WEBVTT - How the Gender Pay Gap Works

0:00:00.160 --> 0:00:02.480
<v Speaker 1>This episode is brought to you by square Space. Start

0:00:02.480 --> 0:00:05.480
<v Speaker 1>building your website today at square space dot com. Inter

0:00:05.640 --> 0:00:08.639
<v Speaker 1>offer code stuff at checkout to get ten percent off

0:00:08.920 --> 0:00:13.720
<v Speaker 1>square Space. Set your website apart. Welcome to Stuff you

0:00:13.720 --> 0:00:22.520
<v Speaker 1>Should Know from House Stuff Works dot com. Hey, and

0:00:22.560 --> 0:00:25.479
<v Speaker 1>welcome to the podcast. I'm Josh Clark. There's Charles W

0:00:25.640 --> 0:00:28.600
<v Speaker 1>Chuck Bryant, and Jerry. So it's stuff you should Know.

0:00:29.560 --> 0:00:34.000
<v Speaker 1>Oh is this coming out on Equal pay Day? I

0:00:34.040 --> 0:00:37.720
<v Speaker 1>don't think so. Well. Equal pay Day may have come

0:00:37.760 --> 0:00:39.920
<v Speaker 1>and gone by now, but it was April twelve, two

0:00:39.920 --> 0:00:44.400
<v Speaker 1>thousand sixteen, that's right. And do you remember when we

0:00:44.479 --> 0:00:48.080
<v Speaker 1>did our this Day in History weirdo series or video

0:00:48.120 --> 0:00:50.560
<v Speaker 1>series that was pretty great? It was a little odd.

0:00:50.600 --> 0:00:53.680
<v Speaker 1>It was Lynch I in I was, but one of

0:00:53.720 --> 0:00:56.960
<v Speaker 1>the one of the ones that we did was on

0:00:57.440 --> 0:01:01.320
<v Speaker 1>um uh Lily Ladbetter. Yeah, and I think it was

0:01:01.360 --> 0:01:06.440
<v Speaker 1>on Equal pay Day. I think I remember it. Um.

0:01:06.480 --> 0:01:08.520
<v Speaker 1>But Equal pay Day, for those of you not in

0:01:08.560 --> 0:01:12.959
<v Speaker 1>the know, is a day in the United States UM

0:01:13.000 --> 0:01:17.480
<v Speaker 1>where working women who work full time, year round would

0:01:17.480 --> 0:01:21.360
<v Speaker 1>have to work until to get the equal amount of

0:01:21.360 --> 0:01:24.800
<v Speaker 1>pay that their male counterparts got for the year before. Right,

0:01:24.920 --> 0:01:28.720
<v Speaker 1>So it is two thousand sixteen. So take our pay

0:01:28.800 --> 0:01:31.800
<v Speaker 1>for two thousand fifteen, and we'll don't take our pay.

0:01:31.880 --> 0:01:34.800
<v Speaker 1>We want to keep that. But take a man's pay,

0:01:34.840 --> 0:01:38.400
<v Speaker 1>a real man's pay from a woman in the same

0:01:38.440 --> 0:01:41.600
<v Speaker 1>position would have to work. I mean it changes every year, right,

0:01:42.240 --> 0:01:46.440
<v Speaker 1>the date, Uh, if the amount of pay changes, are

0:01:46.480 --> 0:01:49.880
<v Speaker 1>the paid disparity changes, right, But the significance of that

0:01:49.960 --> 0:01:51.920
<v Speaker 1>date would be like a woman has to work until

0:01:51.960 --> 0:01:55.680
<v Speaker 1>April whatever to the following year to make as much

0:01:55.680 --> 0:01:57.840
<v Speaker 1>as the man made in the previous year. Right. I

0:01:57.840 --> 0:01:59.640
<v Speaker 1>think I just basically said the same thing you said,

0:02:00.160 --> 0:02:02.680
<v Speaker 1>just in a weird way. And this is this is

0:02:02.720 --> 0:02:05.920
<v Speaker 1>nothing new. Actually, this idea that there is a disparity,

0:02:06.720 --> 0:02:10.680
<v Speaker 1>a pay gap, if you will, between men and women

0:02:10.800 --> 0:02:13.840
<v Speaker 1>in the United States, and actually it's around the world, um.

