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Channel

深圳·黑鸦社

@SZHY1

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

16,793subscribers

+538 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-1002641949244
TypeChannel
Username@SZHY1
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/SZHY1

Topic

Other / unclassifiable — 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 50% 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

15,89417,28816,5917 August 2026 — 16,255 subscribers7 August 2026 — 16,255 subscribers7 August 2026 — 16,254 subscribers8 August 2026 — 16,247 subscribers9 August 2026 — 16,237 subscribers10 August 2026 — 16,244 subscribers11 August 2026 — 16,235 subscribers13 August 2026 — 16,226 subscribers14 August 2026 — 16,220 subscribers15 August 2026 — 16,212 subscribers17 August 2026 — 16,223 subscribers18 August 2026 — 16,224 subscribers19 August 2026 — 16,085 subscribers20 August 2026 — 16,078 subscribers21 August 2026 — 16,075 subscribers22 August 2026 — 16,070 subscribers24 August 2026 — 16,056 subscribers25 August 2026 — 16,059 subscribers26 August 2026 — 16,048 subscribers27 August 2026 — 16,040 subscribers28 August 2026 — 16,037 subscribers29 August 2026 — 16,047 subscribers30 August 2026 — 16,045 subscribers31 August 2026 — 16,039 subscribers1 September 2026 — 16,036 subscribers2 September 2026 — 16,040 subscribers3 September 2026 — 16,027 subscribers5 September 2026 — 16,031 subscribers8 September 2026 — 16,026 subscribers11 September 2026 — 16,015 subscribers13 September 2026 — 15,998 subscribers14 September 2026 — 15,987 subscribers16 September 2026 — 15,985 subscribers18 September 2026 — 15,967 subscribers2 October 2026 — 15,894 subscribers7 October 2026 — 16,885 subscribers12 October 2026 — 16,866 subscribers14 October 2026 — 16,862 subscribers16 October 2026 — 16,860 subscribers17 October 2026 — 16,852 subscribers18 October 2026 — 16,849 subscribers19 October 2026 — 16,833 subscribers20 October 2026 — 16,837 subscribers21 October 2026 — 16,840 subscribers22 October 2026 — 16,839 subscribers25 October 2026 — 16,825 subscribers26 October 2026 — 16,822 subscribers27 October 2026 — 16,821 subscribers28 October 2026 — 16,828 subscribers29 October 2026 — 16,832 subscribers30 October 2026 — 16,821 subscribers31 October 2026 — 16,818 subscribers1 November 2026 — 16,807 subscribers2 November 2026 — 17,288 subscribers3 November 2026 — 16,800 subscribers4 November 2026 — 16,801 subscribers5 November 2026 — 16,793 subscribers16,7937 August 20265 November 2026
57 measurements spanning 90 days, net +538. 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 15,685–17,497 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
5 Nov 2026, 20:2616,793-8
4 Nov 2026, 20:4016,801+1
3 Nov 2026, 17:5616,800-488
2 Nov 2026, 14:3917,288+481
1 Nov 2026, 15:3516,807-11
31 Oct 2026, 12:1616,818-3
30 Oct 2026, 14:1516,821-11
29 Oct 2026, 10:4616,832+4
28 Oct 2026, 09:5416,828+7
27 Oct 2026, 06:2016,821-1
26 Oct 2026, 04:2716,822-3
25 Oct 2026, 01:1016,825-14
22 Oct 2026, 23:0116,839-1
21 Oct 2026, 17:3616,840+3
20 Oct 2026, 11:0916,837+4
19 Oct 2026, 08:2816,833-16
18 Oct 2026, 07:5616,849-3
17 Oct 2026, 08:0616,852-8
16 Oct 2026, 05:0816,860-2
14 Oct 2026, 04:5616,862first reading

Engagement

31 posts held, back to 19 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.3%
avg views ÷ 16,793 subscribers
Avg views / post
3,410
7 posts measured
Reaction rate
0.16%
reactions ÷ views · ER floor
Posts in window
7
of 31 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 5 of 7 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 4 November 2026
Posts held31 (19 July 2026 – 4 November 2026)
Views total23,890
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:25 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

Video runtime
1h 16m
Average length
4m 14s

Measured directly from 18 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

201 reactions across 23 posts, in 3 distinct kinds. The most used accounts for 76.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15476.6%
👍3316.4%
😭146.97%

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 25 of the 31 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 201 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 19 July 2026 to 4 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: 0 of 7 posts held from the last 30 days (0%) 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).

