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Channel
上海道友福利
@shdaoyou
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,206subscribers
+805 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001794216349 |
|---|---|
| Type | Channel |
| Username | @shdaoyou |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/shdaoyou |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 18:17 | 15,206 | +5 |
| 3 Sept 2026, 05:58 | 15,201 | -3 |
| 1 Sept 2026, 21:34 | 15,204 | +16 |
| 31 Aug 2026, 17:55 | 15,188 | +26 |
| 30 Aug 2026, 19:47 | 15,162 | +47 |
| 29 Aug 2026, 17:27 | 15,115 | +17 |
| 28 Aug 2026, 18:28 | 15,098 | +42 |
| 27 Aug 2026, 14:57 | 15,056 | +34 |
| 26 Aug 2026, 16:12 | 15,022 | +28 |
| 25 Aug 2026, 13:12 | 14,994 | +16 |
| 24 Aug 2026, 12:03 | 14,978 | +204 |
| 22 Aug 2026, 22:06 | 14,774 | +23 |
| 21 Aug 2026, 10:07 | 14,751 | +22 |
| 20 Aug 2026, 11:42 | 14,729 | +14 |
| 19 Aug 2026, 11:16 | 14,715 | +1 |
| 18 Aug 2026, 14:43 | 14,714 | +11 |
| 17 Aug 2026, 14:24 | 14,703 | +20 |
| 16 Aug 2026, 06:35 | 14,683 | +22 |
| 14 Aug 2026, 18:56 | 14,661 | +10 |
| 13 Aug 2026, 12:17 | 14,651 | first reading |
Engagement
64 posts held, back to 7 August 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.25%
- avg views ÷ 15,206 subscribers
- Avg views / post
- 798
- 53 posts measured
- Reaction rate
- 0.117%
- reactions ÷ views · ER floor
- Posts in window
- 54
- of 64 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 29 of 53 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 64 (7 August 2026 – 3 September 2026) |
| Views total | 42,275 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:55 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
- 5m 23s
- Average length
- 10s
Measured directly from 34 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
32 reactions across 23 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 87.5% | |
| 🌚 | 4 | 12.5% |
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 31 of the 64 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 7 August 2026 to 3 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
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#福利 #老师 #积分兑换 普陀 舒舒 福利价1100P (原价1300P) 福利价1800PP (原价2200PP) 截止日期:9月3日23:59止 1、点击 >> 兑换 获取兑换码。 2、发送兑换码给老师 @ssiu67 预约。 3、出击完成后,须对老师做出30字以上评价。 点击>>加入道友群获取积分
❤1
#福利 #老师 #积分兑换 普陀 姿姿 共3个名额 福利价1200P (原价1400P) 福利价2000PP (原价2200PP) 截止日期:9月3日23:59止 1、点击 >> 兑换 获取兑换码。 2、发送兑换码给老师 @zizimeimei 预约。 3、出击完成后,须对老师做出30字以上评价。 点击>>加入道友群获取积分
❤3
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上海道友福利 pinned a photo
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#福利 #老师 #积分兑换 静安 泡芙 福利价1000P (原价1200P) 福利价1800PP (原价2000PP) 截止日期:9月2日23:59止 1、点击 >> 兑换 获取兑换码。 2、发送兑换码给老师 @x_paofu520 预约。 3、出击完成后,须对老师做出30字以上评价。 点击>>加入道友群获取积分
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🌚1
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❤1
Showing the 12 most recent of 64 posts we hold for @shdaoyou. 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 12 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.
@tgxbdd · 29,121146 posts上海中圈评价
@shzqfk · 1,9874 posts芝芝不含糖
@zhizhiai69 · 4142 posts极品宝宝
@bb9725 · 3611 post❤️徐汇小毛毛❤️瑜伽一字马可上门
@maomao13140 · 1,8991 post普陀林梦
@muzi2516 · 6091 post上海 水多多💦
@sdd1233 · 2691 post彤彤的朋友圈
@tongtongpy · 8291 post静雪🌹🌹 私人频道
@WenW99812 · 1,1411 post闵行雪儿御姐173介绍
@xerxx14 · 2251 post小柳相册频道
@xhjf2269 · 781 post☁️ 小亦菲🏘️
@yunduo2566 · 571 post
Names
Channels on the register whose handles appear in this channel's posts.
@tgxbdd · 29,12142 posts通告小当家
@shtgxdj_bot · 12,29029 posts全国包养萝莉/处女/学妹(广告频道)
@hanhan1007 · 12 posts白月光的小屋
@baiyuegab · 2291 post幼师可可的后宫💐
@kekejiaoshi · 2,3591 post上海半の岛日式裸身泡泡浴抓龙筋
@mltokoyo · 18,3401 post诗婉㊙️密小花园
@shishiwanwan · 5,3731 post上海(忘忧阁 )中圈外围
@shwangyouge · 10,7231 post欣欣后宫
@wxinh456 · 2221 post闵行雪儿御姐173介绍
@xerxx14 · 2251 post江小白的后宫
@xiaobaihaorp · 1741 post普陀白小雪06年频道介绍
@xiaobaixx31 · 2091 post浦东小怪兽(内衣👙模特)
@xiaoxiao68221 · 8,5311 post⭕🍑会所介绍 技师点评
@yaochiFK · 4,9001 post芝芝不含糖
@zhizhiai69 · 4141 post
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“上海道友福利” (@shdaoyou), 15,206 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/shdaoyou.
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.