龟不语频道报告 地址:#福田 名字:#欢喜 老师账号:@huanxi22212 时间:11-9 价格:900 身材样貌:丰满,熊大皮肤白,长相甜美可爱 优点缺点:声音好听,态度好,人很温柔,配合度高,让人心情舒畅,口活也很好,深喉让人把持不住 推荐程度: (满分10.0分)

Channel
龟不语2.0
@spikeniubi
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
10,445subscribers
+3,616 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002552058940 |
|---|---|
| Type | Channel |
| Username | @spikeniubi |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 November 2026 |
| Measurements held | 55 |
| Confirmed unchanged | 1 time, most recently 14 November 2026 |
| On Telegram | t.me/spikeniubi |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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 |
|---|---|---|
| 14 Nov 2026, 17:15 | 10,445 | -20 |
| 11 Nov 2026, 15:56 | 10,465 | +2 |
| 9 Nov 2026, 18:39 | 10,463 | -5 |
| 8 Nov 2026, 06:56 | 10,468 | +1 |
| 6 Nov 2026, 23:15 | 10,467 | -5 |
| 6 Nov 2026, 02:00 | 10,472 | -2 |
| 5 Nov 2026, 01:18 | 10,474 | +2 |
| 4 Nov 2026, 01:38 | 10,472 | -4 |
| 3 Nov 2026, 02:46 | 10,476 | +1 |
| 1 Nov 2026, 04:08 | 10,475 | -2 |
| 31 Oct 2026, 03:06 | 10,477 | -7 |
| 29 Oct 2026, 01:00 | 10,484 | +2 |
| 27 Oct 2026, 01:10 | 10,482 | -12 |
| 26 Oct 2026, 03:14 | 10,494 | -31 |
| 24 Oct 2026, 23:57 | 10,525 | -34 |
| 24 Oct 2026, 00:26 | 10,559 | -29 |
| 22 Oct 2026, 21:56 | 10,588 | -20 |
| 21 Oct 2026, 16:07 | 10,608 | -23 |
| 20 Oct 2026, 13:15 | 10,631 | -5 |
| 19 Oct 2026, 14:34 | 10,636 | first reading |
Engagement
86 posts held, back to 24 July 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 23.9%
- avg views ÷ 10,445 subscribers
- Avg views / post
- 2,490
- 25 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 25
- of 86 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 9 November 2026 |
|---|---|
| Posts held | 86 (24 July 2026 – 9 November 2026) |
| Views total | 62,300 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 11:02 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.
Reaction mix
52 reactions across 32 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 52 | 100.0% |
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 48 of the 86 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 86 most recent posts we hold, published 24 July 2026 to 9 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: 1 of 25 posts held from the last 30 days (4.00%) 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).
龟不语频道报告 地址:#福田 名字:#欢喜 老师账号:@huanxi22212 时间:11.6 价格:900 身材样貌:长相可爱,身材丰满,胸很大,屁股很大,童颜巨乳 优点缺点:声音甜美,皮肤很白很好,口活很好,态度温柔,性格好 推荐程度:非常推荐,很愉快的一次体验 (满分10.0分)
龟不语频道报告 地址:#宝安 名字:#薇薇 老师账号:@szvv668 时间:11.06 价格:8p 身材样貌:真人比照片好看,邻家妹妹型 优点缺点:妹妹很爱干净,自己租的房子收拾得很整洁还自己做饭。陪洗后躺床,舔咪咪和口活无齿感,69舔带毛馒头福无异味,视觉很享受。硬得不行了进入正题,不愧是名器十分紧致,女上比较菜换自己操盘顺利出水,很棒的体验。总结∶嫩妹三件套,态度可以,喜欢嫩妹的推荐吃 推荐程度:9.5 (满分10.0分)
龟不语频道报告 地址:#宝安 名字:#薇薇 老师账号:@szvv668 时间:11.6 价格:800 身材样貌:年轻貌美 白嫩瘦 优点缺点:一进门看到一个水灵的邻家妹妹,颜值高比真人比照片好看,很嫩很年轻。妹妹还自己做饭反差相当大。妹妹性格态度都不错,能聊天。服务有陪洗,嫩妹三件套,可以自己操盘相当配合,上面软下面紧体验感拉满,换了几个姿势顺利出水。嫩妹三件套不能算缺点 推荐程度: 9.5 (满分10.0分)
