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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 · Citations · Cite this entry

15,967subscribers

-288 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 live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 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 why it has no browse page of its own yet.

Growth

15,96716,25516,1117 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 subscribers7 August 202618 September 2026
34 measurements spanning 42 days, net -288. 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 15,924–16,298 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 16:3615,967-18
16 Sept 2026, 06:5515,985-2
14 Sept 2026, 15:2015,987-11
13 Sept 2026, 02:5815,998-17
11 Sept 2026, 05:5816,015-11
8 Sept 2026, 08:3916,026-5
5 Sept 2026, 06:5916,031+4
3 Sept 2026, 07:4616,027-13
2 Sept 2026, 04:5216,040+4
1 Sept 2026, 07:0716,036-3
31 Aug 2026, 07:2316,039-6
30 Aug 2026, 05:1316,045-2
29 Aug 2026, 03:1216,047+10
28 Aug 2026, 06:2816,037-3
27 Aug 2026, 07:3416,040-8
26 Aug 2026, 04:5916,048-11
25 Aug 2026, 07:3216,059+3
24 Aug 2026, 05:3816,056-14
22 Aug 2026, 12:5516,070-5
21 Aug 2026, 01:0316,075first reading

Engagement

24 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
43.5%
avg views ÷ 15,967 subscribers
Avg views / post
6,950
11 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
11
of 24 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 7 of 11 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 1 September 2026
Posts held24 (19 July 20261 September 2026)
Views total76,440
Reactions total93
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:12 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
26m 27s
Average length
1m 39s

Measured directly from 16 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

173 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 72.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12672.8%
👍3319.1%
😭148.09%

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 20 of the 24 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 173 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 19 July 2026 to 1 September 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

1 Sept 2026, 16:07 UTC≈2,490 views14 reactionsread 3 September 2026
Photo

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

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30 Aug 2026, 06:12 UTC≈5,490 viewsread 3 September 2026
Photo

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
Photo

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

28 Aug 2026, 05:11 UTC≈7,290 views10 reactionsread 3 September 2026

2026年1月2日,索尼娃贾尼,新的一年,我向妈妈求婚了。 是1月1日早上决定的。戒指在香港。岛上没有卖戒指的地方,助理坐水上飞机去了马累,下午回来,戒指装在一个酒店的信封里。 妈妈说,钻戒太小了。 妈妈说,没事,以后补个大的。 另外,你能来北京吗? 我沉默了。 她以为我不想去。 妈妈说,你为什么对我这么好。 我说因为我喜欢你。 她说,那你以前对别人也这样吗。 我说没有。 她笑了一下,没说话。 有一天早上我醒得早,她不在床上。 我出去看,她坐在露台上,对着海,整个海是黑的。没开灯,天还没亮。 我问她怎么起这么早。 她说,我在算日子。 我说算什么。 她说,你回去睡吧。 我在她旁边坐了一会儿,不知道说什么。后来我回去睡了。 我再醒过来的时候她已经化好妆了。 在马尔代夫待了十四天,没有一个人认出她。 第十三天晚上在餐厅,她把墨镜摘了。过了一会儿,帽子也摘了,放在桌上。她就那样坐了一顿饭。隔壁桌

10

28 Aug 2026, 05:11 UTC≈7,050 views18 reactionsread 3 September 2026
Video

我的女友景甜 一颗卵子的重量,三点五微克。 五千万美元现金的重量,两点五吨。 景甜在蒙太奇拉古纳海滩的电话里向我要的是后者,抵押的是前者。 她去那里是为了取卵。代孕的孩子预计2027年出生,快一点的话还能属马。这是她主动提的。到了诊所,她说没有五千万,不取。 蒙太奇拉古纳海滩在海崖上,底下是太平洋。那一层包下来,三十天,一百万美元,为了她的隐私。她住了八天就走了。 剩下的二十二天,酒店的清洁工每天照常上去。是我的助理讲的,她去交钥匙的时候撞见过一次:一个墨西哥女人推着车,一间一间进,换毛巾,擦台面,把被角掖好,退出来把门带上。做完一整层,两个小时。 助理问她,没人住,为什么还要做。 她说,登记上写着有人。 一座失去皇后的凡尔赛宫。 我突然意识到,景甜喜欢这个。景甜喜欢一个地方因为她而空着。什么都不发生。 与蒙太奇拉古纳海滩一起空置的,还有一架湾流G700尴尬地停在Van Nuys,机组每天照常报到。 第八天

