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Channel
西安上门中❗️西安外围❗️西安学生❗️西安包养
@lo080_cy98181
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
11,807subscribers
+1,365 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001487427861 |
|---|---|
| Type | Channel |
| Username | @lo080_cy98181 |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/lo080_cy98181 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 01:37 | 11,807 | -2 |
| 20 Aug 2026, 21:53 | 11,809 | +2 |
| 19 Aug 2026, 21:42 | 11,807 | +1 |
| 18 Aug 2026, 23:17 | 11,806 | -4 |
| 16 Aug 2026, 19:39 | 11,810 | +5 |
| 15 Aug 2026, 06:48 | 11,805 | +2 |
| 14 Aug 2026, 00:46 | 11,803 | +1 |
| 12 Aug 2026, 19:04 | 11,802 | +5 |
| 11 Aug 2026, 21:02 | 11,797 | -1 |
| 11 Aug 2026, 00:01 | 11,798 | +628 |
| 9 Aug 2026, 23:38 | 11,170 | +726 |
| 9 Aug 2026, 00:52 | 10,444 | +2 |
| 8 Aug 2026, 17:31 | 10,442 | first reading |
Engagement
32 posts held, back to 6 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 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.11%
- avg views ÷ 11,807 subscribers
- Avg views / post
- 131
- 32 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 32
- of 32 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.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 32 (6 August 2026 – 20 August 2026) |
| Views total | 4,188 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Aug 2026, 17:20 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
- 871
- Videos
- 145
- Links
- 268
Lifetime counters from Telegram’s own channel header, read 24 August 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
- 3m 13s
- Average length
- 11s
Measured directly from 17 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
可可 年龄19岁 身高1米65 体重90 🐻:C 服务:制服丝袜可定制舌吻 69 无套口陪洗澡 带套爱爱 各种姿势都配合 上下双粉一线天。皮肤光滑细腻皮肤超白 不议价哦 圈无套磕药醉酒
花名:莹韵 长相纯软 初恋脸 童颜巨乳 听话爱干净 超级会为你提供情绪价值哦 待宝宝们如男朋友一样。 性格温柔态度热情(主动 青春靓丽b紧粉嫩配合度高 女友式小甜心 :年纪 19岁 :体重 50kg. :身高 167cm :胸围c+
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艺名:阿狸 芳龄:19 身高:165 体重:45kg 产地:四川 特色:嫩 🐻 c (舔) (丝袜) (调情)
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彤彤 年纪:18 身高:165CM 体重:90斤 服务:kiss 陪洗 o中萧 调情 制服 丝袜 姿势配合 女友感体验 禁無套吃药 喝酒 后花园 偷拍。拔套必报警二
歪歪 年龄18 身高165 体重100 C+ 服务介绍 无套口&吻 69 鸳鸯浴 丝袜制服 调情 激情©© 姿势配合不催不机车
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小麦 年龄:20岁 身高:166 体重:47KG 服务: 陪洗、水中潇、无套麻、69 、69、 (口臭不接)、丝袜制服、 情绪价值高、会吸会夹、可御可甜、角色扮演
花名: 小圈圈 身高:160 体重82 小圈圈 年龄24 36B 服务:鸳鸯浴~指划~漫游~69~调情 吹xiao 水中xiao aiai(aiai必须带套) 高跟,制服,丝袜
Showing the 12 most recent of 32 posts we hold for @lo080_cy98181. 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 — 838,542 of 1,601,189entries 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“西安上门中❗️西安外围❗️西安学生❗️西安包养” (@lo080_cy98181), 11,807 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/lo080_cy98181.
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.