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Speaker 1: Hey, this is Annie and Samantha and welcome to Steff.

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Speaker 1: I've never told your production of I Heart Radio. Today,

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Speaker 1: we are once again thrilled to be joined by the amazing,

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Speaker 1: award winning, fantastic Bridget Todd, who we account ourselves so

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Speaker 1: lucky to know and call her friends. Congratulations Bridget on

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Speaker 1: your recent award for Best Technology Podcast at the I

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Speaker 1: Heart Radio Podcast Awards. Well deserved. That's so awesome. Congratulations

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Speaker 1: to you and your whole team. Oh my goodness, thank

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Speaker 1: you so much. Yeah, and you know what I'm gonna say,

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Speaker 1: it feels freaking good to win. I was kind of like, oh, like,

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Speaker 1: you know, just being nominated as nice, but I deep

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Speaker 1: down kind of you ever have one of those times

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Speaker 1: in your life where you just really need to win.

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Speaker 1: I'm That's where I was at. So um I have

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Speaker 1: to like briefly shout out my team. Tara Harrison is

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Speaker 1: my producer and engineer. She's phenomenally talented. Jonathan Strickland is

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Speaker 1: our EP. Phenomenally talented. Dr Michael Amato is our chief

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Speaker 1: Science officer and uh producer, so talented. I could not

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Speaker 1: have one without them. They're so awesome. Yes, thank you, Yes,

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Speaker 1: I love Owen, especially when it's our personal friends. Yeah,

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Speaker 1: I said it. I'm claiming he was a personal friend.

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Speaker 1: I know, Bridget, thank you. I mean I feel the

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Speaker 1: same way about you. I feel very onward to to

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Speaker 1: know you all in real life. Yes, yes, um. And

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Speaker 1: in case you don't know listeners, which I'm assuming you do,

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Speaker 1: this is for the podcast There Are No Girls on

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Speaker 1: the Internet, which is You've got a new season coming right, Yes, yeah,

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Speaker 1: I probably should have said the name of my own,

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Speaker 1: but I'm trying to get better at like self promotion. Yes,

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Speaker 1: the podcast is called There No Is on the Internet.

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Speaker 1: We just want an I Heeart Award and we're coming

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Speaker 1: back for a brand new season on March one. So um.

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Speaker 1: We've kind of been high on hiatus for a bit

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Speaker 1: while we've been retooling, and I'm so excited that we're

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Speaker 1: finally launching. So it would mean a lot to me

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Speaker 1: if you'll checked it out. Thank you for mentioning and Annie,

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Speaker 1: I obviously cannot be trusted to remember to see the

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Speaker 1: name of the thing I meant to be promoting, but yeah,

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Speaker 1: please check it out. We have all kinds of interesting

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Speaker 1: conversations about how women and queer folks and trans folks

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Speaker 1: and black folks and other marginalized voices. How we show

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Speaker 1: up or don't show up online and in technology? So

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Speaker 1: uh yeah, please check it out. If that sounds like

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Speaker 1: something you're interested in, you absolutely should. I'm still waiting

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Speaker 1: for the fan fiction episode. I'm ready. Oh yes, tv D.

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Speaker 1: Also just a fun fact about Tar, who's also a

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Speaker 1: good friend of ours. She always sings sitcom jingles at karaoke. Yeah,

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Speaker 1: it's the thing I adore about her. H She refuses

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Speaker 1: to seeing anything else and when someone interrupts her, she

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Speaker 1: gets very annoyed. Rightly so, because this is her thing

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Speaker 1: and she wants it and has claimed it and has

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Speaker 1: done well with it. How is it wring about? How

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Speaker 1: have I worked with Sari for two years? And if not,

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Speaker 1: I mean, I guess COVID as hell, but know this,

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Speaker 1: I need to kick her out that for karaoke to

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Speaker 1: see this in action? Or you know what, what's a

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Speaker 1: better bridget? We need you to come to Atlanta and

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Speaker 1: hosts a big karaoke night. H if. There's several great

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Speaker 1: locations that we love, including my favorite spot towards before

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Speaker 1: It Highway ran by a Korean family who was as

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Speaker 1: Korean as you think, and we adored them and they

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Speaker 1: bring us fruit place is a delight while we're seeing

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Speaker 1: karaoke to our hearts content. Yeah, please put that on

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Speaker 1: the agenda. The last time I was in Atlanta, I

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Speaker 1: went to what is that spot called Church of Church Church.

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Speaker 1: There was some karaoke happening. It was pretty fun. So yeah,

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Speaker 1: Atlanta karaoke date. Literally anytime I am in, I need

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Speaker 1: to see producer Tari in action singing the singles one

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Speaker 1: time and she was like, we're singing cheers together. It's okay.

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Speaker 1: I love it. I love it, I love it, I

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Speaker 1: love it. Okay. So this topic you're bringing to us today, Bridget,

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Speaker 1: is extremely timely. We're very excited to talk about it. Uh,

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Speaker 1: and we have a lot to get into. So let's

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Speaker 1: let's get into it. What are we talking about today?

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Speaker 1: So today is Friday, February two, and I want to

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Speaker 1: talk about the just recently announced new nominee for the

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Speaker 1: Supreme Court, Judge Katangi Brown Jackson. So I have to

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Speaker 1: admit I was putting together all my notes for this

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Speaker 1: episode last night, and so the notes were all like, oh,

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Speaker 1: the potential nominee, Like when we have the nominee. It

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Speaker 1: was all very like hypothetical, and then this morning the

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Speaker 1: news just dropped that she is indeed the White House's

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Speaker 1: pick to be the first ever black woman Supreme Court

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Speaker 1: justice on our Supreme Court. So very historic, very important,

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Speaker 1: very exciting. But we know that it also comes along

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Speaker 1: with racist attacks, sexist attacks, miss and disinformation, and that

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Speaker 1: women of color who are in public office unfortunately tend

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Speaker 1: to face. And so today today I really wanted to

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Speaker 1: talk about how we got to this place of having

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Speaker 1: this historic black woman being nominated for the Supreme Court,

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Speaker 1: and what kind of attacks she's likely to be facing,

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Speaker 1: what kind of attacks she's already been facing, and how

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Speaker 1: we can sort of all work together to create the

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Speaker 1: conditions to have a better conversation about her nomination. Yes,

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Speaker 1: and as you said, this is very ongoing. We're trying

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Speaker 1: to get this episode out as quickly as possible because

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Speaker 1: things are changing very quickly. But we've already seen some

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Speaker 1: of these attacks. I know we're gonna get into that

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Speaker 1: in a minute, but before we do that, can you

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Speaker 1: give us some some history and background on what's going

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Speaker 1: on here? Absolutely, So here's a little bit of background

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Speaker 1: about the call to nominate a black woman for the

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Speaker 1: Supreme Court. Um, I have to shout out that she

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Speaker 1: will rise campaign organized by a great organization called Sister

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Speaker 1: Scotus UM and their whole coalition is full of dynamic

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Speaker 1: black women, women like April Rain who created the hashtag

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Speaker 1: scars So White sixteen nineteen project creator Nicole Hannah Jones,

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Speaker 1: Allencia Johnson, who I love. I used to work with

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Speaker 1: her at Planned Parenthood Broadway, Multi Tony Award winner Audra McDonald. UM. So,

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Speaker 1: just a huge coalition of dynamic, badass black women who

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Speaker 1: have been advocating to put a black woman on the

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Speaker 1: Supreme Court. And so in the over two hundred year

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Speaker 1: history of the Supreme Court, not one black woman has

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Speaker 1: ever been confirmed or even nominated to serve on the

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Speaker 1: Supreme Court. There have been a hundred and fifteen men

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Speaker 1: and women who have served on the Supreme Court, and

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Speaker 1: only three of them have been people of color. There

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Speaker 1: have only been two Black American members of the Supreme Court,

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Speaker 1: Justice through Good Martial and Justice Clarence Thomas. And so

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Speaker 1: that's obviously not a very inclusive track record in terms

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Speaker 1: of representation. And you know, this idea of I thought

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Speaker 1: this was kind of a new precedent. You know, a

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Speaker 1: presidential candidate saying like, oh, if I'm elected, I will

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Speaker 1: put this kind of person on the Supreme Court. However,

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Speaker 1: there is actually a long history and president for presidents

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Speaker 1: peg in to pick a Scotus nominee who represents a

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Speaker 1: certain demographic of our population. So this is from a

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Speaker 1: really great New York Times op ed by Walter Dellinger,

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Speaker 1: who was the acting Solicitor General of the United States

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Speaker 1: under Bill Clinton. He writes, there is a long and

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Speaker 1: important tradition of presidents taking into consideration the demographic characteristics

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Speaker 1: of perspective justices, including geographic background, religion, race, and sex,

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Speaker 1: to ensure the Supreme Court is and remains a representative

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Speaker 1: institution in touch with the very facets of American life.

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Speaker 1: More fundamentally, our history shows the process of reaching out

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Speaker 1: to expand the personal backgrounds of the justices has often

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Speaker 1: produced stellar jurists who make historic contributions to our court

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Speaker 1: and judicial system. So he goes on to describe how

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Speaker 1: President Reagan promised to nominate a woman of the Supreme

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Speaker 1: Court and even though a bunch of his Republican colleagues

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Speaker 1: were very vocally against it and kind of forced him

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Speaker 1: to add some man to his shortlist. President Reagan was

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Speaker 1: really adamant about picking a woman and eventually nominated Sandra

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Speaker 1: Day O'Connor, making for the first ever female Associate Supreme

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Speaker 1: Court justice. Um. And so that's some like history that

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Speaker 1: I didn't even know about. You know how other presidents

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Speaker 1: have set this precedent to make the Supreme Court up

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Speaker 1: more inclusive. Yeah, and I think, I mean it's kind

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Speaker 1: of a way to pract to call a lot of

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Speaker 1: news organizations and Republicans perhaps if you're critical, but they

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Speaker 1: would have you believe that this is a new thing, like, oh,

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Speaker 1: this is never having before and it's ridiculous, right, And

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Speaker 1: this is not just an issue of representation, correct, absolutely,

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Speaker 1: so representation is important. People often say like, representation matters,

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Speaker 1: and it absolutely does. I'm not, you know, disagreeing with that. However,

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Speaker 1: it's not just a problem because representation matters. It's also

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Speaker 1: a problem because we deserve a representative democracy, a democracy

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Speaker 1: with the people who are governing actually are able to

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Speaker 1: meaningfully represent the people they are governing on behalf of.