4 Nov 2026, 01:04 UTC≈1,990 views0 reactionsread 5 November 2026
Video

罗老师都感觉很离谱的案件 贵州男子觉得自己老婆太漂亮,于是假装陌生人,头戴猪皮面具强奸了自己的老婆。 这是一个真实的案件,男子为了让妻子老实本分,于是便想出了这么个毁天灭地的损招,甚至让身经百战的罗翔老师都虎躯一颤。 2013年12月8日早上9点多,福建泉州某茶叶厂内。女员工小燕正在宿舍整理东西,突然传来了急促的敲门声。还没等她把门打开,一个手握尖刀,头戴猪皮面具的男人冲了进来。还没等小燕反应过来,对方就将刀架在了她的脖子上。起初她还以为对方只是为了劫财,于是就将买菜剩下的35元巨款给了对方,并恳求不要伤害自己。 可没想到对方拿到钱后竟将自己捆了起来,之后又对自己实施了长达2分钟的侵犯。完事之后男子便急匆匆的提裤离去。见男子走后,小燕在悲痛中拨打了丈夫的电话。可没想到在这关键时刻丈夫竟然没接电话,孤立无助的小燕立即找到了工厂的管理人员。光天化日之下歹徒竟能跑到宿舍…

2 Nov 2026, 08:24 UTC≈1,370 views5 reactionsread 5 November 2026
Photo

📡:深圳高端首家男士spa体验馆 ⚡️ 😎😎😎😎😎🤓😛😎😋😛😎 ⚡:24小时在线预约 ⚡ 😛😋:一对一,二对一“女友服务”丝袜解压,全裸制服换装丝袜调情~私密场地,轻微SM全裸🐍吻,玩胸扣B舔逼等各种玩法,👅69激情,主动配合您全部动作指令,魔棒,可以任意满足哥哥,懂得都懂,不要过多聊这个!我的小嘴技师特别好哦😐,360度空中旋转双手暴力按头深喉; 😎😎😎😝😎😋🤓😛😍😍😍😍 更有👅多款成人双人情趣游戏道具配合让妹妹骚样难耐各种姿势娇喘喷口爆花式到店解锁更多玩法,如果有喜欢的情趣制服也可以穿给哥哥看!需要多出一次请提前告诉我,如果两次还没有尽兴三次也可以不在额外收费哦🤭需要提前告诉我哦!😎😛😛😛 ⚡️:😍😍 😎😎😎🤓😋😛😋 😛总频道:https://t.me/dy958888 😍深圳:https://t.me/tC78E_C5ib98NTgx ✨评分:💯 💫💫💫💫💫 😎😎😎😎😎😀😀😀😀 📱TG客服1:@by959288 📱T…

❤5

25 Oct 2026, 20:40 UTC≈5,500 views15 reactionsread 5 November 2026
Photo

再强调一遍,浏览外网或翻墙被派出所传唤,根本不用慌!!! 一般都是片警打电话约时间上门。见面主动说明来意,知道你翻墙,只要没有发表分裂国家言论,警察不会要求你解锁手机查看。你说看黄片警察表示那是个人意愿,别国内转发传播即可。很简单,警察也很有职责感,不会乱查的。 首先是网警从流量监控系统中标记了你,然后会通知你当地的派出所片儿警将你传唤问话。 你的不当言论,会被打印出来,放在你面前。你的手机,会要求解锁,他们会检查你在群里,聊天软件里还说了什么。 民警是很忙,但如果接到系统派发的工单,再忙也要处理,不然就一直挂在系统里,影响KPI了。 处理这种事,民警作为体制内打工人,他的自由裁量权很大的。你其实是增加他们工作量的一个小麻烦。只要好好配合,他们没必要跟你计较太多。 所以只要保证流程合规,上交资料完整,应付检查就行了。但你如果要装逼,…

