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Telegram profile photo for 深圳乌鸦のSex Note 🍌

Channel

深圳乌鸦のSex Note 🍌

@juliansexnote

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

22,825subscribers

+2,044 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-1001842317181
TypeChannel
Username@juliansexnote
Description分享CJ记录+推广频道,实打实真内容。 嫩妹,萝莉,嫩姐为主。 上榜联系本尊: @julian_wuya 老师榜单:https://t.me/shenzhenwuyabang 福利推广频道:https://t.me/shenzhenwuyafuli 群聊: https://t.me/wuyaforum
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/juliansexnote

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@shenzhenwuyabang/9695 Aug 2026, 04:00 UTC@juliansexnote/2511 · this entry5 Aug 2026, 04:00 UTC1.00under a minute
@shenzhenwuyabang/9755 Aug 2026, 12:56 UTC@juliansexnote/2521 · this entry5 Aug 2026, 12:56 UTC1.00under a minute
@shenzhenwuyabang/9765 Aug 2026, 13:04 UTC@juliansexnote/2522 · this entry5 Aug 2026, 13:04 UTC1.00under a minute
@shenzhenwuyabang/9775 Aug 2026, 16:55 UTC@juliansexnote/2523 · this entry5 Aug 2026, 16:55 UTC1.00under a minute
@shenzhenwuyabang/9796 Aug 2026, 10:54 UTC@juliansexnote/2535 · this entry6 Aug 2026, 10:54 UTC1.00under a minute
@shenzhenwuyabang/9826 Aug 2026, 13:09 UTC@juliansexnote/2536 · this entry6 Aug 2026, 13:09 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@shenzhenwuyabang8 (8/8 hand-verifiable sample passed)1.00under a minute@shenzhenwuyabang (6–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 3 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 4 August 2026 to 8 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @juliansexnote — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

18,98423,79621,3907 August 2026 — 20,781 subscribers7 August 2026 — 20,847 subscribers8 August 2026 — 20,780 subscribers9 August 2026 — 20,759 subscribers10 August 2026 — 20,703 subscribers11 August 2026 — 20,539 subscribers12 August 2026 — 20,459 subscribers14 August 2026 — 20,377 subscribers15 August 2026 — 22,340 subscribers17 August 2026 — 22,233 subscribers18 August 2026 — 20,067 subscribers19 August 2026 — 19,767 subscribers20 August 2026 — 19,711 subscribers21 August 2026 — 19,570 subscribers22 August 2026 — 19,504 subscribers24 August 2026 — 19,454 subscribers25 August 2026 — 19,428 subscribers26 August 2026 — 19,411 subscribers27 August 2026 — 19,392 subscribers28 August 2026 — 19,348 subscribers29 August 2026 — 19,294 subscribers30 August 2026 — 19,233 subscribers31 August 2026 — 19,216 subscribers1 September 2026 — 19,162 subscribers2 September 2026 — 19,126 subscribers3 September 2026 — 19,020 subscribers5 September 2026 — 18,984 subscribers8 September 2026 — 23,796 subscribers11 September 2026 — 23,663 subscribers13 September 2026 — 23,607 subscribers14 September 2026 — 23,557 subscribers16 September 2026 — 23,482 subscribers18 September 2026 — 23,382 subscribers25 September 2026 — 22,825 subscribers22,8257 August 202625 September 2026
34 measurements spanning 49 days, net +2,044. 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 18,262–24,518 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 03:5822,825-557
18 Sept 2026, 23:1723,382-100
16 Sept 2026, 16:5623,482-75
14 Sept 2026, 18:5423,557-50
13 Sept 2026, 03:5723,607-56
11 Sept 2026, 06:5923,663-133
8 Sept 2026, 12:0223,796+4,812
5 Sept 2026, 05:1718,984-36
3 Sept 2026, 10:0319,020-106
2 Sept 2026, 04:5319,126-36
1 Sept 2026, 02:0419,162-54
31 Aug 2026, 02:0619,216-17
30 Aug 2026, 02:0419,233-61
29 Aug 2026, 05:1319,294-54
28 Aug 2026, 07:4419,348-44
27 Aug 2026, 08:3719,392-19
26 Aug 2026, 06:0319,411-17
25 Aug 2026, 09:0319,428-26
24 Aug 2026, 11:3419,454-50
22 Aug 2026, 20:1319,504first reading

Engagement

229 posts held, back to 4 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 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.66%
avg views ÷ 22,825 subscribers
Avg views / post
835
52 posts measured
Reaction rate
0.461%
reactions ÷ views · ER floor
Posts in window
52
of 229 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 21 of 52 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held229 (4 August 2026 – 2 October 2026)
Views total43,419
Reactions total96
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 06:56 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
809
Videos
90
Links
381

Lifetime counters from Telegram’s own channel header, read 2 October 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
1m 30s
Average length
11s

Measured directly from 8 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.

