Channel
@SexIndustryAcademia
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
54subscribers
+33 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004300698144 |
|---|---|
| Type | Channel |
| Username | @SexIndustryAcademia |
| Created | 16 June 2026 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 4 times, most recently 19 September 2026 |
| On Telegram | t.me/SexIndustryAcademia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 02:36 | 54 | +17 |
| 16 Aug 2026, 21:05 | 37 | +6 |
| 11 Aug 2026, 03:16 | 31 | no change |
| 9 Aug 2026, 19:51 | 31 | +10 |
| 9 Aug 2026, 04:15 | 21 | first reading |
12 posts held, back to 16 June 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
7 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 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 6 of the 12 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 16 June 2026 to 9 August 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.
母猪们赚钱了，养几头这种薄肌会穿搭的公狗不香吗？女的稍微打扮打扮发个小红书、抖音，私信的男的多得是，啥样子没有，凭什么非得在风月场找什么爱情呢？？客人就是客人，是用来爆金币和赚钱的，就像副本里的NPC一样，刷掉然后掉落武器和装备，你难道会对NPC动什么感情吗，你只想快点通关赶紧结束。 但对于身高183，体重70～72公斤的薄肌体育生年轻型男而言，母狗这种生物无非特别喜欢主动把头凑过去舔鸡儿，然后摸摸腹肌，闻闻胯下那充满雄性荷尔蒙的香气，公狗哪怕把那青筋暴起充满些许汗水的大手死死按住母狗的头，母狗还认为这是主人的一种恩赐和奖励，有一种被当作玩具狠狠使用的性快感，这种感觉是没有办法和普男联结产生的，普男们的身高、体型、面部特征都无法产生那种强烈的性冲动和性欲望。
❤2
在我看来，女仆店无疑是风俗业最为畸形、充斥着雄性竞争的一个小圈子。 我最早记得去玩女仆店的时候，还是在大众点评上找的。那时候也没有充斥着各种所谓的黑话，什么“建模怪”、“哥布林”、“超大”乱七八糟的。价格大概是600一小时，可以亲嘴摸胸，除了不能摸妹子下面以外，至于真正的性行为是什么都没有的。 我第一次去玩，是在一个商业写字楼里。一个男前台接待了我，他说他是刚被聘请过来的店长。我在等待期间，他还跟我八卦说自己店里的几个妹子都被客人私下撬走了。不过他说这话时倒是没有什么痛苦的表情，反倒有点骄傲，仿佛自己做了红娘牵线搭桥，功德积分为此上涨了。不过我对此并没抱有太多幻想，说实话，那时候我的年龄大概比服务我的女仆还要小好几岁，她倒像是一个大姐姐在循序渐进地诱导我。可惜那时候我实在是过于羞涩稚嫩了，没有做出任何出格的举动，甚至连胸都不敢摸，而且第一次服务我的那个女仆也并不好看，导致我欲望也没那么强烈。 我其实除了玩正规的女仆店以外，…
❤1
风俗社会学 pinned «📖 创刊词 | 消费主义、精致利己, 短视, 与中产做题家的“金币博弈” 传统的风俗业往往与客户的暴力、威胁、恐吓、拖欠账款为核心特征，通常站在传统的人道主义视角下认为性工作者为剥削受害的弱势群体。 但是在 TG的嫖娼风俗业 之中，却神奇地出现了某一些倒置的现象，我愿意称之为反方向的“钟”。 服务的提供者本就在限时掐表的时间之内二次限定时间，只要超出了所限定的时长（如 18分钟 必须出货，或者 20分钟必须出货），客户一旦完不成其指标考核，就需要提供额外的金钱来作为劳动补偿，或者只能穿衣走人。 名义上的…»
众生自有根器，持优劣为次第，可乱来不得，鸡就是鸡，你别管她们到底怎么包装，什么名校毕业生、服装模特、上海戏剧学院特长生又或者心理咨询师乱七八糟的头衔，我就问你一个基本的问题，如果她们真的接触过正规的高等教育训练，以前有的好的职业和学业的话，谁又敢拉下脸面真的做这个东西呢？？ 很多人被一些标签唬住和吓倒了，这就好比一个人去看脱口秀表演还得关心单口喜剧演员是否是名校毕业、是否有各种证书和头衔，但真正重要的难道真的是那个身份和标签吗，而不是首先他能把你开怀大笑吗，能让你感到开心吗？ 🐔也是同样如此，运营和包装固然是一方面，但是真正能够留住人的肯定还得是🐔的颜值和待客、给人的观感(也就是所谓的感觉)。对于某些"昂贵"的标签而言，其实更多的是一体多面，举个例子，稍微有些姿色的女孩刚开始肯定是去杭州四季青那边去做个服装模特，想着每天辛苦工作攒一笔钱，以后买车买房, 但是最后发现在淡季的时候并没有多少单子，也实在是吃不了那个苦，虽然“模特…