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Speaker 1: And you can't have that if your Supreme Court is

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Speaker 1: mostly men, mostly white, because then you have a Supreme

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Speaker 1: Court is not actually able to, you know, meaningfully represent

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Speaker 1: the people that are meant to be advocating on behalf

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Speaker 1: of or working on behalf of. A biographical database from

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Speaker 1: the Federal Judicial Center shows that of the three thousand,

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Speaker 1: eight d forty three federal judges, less than two percent

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Speaker 1: have been black women. And so again it's not just

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Speaker 1: the Supreme Court. It really does go to show that

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Speaker 1: we have a long way to go and making sure

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Speaker 1: that the people who are actually representing us in the

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Speaker 1: courts actually are able to meaningfully represent us and like

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Speaker 1: look like the population that they're actually meant to serve. Yes, yes,

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Speaker 1: And I think right now a lot of us, for

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Speaker 1: good reason, I would say, are on edge when it

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Speaker 1: comes to the Supreme Court and decisions that they're tackling

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Speaker 1: or thinking about, including abortion. So this is very, very

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Speaker 1: very important that we are representing accurately our country, the

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Speaker 1: people in our country. So can we talk a little

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Speaker 1: bit about the promise Biden made when it comes to

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Speaker 1: nominating a black woman to the Supreme Court. Absolutely, So

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Speaker 1: this is one of those instances where Biden made a

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Speaker 1: very clear campaign promise. Certainly the administration has made other

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Speaker 1: campaign promises and tb D if they will come to fruition.

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Speaker 1: But this was a very clear one. So this is

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Speaker 1: sort of making good on a very exuplicit promise. You

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Speaker 1: might hear black women referred to as the backbone of

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Speaker 1: the Democratic Party, and that's because we are reliable voters

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Speaker 1: who tend to vote Democrat, and we tend to go

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Speaker 1: out there and organize our friends and our family and

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Speaker 1: our communities to also vote as well. Uh, if you

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Speaker 1: look at the numbers, you know, black women, I think

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Speaker 1: it was like less than one percent of Black women

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Speaker 1: voted for Trump. So we pretty much we are pretty

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Speaker 1: reliable voters for for the Democrats has helped limit it

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Speaker 1: that way and for awhelming majority of Black women. I

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Speaker 1: think it was supported Biden during his presidential bid, right

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Speaker 1: before voting began in South Carolina, during South Carolina's primary,

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Speaker 1: Biden made a very clear campaign promise to nominate a

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Speaker 1: black woman to the Supreme Court. And so yeah, this

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Speaker 1: was a a very clear promise that he made to

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Speaker 1: a constituency that is reliable, that is really did a

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Speaker 1: lot of the work and a lot of the ground

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Speaker 1: game of getting out the vote and organizing their our

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Speaker 1: communities to get out the vote as well. Right, and

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Speaker 1: and going back to what you mentioned, when it comes

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Speaker 1: to all of these sexist racist attacks that a lot

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Speaker 1: of women and women of color, and especially black women

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Speaker 1: face when it comes to elections like this or nominations

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Speaker 1: like this, and then also misinformation and disinformation, It's one

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Speaker 1: thing to kind of say that like, Okay, let's elect

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Speaker 1: a black woman, and then another to provide the necessary support. Absolutely, so,

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Speaker 1: you know, we hear, like I have a shirt that

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Speaker 1: says trust black women. You know, we hear a lot

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Speaker 1: of slogans about, you know, the importance of electing black

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Speaker 1: women and really amplifying our political leadership. And again I

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Speaker 1: feel like that that is great. Representation is so great. However,

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Speaker 1: it really does need to go along with the work

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Speaker 1: of creating the conditions so these these women will be supported.

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Speaker 1: That they're not it's going to be, you know, fodder

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Speaker 1: for unfair, sexist racist attacks purely based on their identity

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Speaker 1: who they are. And so I don't want to just

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Speaker 1: have black women or women or women of color. I

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Speaker 1: don't want to just have us be amplified as leaders

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Speaker 1: if we're going to be set up to fail, if

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Speaker 1: we're going to be set up to compete in a

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Speaker 1: completely unequal playing field. I want to amplify the leadership

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Speaker 1: of women, but I also want to create the conditions

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Speaker 1: that we actually can thrive. Um And so I think

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Speaker 1: that that's really what I want to get into today

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Speaker 1: about some of the ways that our media landscape are

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Speaker 1: kind of set up to ensure that this person will

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Speaker 1: not get a fair shake. I have to say, like,

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Speaker 1: I wasn't really thrilled watching Jen Psaki from the White

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Speaker 1: House kind of give this tepid acknowledgement of the kind

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Speaker 1: of racism and sexism that would go along with picking

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Speaker 1: a black woman for the Supreme Court nominee. She said

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Speaker 1: that Biden's intention to pick a black woman for the

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Speaker 1: Supreme Court presented quote specific challenges, But in my opinion,

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Speaker 1: that really doesn't go far enough in naming and lifting

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Speaker 1: up the kind of racist, sexist attacks and media climate

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Speaker 1: that are setting this person up to face. And that

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Speaker 1: can really be tricky because, as I'm sure a lot

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Speaker 1: of people listening can probably attest to, it can be

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Speaker 1: sometimes difficult to call out the kind of unfair attacks

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Speaker 1: that we face as marginalized people. So if you're a

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Speaker 1: woman who is facing sexism. Sometimes if you if you

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Speaker 1: are the one to vocalize that, that only kind of

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Speaker 1: goes against you, because then you're the complainer, you're the nag.

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Speaker 1: And so if you're in a climate where you can't

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Speaker 1: really call out what you're facing and the people around

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Speaker 1: you aren't going to explicitly call out what you're facing,

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Speaker 1: then it's just allowed to fester like uncalled out. Yeah.

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Speaker 1: I found it interesting because as you had brought this

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Speaker 1: to our attention, I hadn't realized he had made an announcement.

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Speaker 1: We just knew the promises that President Biden had given.

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Speaker 1: Finally naming a name and trying to look her up

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Speaker 1: and seeing who she was. Of course, one of the

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Speaker 1: top things that I saw was a congressman going in

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Speaker 1: on attacks and being repeatedly attacking them, just obviously already

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Speaker 1: ready to go. Oddly enough, the same congressman was the

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Speaker 1: one that had been one of three Republicans who had

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Speaker 1: voted her in her federal seat, and we were like, wait,

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Speaker 1: so how is she qualified then and not now? But

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Speaker 1: we know the answer obviously of why they are very

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Speaker 1: upset about this pick. In general, in all of the

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Speaker 1: game of politics, we understand that, but as it comes along.

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Speaker 1: That is part of that conversation where I'm like, I know,

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Speaker 1: I don't even want to mention who it is because

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Speaker 1: I don't want to amplify that even more. Instead, let's

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Speaker 1: talk about her qualifications and why she is qualified to

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Speaker 1: lead us in this type of position. Absolutely so, even

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Speaker 1: before Judge Jackson was named as the nominee, people were

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Speaker 1: wasting no time lobbying these completely ridiculous, unfair sexist attacks

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Speaker 1: on her. Just we don't even know who she is,

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Speaker 1: she was just a hypothetical person. Senator John Kennedy he

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Speaker 1: told Politico, I want a nominee who knows a law

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Speaker 1: book from a J Crew catalog. I want a nominee

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Speaker 1: who's not going to try to rewrite the constitution every

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Speaker 1: other Thursday to advance a woke agenda. And he was

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Speaker 1: saying this, we didn't even know who this person was yet,

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Speaker 1: and they were already lobbying these racist, sexist attacks, like

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Speaker 1: why do you assume that she's not going to know

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Speaker 1: what a legal brief from a J Crew catalog? Like

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Speaker 1: that's like reading between the lines. That is obviously meant

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Speaker 1: to be a sexist swipe. Because Biden had already expressed

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Speaker 1: his intentions to nominate a black woman. Why do you

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Speaker 1: assume this person is going to be, you know, pushing

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Speaker 1: awoke agenda? And what does that even mean? I think

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Speaker 1: when you really pull apart some of these dog whistles

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Speaker 1: that are used, it just reveals itself as unfair attacks,

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Speaker 1: rooted in identity, or just complete hypocrisy. Like just like

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Speaker 1: what you were saying, were you referencing Lindsay Graham? Who

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Speaker 1: was you know? And I think it was Literal. So

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Speaker 1: so I've been up working on this since like like

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Speaker 1: all day right where I watched the announcement come in,

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Speaker 1: I watched all the all the responses. Lindsay Graham tweeted

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Speaker 1: Literal minute after she was announced, saying, quote, the radical

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Speaker 1: left had won over Biden. Yet Graham also voted to

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Speaker 1: confirm Judge Decks into the DC Federal Appeals Court, which

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Speaker 1: is the second most important court in the country, just

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Speaker 1: eight months ago, this past summer. So which is it

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Speaker 1: is this win for the woke left? And like what

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Speaker 1: was different eight months earlier when you voted to confirm her.