Reaction mix

252 reactions across 70 posts, in 4 distinct kinds. The most used accounts for 53.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13553.6%
👍11144.0%
🔥31.19%
🥰31.19%

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 94 of the 229 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 252 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 229 most recent posts we hold, published 4 August 2026 to 2 October 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

2 Oct 2026, 04:57 UTC144 viewsread 2 October 2026

🐺 #狼友报告 🐺 留名:PengZhuang 老师名字:#舒瑶 位置坐标:#坂田 颜值:真人比频道照片好看,真人颜值很高。 身材:165左右, 80多斤,有点偏瘦,小A🐻。 服务: xcz,🐍 ,69 aiai体验:推门进去,一眼就是jk学生装,比照片好看多了,可爱型的花季少女,冷白皮,匆匆洗个澡,在下面还比较害羞,一到楼上,奔放得很,主动亲,要把我吃了一样,口的也很舒服,不说的话会一直口,传教士下面太迷人了,后入一下没忍住,服务态度真的很nice,各位同学要好好爱惜 小结:舒瑶妹妹属于白嫩嫩漂亮妹妹,态度也不错,配合度很好!喜欢嫩妹的朋友强烈推荐! 服务情价拉满,全程都是笑嘻嘻的。女友感拉的满满的。 评价: A 联系方式: @linlinai6968 投稿: @julian_wuya

2 Oct 2026, 04:38 UTC164 viewsread 2 October 2026

#乌鸦出击🐦‍⬛️ @kkuu12121 #困困 #坂田 #深圳 乌鸦群群花❤️困困❤️,之前老师休了很久,还以为上岸了,突然就重开了,好好珍惜🈷课。 颜值:人照身高跟频道一致,可爱迷人这笑容。(9分) 身材:173裸高,细腰,修长白长腿,B/C胸,皮肤很白滑。(9分) 服务:xcz,🐍,69,舔蛋蛋,口活没叫停都继续,还有不少衣服换🙂(9分) aiai体验:全程情绪价值拉满,🐍饱,逼紧水多,屌感超棒。(9分) 体验: 困困长休了很久,国庆头炮确定是你😘。一进门还是那个穿着白色上衣短裙的美女,颜值好笑容甜美,人照身材一致,而且有一双白腿长。简单抱抱聚旧一下就去洗澡🛀,脱衣后,皮肤皮肤还是白晰,三点粉粉,完美身躯👅。 来到床上,先跟困困调情,小鸟依人,可以🐍饱。口活很好,会深喉,可以口很久,69下面很粉,蝴蝶逼+非常敏感。aiai都很配合,女上位会动会摇,操的时候很润,逼紧而且很多水,床单都沾了水🤭。后入一边摸胸,一边…

2 Oct 2026, 04:00 UTC171 viewsread 2 October 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179051829793 🎰 福田 橙橙 半价抽奖(@chengcheng800) ⚠️ 抽奖说明: 中奖后3天联系老师出击(老师问题除外),出击后24小时发报告,否则拉黑。 💁 参与情况:99达标 / 110报名 🔋 人品加成:293票 ⚡️× 9 🎅 联系领奖:朱利安 (深圳乌鸦) 1. 夜星⚡️× 9 奖品:❤️半价优惠劵❤️ 祝大家心想事成好运连连!

Signed LotteryBest Bot

2 Oct 2026, 03:29 UTC189 viewsread 2 October 2026
Photo

上榜联系本尊: @julian_wuya 出击体验+报告频道: https://t.me/juliansexnote 群聊: https://t.me/wuyaforum 老师榜单:https://t.me/shenzhenwuyabang 福利推广频道:https://t.me/shenzhenwuyafuli 轮播频道: https://t.me/szwuya_lunbo

