(非活跃群友,可信度低。) 【推荐指数:⭐️⭐️⭐️⭐️🌙 【日期】:20261108 【修车编号】: #NBTG1200 【美女昵称】:#小桃兔兔 【验证人】:兰德酷路泽 【地 区 】:鄞州 【联系方式】:@Kavyasenthi 【见面感觉】:可爱御姐➕嫩妹 【室内光线】:明亮 【技术含量】:8分 【价格 】 600p 【安 全 性】:隐秘,小区房 【年龄】:20左右 【身高】:170 【体重】:130 【凶器,是否假奶】 真奶 B 【人照相似,真人打几分】:8分,图片有美颜,验证视频9分像 【服务过程】: 闲来无事,准备出击老早就瞄上了小桃老师,那还说啥直接冲,按照老师给的位置遥控上楼见到本人,照片一致,我甚至觉得本人更好看一些,1米7的身高微胖型,但是感觉肉都长到屁股上去了,不过这正符合我的口味,老师给人感觉很温柔,闲聊两句直接洗澡,上床开始服务,胸推,臀推,毒龙都有的,由于老师身材太过火辣,导致我下…

Channel
宁波修车公开榜
@nbgkb888
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
22,735subscribers
+818 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001163738906 |
|---|---|
| Type | Channel |
| Username | @nbgkb888 |
| Description | 为浙B而战 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/nbgkb888 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 13:40 | 22,735 | +30 |
| 7 Nov 2026, 08:05 | 22,705 | +60 |
| 6 Nov 2026, 06:05 | 22,645 | -59 |
| 5 Nov 2026, 07:47 | 22,704 | +12 |
| 4 Nov 2026, 09:29 | 22,692 | +29 |
| 3 Nov 2026, 05:47 | 22,663 | +19 |
| 2 Nov 2026, 06:00 | 22,644 | +27 |
| 1 Nov 2026, 03:57 | 22,617 | +30 |
| 31 Oct 2026, 05:49 | 22,587 | -99 |
| 30 Oct 2026, 08:29 | 22,686 | +76 |
| 29 Oct 2026, 08:27 | 22,610 | +34 |
| 28 Oct 2026, 09:00 | 22,576 | +30 |
| 27 Oct 2026, 08:27 | 22,546 | +31 |
| 26 Oct 2026, 06:06 | 22,515 | +37 |
| 25 Oct 2026, 03:29 | 22,478 | +38 |
| 24 Oct 2026, 01:06 | 22,440 | -228 |
| 23 Oct 2026, 02:46 | 22,668 | +25 |
| 22 Oct 2026, 00:15 | 22,643 | +29 |
| 20 Oct 2026, 21:09 | 22,614 | -24 |
| 19 Oct 2026, 17:21 | 22,638 | first reading |
Engagement
446 posts held, back to 5 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 95 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.62%
- avg views ÷ 22,735 subscribers
- Avg views / post
- 1,280
- 118 posts measured
- Reaction rate
- 0.148%
- reactions ÷ views · ER floor
- Posts in window
- 118
- of 446 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 94 of 118 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 446 (5 August 2026 – 8 November 2026) |
| Views total | 150,671 |
| Reactions total | 184 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 14:47 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
- 403
- Videos
- 85
- Links
- 18
Lifetime counters from Telegram’s own channel header, read 8 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.
Reaction mix
793 reactions across 336 posts, in 11 distinct kinds. The most used accounts for 95.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 760 | 95.8% | |
| 👍 | 10 | 1.26% | |
| 💩 | 10 | 1.26% | |
| 👎 | 3 | 0.378% | |
| 😍 | 3 | 0.378% | |
| 😁 | 2 | 0.252% | |
| 🎃 | 1 | 0.126% | |
| 🎄 | 1 | 0.126% | |
| 👏 | 1 | 0.126% | |
| 🤔 | 1 | 0.126% | |
| 🥰 | 1 | 0.126% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 372 of the 446 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 793 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 446 most recent posts we hold, published 5 August 2026 to 8 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 27 of 118 posts held from the last 30 days (22.9%) 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).