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Speaker 1: So it is very interesting at this point, I wouldn't

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Speaker 1: even like the hypocrisy is so clear that it's almost

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Speaker 1: sort of like not worth plating out. It's like, of course,

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Speaker 1: you were only interested in a bad faith assessment. You know,

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Speaker 1: you don't even expect people to look back at your

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Speaker 1: own ooting record to see where you actually stand on

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Speaker 1: this issue. You're just counting on people not actually spending

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Speaker 1: a little bit of time and thinking about what you're saying. Right, Yeah,

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Speaker 1: we're both shaking our head. Was It's true, though. It's

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Speaker 1: so frustrating because it's like every time I point out

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Speaker 1: something that's hypocritical, it doesn't matter anymore. They're like, yeah,

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Speaker 1: I mean, essentially, it's kind of what we were talking

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Speaker 1: about when um Amy Barritt Cohen was confirmed as well

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Speaker 1: as Kavanaugh, about the ridiculous hYP hypocrisy that happened between

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Speaker 1: Obama and administration and the Trump administration. And now we're

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Speaker 1: back again. Now we're here again to the same conversation,

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Speaker 1: and literally half of the Republican candidates or the conservative

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Speaker 1: politicians will agree, yeah, this is hypocritical. This is what

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Speaker 1: we do, and they kind of just leave it at

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Speaker 1: that and assume that nobody will notice. And typically people

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Speaker 1: who are already dug their hills in don't notice, won't

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Speaker 1: notice because they want what they want in whatever agenda

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Speaker 1: it is that they have planted themselves firmly. And but yeah,

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Speaker 1: let's talk about the fact this is a whole different conversation,

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Speaker 1: but that we have different types of terms, and words

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Speaker 1: like woke that have been used as a positive has

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Speaker 1: now flipped so hard to a negative that everyone is

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Speaker 1: automatically like, oh, he said that, he's right. It's bad.

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Speaker 1: Oh my gosh, I could talk all day, I'll say. So,

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Speaker 1: I have two things to say about this. One is

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Speaker 1: that you are so right. There are so many words

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Speaker 1: that have just become meaningless. Right. So, if you're talking

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Speaker 1: about a hypothetical Supreme Court nominee and you're like, oh,

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Speaker 1: we don't want somebody who's woke, you don't know any

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Speaker 1: This person doesn't is a hypothetical person, so you're not

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Speaker 1: You don't know anything about their record, you don't know

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Speaker 1: anything about like where they stand on the issues. So

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Speaker 1: saying woke it almost just just the only thing we

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Speaker 1: know about this person is that she's going to be

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Speaker 1: a black woman. You're saying you don't want someone who

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Speaker 1: is woke. Reading within the lines, you're using that as

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Speaker 1: a stand in for the word black. Right, And so

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Speaker 1: I think that we see that time and time again

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Speaker 1: where these words become stand ins for identity, and they

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Speaker 1: also kind of become meaningless, right, Like cancel culture is

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Speaker 1: another one I remember reading this is this is sort

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Speaker 1: of silly, But there was this story a while ago

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Speaker 1: where this um guy who had been running a racehorse

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Speaker 1: in the Kentucky Derby. His racehorse had been I don't

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Speaker 1: know that, I'm sure there's more details to it, but

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Speaker 1: essentially his racehorse had been drug tested and he had

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Speaker 1: been like found to have drugs in a system, so

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Speaker 1: he was disqualified. And then an interview he was like, oh,

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Speaker 1: this is cancel culture strikes again, And I was like,

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Speaker 1: what are you even talking about, Like, how is the

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Speaker 1: cancel culture? Like in what way? Yeah, dopen your horse

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Speaker 1: and your horse was disqualified. That's not cancel culture. Even like,

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Speaker 1: I just have a lot of questions about the way

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Speaker 1: that these words are being used. But I think and

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Speaker 1: that's kind of the second point that I want to

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Speaker 1: make about this is that one of the reasons why

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Speaker 1: I am so adamant about things like disinformation and misinformation

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Speaker 1: and just having a healthier, more honest conversation and a

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Speaker 1: media landscape that facilitates those kinds of conversations. Is that

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Speaker 1: we are no longer able to have substitutive, thoughtful conversations

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Speaker 1: about the issue when our ecosystem is flooded with bad faith,

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Speaker 1: clearly hypocritical rhetoric and discourse. And so, you know, even

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Speaker 1: if you're someone let's say that you're listening and you

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Speaker 1: are very conservative, you know, you probably have hated this

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Speaker 1: conversation that we've been having. But you know, like even

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Speaker 1: if you're someone who is very conservative, you deserve to

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Speaker 1: be able to, you know, talk about your your issues,

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Speaker 1: talk have have a substitutive conversation and a substitutive debate

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Speaker 1: about where you stand on the issues. And so I

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Speaker 1: believe that when the discourse and the space is just

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Speaker 1: flooded with you know, charged rhetoric where we're talking where

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Speaker 1: we're talking about race or identity but using different words,

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Speaker 1: everybody loses because you're not able to have a substitutive

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Speaker 1: conversation about where you might agree or disagree with the

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Speaker 1: Supreme Court nominee, right, you're the And so I think

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Speaker 1: that that's my biggest issue is that we have a

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Speaker 1: media ecosystem that really amplifies the most extreme, the most

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Speaker 1: over the top statements, or the most nonsense statements, and

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Speaker 1: so everybody loses. Democrat, Republican, conservative, lefty, whoever. Everybody loses

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Speaker 1: when we have an ecosystem that amplifies the least substitutive

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Speaker 1: takes because that takes away from the ability to have

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Speaker 1: an actual substitutive, thoughtful debate or conversation about the actual issues.

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Speaker 1: And so I don't want to create the conditions for

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Speaker 1: Judge Jackson to only be judged by racist, sexist tropes

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Speaker 1: or caricatures or unfair attacks, because I want to talk

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Speaker 1: about her actual credentials. I want to talk about her

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Speaker 1: actual record. I want to talk about her actual character.

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Speaker 1: But disinformation and misinformation does not allow for the actual

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Speaker 1: issues to take the center stage that they should. Right

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Speaker 1: you just kind of explained my whole conversation with my

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Speaker 1: parents over the holidays, but we won't get into that

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Speaker 1: right now. I'm just gonna put that there. Um, it

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Speaker 1: was interesting, but you know, and then thinking about this

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Speaker 1: because when we talk about these terms and automatically just

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Speaker 1: becoming used by media as an ecosystem to bring in

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Speaker 1: the shock value, Uh, it makes me also realize that

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Speaker 1: in terms of what they're talking about in woke, it

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Speaker 1: is a black term that was created by the black

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Speaker 1: community to kind of gift non black people with, Hey,

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Speaker 1: you woke up. Congratulations, you're finally seeing what we have

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Speaker 1: been going through all of our generations. Welcome you have woke. Like,

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Speaker 1: that's kind of that term, and I hate that it

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Speaker 1: has been weaponized to this point of being used against people,

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Speaker 1: and when they're using it. When Kennedy used this, he

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Speaker 1: was weaponizing this terms to a woman, to an official,

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Speaker 1: to a judge, to a professional who didn't need to

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Speaker 1: be woke. She was already there. This was her life

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Speaker 1: and not only that. If we do look at her

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Speaker 1: backgrounds and credentials, she has been doing this work. There's

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Speaker 1: no conversation about her being woke. She just is. So

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Speaker 1: with that. Because I'm angry about this, can we talk

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Speaker 1: about some of those qualifications? Oh? Absolutely? So. One of

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Speaker 1: the best ways to counter all the kinds of bs, racist,

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Speaker 1: sexist attacks that you're definitely going to hear about Judge

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Speaker 1: Jackson is to flood the space to counter that with

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Speaker 1: accurate information. So I'm super excited to talk about her

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Speaker 1: actual qualifications. So a little bit of background information about

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Speaker 1: Judge Jackson. She was born in Washington, d C. Shout

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Speaker 1: out to d C, where I am also from. She

428
00:23:39,359 --> 00:23:42,439
Speaker 1: grew up in Miami, Florida. Her parents started their career

429
00:23:42,480 --> 00:23:45,280
Speaker 1: as public school teachers and then later became administrators in

430
00:23:45,280 --> 00:23:47,960
Speaker 1: the Miami Dade County public school system. I love this

431
00:23:48,000 --> 00:23:51,320
Speaker 1: little fun fact about her. Judge Jackson was a star student,

432
00:23:51,640 --> 00:23:53,639
Speaker 1: but she was told not to set her sights too

433
00:23:53,720 --> 00:23:56,320
Speaker 1: high by a guidance counselor when she told that guidance

434
00:23:56,320 --> 00:23:58,920
Speaker 1: counselor that she wanted to go to Harvard. And guess

435
00:23:58,920 --> 00:24:07,000
Speaker 1: where she ended up going to college Harvard. That's right,

436
00:24:07,000 --> 00:24:09,640
Speaker 1: so she definitely like shut that guidance counselor right up.

437
00:24:10,080 --> 00:24:13,439
Speaker 1: She studied government at Harvard University and attended Harvard Law School,

438
00:24:13,600 --> 00:24:16,520
Speaker 1: where she was the supervising editor of the Harvard Law Review.

439
00:24:16,720 --> 00:24:22,480
Speaker 1: So her educational credentials are pretty solid. Yeah, I would say, so.

440
00:24:22,680 --> 00:24:27,160
Speaker 1: I love that too. I hope that the guidance counselor knows.

