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Channel

碗碗的魔幻城堡

@wan88451

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

2,193subscribers

+950 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1003915899530
TypeChannel
Username@wan88451
CreatedBetween 1 April 2026 and 2 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live16 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/wan88451

Growth

1,2282,2401,7342 September 2026 — 1,243 subscribers3 September 2026 — 1,228 subscribers8 September 2026 — 2,238 subscribers12 September 2026 — 2,240 subscribers16 September 2026 — 2,193 subscribers2,1932 September 202616 September 2026
5 measurements spanning 14 days, net +950. 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 1,076–2,392 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 02:192,193-47
12 Sept 2026, 00:372,240+2
8 Sept 2026, 00:362,238+1,010
3 Sept 2026, 02:271,228-15
2 Sept 2026, 04:151,243first reading

Engagement

20 posts held, back to 2 August 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
14.6%
avg views ÷ 2,193 subscribers
Avg views / post
320
7 posts measured
Reaction rate
0.127%
reactions ÷ views · ER floor
Posts in window
7
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 7 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 1 September 2026
Posts held20 (2 August 20261 September 2026)
Views total2,238
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 04:15 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
13s
Average length
13s

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

5 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
480.0%
😁120.0%

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 6 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 5 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 2 August 2026 to 1 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

1 Sept 2026, 13:29 UTC159 viewsread 2 September 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】性格很好 天然真胸 【不足】 【妹子花名】:#婉婉 【联系方式】:@ww8845 【妹子年龄】:20➕ 【验证留名】:哈哈哈 【验证时间】:9月1日 【大概位置】:萧山区 【修车水费】:1500p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9 .5本人好看 【身高身材】:身材娇小 白幼瘦 【凶器罩杯】:胸型D 软绵绵的 【湿度紧度】:挺紧 会夹 湿度可以 【环境细节】:高档小区 房间干净 好停车 【个人卫生】:有漱口 浴巾 清洗 不抽烟 没有烟味 【时间管理】:排课宽松 【服务点评】:可爱嫩妹 非常会提供情绪价值 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ ✅ 【流程小文】:妹子身材很棒,大胸翘臀,后入很爽,推荐体验

31 Aug 2026, 05:46 UTC356 views0 reactionsread 2 September 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】性格很好,天然真胸,情绪价值拉满,可爱反差强 【不足】无明显不足 【妹子花名】:#婉婉 【联系方式】:@ww8845 【妹子年龄】:20➕ 【验证留名】:明日 香 【验证时间】:8月31 【大概位置】:萧山区 【修车水费】:1500p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9.5,本人更好看,清纯里带着勾人 【身高身材】:身材娇小,白幼瘦,皮肤细腻白嫩 【凶器罩杯】:胸型D,软绵绵的天然真胸,手感极佳 【湿度紧度】:挺紧,会主动夹,湿度可以,插进去包裹感很强 【环境细节】:高档小区,房间干净整洁,好停车 【个人卫生】:有漱口、浴巾、清洗,不抽烟,没有烟味 【时间管理】:排课宽松,时间好约 【服务点评】:可爱嫩妹,非常会提供情绪价值,主动会

30 Aug 2026, 07:09 UTC431 views1 reactionsread 2 September 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】性格很好 天然真胸 【不足】 【妹子花名】:#婉婉 【联系方式】:@ww8845 【妹子年龄】:20➕ 【验证留名】:追风ing 【验证时间】:8月30 【大概位置】:萧山区 【修车水费】:1500p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9 .5本人好看 【身高身材】:身材娇小 白幼瘦 【凶器罩杯】:胸型D 软绵绵的 【湿度紧度】:挺紧 会夹 湿度可以 【环境细节】:高档小区 房间干净 好停车 【个人卫生】:有漱口 浴巾 清洗 不抽烟 没有烟味 【时间管理】:排课宽松 【服务点评】:可爱嫩妹 非常会提供情绪价值 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ ✅ 【流程小文】:老师瘦瘦的本人长得好看 性格好完全不冷场 配合

1

9 Aug 2026, 05:41 UTC≈1,150 viewsread 2 September 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】性格很好 天然真胸 【不足】 【妹子花名】:#婉婉 【联系方式】:@ww8845 【妹子年龄】:20➕ 【验证留名】:Chuck 【验证时间】:8月8 【大概位置】:萧山区 【修车水费】:3000pp 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9 .5本人好看 【身高身材】:身材娇小 白幼瘦 【凶器罩杯】:胸型D 软绵绵的 【湿度紧度】:挺紧 会夹 湿度可以 【环境细节】:高档小区 房间干净 好停车 【个人卫生】:有漱口 浴巾 清洗 不抽烟 没有烟味 【时间管理】:排课宽松 【服务点评】:可爱嫩妹 非常会提供情绪价值 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ 【流程小文】:前两天定金约了老师 上个月就关注老师了 老师是兼职的

8 Aug 2026, 10:03 UTC982 viewsread 2 September 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】天然大胸 【不足】 【妹子花名】:#婉婉 【联系方式】:@ww8845 【妹子年龄】:20➕ 【验证留名】:李白喝瑞幸 【验证时间】:8月8 【大概位置】:萧山区 【修车水费】:1500p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9 .4本人好看 【身高身材】:白幼瘦 身材非常好 【凶器罩杯】:胸型D 超软 【湿度紧度】:挺紧 会夹 湿度可以 【环境细节】:高档小区,门口就有,停车位房间干净 【个人卫生】:有漱口 浴巾 清洗 不抽烟 没有烟味 【时间管理】:排课宽松 【服务点评】:可爱嫩妹 非常会提供情绪价值 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ 【流程小文】:周末实在无聊,群里看到了妹子,服务全程贴心,特别是她细腻的小

Showing the 12 most recent of 20 posts we hold for @wan88451. 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 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“碗碗的魔幻城堡” (@wan88451), 2,193 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/wan88451.

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.