YuanZhuoPai 圆桌派 Round table Faction，锵锵行天下 qiangqiang xing tianxia - 碎碎念
圆桌粉UPDATE： 2026-4-26
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圆桌派的死忠粉，经常会在走路，开车，买菜做家务的时候听。鉴于大部分都是视频节目，很不方便收听，所以转换成音频。
窦文涛的提问和话语每次听都对人生有启发。
目前收录了第三季是2018年做的节目，这么多年采访的内容和现在还很适用。
| Publishes | Twice weekly | Episodes | 179 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  Chinese (Simplified) | Number of Listeners | Categories | Comedy InterviewsComedyRelationshipsSociety & Culture |
Listen to this Podcast
Latest Episodes
嘉宾： 胡泳，马家辉，周轶君， 窦文涛
这段访谈主要探讨了养老社会基础设施、银发经济与现代存在主义。 节目后半段，谈话的维度从个体的“爱恨情仇”拔高到了整个社会的制度、空间改造以及人类对抗衰老的哲学终极命题 。
胡泳提到了中国老龄化最早的城市（如北京、上海）所总结出的养老服务比例——9073模型：即90%的老人居家养老，7%依托社区养老（本质还是在家），只有3%的人能进入专业养老机构 。而在泰康之家这样顶尖机构里讨论养老的他们，其实只代表了那3%金字塔尖里极少数中产及高收入人群，庞大的二三线... more
嘉宾：胡泳，马家辉，周轶君，窦文涛
当人走到终点才看懂生活，如果我们能够提前看着这一点，也许会对当下有很大的帮助。 这次访谈从老年人的身体状况可精神状况，养老机构，深刻探讨了哲学对抗与死亡的终极意义。
胡泳老师从技术与生理的现实冲突这一视角，分享了许多关于老年人身体机能衰退、进而被现代数字化社会“抛弃”的硬核细节。 阿尔兹海默症或高龄老人的面部肌肉往往会逐渐僵硬、塌陷，或者因为长期卧床导致容貌发生较大改变。无法通过“人脸识别”。 很多老人的皮肤会变薄、变干，指纹会逐渐磨损甚至完全消失，指纹... more
嘉宾：刘索拉，窦文涛
这是这次访谈的最后一部分。
刘索拉谈到了身体能量在现场表演中的关键作用，在利益和艺术的冲突中她怎样保持平衡。她指出如果乐手为了减肥而节食、导致身体营养不良，整个乐队就根本无法散发出灵魂感，也弹不出那种厚重的低音（Bass）。随后，话题转向了社会关系与性别意识。她回忆起母亲那一代人对她独立性的严格培养，使她一生都将男女视为完全平等的个体，从不依赖传统的女性撒娇手段。
最后，两人以对衰老、疾病和艺术的共同哲学思考结语。他们一致认为，追求“流芳百世”已经是一种过时的幻觉；... more
嘉宾：刘索拉， 窦文涛
这是本次访谈的第二段。
从蓝调延伸开来，刘索拉讲述了她融入纽约爵士乐圈子的经历。她极为赞赏爵士乐那种自由解放的精神——在这里“没有真正的错误”，乐手们演奏的就是当下脑海中所想的纯粹瞬间。窦文涛则将这种有机的自由与商业流行乐、摇滚乐进行了对比，认为后者是纯粹为了市场成功而打造的、刻板的“方盒子音乐”。刘索拉进一步反思了自己最终拒绝英国主流商业包装和国内流行明星光环的原因：因为这些商业运作消耗了她的精神，强迫她去迎合某种机器式的公式。
选择艺术自由意味着失去巨大的商业... more
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #234 |  United States/Comedy/Comedy Interviews |
Apple Podcasts | #186 |  Canada/Comedy/Comedy Interviews |
Apple Podcasts | #56 |  Germany/Comedy/Comedy Interviews |
Apple Podcasts | #122 |  France/Comedy/Comedy Interviews |
Apple Podcasts | #156 |  Italy/Comedy/Comedy Interviews |
Apple Podcasts | #3 |  Singapore/Comedy/Comedy Interviews |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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