441
00:24:28,480 --> 00:24:33,520
Speaker 1: Oh he knows now. So something else about her is

442
00:24:33,520 --> 00:24:36,600
Speaker 1: that she is absurdly qualified and experience. So this is

443
00:24:36,640 --> 00:24:40,280
Speaker 1: from Steve Ladek. Judge Jackson has eight point nine years

444
00:24:40,280 --> 00:24:43,160
Speaker 1: of prior judicial experience. That's more than four of our

445
00:24:43,200 --> 00:24:48,320
Speaker 1: current justices Thomas, Roberts, Kagan, and Barrett had combined. It's

446
00:24:48,320 --> 00:24:51,040
Speaker 1: also more than four of the last ten justices had

447
00:24:51,040 --> 00:24:53,800
Speaker 1: at their confirmations, nine of the last seventeen, and the

448
00:24:53,880 --> 00:24:57,560
Speaker 1: forty three of fifty eight appointed since nineteen hundred. So

449
00:24:57,680 --> 00:25:01,639
Speaker 1: anybody who tells you she is not experienced, anybody that

450
00:25:01,720 --> 00:25:04,280
Speaker 1: tells you that she's not qualified, anybody that tells you

451
00:25:04,359 --> 00:25:07,480
Speaker 1: that she only got this position because she's a black woman,

452
00:25:07,560 --> 00:25:10,840
Speaker 1: it's just misinformed, and they're spreading misinformation because as we

453
00:25:10,880 --> 00:25:14,600
Speaker 1: can see, she's a very qualified more qualified than you know,

454
00:25:14,720 --> 00:25:19,800
Speaker 1: some of the current Supreme Court justices, right, which is infuriating.

455
00:25:19,960 --> 00:25:23,959
Speaker 1: But yes, also, as you mentioned, she's already gone through

456
00:25:24,000 --> 00:25:26,920
Speaker 1: a lot of vetting, right absolutely, So this is something

457
00:25:26,920 --> 00:25:29,719
Speaker 1: else that I think people really need to understand. She

458
00:25:29,840 --> 00:25:32,760
Speaker 1: has been vetted a ton, she has a proven track

459
00:25:32,840 --> 00:25:36,399
Speaker 1: record of attracting bipartisan support in the Senate. She's already

460
00:25:36,400 --> 00:25:39,600
Speaker 1: been confirmed three times on a bipartisan vote, So there

461
00:25:39,720 --> 00:25:42,320
Speaker 1: is no reason to not expect the same now that

462
00:25:42,320 --> 00:25:45,160
Speaker 1: she's being considered for the Supreme Court again. Lindsay Graham

463
00:25:45,200 --> 00:25:48,280
Speaker 1: voted to confirm her, Murkowski voted to confirm her, and

464
00:25:48,320 --> 00:25:50,920
Speaker 1: Collins voted to confirm her. Right, So these are Republicans

465
00:25:50,920 --> 00:25:53,760
Speaker 1: who broke ranks with their party to side with Democrats

466
00:25:53,880 --> 00:25:56,920
Speaker 1: to vote to confirm her, and so, having already gone

467
00:25:56,960 --> 00:25:59,840
Speaker 1: through this process, I would really want, you know, some

468
00:26:00,000 --> 00:26:01,720
Speaker 1: on Mike Lindsay Graham to sit down with me and

469
00:26:01,760 --> 00:26:04,480
Speaker 1: explain what changed over the last eight months when he

470
00:26:04,560 --> 00:26:06,760
Speaker 1: voted to confirm her to the second most important court

471
00:26:06,760 --> 00:26:09,720
Speaker 1: in the country. Uh to now if he is saying

472
00:26:09,760 --> 00:26:12,040
Speaker 1: that she is not an appropriate choice, I'm the same

473
00:26:12,119 --> 00:26:15,040
Speaker 1: with Collins and Murkowski. There's no reason to expect that

474
00:26:15,119 --> 00:26:18,760
Speaker 1: she should not be able to be confirmed by the Senate,

475
00:26:19,400 --> 00:26:22,040
Speaker 1: considering she's been vetted and gone through this process three

476
00:26:22,040 --> 00:26:26,359
Speaker 1: different times before. There are certain people that like thinking

477
00:26:26,359 --> 00:26:30,280
Speaker 1: about talking to them makes my skin crawls one of them.

478
00:26:30,359 --> 00:26:46,600
Speaker 1: But yes, I do find it interesting, and this is

479
00:26:46,600 --> 00:26:48,719
Speaker 1: a whole different conversation again. You know how I love

480
00:26:48,760 --> 00:26:52,119
Speaker 1: the sidetrack that it is an interesting strategy that Biden

481
00:26:52,160 --> 00:26:55,199
Speaker 1: and his administration has pulled, not only because this is

482
00:26:55,200 --> 00:26:57,879
Speaker 1: obviously telling it's like, Okay, this is one of the

483
00:26:57,920 --> 00:27:00,440
Speaker 1: most qualified people that we could find that we think

484
00:27:00,520 --> 00:27:03,800
Speaker 1: is deserving and has earned a place in this position.

485
00:27:04,440 --> 00:27:07,600
Speaker 1: If you who opposed everything we do, are so gonna

486
00:27:07,640 --> 00:27:10,560
Speaker 1: start arguing, is gonna be a telltale son of who

487
00:27:10,640 --> 00:27:14,840
Speaker 1: you are and what you're doing. So it's an interesting turn. Again,

488
00:27:14,880 --> 00:27:17,280
Speaker 1: that's a whole different conversation because I've always interested in

489
00:27:17,760 --> 00:27:20,280
Speaker 1: good political thriller, and this feels like, you know, I

490
00:27:20,320 --> 00:27:22,680
Speaker 1: have to do everything a little fictional or movie. Yeah,

491
00:27:24,320 --> 00:27:27,399
Speaker 1: it's so true because, like you know, and thinking I

492
00:27:27,480 --> 00:27:30,200
Speaker 1: was thinking about that this morning. I do think it's

493
00:27:30,240 --> 00:27:33,159
Speaker 1: clear to me that the administration picked someone who had

494
00:27:33,160 --> 00:27:36,040
Speaker 1: already been like gone through this process a few times,

495
00:27:36,080 --> 00:27:38,440
Speaker 1: just so that it would be you know, test sort

496
00:27:38,480 --> 00:27:42,879
Speaker 1: of shut down any kind of you know, consternation there

497
00:27:42,960 --> 00:27:45,200
Speaker 1: might be in terms of like you know, like vetting

498
00:27:45,200 --> 00:27:47,440
Speaker 1: her and all of that. And I think it really

499
00:27:47,480 --> 00:27:51,000
Speaker 1: demonstrates something. I'm not totally sure. This is not a

500
00:27:51,000 --> 00:27:53,159
Speaker 1: completely fleshed out thought, and I'm not totally sure how

501
00:27:53,200 --> 00:27:55,760
Speaker 1: it fits into this conversation, but I do think there

502
00:27:55,960 --> 00:27:59,240
Speaker 1: is this standard for women, women of color and black

503
00:27:59,280 --> 00:28:03,560
Speaker 1: women where we have to be extra special qualified kind

504
00:28:03,560 --> 00:28:06,359
Speaker 1: of that standard of women have to do a hundred

505
00:28:06,359 --> 00:28:10,960
Speaker 1: and thirty more than men in general. And then when

506
00:28:10,960 --> 00:28:14,240
Speaker 1: you're part of the marginalized community, add on another twenty percent.

507
00:28:14,320 --> 00:28:16,359
Speaker 1: And then if you're a black woman, add on another

508
00:28:17,119 --> 00:28:22,640
Speaker 1: of exceeding the standard, exceeding the qualifications because for some reason,

509
00:28:23,320 --> 00:28:26,199
Speaker 1: you have to be on that level in order to

510
00:28:26,240 --> 00:28:30,320
Speaker 1: be seen as um serious. So that's just in general.

511
00:28:30,600 --> 00:28:33,120
Speaker 1: So let's put that in this federal level where they

512
00:28:33,160 --> 00:28:36,439
Speaker 1: are putting her under a microscope in every way, and

513
00:28:36,480 --> 00:28:38,800
Speaker 1: not only putting her in micro under a microscope to

514
00:28:38,840 --> 00:28:41,440
Speaker 1: twist and turn truth. They're going to tell flat out wise.

515
00:28:41,960 --> 00:28:45,120
Speaker 1: We know this, It's already happening. That's what they're doing. Uh.

516
00:28:45,120 --> 00:28:47,800
Speaker 1: And we saw this with Kamala Harris, which I really

517
00:28:47,800 --> 00:28:50,720
Speaker 1: found fascinating because Kamala Harris has a track record as

518
00:28:50,760 --> 00:28:55,280
Speaker 1: the Attorney General. They lasted her rightfully. It's so for

519
00:28:55,320 --> 00:28:59,160
Speaker 1: her track record in criminalizing people in general. And when

520
00:28:59,200 --> 00:29:03,040
Speaker 1: I found out Judge Jackson comes from the public defender,

521
00:29:04,400 --> 00:29:07,720
Speaker 1: that's right, so super super exciting. Not only would she

522
00:29:07,800 --> 00:29:10,440
Speaker 1: be historic as the first black woman on the Supreme Court,

523
00:29:10,600 --> 00:29:13,320
Speaker 1: but also the first public defender to serve on the Court,

524
00:29:13,360 --> 00:29:16,440
Speaker 1: which is a big deal. She has a long personal

525
00:29:16,480 --> 00:29:18,640
Speaker 1: history of working as a public defender. While she was

526
00:29:18,680 --> 00:29:21,200
Speaker 1: at Harvard, A relative was sentenced to life in prison

527
00:29:21,200 --> 00:29:23,680
Speaker 1: for a non violent drug offense, and she helped convince

528
00:29:23,720 --> 00:29:26,280
Speaker 1: a law firm to take his case pro bono, eventually

529
00:29:26,320 --> 00:29:29,000
Speaker 1: leading to having President Obama commute his sentence. And so

530
00:29:29,280 --> 00:29:31,480
Speaker 1: it is a big deal to have somebody on the

531
00:29:31,480 --> 00:29:35,240
Speaker 1: Supreme Court who has this legacy of public service in

532
00:29:35,240 --> 00:29:36,800
Speaker 1: this way. My brother is a lawyer. He got his

533
00:29:36,800 --> 00:29:39,480
Speaker 1: start as a public defender in Durham, North Carolina. I

534
00:29:39,520 --> 00:29:41,520
Speaker 1: just love the idea of having someone who has this

535
00:29:41,640 --> 00:29:44,520
Speaker 1: history because it's it's important, you know. I think that

536
00:29:44,920 --> 00:29:51,200
Speaker 1: it's often easy to forget that public service should be

537
00:29:51,320 --> 00:29:55,320
Speaker 1: a pipeline into bigger things, you know, like I want

538
00:29:55,360 --> 00:29:59,840
Speaker 1: to see more teachers, public educators, public servants be elevated

539
00:29:59,880 --> 00:30:02,200
Speaker 1: on in a national way like this. So I love

540
00:30:02,240 --> 00:30:08,520
Speaker 1: that aspect of her Amen former social worker A men.

