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Channel

🦄迪士尼女仆测评频道🧸

@Disney0_8

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

61subscribers

+56 since we began measuring on 30 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003989757545
TypeChannel
Username@Disney0_8
Created17 August 2026 — measured — dated from the channel’s first post
First recorded30 August 2026
Last confirmed live18 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Disney0_8

Growth

5613330 August 2026 — 5 subscribers31 August 2026 — 9 subscribers10 September 2026 — 41 subscribers18 September 2026 — 61 subscribers30 August 202618 September 2026
4 measurements spanning 19 days, net +56. 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
18 Sept 2026, 22:4061+20
10 Sept 2026, 07:3641+32
31 Aug 2026, 17:049+4
30 Aug 2026, 18:455first reading

Engagement

4 posts held, back to 17 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.1%
avg views ÷ 61 subscribers
Avg views / post
15.3
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 4 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 30 August 2026
Posts held4 (17 August 2026 – 30 August 2026)
Views total46
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 18:45 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
10s
Average length
10s

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.

Recent posts

30 Aug 2026, 15:01 UTC11 viewsread 30 August 2026
Forwarded from @tiejiaxinren

#迪士尼 #木木 出击时间:2026年8月底 店铺链接:[@Disney520](https://t.me/Disney520)] 她叫木木。 她走进来的时候,空气里那种新家具的味道忽然就有了一种仪式感。眉眼是工笔勾勒过的,清秀,舒展,眼尾却藏着一笔行书的妩媚。安静地坐着时,像博物馆里被柔光笼罩的瓷偶,端庄得几乎不真实。可当她侧过头,用那双鹿一样的眼睛望向你时,你会觉得整个童话都在对你眨了眨眼。 硬件轮廓: 身形是恰到好处的流水线条,腰际收紧,而后在胯骨处散开成一弯丰盈的月弧。B的维度并不张扬,却因干净的肩颈线条而显得格外轻盈。最妙的是一枚脐钉,细小,素净,像雪地里落下的第一粒炭火——不灼人,但你无法假装看不见它。肌肤是未经雕琢的象牙白,洁净,没有一丝多余的印记,指尖划过时,触感像读一本初版书的扉页。 关于她的语言: 她是一个不称职的公主,因为她太擅长说人间的漂亮话。 她的眼神会先你一步抵达你的内心,然后那些夸奖的话语…

30 Aug 2026, 15:00 UTC12 viewsread 30 August 2026

#迪士尼 #木木 出击时间:2026年8月底 店铺链接:[@Disney520](https://t.me/Disney520)] 她叫木木。 她走进来的时候,空气里那种新家具的味道忽然就有了一种仪式感。眉眼是工笔勾勒过的,清秀,舒展,眼尾却藏着一笔行书的妩媚。安静地坐着时,像博物馆里被柔光笼罩的瓷偶,端庄得几乎不真实。可当她侧过头,用那双鹿一样的眼睛望向你时,你会觉得整个童话都在对你眨了眨眼。 硬件轮廓: 身形是恰到好处的流水线条,腰际收紧,而后在胯骨处散开成一弯丰盈的月弧。B的维度并不张扬,却因干净的肩颈线条而显得格外轻盈。最妙的是一枚脐钉,细小,素净,像雪地里落下的第一粒炭火——不灼人,但你无法假装看不见它。肌肤是未经雕琢的象牙白,洁净,没有一丝多余的印记,指尖划过时,触感像读一本初版书的扉页。 关于她的语言: 她是一个不称职的公主,因为她太擅长说人间的漂亮话。 她的眼神会先你一步抵达你的内心,然后那些夸奖的话语…

30 Aug 2026, 06:37 UTC23 viewsread 30 August 2026
Forwarded from @Shayulajiao12345678Video

#迪士尼 #木木 出击时间:2026年8月下 店铺链接:[@Disney520](https://t.me/Disney520) BGM:ZAYN & Zhavia Ward - A Whole New World 🧸 颜值:校花级别。眉眼舒展,脸型清秀,鼻梁线条干净,眼尾带着一点柔媚。安静坐着时有种端庄的公主感,眨着大眼睛看人时,又会忽然变成一只懵懂的小鹿。 👗 身材:B,腰线匀称,屁股又大又圆。腹部有一枚很小的脐钉,像落在白纸上的一点墨,尺寸克制,却很会吸引目光。 ✨ 皮肤:肤色、软度和滑度都属正常水平。身上干净,没有纹身。 🎀 态度:标准夸夸党。说话温柔,眼神真诚,服务意识也不错。她认真看着你说好听话的时候,很容易让人心甘情愿地相信。 🔒 尺度:标大。亲密互动给得自然,往下暂时接受度有限。 ⚡ 敏感度:很好。反应明显,害羞起来也很有画面。 💬 情绪价值:很高。会夸,会接话,也懂得用眼神把距离迅速拉近。 ╔…

Showing the 4 most recent of 4 posts we hold for @Disney0_8. 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 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“🦄迪士尼女仆测评频道🧸” (@Disney0_8), 61 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Disney0_8.

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.