宬园
是提拉米苏_《宬园》是一档讲述历史故事和介绍书籍的节目，可以让更多的人了解历史，爱上阅读。
【宬chéng】：古代藏书的屋子。后专指皇室藏书的地方。
| Publishes | Twice monthly | Episodes | 41 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Categories | LeisureHistoryHobbies |
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Latest Episodes
假设你穿越到1990年的日本，刚大学毕业，发现所有公司都不招人了，房贷还背着，你会怎么活下去？日本泡沫经济，从狂欢到崩盘，再到"失去的30年"——这不是遥远的历史课，而是一面镜子。房价、就业、考公热、低欲望社会、35岁危机……每一个关键词，都像在说我们自己。但镜子不是预言。相似不等于相同，参考不代表照搬。 本期节目带你完整走过那条路，然后自己判断下一步该怎么走。---------------------------------------⏱️ 时间轴 & 内容要点01:42 泡沫是怎么吹起来的？... more
同样是清朝帝王，为何国运天差地别？决战历史之巅！清朝帝王篇，带你看懂大清兴衰。劳模雍正勤政夯实基业，长寿乾隆坐拥盛世繁华，可到咸丰一朝，鸦片战争击碎繁华，一代王朝就此走向命运转折。--⌚️时间轴--01:16 高能量男孩！雍正的一天开始啦～09:01 乾隆的盛世之下，是民不聊生的内陷11:46 乾隆的养生之道：饮食很重要15:44 现代健康可以借鉴乾隆的地方有。。。20:25 道光：爷爷！你过好日子，怎么没想过我？23:40 小人爱财，没有礼貌：花式贪污手法30:36 节流，无法挽救破碎的王朝3... more
看武则天如何从武家幼女，一步步踏上大唐后位！ 本期从她的家族发迹讲起，还原她侍奉太宗、入感业寺为尼的坎坷过往，更深度解析她如何联合李治、智斗权臣，最终废掉王皇后与萧淑妃，成功封后。宫斗权谋与君臣博弈，尽在本期！⌚️ 时间轴00:00 开局商贾女！武则天的逆袭剧本太疯批03:27 预言杀疯了！入宫讨好太宗却惨遭翻车10:56 姐弟恋天花板！李治为啥离不开大姐姐16:17 一首诗拿捏皇帝！王皇后亲手送对手回宫20:56 宫斗学霸上线！装乖收买人心反遭围殴24:02 女儿早夭疑云？武则天的狠辣藏不住了... more
如果你觉得上班的累，不全是因为工作，而是因为人，那你可能需要借魏晋一杯酒。
这一期，我们从《世说新语》和《未尽的快乐》中写到的魏晋名士的故事出发，聊职场里的权力、同事间的友情、真诚为何变得稀缺，以及人在不完美环境中如何自处。或许快乐并不来自逃离现实，而是在关系之中，找到不拧巴的活法。
本期串台嘉宾：《破罐不摔》雨霖铃
⌚️ --时间轴--
00:00｜魏晋人是怎么理解快乐的
从《魏晋的快乐》聊起，为什么真诚和内心安定，在任何时代都是稀缺品。魏晋的快乐观，正在精准回应现代职场的不确定与焦虑。
03... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #221 |  Hong Kong/History |
Apple Podcasts | #227 |  Singapore/History |
Apple Podcasts | #250 | China/History |
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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Which podcasts are similar to 宬园?
These podcasts share a similar audience with 宬园:
1. 一劳永逸
2. 声动早咖啡
3. 天真不天真
4. 有啥说啥｜用历史解码当下
How many episodes of 宬园 are there?
宬园 launched 2 years ago and published 41 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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