『推荐指数:⭐️⭐️⭐️⭐️⭐️(贱评/差评/中评/中上/好评,)』 【日期】:11.8号 【修车编号】:#NBTG059 【美女昵称】:#北极星 【验证人】: 卡卡 【地 区 】:宁波 鄞州区 【联系方式】:@jingtong5220 【见面感觉】:御姐风骚 【室内光线】:明亮 【身材曲线】:s 【技术含量】:很高 【价格 】: 1700pp 【安 全 性】:很安全、隐秘 【年龄】:20多 【身高】:174 【体重】:100 【凶器,是否假奶】 真胸 【胸型】:水滴 【肤色,手感】 白滑 【B内温】:热 【BB户型】: 【BB味道】:无 【三点】:粉嫩 【课表,特色】:读🐲很爽 【人照相似,真人打几分】:9.9 【服务过程】: 优点:身材高挑,肤白貌美,胸还大,果断拿下。早早预约结果已经快约满了,商量了一下提前了半小时流出两课时间。如约前往,遥控上楼,看到老师后果然不负所望,衣服还没脱完,老师已经靠了上来,亲亲抱抱…
❤1
(非活跃群友,可信度低。) 『推荐指数:⭐️⭐️⭐️⭐️⭐️(好评)』 【日期】:2026.11.6 【修车编号】:#NBTG792 【美女昵称】:#泡沫 【验证人】:Escanor 【地 区 】:#鄞州 【联系方式】:@paomobot 【见面感觉】:10 【室内光线】:灯光柔和 【属性标签】:颜值、大胸、好身材、服务系 【身材曲线】:苗条、大胸 【技术含量】:10 【价格 】:500/半套 【安 全 性】:公寓 【年龄】:28 【身高】:160 【体重】:90 【凶器,是否假奶】真C 【胸型】:挺拔饱满 【肤色,手感】白,光滑 【BB味道】:无味 【三点】:边缘黑,内粉 【课表,特色】:课表有的都有 【人照相似,真人打几分】:真人与照片相似度(10分)10 【服务过程】:具体写整个服务过程、感受(尤其特点,描写详细到细节) 四刷老师了,本来上月底要来的,结果之前老师的号又炸了,频道也换新的了 老熟客了,进门麻溜交水费开…
(非活跃群友,可信度低。) 推荐指数:⭐️ ⭐️ ⭐️ ⭐️ ☆(四星半) 【日期】:2026:11月7日 【修车编号】:#NBTG389 【美女昵称】:#丫头 【验证人】:@Bruce0823 【地 区 】:海曙 【联系方式】:@xiangpenpen123456 【见面感觉】:少妇 【室内光线】:正常 【技术含量】:技术不错 【价格 】 :3张 【安 全 性】:安全 【年龄】:35 【身高】:162 【体重】:110 【凶器,是否假奶】 真胸很大摸起来软软的感觉!要两个手才能捏住 【人照相似,真人打几分】:9 【服务过程】: 来到课室,见面第一感觉,人照8分相似,身材微胖怪 简单寒暄一会,开始沐浴,全程老师帮洗,洗完后有水中萧,老师舌头很软,口的挺舒服的。洗完擦拭后,来到床上开始服务,老师B面服务课表有的都做了,时长很充足,舌漫体验很好,毒龙时间很久,老师舌头很软。还有猴子偷桃环节。接着便是A…
❤1
Posted without readable text
❤3
『推荐指数:⭐️⭐️⭐️⭐️⭐️』 【日期】:2026.11.7 【修车编号】:#NBTG059 【美女昵称】:#北极星 【验证人】: 二大爷 【地 区 】:宁波 鄞州区 【联系方式】:@jingtong5220 【见面感觉】: 【室内光线】: 【身材曲线】: 【技术含量】: 【价格 】: pp 【安 全 性】: 【年龄】:20多 【身高】:174 【体重】:100 【凶器,是否假奶】 【胸型】: 【肤色,手感】 【B内温】: 【BB户型】: 【BB味道】: 【三点】: 【课表,特色】: 【人照相似,真人打几分】: 【服务过程】: 优点:来了来了,又来了。正好在宁波的最后一天,和北极星又见上面了。昨天下午得知北极星来宁波,就早早的约上今天的头课。 有时候我也会经常问自己。为什么这么执着于北极星,而不是转身去找其他人,我想大概也就是因为北极星身上这种不扭捏,不做作的真实感吧。当然了,身材和样貌肯定也是主要原因。其实…
❤2