541
00:30:11,480 --> 00:30:13,920
Speaker 1: We have this attitude where it's like, if you choose

542
00:30:14,000 --> 00:30:17,400
Speaker 1: to serve the public, you're some kind of like I

543
00:30:17,440 --> 00:30:19,240
Speaker 1: don't know, I don't think. I don't think we give

544
00:30:19,400 --> 00:30:23,600
Speaker 1: people who serve the public that like prompts they deserve

545
00:30:23,720 --> 00:30:26,480
Speaker 1: and they deserve a lot, and you know what, I

546
00:30:26,520 --> 00:30:30,280
Speaker 1: have been feeling some emotions for our people in Texas

547
00:30:30,280 --> 00:30:33,080
Speaker 1: who are social workers, that we know what's happening. They

548
00:30:33,080 --> 00:30:35,680
Speaker 1: are most people do, I think, especially our listeners. And

549
00:30:35,720 --> 00:30:37,920
Speaker 1: my heart has been breaking because I already know how

550
00:30:38,000 --> 00:30:41,160
Speaker 1: divisive that type of conversation is. But going back to

551
00:30:41,600 --> 00:30:44,920
Speaker 1: Judge Jackson and her public defense, like, Yeah, I have

552
00:30:45,080 --> 00:30:48,080
Speaker 1: worked with many public defenders, and a good public defender

553
00:30:49,160 --> 00:30:52,520
Speaker 1: is invaluable in the way that they have to advocate

554
00:30:52,600 --> 00:30:56,560
Speaker 1: and push for truth and justice. True justice meaning that

555
00:30:56,680 --> 00:30:59,080
Speaker 1: we are hearing the side and that they are not

556
00:30:59,160 --> 00:31:04,560
Speaker 1: guilty till even otherwise. And how oftentimes, especially in I'm

557
00:31:04,600 --> 00:31:07,360
Speaker 1: assuming DC Atlanta was very similar, how often it that

558
00:31:07,400 --> 00:31:11,360
Speaker 1: gets wrong, and that when we would find as social

559
00:31:11,360 --> 00:31:14,320
Speaker 1: worker who worked in the judicial system, when I found

560
00:31:14,320 --> 00:31:17,280
Speaker 1: a good defender, I would and talk to them personally

561
00:31:17,320 --> 00:31:19,440
Speaker 1: to try to get them onto cases for my kids

562
00:31:19,480 --> 00:31:21,960
Speaker 1: specifically to make sure that they got what was fair.

563
00:31:23,280 --> 00:31:26,160
Speaker 1: And that is so huge, So I do my heart

564
00:31:26,200 --> 00:31:29,240
Speaker 1: is soaring to know that we have someone in that

565
00:31:29,320 --> 00:31:33,240
Speaker 1: field coming to this point. Yeah, it's it's a pretty

566
00:31:33,280 --> 00:31:37,640
Speaker 1: historic thing. And yeah, people who serve the public like

567
00:31:37,760 --> 00:31:41,680
Speaker 1: thoughtfully and meaningfully, they really care about people and so

568
00:31:42,160 --> 00:31:45,120
Speaker 1: I I applaud you for for you know, going the

569
00:31:45,160 --> 00:31:48,080
Speaker 1: extra mile to create the conditions for your kids to

570
00:31:48,160 --> 00:31:50,680
Speaker 1: get real justice and to have a real advocate, because

571
00:31:50,760 --> 00:31:54,000
Speaker 1: that's not everybody is like that. That's like a special thing. Yeah,

572
00:31:54,040 --> 00:31:55,880
Speaker 1: this is something that's been on my mind and I

573
00:31:55,880 --> 00:31:57,760
Speaker 1: think a lot of our minds lately. Which is a

574
00:31:57,800 --> 00:32:00,560
Speaker 1: separate podcast, but I'll mention it here is I feel

575
00:32:01,000 --> 00:32:03,720
Speaker 1: in this country we have a real problem with glorifying

576
00:32:03,880 --> 00:32:10,160
Speaker 1: like male asspilary as being successful, like oh, you manage

577
00:32:10,240 --> 00:32:13,720
Speaker 1: the system, get your money, like it doesn't matter. Kind

578
00:32:13,720 --> 00:32:15,440
Speaker 1: of like what we're talking about here, with the hypocritical

579
00:32:15,520 --> 00:32:18,080
Speaker 1: nature of all these arguments being made, and it's more

580
00:32:18,240 --> 00:32:20,160
Speaker 1: to me, it feels more about the show and like, oh,

581
00:32:20,160 --> 00:32:24,200
Speaker 1: I'm a politician, I'm on TV, like it's glorified, whereas

582
00:32:24,240 --> 00:32:26,880
Speaker 1: we have people who are working for the public, and

583
00:32:26,920 --> 00:32:28,360
Speaker 1: in a lot of ways, these are kind of more

584
00:32:28,400 --> 00:32:33,400
Speaker 1: gendered as feminine and therefore lesser in nature, like not

585
00:32:33,480 --> 00:32:36,760
Speaker 1: worth the attention, not worth the accolades, not worth the money,

586
00:32:36,840 --> 00:32:44,960
Speaker 1: even though it's so critical to a functioning society. But yeah,

587
00:32:45,040 --> 00:32:47,120
Speaker 1: oh my gosh, I mean I could talk all day

588
00:32:47,360 --> 00:32:52,000
Speaker 1: the way that we have harmed everyone a deep, deep

589
00:32:52,080 --> 00:32:57,760
Speaker 1: societal harm is our legacy of not respecting jobs that

590
00:32:57,800 --> 00:33:01,040
Speaker 1: we code as feminine, that traditionally femin and so care work,

591
00:33:01,480 --> 00:33:05,120
Speaker 1: you know, social work, education, all of these things that

592
00:33:05,160 --> 00:33:09,280
Speaker 1: we have coded as feminine. The de prioritization and just

593
00:33:09,400 --> 00:33:12,440
Speaker 1: like outright degradation and disrespect of those I think that

594
00:33:12,480 --> 00:33:16,480
Speaker 1: the ramifications we will never fully be able to contend

595
00:33:16,480 --> 00:33:18,640
Speaker 1: with as a society. How much that has harmed us.

596
00:33:18,640 --> 00:33:21,640
Speaker 1: The way that you know, people who do care work

597
00:33:21,720 --> 00:33:24,800
Speaker 1: are are underpaid, if they're paid at all, just the

598
00:33:24,960 --> 00:33:27,240
Speaker 1: just the way that we don't even factor it in

599
00:33:27,440 --> 00:33:30,960
Speaker 1: and it just falls on unpaid women, right, Like, this

600
00:33:31,000 --> 00:33:32,760
Speaker 1: is what I mean when I say women are the

601
00:33:32,840 --> 00:33:36,120
Speaker 1: backbone of our country and our society, and oftentimes that

602
00:33:36,160 --> 00:33:40,600
Speaker 1: work is just completely not just unpaid, but unseen, unacknowledged.

603
00:33:40,640 --> 00:33:44,440
Speaker 1: It's just like the cost of society functioning. And so

604
00:33:44,720 --> 00:33:47,880
Speaker 1: I think that this country sometimes the only thing that

605
00:33:47,960 --> 00:33:51,200
Speaker 1: is standing between our our country and like complete collapse

606
00:33:51,440 --> 00:33:57,040
Speaker 1: is the effort and labor of some exhausted women. Is

607
00:33:57,240 --> 00:33:59,440
Speaker 1: let's be honest at this point in time, is black

608
00:33:59,440 --> 00:34:01,920
Speaker 1: women like I been thinking, Like when we talked about

609
00:34:01,920 --> 00:34:05,520
Speaker 1: the elections before Biden, the Biden administration, the amount of

610
00:34:05,600 --> 00:34:08,240
Speaker 1: work that has to be done. When we talked about

611
00:34:08,320 --> 00:34:11,680
Speaker 1: cases like Aubrey Ahmed and all of those, how women

612
00:34:11,719 --> 00:34:14,440
Speaker 1: have been forefront in protesting and bringing up all of

613
00:34:14,440 --> 00:34:17,600
Speaker 1: these conversations and the continued work that they have to do.

614
00:34:18,120 --> 00:34:20,560
Speaker 1: But not only that, like, not only are they working

615
00:34:20,560 --> 00:34:24,239
Speaker 1: to do good, but they're often having to combat all

616
00:34:24,239 --> 00:34:26,640
Speaker 1: of the disinformation and harmful things that are being set

617
00:34:26,680 --> 00:34:30,600
Speaker 1: about them because they are doing the hard work exactly.

