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Channel

杭州911报告📮

@chaodaoD

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

34,753subscribers

+2,352 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001602691456
TypeChannel
Username@chaodaoD
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/chaodaoD

Growth

32,40134,75333,5777 August 2026 — 32,401 subscribers7 August 2026 — 32,476 subscribers8 August 2026 — 32,726 subscribers10 August 2026 — 33,053 subscribers10 August 2026 — 33,200 subscribers11 August 2026 — 33,454 subscribers12 August 2026 — 33,719 subscribers14 August 2026 — 34,254 subscribers15 August 2026 — 34,753 subscribers7 August 202615 August 2026
9 measurements spanning 8 days, net +2,352. 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 32,048–35,106 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 18:3734,753+499
14 Aug 2026, 07:1634,254+535
12 Aug 2026, 20:1433,719+265
11 Aug 2026, 21:0833,454+254
10 Aug 2026, 23:4133,200+147
10 Aug 2026, 00:0233,053+327
8 Aug 2026, 23:1232,726+250
7 Aug 2026, 21:2732,476+75
7 Aug 2026, 19:1832,401first reading

Engagement

38 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.30%
avg views ÷ 34,753 subscribers
Avg views / post
451
38 posts measured
Reaction rate
0.22%
reactions ÷ views · ER floor
Posts in window
38
of 38 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 12 of 38 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 15 August 2026
Posts held38 (25 July 202615 August 2026)
Views total17,156
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 13:57 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

13 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 76.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1076.9%
👍215.4%
💯17.69%

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 12 of the 38 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 25 July 2026 to 15 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

15 Aug 2026, 12:01 UTC54 viewsread 15 August 2026

【老师艺名】苏小白 【联系方式】 @susu001122 【上课地址】 上门 【上课价位】2600p 【验证留名】李委员 【验证时间】8.14 【颜值身材】10 【服务内容】课表的 【服务态度】满分 【优点缺点】🈚️ 【体验细节】老师本人很好看,眼睛大,笑起来很美,声音很好听,本人身上没有多余一点肉肉,手感很舒服很有弹性,胸型很好看的像圆锥,头头粉嫩,口活可以给到夯到爆,忍不了也吃了老师的逼逼,下面也很粉嫩,水多,很紧很润,各种姿势屌感都很佳,后入大屁股非常🈶视觉冲击,今天状态不佳,十多分钟就缴械投降,感觉不满足,继续第二轮,让老师舔,很配合,被她舔几下,弟弟又硬了。老师非常努力的又搞出来了,太过瘾啦, 温馨提示: 报告仅供参考 备注: 报告出自911

14 Aug 2026, 15:23 UTC191 views0 reactionsread 15 August 2026

【老师艺名】莹莹 【联系方式】 @Lang_Yingying 【上课地址】拱墅 【上课价位】2500/pp 【验证留名】帕梅 【验证时间】8月14日 【颜值身材】完美女友 【服务内容】内容很全 【服务态度】不催不机车 【优点缺点】无 【体验细节】 #硬件分析 人照一致,真人白皮。很瘦,个子大概165,眼睛很大,可爱类型 #流程黄文 雨天出击,按时进房间。瘦瘦高高的小美女,见面一开始有点拘谨。有陪浴,但是不幸的是浴霸坏了,冷水冲了一下开始。嫩妹三件套,亲胸,🐍,口。传教士一边亲一边动,下面很紧水很多,莹莹会闭上眼睛做爱,提议颠勺。最后抱着腿看着她紧闭的双眼冲刺收工。结束后抽了个烟聊了聊天,本来准备穿衣服走了,莹莹挽留我坐下再聊一会,态度挺好的。 #课后感 颜值高的嫩妹,态度很好。 体验感很好,值得返。 备注: 报告出自911

