Telegram RegisterThe public register of Telegram

Channel

铲铲🏀比赛记录📝

@wc1000glsjsaaa

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

4,203subscribers

+71 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003016859785
TypeChannel
Username@wc1000glsjsaaa
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/wc1000glsjsaaa

Growth

4,1324,2034,167.56 August 2026 — 4,132 subscribers7 August 2026 — 4,134 subscribers9 August 2026 — 4,192 subscribers12 August 2026 — 4,203 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +71. 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 4,121–4,214 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 09:544,203+11
9 Aug 2026, 20:214,192+58
7 Aug 2026, 05:244,134+2
6 Aug 2026, 20:054,132first reading

Engagement

11 posts held, back to 26 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.6%
avg views ÷ 4,203 subscribers
Avg views / post
824
6 posts measured
Reaction rate
0.051%
reactions ÷ views · ER floor
Posts in window
6
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 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 8 August 2026
Posts held11 (26 June 20268 August 2026)
Views total4,941
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:17 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
14s
Average length
14s

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

8 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
675.0%
🔥112.5%
🤪112.5%

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 7 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 8reactions 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 26 June 2026 to 8 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

8 Aug 2026, 02:20 UTC122 viewsread 8 August 2026
Photo

【比赛目录预览】 🌟🌟🌟🌟🌟🌟 1️⃣成都楼凤资源群 2️⃣老师防骗指南 3️⃣狼友防骗指南 4️⃣25年比赛汇总 5️⃣卖分汇率表 6️⃣账户限制解封(报铲9折) 有事戳➡️@Wc1000glsjsa

2 Aug 2026, 10:09 UTC581 views1 reactionsread 8 August 2026
Forwarded from @cdline1youxuanPhoto

🎰 成都优选修车给大家发福利啦! 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-成都修车优选 └ 🔑 发送口令﹝我爱修车﹞ 🎫 加入-成都严选 专业成都外围 🎫 加入-成都周周验证精选外围 🎫 加入-成都修车优选榜单 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 中圈通用300优惠券 × 2 💰️ 优选积分520 × 8 💰️ 口令红包20 × 10 💰️ 口令红包52 × 2 ⚠️ 抽奖说明: 1.抽奖前设置好用户名 2.中奖后请48h内联系兑奖人兑奖,逾期不兑! 3.炸号,退群者不予兑奖 5.优惠券兑换联系 @zhouzhou2288 积分请联系 @baemon520 📅 开奖日期:(北京时间) 2026年08月08日 20时00分00秒

1

27 Jul 2026, 00:46 UTC≈1,040 viewsread 8 August 2026

【妹子花名】:夏夏 【妹子车牌】:@xiaxia2528 【验证留名】:工兵铲🐎2️⃣2️⃣🔫 【验证时间】:7.19 【所在位置】:天府三街 【修车水费】:6P 10PP 【是否代聊】:自聊 【身高身材】:身高165㎝,体重53㎏,无纹身,皮肤肤色偏黄,身材正常紧致无赘肉 【妹子年龄】: 99年的川妹纸 【湿度紧度】: 包子逼,颜色偏褐,又湿又润又紧又会夹还会吸,毛量适中,无异味 【颜值相似】:9分相似程度,去掉美颜,磨皮就是本人了 【凶器罩杯】:🐻C,乳头褐色小小一粒,乳晕小小一圈浅褐色,乳头,微科技奶子还是软软的胸口稍硬 【环境卫生】:干净卫生,地铁方便,自住公寓,房间生活气息很浓 【服务内容】:🛀水中挑逗调情🐻推臀蹭腿夹(非常绝),水中萧,🐻推,口砂(髋关节都被吸开了),👅漫,鼻吸吸到👂里的爱意,🐍👄,裸口,69,舔蛋蛋,舔咪咪,调情聊天,做爱挑逗,啪啪 【机车行为】:🈚 【优点缺点】:情绪价值拉的很🈵进门就是抱抱