618
00:34:30,640 --> 00:34:33,000
Speaker 1: I mean that really leads us back to, you know,

619
00:34:33,160 --> 00:34:36,000
Speaker 1: Judge Jackson. Just so so, Judge Jackson, I think I

620
00:34:36,040 --> 00:34:38,080
Speaker 1: got the email that she was going to be the

621
00:34:38,120 --> 00:34:41,879
Speaker 1: pick at like eight thirty this morning, and so we're

622
00:34:41,880 --> 00:34:44,360
Speaker 1: talking at two pm and so already to send in

623
00:34:44,440 --> 00:34:47,280
Speaker 1: a couple of hours. Here are some of the unfair

624
00:34:47,480 --> 00:34:50,200
Speaker 1: or just completely misleading attacks I've seen on her. One

625
00:34:50,400 --> 00:34:52,759
Speaker 1: is that you know, her decisions have been overturned, when

626
00:34:52,800 --> 00:34:55,840
Speaker 1: in reality, of her roughly six hundred decisions that she

627
00:34:55,920 --> 00:34:59,000
Speaker 1: has authored, she has been overruled just two percent of

628
00:34:59,000 --> 00:35:00,919
Speaker 1: the time, right, And so if someone is telling you

629
00:35:01,080 --> 00:35:04,040
Speaker 1: that in her career as a judge, her decisions have

630
00:35:04,160 --> 00:35:07,319
Speaker 1: been routinely overruled, or overturned. That's just not true. It's

631
00:35:07,320 --> 00:35:10,239
Speaker 1: happened two percent, less than two percent of the time. Uh,

632
00:35:10,280 --> 00:35:12,360
Speaker 1: the idea that she's an affirmative action higher, that she

633
00:35:12,360 --> 00:35:14,239
Speaker 1: only got the job because she's a black woman, when

634
00:35:14,280 --> 00:35:17,319
Speaker 1: in reality, she is clearly absurdly qualified. To the point

635
00:35:17,360 --> 00:35:20,920
Speaker 1: we're even talking about it seems ridiculous. Um, this idea

636
00:35:20,960 --> 00:35:23,640
Speaker 1: that she's too woke or too radical. One thing I

637
00:35:23,680 --> 00:35:27,360
Speaker 1: would say is really be wary of people throwing things

638
00:35:27,400 --> 00:35:30,440
Speaker 1: like that around without being able to point to a

639
00:35:30,480 --> 00:35:34,040
Speaker 1: specific ruling or policy or argument that she makes. Right, So,

640
00:35:34,360 --> 00:35:37,880
Speaker 1: just saying somebody so and so is too radical and

641
00:35:37,920 --> 00:35:40,440
Speaker 1: then not having it be attached to any kind of

642
00:35:40,480 --> 00:35:43,880
Speaker 1: actual policy that you think demonstrates that. Be wary of

643
00:35:43,880 --> 00:35:46,520
Speaker 1: people who are who are saying that, because, in my opinion,

644
00:35:46,880 --> 00:35:48,520
Speaker 1: nine times out of ten, when someone is saying that,

645
00:35:48,520 --> 00:35:50,960
Speaker 1: what they actually mean is this person is a black woman.

646
00:35:51,320 --> 00:35:54,080
Speaker 1: And then this idea of just sort of kind of

647
00:35:54,160 --> 00:35:57,879
Speaker 1: connecting her to things for no real reason, with no

648
00:35:58,000 --> 00:36:01,120
Speaker 1: real explanation as to like why you are connecting her

649
00:36:01,160 --> 00:36:05,200
Speaker 1: to these things. And so earlier today, miss McConnell tweeted,

650
00:36:05,400 --> 00:36:08,360
Speaker 1: the Senate must conduct a vigorous exhaustive review of Judge

651
00:36:08,400 --> 00:36:11,360
Speaker 1: Jackson's nomination to the Supreme Court. This is especially crucial

652
00:36:11,400 --> 00:36:14,719
Speaker 1: as American families face major crises that connect directly to

653
00:36:14,719 --> 00:36:18,120
Speaker 1: our legal systems, such as skyrocketing violent crime and open borders.

654
00:36:18,360 --> 00:36:20,719
Speaker 1: So what does Judge Jackson have to do with open

655
00:36:20,760 --> 00:36:23,440
Speaker 1: borders exactly? What does she have to do with violent crime? Exactly?

656
00:36:23,760 --> 00:36:26,400
Speaker 1: You know, the fact that he's just throwing her in,

657
00:36:26,800 --> 00:36:30,040
Speaker 1: you know, connecting her to these these things. I think, really,

658
00:36:30,440 --> 00:36:32,560
Speaker 1: I think this is a moment where we will really

659
00:36:32,600 --> 00:36:36,239
Speaker 1: be rewarded by really thinking critically about what people are

660
00:36:36,280 --> 00:36:38,520
Speaker 1: saying and what they're saying in between the lines. And

661
00:36:38,520 --> 00:36:42,960
Speaker 1: I think that really, to me, demonstrates a tricky truth

662
00:36:43,120 --> 00:36:46,799
Speaker 1: about the nature of racialized and gender disinformation. I think

663
00:36:46,800 --> 00:36:49,600
Speaker 1: most people can tell you that there is misleading or

664
00:36:49,600 --> 00:36:52,560
Speaker 1: an accurate information out there about like COVID or vaccines.

665
00:36:52,920 --> 00:36:55,759
Speaker 1: But misinformation can be a lot trickier to spot and

666
00:36:55,800 --> 00:36:58,640
Speaker 1: talk about when it relies on dog whistles, you know,

667
00:36:58,680 --> 00:37:01,200
Speaker 1: the same way that someone say like, oh, a woman

668
00:37:01,400 --> 00:37:04,400
Speaker 1: is too emotional to lead, and that's just code for

669
00:37:04,440 --> 00:37:08,200
Speaker 1: being a woman. Oftentimes people are using dog whistles or

670
00:37:08,280 --> 00:37:12,799
Speaker 1: coded language to attack women, women of color, and other

671
00:37:12,840 --> 00:37:16,520
Speaker 1: marginalized folks with this kind of like highly coded language

672
00:37:16,560 --> 00:37:18,839
Speaker 1: that can be so tough to to really call out

673
00:37:18,880 --> 00:37:21,680
Speaker 1: and talk about for what it is. Yeah, and it's

674
00:37:21,680 --> 00:37:24,680
Speaker 1: such a Again, it's one of those things. It's such

675
00:37:24,680 --> 00:37:27,279
Speaker 1: a double standard and it's so hypocritical. But I think

676
00:37:27,280 --> 00:37:31,240
Speaker 1: back to Kavanaugh. He's like crying these angry tears. He's

677
00:37:31,280 --> 00:37:36,640
Speaker 1: like confirmation, Wait, this is what you're not going to

678
00:37:36,719 --> 00:37:40,960
Speaker 1: call him emotional notes. He's being awarded for being emotional

679
00:37:40,960 --> 00:37:44,280
Speaker 1: as a man because that's difficult for them because he's trying,

680
00:37:44,320 --> 00:37:51,279
Speaker 1: because he's being accused of sexual assault. Right, Yes, isn't

681
00:37:51,320 --> 00:37:55,319
Speaker 1: it funny how like we've been we've branded anger as

682
00:37:55,400 --> 00:37:58,960
Speaker 1: not an emotion, so like whomen are too emotional? It's like, well, men,

683
00:37:59,239 --> 00:38:02,320
Speaker 1: if men get angry in public, is that not an emotion?

684
00:38:02,360 --> 00:38:05,960
Speaker 1: And how come the two emotional? You know, banner is

685
00:38:05,960 --> 00:38:09,799
Speaker 1: not used to identify that as an emotion. Yes, oh,

686
00:38:09,880 --> 00:38:14,759
Speaker 1: I could talk about that forever. What is the cartoon

687
00:38:15,480 --> 00:38:20,319
Speaker 1: with all the emotions inside out? And well inside out

688
00:38:20,360 --> 00:38:24,600
Speaker 1: taught me different anger's emotion. I saw it. I'm surprised,

689
00:38:24,640 --> 00:38:28,200
Speaker 1: just saw that. You avoid those said, so do I cried,

690
00:38:28,520 --> 00:38:32,200
Speaker 1: well good. I was sad last night. My partner trying

691
00:38:32,200 --> 00:38:33,719
Speaker 1: to made me watch Paddington again. I was like, how

692
00:38:33,800 --> 00:38:37,759
Speaker 1: dare you know? It was Paddington too? I didn't trust

693
00:38:37,840 --> 00:38:43,800
Speaker 1: them after the first one. Anyway, that's fair. Uh. Something

694
00:38:43,840 --> 00:38:47,279
Speaker 1: else that I has been on my mind, and it

695
00:38:47,280 --> 00:38:49,400
Speaker 1: has been a source of frustration for a lot of

696
00:38:49,440 --> 00:38:51,759
Speaker 1: as in that we've talked about on your segments when

697
00:38:51,800 --> 00:38:53,759
Speaker 1: you come on Bridges is this kind of what you

698
00:38:53,800 --> 00:39:00,640
Speaker 1: mentioned is like, not only is Judge Jackson facing all

699
00:39:00,680 --> 00:39:05,200
Speaker 1: of this like job interview that's very intensive, but then

700
00:39:05,239 --> 00:39:09,320
Speaker 1: there's all of these attacks online that are racist and sexist,

701
00:39:09,480 --> 00:39:14,480
Speaker 1: and I we've talked about it. It's not unique to

702
00:39:14,560 --> 00:39:16,759
Speaker 1: this area because we've talked about it in terms of

703
00:39:16,800 --> 00:39:18,640
Speaker 1: video games and we've talked about in terms of entertainment.

704
00:39:18,680 --> 00:39:20,640
Speaker 1: But I feel like that's already a term of gatekeeping.

705
00:39:20,640 --> 00:39:23,040
Speaker 1: This is already an extra thing you're asking people and

706
00:39:23,160 --> 00:39:25,400
Speaker 1: the people that know them, like their families and friends,

707
00:39:26,000 --> 00:39:29,719
Speaker 1: to deal with, and we just seem to accept that

708
00:39:29,840 --> 00:39:33,840
Speaker 1: as the status quo of being a marginalized person that

709
00:39:33,960 --> 00:39:40,200
Speaker 1: exists in our media landscape. Absolutely, you know I I

710
00:39:40,200 --> 00:39:42,080
Speaker 1: I'm so glad that you put it that way because

711
00:39:42,080 --> 00:39:44,719
Speaker 1: I think that we have this understanding that it's just

712
00:39:44,800 --> 00:39:47,640
Speaker 1: the cost of doing business as a marginalized person. And

713
00:39:47,680 --> 00:39:49,760
Speaker 1: if you don't want this kind of thing to happen

714
00:39:49,800 --> 00:39:52,960
Speaker 1: to you, then just don't speak and don't express opinions,

715
00:39:53,000 --> 00:39:55,080
Speaker 1: and don't strive, and don't put yourself out there and

716
00:39:55,120 --> 00:39:57,320
Speaker 1: don't become a public figure and don't serve your public

717
00:39:57,320 --> 00:39:59,360
Speaker 1: and don't like it's just a whole list of don'ts.

