 在这里佩服一下小井同学 井万三😂
@xyxmm1 开课开课~
@xyxmm1 忘记发频道了~
@xyxmm1 苏州第一晚~
❤1
汐瑶朋友圈 pinned a photo
Photo, posted without a caption
Channel name was changed to «汐瑶朋友圈»
Channel photo updated
Channel created
Showing the 11 most recent of 11 posts we hold for @sjzxb22. 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.
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 3 October 2026 — this entry's latest reading, not the date you are reading this.
“汐瑶朋友圈” (@sjzxb22), 230 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/sjzxb22.
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.