27 Jul 2026, 00:44 UTC778 viewsread 8 August 2026
Photo

👉🏻 夏夏 心尖尖老师❤️邻家小御姐,人照几乎一致,进门就感受到情绪价值不一样,服务都是惊喜,粘人的小妖精。

24 Jul 2026, 04:16 UTC≈1,040 viewsread 8 August 2026

✈️会员150一年 限时今天抓紧找我😼 这个价格灰常便宜了

5 Jul 2026, 05:13 UTC≈2,450 views0 reactionsread 8 August 2026

【妹子花名】:雲飞 【妹子车牌】:@yunfei06 【验证留名】:工兵铲🐎2️⃣1️⃣🔫 【验证时间】:2026.7.4 【所在位置】:南城都汇 【修车水费】:7P 12PP 【是否代聊】:自聊 【身高体重】:身高170㎝,体重45㎏,人瘦奶大,硕果累累,无纹身,皮肤白皙嫩滑 【妹子年龄】:99年湖北妹妹 【湿度紧度昆感】:老师的户型🦋,颜色外褐内分,又湿又紧又润,周围毛量减少 【颜值相似】:人照相似程度9分,颜值好看,气质御姐,ootd都市名媛 【凶器罩杯】:🐻🌸,半碗大灯状完全不下垂,乳头颜色褐色,小🍇,胸部手感柔软酥胸🈚科技,纯天然。 【环境卫生】:干净卫生大套二,夏日温度室内凉爽不冻。地铁方便,停车方便。 【服务内容】:🛀,擦干,指划,制服任选,👠,简单按摩,🐻推,毒🐉,臀推,6️⃣9️⃣,口爆,👅漫,舔咪咪,舔鸡鸡,舔🥚🥚,🐍👄 【机车行为】:🈚 【优点缺点】:7P老师的行业标杆,颜值酷似李一桐明星脸,硕果累累

5 Jul 2026, 05:10 UTC≈1,770 views2 reactionsread 8 August 2026
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👉🏻 云菲 心尖尖老师❤️湖北气质御姐,颜值酷似李一桐笑起来迷死人,服务全面态度情绪价值都是很顶,7P行业标杆,修长的雪白美腿,不下垂的原装大奶,值的一去。 回锅2次

2

1 Jul 2026, 10:39 UTC≈1,900 views2 reactionsread 8 August 2026
Photo

感谢宥希老师的🥭 大吉大利生意兴隆财源广进 也祝各位狼友出击顺利

🔥1🤪1

26 Jun 2026, 02:57 UTC≈2,100 views3 reactionsread 8 August 2026

【妹子花名】:#妮妮 【妹子车牌】:@wan0500 【验证留名】:工兵铲🐎2️⃣0️⃣🔫 【验证时间】:26.6.24 【所在位置】:🥡🏠 【修车水费】:4P 7PP 【是否代聊】:自聊 【身高体重】:身高160㎝体重55㎏,锁骨有纹身,小纹身一串,皮肤嫩滑, 【妹子年龄】:28浙江妹妹 【湿度紧度昆感】:老师户型一线天,颜色浅褐色,又湿又润又会夹,白🐯 【人照相似】:人照相似程度8 【颜值打分】:7.5分(6分及格,8分班花,9分 小网红,碰见想要微信那种) 【凶器罩杯】:🐻38🔥,乳头颜色浅粉色,乳晕厚厚一圈浅粉色,胸部手感柔软,🈚科技,纯天然 【环境卫生】:自己家里,外卖上门绝对安全 【服务内容】:🛀,擦干,调情,裸口,舔咪咪,舔鸡鸡,舔🥚🥚,乳交(一绝),手推(二绝),啪啪 【机车行为】:🈚 【优点缺点】:优点性价比极高开4P属于女菩萨了嘛,🐻🐻原装大奶无科技,服务乳交和手推加起来5分钟估计就交代了。4米+车费就

3

26 Jun 2026, 02:52 UTC≈1,610 views0 reactionsread 8 August 2026
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👉🏻 妮妮 Bbw御少老师,性价比极高,乳交手推一绝 回锅2次

Showing the 11 most recent of 11 posts we hold for @wc1000glsjsaaa. 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

Citation-graph rank — 826,503 of 1,350,102entries 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“铲铲🏀比赛记录📝” (@wc1000glsjsaaa), 4,203 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/wc1000glsjsaaa.

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.