龟不语频道报告 地址:#宝安 名字:#薇薇 老师账号:@szvv668 时间:11/5 价格:800p 身材样貌:年轻嫩妹、三点粉嫩、馒头逼 优点缺点:抱着踩雷心态去的,见到真人忍不住要全塞里面😂真人比照片漂亮、房间很温馨很有生活气息,特意穿着制服等我,看着比较羞涩,没有陪洗叫妹妹陪洗应该是愿意的,🐼应该有在B+身材很好皮肤滑嫩,简单的三件套服务需要自己操盘,妹妹都很配合态度很好,不能🐍有点可惜,可以69无异味很粉💦超级多,进人正题才发现妹妹下面特别紧不够硬度进不去的,硬塞进去干几下💦超级多都趴趴响,要不是自己有事都还想再加一次 推荐程度:10(满分10.0分)
龟不语频道报告 地址:#福田 名字:#酥琪 老师账号:@suqi668822 时间:11.2 价格:850p 身材样貌:人照9分,高个御姐 优点缺点:服务态度很棒,个高胸大,喜欢大车的不容错过。老师口活很棒,差点就被秒了,123满意出水,很棒的一次体验。 推荐程度:9.5 (满分10.0分)
频道报告 地址:#龙华 名字:#沫子 老师账号:@moziTOT 时间:1101 价格:课表 身材样貌:嫩姐型,比较匀称的身材,有屁股,淡黄色皮肤,熊B+ 优点缺点:曾经宝安繁荣时期的好老师之一,我刚玩tg那会老师应该也是同期刚出来,后来上岸了,今日得以再续前缘。总结有点就是做爱投入,紧,有情绪价值,会夸人,夸肌肉,夸皮肤,不管是不是客气,本人是比较受用的,而且反馈不错,背都给我抓疼了。缺点就是可是空调坏了热,老师说今天有点虚,可能不是最佳的状态,总体没硬伤。 推荐程度:曾经的宝安优质老师卷土从来,必须给到夯。 (满分10.0分)
龟不语频道报告 地址:#龙华 名字:#沫子 老师账号:@moziTOT 时间:10.30 价格:7p-工兵券 身材样貌:人照8.5 优点缺点:人微微胖,抱着挺舒服,老师床上很主动,很敏感。123出水后还会躺床上一会贴贴,然后再洗澡,整体感受很好 房间的空调坏了,有点热 推荐程度: 9(满分10.0分)
龟不语频道报告 地址:#龙华 名字:#沫子 老师账号:@moziTOT 时间:10.29 价格:7p-工兵券 身材样貌:人照8.5分🐻挺翘臀 优点缺点:宾至如归,很有情绪价值的东北甜妹,做爱会主动往怀里钻,老师很敏感do到高潮会抱紧亲亲,超绝真实反应123出水在沙发上休息了一会满意收队。 推荐程度: 9.5 (满分10.0分)
龟不语频道报告 地址:#南山 名字:#大泡泡 老师账号:@paopao6691 时间:10.24 价格:678 身材样貌:本人很好看,网红脸 优点缺点:老师身材非常nice,前凸后翘的,🐻乳冲击感很强,洗澡的时候已经硬的不行了,到床上后更是用小嘴猛猛的吸住二弟,舔的酥酥麻麻的,差点直接缴枪。戴上tt后先女上体位,只能说爽到爆,然后切换传教士疯狂的抽插老师紧致的小穴。小穴像有吸力一样,尤其在后入的时候,感觉整根都被狠狠包裹住了。最后相拥告别,一定还会再来,性价比太高了 推荐程度:9 (满分10.0分)
地址:#南山 名字:#大泡泡 老师账号:@paopao6691 时间:10.24 价格:p 身材样貌:颜值身材皆佳 优点缺点:看到老师的第一眼就觉得来对了,颜值好看,身材不错大胸无赘肉,服务更加不错,有种宾至如归的感觉,沟通交流很舒适。值得推荐。(有点纹身和抽烟,介意的需要注意下) 推荐程度: 9(满分10.0分)
龟不语频道报告 地址:#福田 名字:#酥琪 老师账号:@suqi668822 时间:10.24 价格:850 身材样貌:9.5 和描述一致 优点缺点:服务型老师,声音也很温柔,进门很热情照顾很体贴,身高确实很高在深圳都很少见,课室方便。 推荐程度: 9分 (满分10.0分)
Showing the 12 most recent of 86 posts we hold for @spikeniubi. 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 recorded as deleted after publishing
We recorded 1 post on @spikeniubi 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
- 15 August 2026
- Most recent seen missing
- 15 August 2026
- Median time before seen missing
- 5 days
- 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.
@daiguaq · 1,3823 posts南山 娜娜 温柔甜美 舌吻 69
@SZNana88888 · 2,8242 posts困困的小🛏
@kkuu12121 · 6,1222 posts甜玖的朋友圈(开课中)
@baoantianjiu · 1,6741 post程澄的报告👩❤️💋👨
@ccdbg123 · 1621 post崽崽的小秘密
@ffzaizai1 · 5,3181 postE奶欢喜朋友圈⭕ 休息
@huanxi2221 · 6,2161 post娜美小圈子
@nanshannamei145 · 4141 post乐乐的个人频道
@nanslele · 4061 post南山泡泡
@paopao6619 · 2541 post🍑桃夭夭🍑的频道
@taoyy08 · 1,0321 post宝安 18岁晚晚的小窝
@wanwan3272 · 7091 post深圳瑶瑶个人频道蛇吻🔥
@xiaoqingqqq · 3,4361 post
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.
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 14 November 2026 — this entry's latest reading, not the date you are reading this.
“龟不语2.0” (@spikeniubi), 10,445 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/spikeniubi.
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.