meta_pixel
Tapesearch Logo
Log in
Slate Daily Feed

Big Mood, Little Mood: Rules of Estrangement

Slate Daily Feed

Slate

Business, News, Society & Culture

3.91.1K Ratings

🗓️ 7 February 2023

⏱️ 46 minutes

🧾️ Download transcript

Summary

Danny Lavery welcomes Marie Manner, a research and development data scientist. Lavery and Manner take on two letters. First, from someone who is wondering if it’s okay she doesn’t have a big reason to cut her father from her life. Another letter writer is wondering if she should pursue a long-time crush. Need advice? Send Danny a question here. Email: mood@slate.com If you enjoy this show, please consider signing up for Slate Plus. Slate Plus members get an ad-free experience across the network and exclusive content on many shows—you’ll also be supporting the work we do here on Big Mood, Little Mood. Sign up now at Slate.com/MoodPlus to help support our work Production by Phil Surkis Make an impact this Black History Month by helping Macy’s on their mission to fund UNCF scholarships for HBCU students. Go to macys.com/purpose to learn more. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0

Just a reminder that Big Mood, Little Mood with Daniel M. Levery, happens twice week.

0:04.1

Slate Plus members get an additional mini episode or Little Big Mood every Friday.

0:09.0

Sign up now to listen at slate.com slash mood.

0:30.0

Hello and welcome back to Big Mood, Little Mood. I'm your host, Danny Levery, and with me in

0:38.4

his studio this week is Marie Manor, who works as a research and development data scientist

0:43.1

and enjoys mentoring, volunteering, and teaching in STEM. Marie, welcome to the show.

0:47.8

Thank you very much, Danny. It is an absolute pleasure to be here.

0:50.6

I'm so glad I also really appreciated your immediate reply after I sent you the questions,

0:56.0

which was there's nothing about data in here. I'm truly sorry. I tried as hard as I could,

1:02.1

but no one had any data-related problems. I have been ready while I'm reading these questions

1:06.9

to work in some kind of graphing or data-related anything, but I'm kind of coming up empty.

1:11.5

So that's a bummer, but maybe more interesting for everybody else that is not me.

1:16.3

I mean, I'm just going to maybe keep you on call now in case I get a future question.

1:21.7

I mean, I'll just say like, do you think graphing would help?

1:26.3

The answer is probably yes. I always think the graphing would help. There's nothing like a good

1:30.4

graph. Lots of colors, dots. Do you have like a general kind of catch-all advice for people

1:35.8

who might want to incorporate more graphs into their life? Where would you recommend that they

1:39.7

start? Obviously, my thought first goes to chore wheels, but as a human without kids,

1:45.6

I have no idea if that would help things. I don't know. I've never done a chore wheel in my life.

1:51.2

So maybe I never have either or at least not since I was myself a child, but I feel like you do

1:56.1

occasionally hear that from people with like sort of contentious roommate relationships maybe,

2:00.8

where no one's just sort of like pitching in and doing their share and everyone's sort of

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Slate, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Slate and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.