(正式工兵报告,可信度较高。) 『推荐指数:⭐️⭐️⭐️⭐️』 【日期】:2026年11月 7日 【修车编号】:#NBTG1232 【美女昵称】:#晨夕儿 【验证人】:小feng 【地 区 】:鄞州 【联系方式】:@chenbo8881 【见面感觉】:少妇 【室内光线】:偏暗 【属性标签】:大奶少妇 【身材曲线】:小丰满 【技术含量】:正常 【价格 】:600/p (工兵半价) 【安 全 性】:公寓,听昨天的工兵说要换,但好像没换 【年龄】:27左右 【身高】:160左右 【体重】:大概100 左右 【凶器,是否假奶】C左右,真 【胸型】: 椰子 【肤色,手感】白,滑 【B内温】:热 【BB户型】: 正常 毛茂盛 【BB味道】:无异味 【三点】:正常 【课表,特色】:服务中规中矩,奶大水多逼紧 【人照相似,真人打几分】:8分像 【服务过程】: 看到前面的工兵退了,正好感觉还不错就拿下了,约好时间遥控上楼,…
❤1
(正式工兵报告,可信度较高。) 【工兵报告】 推荐指数:⭐️ ⭐️ ⭐️ ⭐️ 【日期】:20261107 【修车编号】: #NBTG1231 【美女昵称】:#棠柔 【验证人】:小松鼠 【地 区 】:鄞州 【联系方式】:@yuuehe 【见面感觉】:照片7分像 (滤镜) 【室内光线】:昏暗 【属性标签】:喷水少妇 【技术含量】:手法会所出身 【价格 】:500(工兵半价)建议400更好 【安 全 性】:公寓 【年龄】:28左右 【身高】:155左右 【体重】:100左右 【凶器,是否假奶】B 【BB味道】:不知道 【人照相似,真人打几分】:7分(滤镜) 【服务过程】:和老师对接好时间驱车前往,抵达目遥控上楼。进屋后,由于房间只打开了洗手间的灯,看的不是很清楚,大概轮廓和视频有个七分相似。老师放水,自己脱衣去洗老师铺床,前面洗的差不多的时候老师进来帮忙擦背。擦干,上床爬着。第一步放松按摩,手法还行,胸推胸滑,整个过程行云流水,…
❤1
(非活跃群友,可信度低。) 【推荐指数:⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 【日期】:2026-11-07 【修车编号】:#NBTG1133 【美女昵称】:佳宁 【验证人】:老汪 【地 区 】:鄞州区 【联系方式】:@jx22335 【见面感觉】:9 【室内光线】:亮 【技术含量】:9 【价格 】 :600 【安 全 性】:安全 【年龄】:22左右 【身高】:165左右 【体重】:95左右 【凶器,是否假奶】 B+ 真🐻 【人照相似,真人打几分】:9 【服务过程】:和ls确定好时间准时到达还提前留了门,进门后ls主动和我打招呼,看着颜值很ok,于是主动交了课费,ls邀请我去沙发坐了会,期间还会主动大蟒蛇可谓情绪拉满,我抓紧起身准备去淋浴降降火,ls说一起一起,回到房间其实我早已饥渴难耐了,直接把ls扑倒在床上,开始疯狂挑逗69,下体早已被我挑逗的湿透无比,我见状直接把大鸡吧塞进她嘴里玩弄,只见肉棒越来越硬,直接让她给我带上伞,传…
❤1
工兵报告 推荐指数:⭐️ ⭐️ ⭐️ ⭐️ 【日期】:20261107 【修车编号】:#NBTG1231 【美女昵称】:棠柔 【验证人】:撸撸摸摸 【地 区 】:高新区 【联系方式】:@yuuehe 【见面感觉】:7 门半开 进去坐在里面床上不是门后 【室内光线】:很暗 【技术含量】:技术中偏上 【价格 】 :500 (工兵半价) 【安 全 性】:安全 【年龄】:不评价年龄 【身高】:160 【体重】:120 【凶器,是否假奶】 D 真 【人照相似,真人打几分】:7 【服务过程】: 昨晚有工兵让出名额,抢好跟老师约了头课,今早起床出门上班做任务。 老师提前到给我发信息,熟悉的楼,扫码上楼,推开门门后没人,往里走老师坐在床上,因为漆黑一片看不清楚脸,只能从声音判断年纪不算大,由于衣服也是穿着套装,也看不太出身材,隐约可见胸前两块凸起应该C+,就脱衣了。 老师开始让我自己洗,我表示疑问后她说铺下床等下进来帮我,态度没有不悦,希…