718
00:39:59,440 --> 00:40:02,440
Speaker 1: And so I really want to urge people to have

719
00:40:02,520 --> 00:40:04,759
Speaker 1: a shift around their understanding of that and said and

720
00:40:04,800 --> 00:40:07,439
Speaker 1: say like, we deserve to have a media landscape where

721
00:40:07,440 --> 00:40:10,160
Speaker 1: everybody can speak up, everybody can participate, and that you're

722
00:40:10,200 --> 00:40:13,000
Speaker 1: not going to be attacked on fairly based on your

723
00:40:13,040 --> 00:40:15,279
Speaker 1: identity just for putting yourself out there. And so I

724
00:40:15,320 --> 00:40:17,719
Speaker 1: want to quickly talk about some research from the Institute

725
00:40:17,719 --> 00:40:20,759
Speaker 1: for Strategic Dialogue, and they analyze social media abuse of

726
00:40:20,800 --> 00:40:23,680
Speaker 1: candidates and found that women of color candidates are targeted

727
00:40:23,719 --> 00:40:26,440
Speaker 1: on social media at alarming rates. UM. They analyze all

728
00:40:26,480 --> 00:40:29,440
Speaker 1: these different messages that UM these candidates were getting, and

729
00:40:29,480 --> 00:40:32,280
Speaker 1: they found that abusive messages accounted for more than fifteen

730
00:40:32,360 --> 00:40:35,759
Speaker 1: percent of those directed at every female lawmaker they analyze,

731
00:40:35,840 --> 00:40:39,120
Speaker 1: compared with around five to ten percent of the male candidates.

732
00:40:39,280 --> 00:40:42,640
Speaker 1: Women of color were particularly likely to be targeted. Representative

733
00:40:42,640 --> 00:40:45,840
Speaker 1: il Han Omar got the highest proportion thirty nine percent

734
00:40:45,880 --> 00:40:48,879
Speaker 1: of abusive messages of all the candidates, and AOC got

735
00:40:48,880 --> 00:40:51,960
Speaker 1: the highest ratio of abusive comments on Facebook. And when

736
00:40:51,960 --> 00:40:55,000
Speaker 1: you're talking about women, uh, the abuse directed towards women

737
00:40:55,080 --> 00:40:57,319
Speaker 1: is much more likely to be about their gender than

738
00:40:57,400 --> 00:41:00,200
Speaker 1: the abuse has targeting men. Abuse targeting men was much

739
00:41:00,239 --> 00:41:03,600
Speaker 1: more generalized and focus on their political stances, while messages

740
00:41:03,640 --> 00:41:06,560
Speaker 1: directed at women were much more likely to focus on

741
00:41:06,600 --> 00:41:10,680
Speaker 1: either appearance or general competence. And so, yeah, I mean you,

742
00:41:10,840 --> 00:41:13,200
Speaker 1: if you are a woman or a marginalized person who

743
00:41:13,239 --> 00:41:15,600
Speaker 1: is putting yourself out there in this way, you deserve

744
00:41:15,680 --> 00:41:18,480
Speaker 1: to be judged on your merits, your record, your words,

745
00:41:18,560 --> 00:41:23,400
Speaker 1: your deeds, your values, not your identity, not racist sexist tropes,

746
00:41:23,480 --> 00:41:26,600
Speaker 1: not you know, nonsense about women or women of color

747
00:41:26,719 --> 00:41:29,759
Speaker 1: not being good leaders, are being unqualified. You deserve to

748
00:41:29,800 --> 00:41:32,319
Speaker 1: really have your record speak for itself. And I have

749
00:41:32,440 --> 00:41:35,000
Speaker 1: to say it's not just sort of I talk a

750
00:41:35,040 --> 00:41:38,920
Speaker 1: lot about you know, online bad actors. It's not just

751
00:41:39,120 --> 00:41:43,160
Speaker 1: fringe extremists. We also see mainstream media outlets playing a

752
00:41:43,280 --> 00:41:47,719
Speaker 1: huge role in legitimizing and mainstreaming racist sexist attacks on

753
00:41:47,800 --> 00:41:50,640
Speaker 1: women of color in public office. And so you know,

754
00:41:50,719 --> 00:41:53,640
Speaker 1: you might see things like an article about some complete

755
00:41:53,719 --> 00:41:58,080
Speaker 1: racist nonsense or a complete racist attack being quoted in

756
00:41:58,120 --> 00:42:00,800
Speaker 1: the headline of an article. So when people share it

757
00:42:00,840 --> 00:42:03,799
Speaker 1: on social media, it provides the impression that this is

758
00:42:03,800 --> 00:42:06,279
Speaker 1: a legitimate grievance that somebody might have instead of just

759
00:42:06,320 --> 00:42:09,320
Speaker 1: a racist attack. Right, And so we are really calling

760
00:42:09,600 --> 00:42:13,480
Speaker 1: on media to not create the conditions for these kind

761
00:42:13,560 --> 00:42:16,719
Speaker 1: of racist sexist attacks to fester and spread. Right. I

762
00:42:16,719 --> 00:42:20,120
Speaker 1: think that this is a time that really requires everybody,

763
00:42:20,160 --> 00:42:22,600
Speaker 1: whether you are a journalist or an editor or just

764
00:42:22,760 --> 00:42:25,880
Speaker 1: a regular person on social media, to really be careful

765
00:42:26,000 --> 00:42:30,960
Speaker 1: and thoughtful about how you are talking about this very

766
00:42:31,080 --> 00:42:33,879
Speaker 1: visible black woman who is going up for this very

767
00:42:34,000 --> 00:42:37,400
Speaker 1: visible position in the Supreme Court. Okay, I feel like

768
00:42:37,440 --> 00:42:39,759
Speaker 1: you just let us into this. So tell us the

769
00:42:39,800 --> 00:42:44,040
Speaker 1: listeners and US voters and UH constituents who are here

770
00:42:44,160 --> 00:42:48,160
Speaker 1: to not only look and see and view and be

771
00:42:48,200 --> 00:42:52,360
Speaker 1: the audience, but participate in help stopping this harmful disinformation.

772
00:42:52,480 --> 00:42:55,839
Speaker 1: What do we need to do to make sure that

773
00:42:55,920 --> 00:42:58,120
Speaker 1: we are not only engaging in that, but not being

774
00:42:58,120 --> 00:43:00,480
Speaker 1: a part of that, but not spreading that. I'm so

775
00:43:00,560 --> 00:43:02,839
Speaker 1: glad you asked. So first, it's just you know, if

776
00:43:02,880 --> 00:43:06,880
Speaker 1: you see like a harmful racist, sexist attack or a

777
00:43:06,960 --> 00:43:10,160
Speaker 1: conspiracy theory, first and foremost, don't spread it. Nine times

778
00:43:10,160 --> 00:43:11,960
Speaker 1: out of Tenant you see this kind of thing, if

779
00:43:12,000 --> 00:43:15,280
Speaker 1: you retweet it or like comment on it, you're actually

780
00:43:15,280 --> 00:43:17,960
Speaker 1: just helping it grow and spread. Because of the algorithmic

781
00:43:18,000 --> 00:43:20,200
Speaker 1: nature of most of our social media platforms, and so

782
00:43:20,440 --> 00:43:22,520
Speaker 1: the platform is going to think like, oh, this person

783
00:43:22,560 --> 00:43:24,400
Speaker 1: is engaging with this, it must be good content. I'm

784
00:43:24,400 --> 00:43:26,879
Speaker 1: going to surface it for more people. So don't do that.

785
00:43:27,200 --> 00:43:32,200
Speaker 1: Focus instead on sharing accurate, timely information about the issues

786
00:43:32,239 --> 00:43:35,920
Speaker 1: and the candidates. Right, So, talk to people about Judge

787
00:43:35,960 --> 00:43:39,560
Speaker 1: Jackson's actual record, talk to people about her actual positions

788
00:43:39,560 --> 00:43:41,960
Speaker 1: and where she actually stands. That that will kind of

789
00:43:41,960 --> 00:43:45,239
Speaker 1: provide a little bit of taking the oxygen out of

790
00:43:45,280 --> 00:43:48,000
Speaker 1: the kinds of racist, sexist, gendered attacks we are shut

791
00:43:48,040 --> 00:43:50,360
Speaker 1: to see. You can go to we are ultra violet

792
00:43:50,360 --> 00:43:53,400
Speaker 1: dot org and check out our media kit. Really asking

793
00:43:53,440 --> 00:43:56,200
Speaker 1: for the media to create the conditions for this person

794
00:43:56,239 --> 00:43:59,200
Speaker 1: to be you know, fairly judged and fairly talked about

795
00:43:59,239 --> 00:44:02,799
Speaker 1: and and and fair assessed by the American public. And

796
00:44:02,840 --> 00:44:04,960
Speaker 1: also the last one I would say is like, just

797
00:44:05,120 --> 00:44:08,239
Speaker 1: really ask questions and be I think this is a

798
00:44:08,239 --> 00:44:10,799
Speaker 1: time where we will really be rewarded if we are

799
00:44:10,920 --> 00:44:14,719
Speaker 1: interested in being critical thinkers. Right, So when someone says like, oh,

800
00:44:14,840 --> 00:44:17,520
Speaker 1: she's too radical, but can't give you a single thing

801
00:44:17,560 --> 00:44:20,239
Speaker 1: that backs up what they're saying, or when someone says like, oh,

802
00:44:20,280 --> 00:44:22,560
Speaker 1: she's just gonna be really woke, you know, really being

803
00:44:22,600 --> 00:44:24,560
Speaker 1: able to ask, you know, what do you mean by that?