13 Aug 2026, 06:26 UTC147 viewsread 15 August 2026

【验证留名】:本人太帅 【验证时间】:8.11 【妹子花名】:曼曼 【联系方式】: @manman520250 【所在位置】:酒店 【修车水费】:1600p 【照片相似】:9 【颜值身材】:9 【凶器罩杯】:D 【服务项目】:课表都有 【服务详情】:看到是自己喜欢的妹妹,果断出击,给了定,等了十多分钟,妹妹就到了,没踩雷,胸大皮肤白,是本人,第一眼看到差点流鼻血。 到房间后,先去自己去快速洗了个澡上床,因为我喜欢单独洗澡比较快,虽然老师也一直说帮我洗,我还是拒绝了,自己洗。热场聊天得知老师是刚做这行,没想到还是个新人。ls一袭黑色蕾丝情趣睡衣,在昏暗的红色灯光下显得更加性感。妹妹温柔地俯身向我袭来,亲到脖子的时候,我拨开老师头发,嘴巴轻轻撩拨耳垂,手也没有闲着,在妹妹肌肤上不断游走,隔着内裤摸到小穴,妹妹身体一颤,娇嗔声音格外好听,不错,还是个敏感体质。我们互相抚摸调情,向妹妹确认了有舌吻后,我起身将她跨坐在我腿上

12 Aug 2026, 15:13 UTC353 viewsread 15 August 2026

老师名字:妍妍 修车位置:上门 老师电报:@yanyan9o 修车留名:12 修车时间:8.12 修车价格:1500 身高年龄:166 19嫩妹 胸围体重:胸B+ 90斤左右 修车服务:参考课表 修车细节:简单寒暄,洗漱完成,开始正题。刚躺下,小姐姐便含住了它,丝滑。舌头围绕柱体打卷,舌尖时不时顶着马眼,直至心灵,眼神时不时的对视,和低声娇喘让人酥麻。预热,带上雨伞,小姐姐扶柱坐下,我也不禁哇得一声,是因为太紧了。一手扶住她的小腰,眼神交错,淫声起伏,伴随上下,前后的抽插,让弟弟更加膨胀转战沙发,面向我坐下,双手托住翘臀,深深浅浅,高声低淫,沙发上记录全部的交合,声色犬马,进进出出,是爱的错觉。妹妹一瞬间,声音不断提高,然后摊坐在我的身上,我也累了,准备输出最后的子弹,选择直接后入,一手摸着妹妹的胸,一手轻轻拍着翘臀,眼睛直视抽插的动作,在阵阵惨叫声的鼓励下冲刺,缴枪。重新躺在床上,妹妹光着身子,靠在腿上聊了日常.... 优

11 Aug 2026, 12:42 UTC686 viewsread 15 August 2026

【验证时间】:8.10 【验证留名】:小庄哥 【妹子花名】:琳琳 【联系方式】:@linlin0080 【所在位置】:拱墅 【修车水费】:1700p 【颜值身材】:b奶高颜值嫩妹,高挑 【优点缺点】:听话女友感满满,颜值好看,缺点就是好多都不太会,新人 【凶器罩杯】:目测罩杯b,很紧 【服务项目】:课表都有, 舌吻、69、洗吹做 【服务详情】:几天没出击了,今天约了拱墅的琳琳老师,来到拱墅之后,老师来红了,鸽了我😭出师不利,就在群发撩老师,琳琳老师回我了,早就听说琳琳老师是名师,果断交定金出击,到了之后被罚站15分钟🥹后面琳琳睡醒了,就指引上楼了,一进门就被琳琳老师的颜磕到了,是我的菜,看琳琳老师的频道我还以为是个萝莉风的老师。坐下喝水抽根烟,跟琳琳瞎聊会,就上二楼洗澡,水中萧一流,有舌钉感觉很不错,上床后,琳琳就想变了一个人,骚里骚气的,一副要吃掉我的样子,口技和女上真的没话说,一流水准。今天小坤坤状态很好,桩了琳琳老师20分

Showing the 12 most recent of 38 posts we hold for @chaodaoD. 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 — 263,132 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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

“杭州911报告📮” (@chaodaoD), 34,753 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/chaodaoD.

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.