❤15

24 Oct 2026, 17:45 UTC≈6,130 views5 reactionsread 5 November 2026
Video

百万支票探OnlyFans:那些创作者没说出口的事 有时候出击多了,会发现空洞无味,那不如试着看看这个圈子真正是怎么运转的吧。最近看了影视飓风怀谷带着100万支票去探OnlyFans的那期,全程像跟着他一起走进了一个既疯狂又真实的世界。 他们先见了个前5%的女生Sabrina,平时就是拍内容、跟粉丝聊天、接定制单,看着光鲜,实际工作强度不低。接着是个前1%的男生Levi,做同性内容的,以前是模特,现在住在房车里到处跑,健身、旅行、拍片,收入也是头部水平。还有个麦迪森,刚开始还挺正常,后来收入波动大,压力上来就往更大尺度走。 最让我意外的是后面揭的那些内幕。很多账号其实不是本人在聊,而是公司在运营,粉丝聊天直接外包给菲律宾的代聊团队,创作者和公司分钱。行业看起来钱很多,去年光粉丝付的就好几百亿,但真正能稳定赚到钱的是极少数人,大多数人都在卷、在焦虑,还有各种账号孵化公司和“导师”在招…

❤5

24 Oct 2026, 02:48 UTC≈3,680 viewsread 5 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5189261295

24 Oct 2026, 02:35 UTC≈2,520 views3 reactionsread 5 November 2026
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【湾区唯一】私享新体验——浅吟半裸亲密抚触式Sex性疗愈 不限次数深度释放。 这里是一个除了工作和家庭以外的第三空间,也是一个只属于你放下身心疲惫的地方,来这里,展示最真实的你,安心做你自己。无论你喜欢身体裸推,身胸漫游,情趣诱惑,抚触亦或任何外界或你自认为变态下流的性癖好,性经历和性幻想,都可以安心表达与满足。让释放自然而然的发生,真实即滋养。 「浅尝疗愈」700/80分钟 「深吟睡眠」998/100分钟 地址: 深圳市南山南油来福士广场附近 预约联系: @qyspa520 频道链接: @qyspa2026

❤3

21 Oct 2026, 01:28 UTC≈2,700 viewsread 5 November 2026
Photo

💖龙华/福田/宝安/南山库洛米嫩妹丝足SM抓龙筋 #龙华 #福田 #宝安 #南山 #丝足 #Sm #抓龙筋 深圳独家05后高颜值嫩妹抓龙筋 适合足控 颜值控 SM控 兼顾颜值和手法足艺 本人照片 假一赔十 手法专业 1.全身推油 2.三角区专业抓龙筋 3.丝足足交调情 4.丝足/双手高潮释放 ✅A套餐 598 70分钟 ✅B套餐 698 90分钟 ✅C套餐 998 120分钟 ❤️D套餐 部分老师的SM套餐 关注群组了解更多 🔥火热聊天抽奖福利群 @szklmgp 南山预约 @szmtxnspm 南山频道 @szmtxpd 龙华预约 @szklmpm 龙华频道 @szkuluomipd 福田预约 @szmldpm 福田频道 @szmldpd 宝安预约 @szjybapm 宝安频道 @szbajypd 半裸店预约 @szyggblpm 频道 @szyggpd qq:1591914964

1 Sept 2026, 16:07 UTC≈2,490 views14 reactionsread 3 September 2026
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一个普通狼友的真实内心独白 是不是一个人在深圳上班真的很苦,一整天的情绪都内耗在了工作上,好不容易今天下一次早班,就一个人躺在出租屋里。 游戏也打腻了,之前还有兄弟陪着一起打游戏,现在兄弟们都结婚了没时间了,游戏也不想碰了。 从租的房子的窗户往外看,大道上车水马龙、商业街人声鼎沸、放学的高中生成群结队,好像人人都有嬉笑怒骂的伴侣,就自己没有。窗外是热闹的世界,而窗内是冷清的自己。 翻遍通讯录里翻不到一个可以诉说寂寞的女人,想说说情话骚话,也没人说。 去约老师吧,由于是意外下的早班,没有提前预约也约不到满姐,就临时约了个普通老师,结果上了个大黑车,态度差得像是要倒贴去哄着她,妈的,三四天的工资又打水漂了。 本来想找个老师温存一下,排遣一下寂寞的,结果从黑车的教室里走出来的时候更寂寞了,不仅寂寞,更像傻逼,花1000找负体验的大傻逼。 …