0:02:13.880 --> 0:02:17.360
<v Speaker 1>And the idea behind it is that women's work is

0:02:17.440 --> 0:02:22.399
<v Speaker 1>just inherently less valued than men's work. Um. And there's

0:02:22.440 --> 0:02:25.639
<v Speaker 1>a lot of debate over this. Barack Obama in the

0:02:25.720 --> 0:02:29.000
<v Speaker 1>State of the Union address in I don't remember the year,

0:02:29.800 --> 0:02:32.800
<v Speaker 1>said it might have been his last one where he said, um,

0:02:33.080 --> 0:02:37.720
<v Speaker 1>women make of what men make, and that's not okay.

0:02:38.040 --> 0:02:40.640
<v Speaker 1>We need to do something about that. Kind of sounded

0:02:40.720 --> 0:02:45.000
<v Speaker 1>like Obama, thanks man, thanks look at you like I

0:02:45.040 --> 0:02:46.840
<v Speaker 1>looked up for a minute. I was like, your President

0:02:46.880 --> 0:02:49.240
<v Speaker 1>Obama in the room. You really did look up. You

0:02:49.240 --> 0:02:51.200
<v Speaker 1>guys couldn't see it, but Chuck really did look up.

0:02:51.280 --> 0:02:54.280
<v Speaker 1>That was good. Uh. This Uh, the National Committee on

0:02:54.320 --> 0:02:59.200
<v Speaker 1>Pay Equity is who um, who began holding equal pay

0:02:59.280 --> 0:03:04.440
<v Speaker 1>day right in but UM apparently was it in a

0:03:04.560 --> 0:03:07.840
<v Speaker 1>nineteen fifty is when they started kind of gathering data

0:03:07.880 --> 0:03:10.919
<v Speaker 1>on this. Yeah. I think the Bureau of Labor Statistics

0:03:10.919 --> 0:03:13.120
<v Speaker 1>really started looking at it hard in the fifties. But

0:03:13.520 --> 0:03:17.400
<v Speaker 1>the paid disparity goes back way further than that, basically

0:03:17.400 --> 0:03:20.080
<v Speaker 1>to the beginning of the country. Yeah, so when people

0:03:20.080 --> 0:03:23.120
<v Speaker 1>started working and earning money, and when women were even

0:03:23.120 --> 0:03:25.920
<v Speaker 1>allowed to work. We need to do an episode just

0:03:26.040 --> 0:03:28.799
<v Speaker 1>on wage labor in the origin of it, the history

0:03:28.840 --> 0:03:33.239
<v Speaker 1>of it. Yeah, it's super fascinating interesting. So go back

0:03:33.240 --> 0:03:35.600
<v Speaker 1>in time, some things used to be a lot worse.

0:03:35.760 --> 0:03:39.600
<v Speaker 1>Believe it or not. UM. Women earned thirty cents on

0:03:39.640 --> 0:03:43.680
<v Speaker 1>the dollar in the early at the dawn of America, UM,

0:03:43.680 --> 0:03:47.800
<v Speaker 1>when we were farming mainly UM. During the Industrial Revolution,

0:03:47.840 --> 0:03:51.320
<v Speaker 1>things got a little bit better about fifty UM up

0:03:51.360 --> 0:03:57.200
<v Speaker 1>to UM. But here's the distressing thing. Um, in nineteen

0:03:57.240 --> 0:04:01.280
<v Speaker 1>sixty three, Congress pass the Equal Pay Act, and since

0:04:01.360 --> 0:04:04.480
<v Speaker 1>then it was about six for a little while, but

0:04:04.520 --> 0:04:08.120
<v Speaker 1>in the eighties they climbed up to and then thirty

0:04:08.200 --> 0:04:13.600
<v Speaker 1>years later it's only climbed up four percent. It's basically stagnated.