Signed TGBot

1 Oct 2026, 18:06 UTC392 views9 reactionsread 2 October 2026

#乌鸦出击🐦‍⬛️ @xluoyi334 #小洛依 #宝安 #深圳 颜值:人照身高跟频道一致,颜值耐看。(8分) 身材:个子不到160,细腰,B+/C胸,皮肤底子胸部很白,手脚晒黑一点,背部有点痘痘。(8.5分) 服务:xcz,🐍,69,口活嫩妹水准。(8分) aiai体验:情绪价值高,会搞笑逗比,逼紧水多,还会夹人,屌感很棒。(9分) 体验: 新开的湖南小妹,有一条花臂,进门就是个自来熟的E人,很健谈,很好说话。交了水费后去洗澡🛀,脱衣后,瘦底有胸,最少有B+。胸部的皮肤冷白色,手脚皮肤就晒黑了。 来到床上,先抱抱调情🐍纹,但妹子比较逗比,我们一直在谈笑,好不容易进入状态😂。口活一般嫩妹水准,69下面是分分的蝴蝶逼,豆豆很敏感。aiai都很配合,女上位会动会摇,逼紧而且水润,重点是妹子还会主动夹鸡鸡,非常紧。还试过把人女上坐夹123🤭。我当然扛得住,要超市她。后入还可以顶到她小房子,后入最爽,紧润,屌感一流。最后完美出…

❤9

1 Oct 2026, 11:07 UTC225 views4 reactionsread 1 October 2026
Video

#乌鸦出击🐦‍⬛️ @kkuu12121 #困困 #坂田 #深圳 乌鸦群群花❤️困困❤️,之前老师休了很久,还以为上岸了,突然就重开了,好好珍惜🈷课。 颜值:人照身高跟频道一致,可爱迷人这笑容。(9分) 身材:173裸高,细腰,修长白长腿,B/C胸,皮肤很白滑。(9分) 服务:xcz,🐍,69,舔蛋蛋,口活没叫停都继续,还有不少衣服换🙂(9分) aiai体验:全程情绪价值拉满,🐍饱,逼紧水多,屌感超棒。(9分) 体验: 困困长休了很久,国庆头炮确定是你😘。一进门还是那个穿着白色上衣短裙的美女,颜值好笑容甜美,人照身材一致,而且有一双白腿长。简单抱抱聚旧一下就去洗澡🛀,脱衣后,皮肤皮肤还是白晰,三点粉粉,完美身躯👅。 来到床上,先跟困困调情,小鸟依人,可以🐍饱。口活很好,会深喉,可以口很久,69下面很粉,蝴蝶逼+非常敏感。aiai都很配合,女上位会动会摇,操的时候很润,逼紧而且很多水,床单都沾了水🤭。后入一边摸胸,一边…

❤2👍2

1 Oct 2026, 10:17 UTC700 views1 reactionsread 2 October 2026

🐺 #狼友报告 🐺 留名:jackson 老师名字:#鱼破冰 位置坐标:#龙华 颜值身材:c➕ 服务内容:🐍 有的服务都有 出击体验: 遥控上楼,开门见到妹妹,真人比照片好看,性格很好 很开朗 不会冷场 i人兄弟放心冲 皮肤很好,胸很大,身材很好,进门拿水给我,帮你换鞋,交学费,闲聊时不停眼神勾引你,口的时候还用眼睛挑逗你,聊了两句去洗澡,妹妹帮洗,妹妹洗差不多蹲下口,那感觉真舒服,洗完擦干身子,躺床上享受老师的服务。做的时候真的很浪,叫床骚骚的,各种姿势随意切换。太值了! 联系方式:@jia668996 投稿: @julian_wuya

❤1

1 Oct 2026, 09:29 UTC239 views1 reactionsread 1 October 2026
Photo

上榜联系本尊: @julian_wuya 出击体验+报告频道: https://t.me/juliansexnote 群聊: https://t.me/wuyaforum 老师榜单:https://t.me/shenzhenwuyabang 福利推广频道:https://t.me/shenzhenwuyafuli 轮播频道: https://t.me/szwuya_lunbo

