
Sign up to save your podcasts
Or


Hello from Neera Tanden’s shoe closet!
0:00 – The gang’s back together, with geographic and pandemic updates.
10:00 – Data recently compiled by National Nurses United tell us that nearly a quarter of registered nurses in the US who’ve died from the coronavirus are Filipino. Why this outsized fraction? Can histories of colonization and migration, as well as labor economics, help us make sense of the numbers?
49:07 – In the first of what we hope will become a recurring a segment, we talk about a classic Asian American film: Justin Lin’s “Better Luck Tomorrow.” Does it hold up? Why did Roger Ebert once defend it so vigorously? And how does it compare to Lin’s more famous franchise (“Fast and Furious”)? To “corny” immigrant literature?
Our next movie talk, a few weeks from now, will be on “Chan is Missing.” Watch along with us!
Thanks, as always, for listening and spreading the word. Please send feedback and audio questions to [email protected] or @ttsgpod.
By Time To Say Goodbye4.5
410410 ratings
Hello from Neera Tanden’s shoe closet!
0:00 – The gang’s back together, with geographic and pandemic updates.
10:00 – Data recently compiled by National Nurses United tell us that nearly a quarter of registered nurses in the US who’ve died from the coronavirus are Filipino. Why this outsized fraction? Can histories of colonization and migration, as well as labor economics, help us make sense of the numbers?
49:07 – In the first of what we hope will become a recurring a segment, we talk about a classic Asian American film: Justin Lin’s “Better Luck Tomorrow.” Does it hold up? Why did Roger Ebert once defend it so vigorously? And how does it compare to Lin’s more famous franchise (“Fast and Furious”)? To “corny” immigrant literature?
Our next movie talk, a few weeks from now, will be on “Chan is Missing.” Watch along with us!
Thanks, as always, for listening and spreading the word. Please send feedback and audio questions to [email protected] or @ttsgpod.

516 Listeners

1,460 Listeners

1,581 Listeners

8,850 Listeners

6,105 Listeners

3,910 Listeners

2,065 Listeners

3,332 Listeners

571 Listeners

285 Listeners

2,706 Listeners

237 Listeners

1,064 Listeners

581 Listeners

225 Listeners