😭14

31 Aug 2026, 16:34 UTC≈4,160 views18 reactionsread 3 September 2026
Video

景甜、张继科,性工作者的爱情 写这篇文章的是之前《人妻约会指南》的作者李新野,链接在这( https://t.me/SZHY1/320 ),本文原文链接( https://sinyalee.com/blog/?p=1343 )。 孙宇晨和景甜的事件中,很多人嘲笑孙哥,说北大学生被运动员打败了。这种标签化、娱乐化的解读是对景甜的不尊重,也没有理解景小姐的心理。 孙哥说,景甜16岁就被大佬包养。然后景小姐说,她从来没有为金钱出卖过“爱情与灵魂”。他们两个都是诚实的人,都没有说谎。 16岁的景甜被大佬开苞的时候,她只是贩卖自己的身体,并没有贩卖自己的感情。而当大佬玩腻了然后向社会输送人才之后,景甜才开始谈恋爱。所以,景甜的初恋是张继科,而不是那个十六岁给她开苞的大佬。 很多人不了解女性心理,更不了解女性性工作者的心理。我细细给你们解释一下。一般对女人…

❤18

30 Aug 2026, 06:24 UTC≈5,570 viewsread 3 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5189261295

30 Aug 2026, 06:12 UTC≈5,490 viewsread 3 September 2026
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坐标: #南山 艺名:樱花境·疗愈セクシー (原幻境抓龙筋) 纯口碑,好评推荐💋 频道:https://t.me/yhuajzlj88 个性标签:#治疗型疗愈抓龙筋 #舒缓精油SPA #前列腺前高开发 #脱衣舞 #养生瑶浴SPA #丝足入魂 #魅惑变装 #边缘脱敏训练 龙脉唤醒,突破腺制,针对性功能障碍,阳气不足,手淫过度,阳痿早泄,性欲低,而且特别敏感,秒射,啪啪想延时的宝宝。治疗型疗愈抓龙筋手法可以促进生育能力,疏通经络,缓解身心疲惫,增强免疫系统,有效改善以上问题,效果显著❤️ 细致的服务,贴心的享受。极致诱惑,手法专业。既可疗愈,又能体验老师的娇喘,白皙嫩滑的肌肤,每一寸都散发着迷人的吸引力,高挑的身姿和完美曲线,释放出无限的魅力,在激情中绽放,欲罢不能,私享独处的浪漫🥰 🧑‍🎓快速预约: 私聊:@Yhuaj520spa QQ : 3544946767 v x : mojunru020 添加请备注:樱花🌸…

28 Aug 2026, 05:15 UTC≈8,020 views14 reactionsread 3 September 2026
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上面的文是孙割的现实魔幻主义小作文( https://t.me/SZHY1/1045 、https://t.me/SZHY1/1046 ),在具体的总结下孙宇晨写的景甜的瓜: 某女星是孙宇晨惦记了十九年的白月光。2007年,刚进入北大的孙宇晨在QQ广告中看到他,保存了她的模糊照片,还在校内网上给她发送好友申请,只写了“你好”,但她没有通过。此后十九年,无论更换多少设备,他都一直保存着这张照片。 孙宇晨早年生活拮据,买一件150元的羽绒服都要犹豫三天。与此同时,她已经获得《战国》《长城》等巨额投资和顶级明星资源。孙宇晨后来创业致富,曾经在赚到十亿、一百亿时想过,自己到了什么程度,她才会接受当年的好友申请。 十九年后,两人在瑰丽酒店第一次见面。孙宇晨发现自己没有预想中紧张,因为他见到的不只是现实中的她,也是自己幻想了十九年的白月光。之后她想看《疯狂动物城2》,要求放映厅里只能有他们两个…

❤14

Showing the 12 most recent of 31 posts we hold for @SZHY1. 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

@SZHY1 edited 1 post 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
9 August 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @SZHY1 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
10 August 2026
Most recent seen missing
11 August 2026
Median time before seen missing
41 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

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳·黑鸦社” (@SZHY1), 16,793 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/SZHY1.

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.