0:04:14.560 --> 0:04:17.320
<v Speaker 1>It's very much leveled off. And the sad thing is

0:04:17.320 --> 0:04:20.880
<v Speaker 1>is what you're seeing then is as men's wages grow,

0:04:21.000 --> 0:04:25.880
<v Speaker 1>women's wages aren't growing. Then, Um, it's a it's and

0:04:25.920 --> 0:04:29.479
<v Speaker 1>it's a big deal. It's a big problem because, um,

0:04:29.640 --> 0:04:32.839
<v Speaker 1>women are losing out on a tremendous amount of money

0:04:32.960 --> 0:04:36.640
<v Speaker 1>over their lifetimes. Um, just for what seems to be

0:04:36.960 --> 0:04:40.520
<v Speaker 1>gender discrimination. And I want to say now before anybody

0:04:40.560 --> 0:04:43.279
<v Speaker 1>just loses their mind, there are a lot of theories

0:04:43.279 --> 0:04:46.400
<v Speaker 1>behind this, and gender discrimination is one of them, but

0:04:46.520 --> 0:04:50.680
<v Speaker 1>none of them are actually proven necessarily. No, And like

0:04:50.839 --> 0:04:53.400
<v Speaker 1>most things, I think it's probably a combination of many,

0:04:53.440 --> 0:04:57.080
<v Speaker 1>many things, most likely. But as I was saying, whatever

0:04:57.120 --> 0:04:59.480
<v Speaker 1>the cause, women are losing out on a lot of money. So,

0:04:59.560 --> 0:05:03.160
<v Speaker 1>for examp, will check in two thousand eleven, five year

0:05:03.160 --> 0:05:05.960
<v Speaker 1>old woman earned about five grand less per year than

0:05:06.000 --> 0:05:09.560
<v Speaker 1>her male counterpart. And this is just woman who worked

0:05:09.920 --> 0:05:13.200
<v Speaker 1>full time, year round, man who worked full time, year round,

0:05:13.400 --> 0:05:17.320
<v Speaker 1>age five and in five grand, you're like, yeah, that's

0:05:17.440 --> 0:05:19.200
<v Speaker 1>that's a lot. You can see a lot of movies

0:05:19.720 --> 0:05:22.200
<v Speaker 1>with five grand. But when you add it up over

0:05:22.720 --> 0:05:25.280
<v Speaker 1>the woman's career and by the time she makes us

0:05:25.279 --> 0:05:27.960
<v Speaker 1>the sixty five, she will have lost out on four

0:05:28.040 --> 0:05:30.760
<v Speaker 1>hundred and thirty thousand dollars in wages compared to her

0:05:30.880 --> 0:05:34.200
<v Speaker 1>male counterpart. Yeah. That if if that remains consistent throughout

0:05:34.200 --> 0:05:36.120
<v Speaker 1>her career, that's a lot of dough. That's a lot

0:05:36.120 --> 0:05:39.920
<v Speaker 1>of movies. Uh. And this is uh, these are white women.

0:05:39.920 --> 0:05:43.320
<v Speaker 1>It gets much worse if you go across the races. Um,

0:05:43.360 --> 0:05:48.080
<v Speaker 1>an African American woman, the figure dips to sixty percent

0:05:48.200 --> 0:05:52.000
<v Speaker 1>sixty point five. Hispanic females even worse. Uh. And by

0:05:52.000 --> 0:05:53.640
<v Speaker 1>the way, we can say male and female because we're

0:05:53.640 --> 0:05:58.039
<v Speaker 1>talking about studies here. Yeah, layoff, um fifty four percent

0:05:58.480 --> 0:06:02.520
<v Speaker 1>fifty four point six for Hispanic women, and only Asian

0:06:02.520 --> 0:06:06.599
<v Speaker 1>women did better than white women, uh, with eighty three

0:06:06.640 --> 0:06:10.720
<v Speaker 1>point five percent of what their white male counterparts made. Yeah.