804
00:44:24,600 --> 00:44:26,120
Speaker 1: What is? What? What? What? When you say woke? Like,

805
00:44:26,160 --> 00:44:27,719
Speaker 1: what does that mean? What are you trying to say?

806
00:44:27,920 --> 00:44:30,279
Speaker 1: I have found that to be really useful when I'm

807
00:44:30,320 --> 00:44:33,720
Speaker 1: having conversations, particularly with people that may not be aligned

808
00:44:33,719 --> 00:44:37,120
Speaker 1: with me politically, you know, really getting down to what

809
00:44:37,280 --> 00:44:39,880
Speaker 1: is the substitutive thing that you are trying to say.

810
00:44:39,960 --> 00:44:42,239
Speaker 1: And if the answer is well, I just don't like

811
00:44:42,280 --> 00:44:43,680
Speaker 1: her because she's a black woman and I don't like

812
00:44:43,719 --> 00:44:46,279
Speaker 1: black women, then say that so we can so we

813
00:44:46,320 --> 00:44:50,160
Speaker 1: can you know, address that for what it is. Be

814
00:44:50,320 --> 00:44:52,239
Speaker 1: loud about it, because you know you're already pretty much

815
00:44:52,239 --> 00:44:54,799
Speaker 1: saying it, right, Like say it with your chest. If

816
00:44:54,800 --> 00:44:58,080
Speaker 1: you're gonna say just do it, you're already doing it.

817
00:44:58,080 --> 00:45:00,400
Speaker 1: It feels hypocritical for me to ask this, so I

818
00:45:00,480 --> 00:45:04,880
Speaker 1: apologize from the jump, But as non black women and

819
00:45:05,120 --> 00:45:10,000
Speaker 1: for our male identifying listeners, what can we do to

820
00:45:10,239 --> 00:45:13,959
Speaker 1: make sure because we know we already know black women

821
00:45:13,960 --> 00:45:17,200
Speaker 1: are just the out. But the fact of the matter is,

822
00:45:17,360 --> 00:45:19,879
Speaker 1: with this is going to come on to so many

823
00:45:19,920 --> 00:45:22,880
Speaker 1: more attacks is visceral. We we know what's gonna happen.

824
00:45:23,080 --> 00:45:25,040
Speaker 1: We know it, and it's gonna be harmful and it's

825
00:45:25,080 --> 00:45:27,359
Speaker 1: gonna be gross. And not only should we do all

826
00:45:27,400 --> 00:45:29,000
Speaker 1: the things that you told us to do, but what

827
00:45:29,080 --> 00:45:34,000
Speaker 1: can we do to ease load a but help fight

828
00:45:35,200 --> 00:45:40,280
Speaker 1: for y'all? In general? I love this question. I would say,

829
00:45:40,440 --> 00:45:43,120
Speaker 1: first of all, it's probably a tall order, but I

830
00:45:43,120 --> 00:45:47,080
Speaker 1: would love to see a shift where we understand that

831
00:45:47,320 --> 00:45:50,359
Speaker 1: this fight is all of our fight, like we are

832
00:45:50,400 --> 00:45:52,480
Speaker 1: that you know, the more marginalized you are, the more

833
00:45:52,480 --> 00:45:55,000
Speaker 1: you are a target. But this kind of thing really

834
00:45:55,040 --> 00:45:58,080
Speaker 1: harms us all as I think seeing this work as

835
00:45:58,200 --> 00:46:01,480
Speaker 1: all of our work to create a how healthy democracy

836
00:46:01,680 --> 00:46:04,399
Speaker 1: is really key, and so these kinds of attacks, they

837
00:46:04,400 --> 00:46:06,680
Speaker 1: don't just hurt the women that are subjected to them.

838
00:46:07,000 --> 00:46:11,319
Speaker 1: They really have a meaningful impact on the health and

839
00:46:11,360 --> 00:46:13,960
Speaker 1: well being of our democracy, because we can't have a

840
00:46:14,600 --> 00:46:19,240
Speaker 1: fully functioning representative democracy if everybody is not able to

841
00:46:19,360 --> 00:46:21,800
Speaker 1: use their voice, if everybody is not able to participate.

842
00:46:21,840 --> 00:46:24,919
Speaker 1: And so step one of that really comes with having

843
00:46:24,960 --> 00:46:28,720
Speaker 1: a healthy media ecosystem and a healthy climate for everybody

844
00:46:28,760 --> 00:46:30,839
Speaker 1: to be able to participate. And so I would say

845
00:46:30,840 --> 00:46:35,399
Speaker 1: really working to see these attacks on marginalized people as

846
00:46:35,520 --> 00:46:37,360
Speaker 1: all of our fight, because all of us are invested

847
00:46:37,400 --> 00:46:39,960
Speaker 1: in having a healthy democracy, whether you are a man,

848
00:46:40,080 --> 00:46:43,239
Speaker 1: a woman, black, white, like, it is all of our fight.

849
00:46:43,440 --> 00:46:48,239
Speaker 1: And so really being able to to see this as

850
00:46:48,280 --> 00:46:51,080
Speaker 1: something that you're meaningfully invested in, not just because it's

851
00:46:51,080 --> 00:46:52,960
Speaker 1: the right thing to do, which it is, but because

852
00:46:53,440 --> 00:46:58,040
Speaker 1: we all deserve to have a functioning democracy. Yes, I

853
00:46:58,120 --> 00:47:01,160
Speaker 1: love it, well said as always, bridget any other resources

854
00:47:01,160 --> 00:47:04,520
Speaker 1: you want to shout out, any final thoughts, Yeah, I

855
00:47:04,560 --> 00:47:07,279
Speaker 1: would I I have to just again shout out the

856
00:47:07,280 --> 00:47:10,520
Speaker 1: work of Sister Scotis. They have been really doing a

857
00:47:10,520 --> 00:47:13,440
Speaker 1: lot of the work of building this infrastructure to hold

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00:47:13,560 --> 00:47:15,919
Speaker 1: by an accountable for this campaign promise that he made.

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00:47:15,960 --> 00:47:18,040
Speaker 1: So their their website is awesome. The women who run

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00:47:18,040 --> 00:47:20,000
Speaker 1: it are awesome, so definitely check them out. You can

861
00:47:20,080 --> 00:47:22,520
Speaker 1: check out Ultra violets work. You know, we are doing

862
00:47:22,560 --> 00:47:26,320
Speaker 1: a lot of the work of trying to inoculate folks

863
00:47:26,320 --> 00:47:29,359
Speaker 1: against disinformation and like help people spot it when they

864
00:47:29,360 --> 00:47:31,239
Speaker 1: see it and identify it. So you can check us

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00:47:31,239 --> 00:47:33,480
Speaker 1: out at we are ultra violet dot org. And of

866
00:47:33,520 --> 00:47:36,120
Speaker 1: course you can always check out my podcast There Are

867
00:47:36,120 --> 00:47:38,720
Speaker 1: No Girls on the Internet. Check out our new season

868
00:47:38,880 --> 00:47:42,120
Speaker 1: which is dropping March first, and yeah, we would love

869
00:47:42,120 --> 00:47:47,239
Speaker 1: to have you there. Yes, yes, award winning podcast. You

870
00:47:47,280 --> 00:47:53,000
Speaker 1: haven't that subscribe button already? Why? Yes? Yes, I agree?

871
00:47:53,080 --> 00:47:59,359
Speaker 1: Why what are you waiting for? What are you doing? Yes?

872
00:47:59,400 --> 00:48:03,520
Speaker 1: Which as this episode releases, that should just be airing

873
00:48:03,600 --> 00:48:07,840
Speaker 1: so perfectly timely, very exciting and we can't wait to

874
00:48:07,920 --> 00:48:09,960
Speaker 1: talk to you again. Bridget Thank you, thank you, thank

875
00:48:10,000 --> 00:48:12,319
Speaker 1: you so much as always for being here. You are

876
00:48:12,360 --> 00:48:14,600
Speaker 1: the best. We love you. Thank you so much for

877
00:48:14,640 --> 00:48:16,759
Speaker 1: having me. It's been kind of fun talking about this

878
00:48:16,800 --> 00:48:19,680
Speaker 1: like very timely issue that is like happening today as

879
00:48:19,680 --> 00:48:22,200
Speaker 1: opposed to looking back on it. So thank you for

880
00:48:22,239 --> 00:48:25,960
Speaker 1: giving me the space to do that. Yes, absolutely, anytime,

881
00:48:26,520 --> 00:48:28,920
Speaker 1: and thank you listeners for listening. If you would like

882
00:48:28,960 --> 00:48:31,120
Speaker 1: to contact us, you can our emailus, stuff to your mom,

883
00:48:31,160 --> 00:48:32,799
Speaker 1: stuff that I hurted me, you dot com, you find

884
00:48:32,840 --> 00:48:34,600
Speaker 1: us on Twitter at mom, s to podcast or Instagram,

885
00:48:34,640 --> 00:48:36,480
Speaker 1: and stuff I've never told you. Thanks as always to

886
00:48:36,520 --> 00:48:39,319
Speaker 1: our super producer Christie, we love you. To Chris Data,

887
00:48:39,480 --> 00:48:42,200
Speaker 1: Yes you're the best. We love you, and thanks to

888
00:48:42,239 --> 00:48:43,800
Speaker 1: you for listening. Stuff one ever told the instruction of

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Speaker 1: I Heart Radio for more podcast. My Heart Radio is

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Speaker 1: a diet radio app' a podcast. We're will be listening

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Speaker 1: to your favorite shows