Channel
@shanshan8776
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
667subscribers
+43 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003955579318 |
|---|---|
| Type | Channel |
| Username | @shanshan8776 |
| Created | Between 1 April 2026 and 24 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/shanshan8776 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 11:38 | 667 | +36 |
| 7 Aug 2026, 11:08 | 631 | +7 |
| 6 Aug 2026, 20:05 | 624 | first reading |
16 posts held, back to 24 July 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 pageof Telegram’s post history, 20 posts per page.
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 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 16 (24 July 2026 – 6 August 2026) |
| Views total | 7,239 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:05 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.
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 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 2reactions 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 24 July 2026 to 6 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.
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深圳蟹堡王出餐报告 https://t.me/szxwb 验证留名: 东方财富 上课时间: 8.4 位置坐标: 南山南油 老师花名: 闪闪 上课花费: 1000pp 联系方式: @shanshan5988 服务内容： xcz 上课过程： 中了白嫖老师休息了，终于等到开课，很久没出击和老师线上聊得不错，又加了一课，约好时间出击，从货梯上门安全无门禁刷卡，进门见到老师人照8.5，御姐类型，坐下聊了会儿天交了水费等待老师放好水后就去洗，帮洗认真，帮擦身，擦干到二楼躺好等待服务，选了一套黑色情趣，全程躺平等着老师服务，👅🐻技术很好，酥酥麻麻的，很敏感，一路向下含住弟弟开始忘情的吞吐，甚是敏感，感觉差不多了就戴套进入，试了好几种姿势，也是成功出水。休息一会儿就去简单冲洗，和老师躺着聊天，很骚的姐姐，过了一会儿又开始战斗，一直浪叫，水多，虽然第二次没出水，但是体验很好，也是放弃了，冲洗下穿衣服就溜了。 优点缺点： …
❤1
深圳蟹堡王出餐报告 https://t.me/szxwb 验证留名：寺北 上课时间：8.5 位置坐标：南山 老师花名：闪闪 上课花费：1000pp(优惠) 联系方式：@shanshan5988 服务内容：课表上都有 上课过程：课室就在地铁口还挺方便，进门老师笑着迎接，帮忙拿包递水，看着人照没差(参考老师频道女仆抽奖的那张照片)，身高老师说是162，属于少妇类型，也是比较满意就交了水费。然后开始帮忙洗，水中萧，配合老师的抚摸和叫声很有感觉。差不多后就帮忙擦干上楼，我都没多想就准备躺下，没想到老师叫我先别急，准备了一系列东西：情趣内衣/丝袜/小音响/氛围灯，然后开始AB面抚摸舔舐，实在美妙~后面躺下开始舌头游龙加口，硬的不行后开始做，没想到老师下面很紧，可惜我昨天自己打了两发飞机，状态不佳。后面老师说高潮了，摸了老师下面水确实很足。就换了手打，跟老师舌战群乳，老师的唇特别Q弹，老师对于各部位也是没那么多限制，不像有些老师放不开，这…
起床了 老公们 可以提前约了
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闪闪的朋友圈 pinned a photo
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闪闪的朋友圈 pinned a video
Showing the 12 most recent of 16 posts we hold for @shanshan8776. 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 — 158,109 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.
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.
Named by 11 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.
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.
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.
“闪闪的朋友圈” (@shanshan8776), 667 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/shanshan8776.
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.