0:06:10.760 --> 0:06:13.760
<v Speaker 1>And I openingly, if you look at the earners in

0:06:13.800 --> 0:06:16.880
<v Speaker 1>the United States, white men are not the top Asian

0:06:16.880 --> 0:06:19.880
<v Speaker 1>men are actually the top earners. They earn on average

0:06:19.880 --> 0:06:23.160
<v Speaker 1>in two thousand, fourteen hundred and thirteen point five percent

0:06:23.240 --> 0:06:28.159
<v Speaker 1>more than white men. Uh huh. Interesting. Um, And there's

0:06:28.200 --> 0:06:30.920
<v Speaker 1>I want to say something to also the equal pay

0:06:31.040 --> 0:06:33.880
<v Speaker 1>day where a woman would have to work too to

0:06:33.960 --> 0:06:36.560
<v Speaker 1>make the way. Just that's a white woman would have

0:06:36.600 --> 0:06:39.760
<v Speaker 1>to work to April twelve. If you are an African

0:06:39.760 --> 0:06:43.159
<v Speaker 1>American woman, you would have to work until June to

0:06:43.320 --> 0:06:46.400
<v Speaker 1>make the what the average or the median pay of

0:06:46.440 --> 0:06:49.000
<v Speaker 1>a white man for the year before Latino woman all

0:06:49.040 --> 0:06:51.960
<v Speaker 1>the way into October. Yeah, so it's like it almost

0:06:52.760 --> 0:06:55.480
<v Speaker 1>I mean it's almost like twice as long. Alright. So

0:06:55.560 --> 0:06:58.719
<v Speaker 1>here is um, here's how it's determined. And this is

0:06:58.720 --> 0:07:01.920
<v Speaker 1>one of the one the problems with trying to get

0:07:02.000 --> 0:07:04.360
<v Speaker 1>behind the reasons because it's one thing to to talk

0:07:04.360 --> 0:07:07.360
<v Speaker 1>about this stuff, but what unless you can make change

0:07:07.760 --> 0:07:10.840
<v Speaker 1>and help this out, then it's just talking about it,

0:07:10.880 --> 0:07:13.920
<v Speaker 1>like to make a difference, you need to really understand

0:07:13.920 --> 0:07:17.000
<v Speaker 1>the underlying problems. Oh yeah, yeah yeah. But I think

0:07:17.080 --> 0:07:19.640
<v Speaker 1>step one is what's being done now and has been

0:07:19.640 --> 0:07:23.600
<v Speaker 1>done since shining a spotlight on absolutely and I think

0:07:23.600 --> 0:07:26.720
<v Speaker 1>step one is being undertaken still that we're trying to

0:07:26.800 --> 0:07:30.680
<v Speaker 1>understand it. But yeah, it's definitely it's definitely not settled. Like,

0:07:30.960 --> 0:07:34.280
<v Speaker 1>here's the problem, right, So one of the problems and

0:07:34.360 --> 0:07:37.560
<v Speaker 1>trying to is data and getting really good data. Um.

0:07:37.640 --> 0:07:40.280
<v Speaker 1>The way they get the pay gap figure is they

0:07:41.000 --> 0:07:44.040
<v Speaker 1>take all the women working full time, year round, find

0:07:44.040 --> 0:07:47.200
<v Speaker 1>their median salary. It's not an average median is in

0:07:47.200 --> 0:07:50.360
<v Speaker 1>the middle, um. And then they take that same calculation

0:07:50.400 --> 0:07:53.280
<v Speaker 1>for men and they say, well, subtract us too, and

0:07:53.280 --> 0:07:57.560
<v Speaker 1>this is the wage gap. Okay, so that's actually the

0:07:57.560 --> 0:08:00.720
<v Speaker 1>the earnings ratio. Right, So when you see something, uh,

0:08:00.840 --> 0:08:04.760
<v Speaker 1>women make sevent of what men make, it's very frequently

0:08:04.760 --> 0:08:06.680
<v Speaker 1>in this article does it all over the place, it's