(正式工兵报告,可信度较高。) 推荐指数:⭐️ ⭐️ ⭐️ ⭐️ ☆(四星半) 【日期】:20261105 【修车编号】:#NBTG1229 【美女昵称】:#晗露 【验证人】:69🍬人 【地 区 】:鄞州 【联系方式】:@iiuuysw 【见面感觉】:少妇 【室内光线】:正常 【技术含量】:技术不错 【价格 】 :500 (工兵半) 【安 全 性】:安全 【年龄】:29 【身高】:162 【体重】:100左右 【凶器,是否假奶】 应该有科技 不过手感很好 【人照相似,真人打几分】:8 【服务过程】: 来到课室,见面第一感觉,老师胸很漂亮,人照8分相似,身材不错。 简单寒暄一会,开始沐浴,全程老师帮洗,洗完后有水中萧,老师舌头很软,口的挺舒服的。洗完擦拭后,来到床上开始服务,老师B面服务课表有的都做了,时长很充足,舌漫体验很好,毒龙也是,老师舌头很软。还有猴子偷桃环节。接着便是A面,同样不含糊,先是…
❤1
(正式工兵报告,可信度较高。) 【工兵报告】 『推荐指数:⭐️⭐️⭐️⭐️』 【日期】:2026.11.6 【修车编号】:#NBTG1231 【美女昵称】:#棠柔 【验证人】:她说肚子是吃圆的 【地 区 】:鄞州 【联系方式】:@yuuehe 【见面感觉】:7 【属性标签】:少妇 【身材曲线】:大奶 【技术含量】:7 【价格 】:500/p(工兵半价) 【安 全 性】:公寓 【年龄】:25-30 【身高】:160左右 【体重】:没概念估不准 【凶器,是否假奶】:D+ 【肤色,手感】:常规 【B内温】:温暖 【BB户型】:不知道 【BB味道】:没有闻到 【三点】:略粉 【课表,特色】:毒龙 【人照相似】:7 【服务过程】: 颜值:人照7分,脸型基本一致,美颜开的有点大。 环境:普通公寓,环境不错,准备的物件也比较整体齐全。 身材:D+大奶,有点小肚子,身上有一两处小纹身 态度:沟通顺畅,配合稳定,没有很热情的情绪价值,也没…
❤3
Showing the 12 most recent of 446 posts we hold for @nbgkb888. 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.
Posts edited after publishing
@nbgkb888 edited 16 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 10 August 2026
- Most recent edit
- 8 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @nbgkb888 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 2 September 2026
- Most recent seen missing
- 2 September 2026
- Median time before seen missing
- 23 hours
- Seen missing in the last 30 days
- 0
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@nbgkb888 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 5 November 2026 – 6 November 2026
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“宁波修车公开榜” (@nbgkb888), 22,735 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/nbgkb888.
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.