南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】:小青龙 【老师花名】:OPOP 【联系老师】:👉点击直达老师👈 【人照得分】:8 【颜值得分】:9 【身材得分】:9 【服务得分】:10 【态度得分】:10 【环境得分】:8 【验证时间】:2026-08-31 17:12:43 【过程描述】:出差几天邪火蹭蹭冒,搜本地出击评价刷到老师,好奇看了下频道劲爆视频邪火更旺了,卡在返程前抓紧约了头课,gzs好找,ls亲自带上楼,然后从洗漱开始就在享受无微不至的服务,总算是明白ls为啥人气这么高了。可惜就是忘了69,而且不凑巧ls没办法穿c,只能期望下次出差还有机会了。 【总结】服务特别棒,无微不至,口活夯到爆,平等嫉妒所有能约到ls夜课的本地ly 【综合评价】:棒 【预约截图】:已上传 【报告提交】:@xiuchennbot

Channel
谢谢宝子们哒爱心❤️
@opop563
On this record: Growth · Engagement · Posts · Citations · Cite this entry
250subscribers
+7 since we began measuring on 1 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003969973476 |
|---|---|
| Type | Channel |
| Username | @opop563 |
| Created | Between 1 April 2026 and 29 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 1 September 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/opop563 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 23:25 | 250 | +7 |
| 1 Sept 2026, 03:15 | 243 | no change |
| 1 Sept 2026, 03:00 | 243 | first reading |
Engagement
19 posts held, back to 29 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
- 73.8%
- avg views ÷ 250 subscribers
- Avg views / post
- 184
- 19 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 19 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 1 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 19 (29 August 2026 – 31 August 2026) |
| Views total | 3,504 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 03:15 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.
Recent posts
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】:匿名 【老师花名】:OPOP 【联系老师】:👉点击直达老师👈 【人照得分】:10 【颜值得分】:9 【身材得分】:10 【服务得分】:10 【态度得分】:10 【环境得分】:9 【验证时间】:2026-08-31 14:11:33 【过程描述】:老师很开朗活泼,过程就没有冷场过,属于是比较俏皮的性格,不管是相约的过程还是说做的过程中,老师跟我保持的身份从来不是无感的客与商的关系,老师对待犹如热恋中的情侣一样,老师口的很舒服,也不会像其他老师一样口一会就停,被OP老师含着的时候一直都是我先受不了,后续做的过程中老师也是小情话不断,再加上cos服真的很勾人,里面简直就是水帘洞,而且还非常紧,进去就好像被吸住一样,过程中不管是老师的娇喘还是老师妖娆的动作,都让我想进去更深深一点,老师也非常配合的,出完差回来会再刷的 【综合评价】:优 【预约截图】:…
https://t.me/opop563/709 https://t.me/opop563/713 https://t.me/opop366/48234?single 谢谢谢谢谢谢谢宝宝哒一张小费🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰
今天🈵,🉑🈷️明天
国庆节已经预约掉一半啦包耶或者白天哒,还有一半的位置
最近都戴不了假发哈……应该十月份十一月份才行,哈哈哈哈哈哈
谢谢谢谢谢谢谢头课宝宝的一张小费❤️❤️❤️❤️❤️❤️❤️❤️
谢谢谢谢谢谢昨天第二个包时宝宝哒喜欢,昨天第一个包时的宝宝还定了国庆节的包时哇咔咔咔咔咔🥰🥰🥰🥰🥰🥰
谢谢谢谢谢谢谢谢谨慎宝宝哒安慰奖😭😭😭😭😭😭😭😭😭
太多人问包耶了,你们看这条就好了 https://t.me/opop563/822
https://t.me/opop563/822
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】:匿名 【老师花名】:OPOP 【联系老师】:👉点击直达老师👈 【人照得分】:10 【颜值得分】:9 【身材得分】:9 【服务得分】:10 【态度得分】:10 【环境得分】:10 【验证时间】:2026-08-30 18:17:50 【过程描述】:老师可以的,懂得聊天,不会冷场。服务态度也好 【综合评价】:优 【预约截图】:已上传 【报告提交】:@xiuchennbot
Showing the 12 most recent of 19 posts we hold for @opop563. 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
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“谢谢宝子们哒爱心❤️” (@opop563), 250 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/opop563.
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.