BAGEL SO GOOD
BAGEL SO GOOD「BAGEL SO GOOD 贝果真不错」是由两位常年在海外生活的主播发起的一档泛文化、片刻人生分享的播客，每个月的第一个周五20:00更新。 来信方式：bagelsogood2022@gmail.com
| Publishes | Monthly | Episodes | 6 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Categories | HistoryArtsVisual Arts | ||||
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本期节目是两位主播时隔两个月后重聚一起的录制，我们发现到现在一共4期正式节目，基本都是在讲吃吃喝喝。既然如此喜欢捣鼓吃饭这件事，我们想从这期开始，在每期开头讲一个跟食物有关的故事。这期前半段苏苏铺开关于“按部就班之后，还有什么？”的思考，Lanxin则尝试用「情动理论」进行拆解关于无意义感的探讨。引用作家Rebecca Solnit的话：To lose yourself: a voluptuous surrender, lost in your arms, lost to the world, ... more
本期节目是录制是Lanxin单人主持，这是接着上期苏苏和她朋友聊咖啡后的下期，我邀请了朋友Yijia做客。食物是我和Yijia多年来维系感情密不可分的纽带，每每想起她都能唤醒之前一起做过的吃过的菜以及发生的具体时间和场所。在伦敦不长不短的一个半月旅居日子里，我们计划一起在初夏从东伦敦的Broadway Market开始进行一场rustic dining club实践。本期播客从我们的食物bond出发，前半部分详细描述了在Yijia家 (Chez Yijia) 做的几道菜；以及之后Yijia分享了... more
本期节目是由苏苏单人主持。因为兰馨在伦敦旅居中，我们决定分别找各自的一位朋友，前后共录两期。这期其实计划上周五就发出的，但因为上传平台维护的缘故晚了几天。
本期嘉宾：龚智慧（Instagram @gongbokai）
收听提示：
02:30 苏苏重新联系上初中老友，有能够一起听歌的人不容易！Kendrick Lamar的新专辑中（没放进配乐里）的歌叫We Cry Together8:39 录这一期之前疯狂爆笑，有多久没见？搬到北京怎么当上咖啡师？为什么决定当咖啡师？14:15 伙伴到店长的转变，... more
本期节目因为Lanxin个人原因延播2周，在此向催更的听众朋友们鞠躬道歉，凡是在此期间催的朋友和我的partner Susu请允许我下次下次见面请吃bagel。现在是下午3点52分，我在斯德哥尔摩到伦敦的飞机上潦草写了下这期shownotes。
收听提示：0:30-25:23 Karen的电影研究以及Lanxin和Karen最近在忙啥25:23-48:49 常备电影零食有什么？48:49-58:13 什么是艺术电影？58:13 看电影对你来说意味着什么？
谈话中提到的不完整内容： 书：安德烈·... more
Reviews
- 为什么没有再更了？
为什么没有再更了？
Apple Podcasts5为什么没有再更了？
China2 years ago - 有的人声音大有的声音小
听这个播客就是让人充满幸福感！缺点是声音不太清晰，有的人声音大有的声音小，经常听不清在说什么… 好像是中文谈话类播客的共性了，相比之下，我听过的英文播客就都很清晰
Apple Podcasts4次方的CookieChina2 years ago - 超级nice
每次点开前、都会期待今天是什么内容
Apple Podcasts5Mmokei发布中China3 years ago - 一起来看看我们的新作品吧！
一起来看看我们的新作品吧！
Apple Podcasts5可还行快好快哦嘻嘻好China3 years ago - 喜欢
刚听完ep1~好喜欢，就是很轻松的感觉（回答一下最后的问题，核酸排队和吃早餐的时候听的^^） 听完ep2之后的小记^ω^我本人也是比较经常看电影的人，但其实不怎么会专门花时间了解电影的背景或者美学，表达的思想什么的，感觉也会是很有趣的事情，或许有空的时候可以深入了解一下！
ep3很有趣耶！听完之后真的好想喝咖啡
Apple Podcasts5乌鸦泡麦片China3 years ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #85 | China/Arts/Visual Arts |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
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| Professions | Age Range | Household Income | |||
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