18

25 Aug 2026, 18:03 UTC≈9,730 viewsread 3 September 2026
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免费提供制服👗蕾丝👙黑白袜👠 半裸和全裸两种全面且深度的体验(胸手足出) 日式舒缓(🛁大浴缸泡浴)➕玉足戏水 高能日本特色AV椅互动助浴 梦境级前列腺高潮体验、穿插轻度sm体验😌 独创二代抓龙筋手法、冰火石三角区经络疏通、丝袜捆绑脱敏、三起三落龟责脱敏训练、AV级寸止榨精,引导了解和运用自己的副交感神经系统,助您坚挺、延时😉 💼为您量身定制专属的放松仪式。我们的理疗,不止于“放松”,更追求一种极致的“颤栗”与“共鸣”💯 “融合东南亚古法按摩与瑞典深层肌理放松” “采用定制调香精油” 🦋「秘境探幽」全身精油SPA🔞 🦋「暗香浮动」深度放松护理(时间内不限次数) 🦋「灵欲交融」双人四手共舞(加500) —— 这里不设边界,只为您提供极致的沉浸💞 ⚡️贵族尊享:799/70分钟 ⚡️皇室经典:999/90分钟 🧸营业时间:中午12点到凌晨⭐️ 上课预约地址:南山、福田kkone 详情咨询TG☎️:@Eve_py 双向机器人TG

23 Aug 2026, 06:36 UTC≈8,510 viewsread 3 September 2026
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23 Aug 2026, 06:21 UTC≈7,430 views0 reactionsread 3 September 2026
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南山区思欲 抓龙筋 半裸亲密抚触式Sex性疗愈 位置: 深圳 #南山 服务: #胸推 #抓龙筋 #丝袜制服 #漫游 私聊: @Lxspa520 频道: https://t.me/Lxzlj52000 【湾区唯一】私享新体验——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, 600/60分钟 800/80分钟 900/100分钟 微信:13128295351 QQ:3544946767 地址: 深圳市南山南头古城附近

20 Aug 2026, 17:30 UTC≈10,700 views19 reactionsread 3 September 2026
Video

有人问我私信问到什么时候才能上岸。 我跟说句最实在的,我见过很多女孩熬了一年又一年。天天嘴上说着要上岸,但其实根本没搞懂,到底什么才叫上岸。 以为:存点钱、换个城市、不做这行了,就叫上岸。其实根本不是。真正的上岸,不是换个地方躲起来,也不是单纯不干这个那么简单。 真正的上岸,是经济 生活 心态都上岸。 第一层:经济上岸不用再为了房租、还债、生活费,逼着自己熬夜、陪笑、忍委屈、被客人拿捏。手里有存款,有备用金,哪怕两三年不上班,也饿不着、慌不着。不用再依赖赚快钱过日子,敢离开、敢停下、敢重新开始,这才是最基础的底气。 第二层:生活作息上岸不用再昼伏夜出,黑白颠倒。不用再天天化浓妆、烟酒缠身。白天晒太阳,晚上按时睡觉,三餐规律。 第三层:心态正常不用讨好任何人。穿普通衣服做干净普通人,不用再伪装、不用再演戏,简简单单做自己,这也是

👍19

11 Aug 2026, 06:43 UTC≈12,800 views2 reactionsread 1 September 2026
Photo

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2

Showing the 12 most recent of 24 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

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

“深圳·黑鸦社” (@SZHY1), 15,967 subscribers as measured 18 September 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.