0:08:06.720 --> 0:08:09.040
<v Speaker 1>called the wage gap. That's not the wage gap. That's

0:08:09.040 --> 0:08:13.960
<v Speaker 1>the earnings ratio. The wage gap would be yeah, yeah,

0:08:13.960 --> 0:08:16.280
<v Speaker 1>you know what I mean. But it's it's confusing, like

0:08:16.280 --> 0:08:17.880
<v Speaker 1>because if you think about you're like, wow, the wage

0:08:17.880 --> 0:08:21.520
<v Speaker 1>cap is sev the wage gap is. The earnings ratio

0:08:21.600 --> 0:08:25.280
<v Speaker 1>is seventy. But people tend to use that bigger number

0:08:25.320 --> 0:08:29.080
<v Speaker 1>because it's more eye popping when you're a media mogul, right,

0:08:29.320 --> 0:08:32.920
<v Speaker 1>you know what I mean? Absolutely, uh So a lot

0:08:32.920 --> 0:08:35.480
<v Speaker 1>of people will say that that just that calculation is

0:08:35.520 --> 0:08:39.120
<v Speaker 1>too broad to draw a conclusion, and it probably is.

0:08:39.160 --> 0:08:42.720
<v Speaker 1>You need better data for sure. Um. And this article

0:08:42.760 --> 0:08:44.360
<v Speaker 1>even points out that, you know, you can't take that

0:08:44.400 --> 0:08:47.960
<v Speaker 1>one statistic and and say this is all you need

0:08:48.000 --> 0:08:51.160
<v Speaker 1>to know about pay inequality. Like, I don't think anyone's

0:08:51.200 --> 0:08:56.400
<v Speaker 1>saying that, no, well, dummies. So but the one thing

0:08:56.440 --> 0:08:59.720
<v Speaker 1>that does so unfortunately is it gives critics a chance

0:08:59.760 --> 0:09:04.679
<v Speaker 1>to holes in it and dismiss it outright. Um, you know, yeah,

0:09:04.720 --> 0:09:08.560
<v Speaker 1>because they're saying, okay, let's let's take a step back here.

0:09:08.920 --> 0:09:12.680
<v Speaker 1>You're taking the median salary for all of the men

0:09:13.120 --> 0:09:17.959
<v Speaker 1>who worked in the United States full time, and then

0:09:17.960 --> 0:09:21.040
<v Speaker 1>you're taking the median salary for all the women who

0:09:21.080 --> 0:09:23.959
<v Speaker 1>worked full time in the United States throughout the entirety

0:09:23.960 --> 0:09:28.640
<v Speaker 1>of two thousand and that's comparing apples to oranges, they say.

0:09:28.960 --> 0:09:31.400
<v Speaker 1>And one, there's a number of reasons why they say

0:09:31.480 --> 0:09:34.720
<v Speaker 1>you're actually comparing apples oranges. There's a lot of different

0:09:34.800 --> 0:09:37.080
<v Speaker 1>um jobs that are being done, there's a lot of

0:09:37.160 --> 0:09:41.920
<v Speaker 1>varying educational backgrounds, there's a lot of different experience backgrounds,

0:09:42.080 --> 0:09:44.400
<v Speaker 1>and you just can't compare the two. So let's not

0:09:44.480 --> 0:09:46.880
<v Speaker 1>talk about this again. Okay, right now? What this the

0:09:46.920 --> 0:09:50.040
<v Speaker 1>follow up should be. So let's drill down further and

0:09:50.120 --> 0:09:52.400
<v Speaker 1>get better data and talk about it even in a

0:09:52.440 --> 0:09:55.280
<v Speaker 1>more detailed way, which some people are doing, which we'll

0:09:55.280 --> 0:09:59.280
<v Speaker 1>get to. Um. This was fascinating to me about job

0:09:59.400 --> 0:10:04.960
<v Speaker 1>clustering or occupational clustering. I know about job clustering. Uh,

0:10:06.120 --> 0:10:11.480
<v Speaker 1>of all working women are employed in just twenty fields. Uh,

