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Channel

杭州 拱墅区 迪丽热巴的家

@dnjdooi1

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

5,851subscribers

+5,648 since we began measuring on 4 October 2026

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

Register entry

Telegram ID-1003926841992
TypeChannel
Username@dnjdooi1
Description私信 @djpl1oi 机器人🤖 @dllbabot
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 October 2026
Last confirmed live4 November 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/dnjdooi1

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 20 October 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

2037,5623,882.54 October 2026 — 203 subscribers8 October 2026 — 6,249 subscribers8 October 2026 — 6,249 subscribers13 October 2026 — 7,562 subscribers16 October 2026 — 5,979 subscribers20 October 2026 — 5,798 subscribers23 October 2026 — 5,847 subscribers25 October 2026 — 6,676 subscribers28 October 2026 — 6,544 subscribers1 November 2026 — 5,866 subscribers4 November 2026 — 5,851 subscribers5,8514 October 20264 November 2026
11 measurements spanning 31 days, net +5,648. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 13:175,851-15
1 Nov 2026, 05:105,866-678
28 Oct 2026, 19:486,544-132
25 Oct 2026, 21:086,676+829
23 Oct 2026, 04:195,847+49
20 Oct 2026, 07:065,798-181
16 Oct 2026, 22:315,979-1,583
13 Oct 2026, 23:167,562+1,313
8 Oct 2026, 18:006,249no change
8 Oct 2026, 10:216,249+6,046
4 Oct 2026, 12:17203first reading

Engagement

16 posts held, back to 8 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
29.8%
avg views ÷ 5,851 subscribers
Avg views / post
1,740
15 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
15
of 16 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held16 (8 October 2026 – 4 November 2026)
Views total26,167
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 16:05 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.

What this channel posts

Photos
20
Videos
3
Links
10

Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
8m 14s
Average length
4m 07s

Measured directly from 2 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

28 Oct 2026, 06:47 UTC≈1,910 viewsread 4 November 2026

我在杭州同学会上榜啦! 老师免费上榜,海量六折工兵 群内大量现金红包,报销券等你来抽! https://t.me/Hz_txh

27 Oct 2026, 13:33 UTC≈1,860 viewsread 4 November 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:良好 9分 【出击时间】:10月26日 【老师花名】:#迪丽热巴 @djpl1oi 【出击留名】:SUN A 【开课位置】:拱墅 【修车水费】:工兵P 【人照评分】:9分 【颜值评分】:9分 【身材评分】:9分 【服务评分】:8分 【态度评分】:9分 【环境评分】:8分 【综合评分】:9分 【过程描述】: #环境卫生: 停车方便,房间整洁 有一次性浴巾,有漱口水 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 人照相似,颜值出众 身高腿长 巨乳肥臀 皮肤手感嫩滑 #流程细节:闲逛发现工兵一个速度拿下 约好时间 直接出发 皋亭坝附近公寓楼 地下室好停车 电梯要走客梯 遥控上楼 妹妹已经开好门 身穿黑色长裤棕色长袖 勾勒出姣好的身材 丰乳肥臀 坐在…

27 Oct 2026, 10:47 UTC≈1,580 viewsread 4 November 2026

我在杭州御女阁免费上榜啦,群内氛围轻松,不强制做活动,永久上榜! 👑👑认准Telegram官方认证防伪标志 👑 超多好看的小姐姐都在这里上榜!💖💖💖 https://t.me/hangzhou_777

25 Oct 2026, 04:47 UTC≈2,240 viewsread 4 November 2026
Forwarded from @hzjjh_report

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:9分﹣好评 【出击时间】:10月22日 【老师花名】:#迪丽热巴 @djpl1oi 【出击留名】:天赐良缘 【开课位置】:上城区 【修车水费】:工兵p 【人照评分】:9分 【颜值评分】:9分 【身材评分】:8分 【服务评分】:8分 【态度评分】:8分 【环境评分】:9分 【综合评分】:8.5分 【过程描述】: #环境卫生: 公寓式小区,里面干净卫生一次性物品全都有很不错 #老师优缺点: 优点:开课准时,排课宽松,年轻嫩妹,可舌吻,可拍不露脸视频 缺点: 喜瘦勿扰妹妹是大码bbw #硬件软件: 颜值很可爱,肤色偏白,皮肤很光滑,胸c左右,bbw #流程细节: 看到基金会又上新工兵,刚好我喜欢微胖的女孩,这个还可以于是立即报名出击,约好时间去到妹妹的闺房,一开门一个大号bbw映入脸庞,身材看着也还可以,颜值也不错,于是立即洗浴一…

Showing the 12 most recent of 16 posts we hold for @dnjdooi1. 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.

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 7 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“杭州 拱墅区 迪丽热巴的家” (@dnjdooi1), 5,851 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/dnjdooi1.

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.