❤1

Signed TGBot

1 Oct 2026, 07:50 UTC919 viewsread 2 October 2026

🐺 #狼友报告 🐺 留名:浪子中 老师名字:#橙橙 位置坐标:#福田 车公庙 颜值身材:颜值9.5分 身材9分 服务内容:xcz,🐍,69 出击体验: 一进屋就很可爱的一个妹子,刚做不久,很能聊天,想不到之前竟然是一个i人 。有点小害羞。漱口水后就舌了好久 我玩的花样不多,我比较朴实 妹妹也非常的乖,非常听话 亲嘴亲耳朵她很怕痒,亲了好久,然后就躺下来帮我口,她说不太熟练,但是没有齿感 很不错,还可以继续好好调教!然后我又舌 前戏做得非常足还有六九很嫩很爽,整体来说非常完美,除了一个缺点就是咪咪有点小只有a,但是我喜欢哈哈哈,前戏做完,然后就是经典传教士几分钟就出了一次。然后帮我洗澡。 再来一遍流程口的也挺久的,你不说停她也不会停,这次换了两个体位 女上和后入还有侧入 美滋滋,第二次比较久,都累死了一身汗!结束再洗澡 然后我觉得差不多了,就时间还有20多分钟 就聊聊天,非常的整体非常好,还会返食 联系方式…

1 Oct 2026, 05:07 UTC576 viewsread 2 October 2026

🐺 #狼友报告 🐺 留名:M 老师名字:#舒瑶 位置坐标:#坂田 颜值:真人比频道照片好看,真人颜值很高。 身材:165左右, 80多斤,有点偏瘦,小A🐻。 服务: xcz,🐍 ,69 aiai体验:妹子高高瘦瘦,腿是真长,皮肤白,全身上下除了纹身的地方都很干净,没有疤痕之类的,很嫩。胸不大,蝴蝶逼,阴唇凸出。小穴紧,来水快又多,女上开始几下就听到明显的水声。后入时洞口难入,能下腰,腰臀线完美,完事时能看到大腿上溅出的白液。 妹子性格感觉挺开放的,有话题基本能聊,爱爱时反馈也可以。 蛮可爱的妹子,三点算粉,水多穴紧,胸A高瘦腿长,嫩妹中的中上品,操起来很有感觉。 小结:舒瑶妹妹属于白嫩嫩漂亮妹妹,态度也不错,配合度很好!喜欢嫩妹的朋友强烈推荐! 服务情价拉满,全程都是笑嘻嘻的。女友感拉的满满的。 评价: A 联系方式: @linlinai6968 投稿: @julian_wuya

30 Sept 2026, 11:13 UTC358 viewsread 1 October 2026
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🎰 宝安 小洛依 半价抽奖(@xluoyi334) 📮 参与条件: 🎫 加入-深圳乌鸦🐦‍⬛️の榜单轮播群 🎫 加入-小洛依的个人空间 🎫 加入-深圳乌鸦🐦‍⬛️已认证榜单+优惠情报 🎫 加入-乌鸦成群🐦‍⬛️🐦‍⬛️嫩妹聊天吧 └ 🎟️ 发言数大于 10 条 🎫 加入-深圳乌鸦のSex Note 🍌 🎁 奖品内容: 💰️ ❤️半价优惠劵❤️ × 1 ⚠️ 抽奖说明: 中奖后3天联系老师出击(老师问题除外),出击后24小时发报告,否则拉黑。 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年10月04日 12时00分00秒

Signed LotteryBest Bot

30 Sept 2026, 10:29 UTC704 views1 reactionsread 2 October 2026

🐺 #狼友报告 🐺 留名:origin 老师名字:#小樱 位置坐标:#龙华 颜值身材:人照8分,身高150+,🐻B,有点黑,比较瘦 服务内容:cz 出击体验:约的老师头课,课室在龙华的某个小区,安全性高。一进课室,发现老师小小一只,巴掌脸。老师说洗过了,所以就没有陪洗了。自己随便洗完,出来浴室发现老师已经脱完了,没想到,老师看着瘦瘦的,🐻居然还挺大,挺挺的富有弹性,很饱满。小的把玩一下小白兔,开始口活,没有什么齿感,还挺舒服。老师说不会带套,于是我自己带上,让老师坐上来,由于老师是嫩妹,也不太会女上,我顶了几下后,就换传教士了。不愧是嫩妹,很紧,很润,皮肤也挺光滑,脚小小的,还挺可爱的,抽查了十几分钟,换了后入,握着老师的细腰,猛猛冲刺,最后成功出水。 联系方式:@xiaoyingyyi 投稿: @julian_wuya

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Showing the 12 most recent of 229 posts we hold for @juliansexnote. 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

@juliansexnote edited 7 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
9 August 2026
Most recent edit
1 October 2026

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

Named by 16 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.

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

“深圳乌鸦のSex Note 🍌” (@juliansexnote), 22,825 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/juliansexnote.

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.