0:10:11.640 --> 0:10:14.000
<v Speaker 1>it's crazy. It is crazy. Um. If you look at

0:10:14.040 --> 0:10:17.720
<v Speaker 1>men um, about thirty to thirty work in the top

0:10:17.800 --> 0:10:21.800
<v Speaker 1>twenty occupations for males, which are you know, we're talking

0:10:22.360 --> 0:10:26.920
<v Speaker 1>a lot of times managerial and supervisional roles, but also

0:10:27.080 --> 0:10:29.720
<v Speaker 1>roles that are more physically demanding two and may pay

0:10:29.760 --> 0:10:32.520
<v Speaker 1>more yeah, or more dangerous sometimes, Like they make the

0:10:32.520 --> 0:10:36.400
<v Speaker 1>point that you'll probably find a man uh working as

0:10:36.480 --> 0:10:38.480
<v Speaker 1>like a long haul trucker, although we've heard from quite

0:10:38.480 --> 0:10:40.640
<v Speaker 1>a few women who who are doing it. Large March.

0:10:40.800 --> 0:10:43.480
<v Speaker 1>Have you not seen Big Adventure? Have you seen the

0:10:43.480 --> 0:10:45.200
<v Speaker 1>new one yet? Not yet? Is it good? I haven't

0:10:45.240 --> 0:10:47.080
<v Speaker 1>seen it yet. I can't wait. I'm kind of afraid to.

0:10:47.840 --> 0:10:50.920
<v Speaker 1>I did see Stitches the Clown though, and it's got

0:10:50.960 --> 0:10:53.440
<v Speaker 1>like a one star rating and usually on Netflix that

0:10:53.520 --> 0:10:55.800
<v Speaker 1>means like stay away for real, but for you it

0:10:55.880 --> 0:10:58.360
<v Speaker 1>means dig in. Well I read I read about it

0:10:58.400 --> 0:11:00.559
<v Speaker 1>online too. It may be kind of interested. I don't

0:11:00.559 --> 0:11:03.400
<v Speaker 1>think I know what that is. It's an Irish black

0:11:03.720 --> 0:11:08.240
<v Speaker 1>comedy horror movie. Um, about a clown that was murdered

0:11:08.280 --> 0:11:10.480
<v Speaker 1>that comes back from the dead to take his revenge

0:11:10.720 --> 0:11:14.840
<v Speaker 1>in the most gruesome and gory ways. Problem Taylor made

0:11:14.840 --> 0:11:17.800
<v Speaker 1>for Josh Clark. But it's it's hilarious too, Like it's

0:11:17.800 --> 0:11:21.880
<v Speaker 1>meant to be tongue in cheek to check that out. Um,

0:11:21.960 --> 0:11:25.080
<v Speaker 1>we're talking about how, uh some women are in the

0:11:25.080 --> 0:11:30.760
<v Speaker 1>trucking industry. That's right, but the cluster of occupations for women, um,

0:11:30.800 --> 0:11:34.640
<v Speaker 1>generally speaking pay less than the cluster of occupations uh

0:11:34.960 --> 0:11:38.800
<v Speaker 1>that men prefer. Yeah, here's the thing. When you take

0:11:38.880 --> 0:11:41.880
<v Speaker 1>a woman in the trucking industry salary and compared to

0:11:41.920 --> 0:11:44.400
<v Speaker 1>a man in the trucking industry salary, it's it's still

0:11:44.400 --> 0:11:47.760
<v Speaker 1>going to be less. And then conversely, when you look

0:11:47.800 --> 0:11:52.960
<v Speaker 1>at a man who who has entered a female dominated field,

0:11:53.160 --> 0:11:56.400
<v Speaker 1>say like nursing, they're still gonna probably make more than

0:11:56.440 --> 0:12:01.800
<v Speaker 1>their female counterparts. Yeah, elementary school cheach as human resources administrators.