❤3
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很多野🐔整天物化客人，甚至认为哪怕客户有盒也不敢报警怂得一批，客人不报警是得不偿失，没必要为了这点事情跟你这头🐔一起被关进局子了，但是很多🐔以此为荣，甚至更加彻底物化和工具化客户，所以下次碰到这种事情千万不能怂，你越是懦弱她们越是志得意满，赚了钱之后给自己买豪车豪宅，看客人气喘吁吁、千里迢迢来到她的房间的时候，心想为了我下面那点东西竟如此饥渴和落魄时，内心的傲慢和优越感更是到达了顶点。 殊不知自己因为转介绍很可能会因为一次意外被送进局子，殊不知当了妓女之后再之后的正常生活之中一直要避人耳目，躲躲闪闪，生怕别人发现自己的过去，殊不知自己只是风俗业里面的耗材，耗材固然有A、B、C、D的等级之分，但是还是逃不过那高周转、赚快钱、用自己的身体健康和人身安全来换取金钱的方式，正常人没人内心真心尊重这帮妓女，嫖客们无论内心怎么想，很多人至少对她们没多少恶意和歧视，但是她们对利用这种善意来维持自己的虚荣和达到自己的目的，低尊严低自尊的人只会…
❤1
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对于一些大圈野🐔, 你越怕她们越猖狂,她们就是拿捏住了这一点,知道体面有工作和家庭的人害怕把事情闹大,这些野🐔就是这个圈子的毒瘤和蛀虫,太多公主病了,自己要求一大堆,还什么老的丑的肥的不接,什么低于2700,2800的不接,也不想想看自己能给客户带来什么,自己长什么逼样子,自己生活作息和生活习惯如何。很多人进电梯我观察都是刺溜一下子,像老鼠一样,仿佛做了什么见不得人的事情。进房间之后呢伸手就是管你要钱,付完钱之后情绪价值和额外服务也没有,就是希望你赶紧出货走人,这还不如最简陋的一些快餐呢。 这是为啥呢,不是说好大圈吗,怎么颜值和服务在某些程度上还不如中圈和自聊呢?说句大实话, 现在大圈的门槛因为AI和抖音小红书滤镜导致门槛越来越低了,资源良莠不齐,野生🐔生怕在明处的光照之下多看其几眼,客人感到不满意就把她给推掉了,所以不敢落落大方和昂首挺胸地跟客人谈笑风生。另外正也知道自己是通过PS和美图秀秀假照片和假视频起家的,多待一分钟就…
🐔被关注，就觉得自己值钱，被送钱，就觉得自己有魅力。久而久之，鸡可能不单单是为了钱，反而会去享受那种我能让别人排队、送礼、求我的权力的快感。 赚钱的同时反而能控制别人的注意力和行为，谁能联系她，谁要付定金，谁被回复，谁被拉黑，谁愿意为了证明诚意多花钱。每一次有人追着她跑，都让多巴胺系统疯狂地分泌快感和让交感神经系统更加的兴奋，传统的漫长的学习和等待需要持续性的自我提升和迭代，而这种长期没有确定性的回报的路径，在🐔看来则是一种笨途径和笨的方法，她们更加倾向于那种赌上一切奋不顾身的梭哈和暴富以及高杠杆，这其实跟卖淫是异曲同工之妙，都是用高风险来获得高回报的收益，只不过资本市场更加的冷血和无情，没有了“哥哥”们的你侬我侬和含情脉脉，🐔们在铁血的镰刀之下卑微渺茫的就跟她们曾以为自己逃脱出来的低端圈子的韭菜们别无二致。 普通上班赚不到那么多钱，同时也没有那种即时权力快感，甚至作为新人，还要被老人指导和教育，入职了几年之后大部分人依旧是…
📖 创刊词 | 消费主义、精致利己, 短视, 与中产做题家的“金币博弈” 传统的风俗业往往与客户的暴力、威胁、恐吓、拖欠账款为核心特征，通常站在传统的人道主义视角下认为性工作者为剥削受害的弱势群体。 但是在 TG的嫖娼风俗业 之中，却神奇地出现了某一些倒置的现象，我愿意称之为反方向的“钟”。 服务的提供者本就在限时掐表的时间之内二次限定时间，只要超出了所限定的时长（如 18分钟 必须出货，或者 20分钟必须出货），客户一旦完不成其指标考核，就需要提供额外的金钱来作为劳动补偿，或者只能穿衣走人。 名义上的 60分钟在层层克扣和压榨下疯狂缩水。实际那紧迫的交合时间，不仅让客人的生理冲动置于一个极其焦虑的倒计时中，严重影响心理体验，还让这种防止客户占便宜的“防御计算心理”，让一场打着“女友感”和“恋爱感”的交易变得更加赤裸和功利。 更有甚者，禁止手指触碰其胴体与生殖器，用 1P罚款的形式对那些“不遵守规则”的客人进行惩罚。本…
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Channel created
Showing the 12 most recent of 12 posts we hold for @SexIndustryAcademia. 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.
Named by 1 registered channel — 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“风俗社会学” (@SexIndustryAcademia), 54 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/SexIndustryAcademia.
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.