Telegram RegisterThe public register of Telegram
Telegram profile photo for 西安外卖上门【芭芭拉】团队相册

Channel

西安外卖上门【芭芭拉】团队相册

@xianbabalavip

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

61subscribers

+8 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003956624966
TypeChannel
Username@xianbabalavip
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 October 2026
Last confirmed live12 October 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/xianbabalavip

Growth

5361578 August 2026 — 53 subscribers16 August 2026 — 55 subscribers24 August 2026 — 56 subscribers11 September 2026 — 57 subscribers30 September 2026 — 59 subscribers11 October 2026 — 59 subscribers12 October 2026 — 61 subscribers8 August 202612 October 2026
7 measurements spanning 65 days, net +8. 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 52–62 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Oct 2026, 10:0061+2
11 Oct 2026, 09:2259no change
30 Sept 2026, 16:3959+2
11 Sept 2026, 08:5557+1
24 Aug 2026, 21:0356+1
16 Aug 2026, 17:0455+2
8 Aug 2026, 07:1553first reading

Engagement

3 posts held, back to 3 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
65.0%
avg views ÷ 61 subscribers
Avg views / post
39.7
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 3 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 9 October 2026
Posts held3 (3 October 2026 – 9 October 2026)
Views total119
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Oct 2026, 09:22 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
43s
Average length
14s

Measured directly from 3 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

9 Oct 2026, 18:08 UTC18 viewsread 11 October 2026
Photo

💋西安外卖气质模特:白雪【顶奢】 #西安 #上门 #外卖 #兼职 #白雪 #芭芭拉 #170 白雪,04年,身高170,体重98斤,D罩杯,产地江苏,爱好健身运动,江苏出身的新生代模特黑马专业底子特别扎实,身高170cm的优越身形,拥有标准黄金比例地道的沙漏曲线匀称饱满,皮肤白皙,体态舒展。单凭极致身材立足职场,前凸后翘,总之气质与美貌及身材并存,性格活波开朗,举止间气质谈吐大方,不是风度,所谓窈窕淑女。君子好逑,纯天然的长相,是否能勾起你的初恋梦,初次兼职尝试,并非服务型。要求服务的请绕道。自述下体紧致,敏感体质。探索度极高。按摩手法专业,🉑亲吻😚,🉑69,🉑深喉,🉑KB,双飞,3p可尝试。制服丝袜已配齐! 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私

5 Oct 2026, 16:48 UTC49 viewsread 11 October 2026
Photo

💋西安外卖初次下水:柠柠 【高奢】 #西安 #上门 #外卖 #母狗 #柠柠 #芭芭拉 柠柠03年来自湖南,应聘前一直从事柔式采耳,初次下水,身高165,体重82斤, b+,特点白幼纯瘦,性格温柔乖巧纯天然美女零整形,聊天不冷场不做作,外表清纯眼神勾人,皮肤白皙身材纤细配上b+熊大小刚刚好,刚下身体敏感度100%,无纹身无疤痕可配合接吻69,自带情趣衣服丝袜,每天只限三个,牛大醉酒勿扰。 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私

3 Oct 2026, 17:21 UTC52 viewsread 11 October 2026
Photo

💋西安外卖学生母狗:婉婉 【高奢】 #西安 #上门 #外卖 #母狗 #婉婉 #芭芭拉 婉婉19岁来自湖南真实大学生实习兼职初下,身高171体重100斤C天然白虎胸大挺丰满性格乖巧温柔乳晕很小天然零整容超级水娃敏感潮喷体制先天Sm圣体性瘾极大口69口吻可3p可器具可遛可各种非常难遇尺度夸张喜欢别错过手慢拍大腿 【特别注意所有项目以安全为前提协商好不可强迫超出安全范畴】 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私

Showing the 3 most recent of 3 posts we hold for @xianbabalavip. 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“西安外卖上门【芭芭拉】团队相册” (@xianbabalavip), 61 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/xianbabalavip.

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.