0:12:01.800 --> 0:12:04.440
<v Speaker 1>The pay gap is only one per cent um, but

0:12:04.559 --> 0:12:07.440
<v Speaker 1>it's still there. No, exactly, it's still there. Like literally,

0:12:07.480 --> 0:12:13.200
<v Speaker 1>if they compared same experience, same uh, same job, working

0:12:13.240 --> 0:12:16.600
<v Speaker 1>the same amount of hours, almost always across the board,

0:12:16.600 --> 0:12:18.720
<v Speaker 1>men will still make more. Even like you said, if

0:12:18.760 --> 0:12:21.960
<v Speaker 1>it's nursing, which historically people might think is a job

0:12:22.000 --> 0:12:24.719
<v Speaker 1>that more women prefer. Uh. What you're talking about the

0:12:24.840 --> 0:12:29.000
<v Speaker 1>chuck is called occupational gender segregation, and that in and

0:12:29.040 --> 0:12:32.720
<v Speaker 1>of itself is a big problem here. It's saying, um,

0:12:33.040 --> 0:12:35.320
<v Speaker 1>but we here in the United States really tend to

0:12:35.400 --> 0:12:38.560
<v Speaker 1>value the work that women do less than the work

0:12:38.600 --> 0:12:42.000
<v Speaker 1>that men do. Just by saying these jobs that are

0:12:42.000 --> 0:12:47.520
<v Speaker 1>traditionally women women staffed are um just traditionally paid less.

0:12:47.559 --> 0:12:49.440
<v Speaker 1>That whole field is yeah, and it's and it's not

0:12:49.480 --> 0:12:52.240
<v Speaker 1>like the nineteen thirties and forties and fifties where it's

0:12:52.240 --> 0:12:54.000
<v Speaker 1>like you just go be a secretary now and we'll

0:12:54.000 --> 0:12:57.840
<v Speaker 1>take care of the business. But there's still it's still

0:12:57.840 --> 0:13:00.199
<v Speaker 1>there to a certain degree. I mean, there are more

0:13:00.240 --> 0:13:03.680
<v Speaker 1>women who work as secretaries and men um But I

0:13:03.760 --> 0:13:05.839
<v Speaker 1>just want to get back to that stat real quick.

0:13:05.880 --> 0:13:08.560
<v Speaker 1>When we were talking about the even when you compared

0:13:08.600 --> 0:13:10.719
<v Speaker 1>apples to apples, men still made more. I mean it's

0:13:10.800 --> 0:13:15.760
<v Speaker 1>it's like, you know, two to um five and thirty

0:13:15.800 --> 0:13:19.280
<v Speaker 1>four occupations tracked by the Bureau of Labor Statistics, and

0:13:19.480 --> 0:13:22.920
<v Speaker 1>seven out of the five thirty four paid women more

0:13:22.960 --> 0:13:27.679
<v Speaker 1>than men. Yeah, seven seven, Uh, and apparently the most lucrative.

0:13:27.679 --> 0:13:29.320
<v Speaker 1>If you're a woman, you want to make more than

0:13:29.320 --> 0:13:33.040
<v Speaker 1>a man, Uh, you should be a respiratory therapist, because

0:13:33.080 --> 0:13:36.160
<v Speaker 1>their salaries are six point four percent higher than men's

0:13:36.160 --> 0:13:39.520
<v Speaker 1>in their field. Should we take a break, yes, all right,

0:13:39.559 --> 0:14:01.760
<v Speaker 1>we'll be back with more staggering stats. So chuck, you said, um,

0:14:01.840 --> 0:14:04.520
<v Speaker 1>if you compare apples apples, it's a few percent. The

0:14:04.520 --> 0:14:07.640
<v Speaker 1>beer of Labor statistics. Um, they like to throw a

0:14:07.640 --> 0:14:10.800
<v Speaker 1>little wrench in the works. They surveyed like five hundred

0:14:10.840 --> 0:14:13.959
<v Speaker 1>and thirty four occupations, you said, um. And when they

0:14:14.000 --> 0:14:18.199
<v Speaker 1>do their statistics, they use weekly salaries rather than um

0:14:18.320 --> 0:14:20.880
<v Speaker 1>annual salaries, and they actually come up with a less

0:14:20.920 --> 0:14:23.480
<v Speaker 1>pay less of a pay gap. But one of the

0:14:23.520 --> 0:14:26.280
<v Speaker 1>things the internet has given us, one of the great things,

0:14:26.640 --> 0:14:29.880
<v Speaker 1>is crowdsourcing. And um, there are a lot of companies

0:14:29.920 --> 0:14:33.520
<v Speaker 1>that crewe data as almost like a byproduct or maybe

0:14:33.560 --> 0:14:36.000
<v Speaker 1>the real under the table product of what they're doing.

0:14:36.440 --> 0:14:39.040
<v Speaker 1>One of those companies is glass Door, where you can

0:14:39.080 --> 0:14:42.320
<v Speaker 1>go look for job listings but also rate your employer,

0:14:42.440 --> 0:14:48.000
<v Speaker 1>rate the company, and it's basically the masses UM reviewing employers.

0:14:48.120 --> 0:14:51.000
<v Speaker 1>You know, it's a pretty cool idea. UM and glass

0:14:51.040 --> 0:14:54.640
<v Speaker 1>Door did a study in two sixteens, just came out

0:14:54.680 --> 0:14:57.400
<v Speaker 1>this month as a matter of fact, and they surveyed

0:14:57.640 --> 0:15:01.240
<v Speaker 1>five hundred and five thousand employee The last few of

0:15:01.320 --> 0:15:04.440
<v Speaker 1>labor statistics thing I saw was like fifty people. This

0:15:04.520 --> 0:15:07.880
<v Speaker 1>is like half a million employees and their salary reports

0:15:08.200 --> 0:15:13.200
<v Speaker 1>and found that if you compared women who are equally

0:15:13.280 --> 0:15:18.440
<v Speaker 1>qualified in the same position at the same company as

0:15:18.480 --> 0:15:22.000
<v Speaker 1>a man, uh, they still made on average five percent

0:15:22.120 --> 0:15:26.520
<v Speaker 1>less and in among computer scientists, which I guess as

0:15:26.600 --> 0:15:30.200
<v Speaker 1>developers and stuff. Um, the pay gap was the worst

0:15:31.440 --> 0:15:34.280
<v Speaker 1>for a woman in the same position equally qualified at

0:15:34.280 --> 0:15:36.120
<v Speaker 1>the same company as a man. And this is like

0:15:36.320 --> 0:15:39.120
<v Speaker 1>brand new data that just came out. Well. One of

0:15:39.160 --> 0:15:42.920
<v Speaker 1>the reasons they say, um, this is ongoing is that, uh,

0:15:43.360 --> 0:15:45.640
<v Speaker 1>maybe women don't know that they're not making as much

0:15:45.680 --> 0:15:49.320
<v Speaker 1>as their male counterparts because we still are in a

0:15:50.280 --> 0:15:53.280
<v Speaker 1>I guess society, or at least a work environment most

0:15:53.320 --> 0:15:56.760
<v Speaker 1>times where you're not only not encouraged to talk about

0:15:56.760 --> 0:16:00.240
<v Speaker 1>your pay, but some companies like prohibited. Yeah, you can't

0:16:00.240 --> 0:16:03.120
<v Speaker 1>talk about your pay your fellow employees, right, And I mean,

0:16:03.240 --> 0:16:06.520
<v Speaker 1>I guess, as draconian as it is, you can kind

0:16:06.520 --> 0:16:09.160
<v Speaker 1>of understand where the company is coming from because they

0:16:09.160 --> 0:16:12.040
<v Speaker 1>want to get away paying their workforce as little as possible,

0:16:12.480 --> 0:16:15.600
<v Speaker 1>so they don't want their workforce comparing salaries and realizing

0:16:15.640 --> 0:16:19.520
<v Speaker 1>that people are being paid substantially different stuff. Right. Still,

0:16:19.840 --> 0:16:23.520
<v Speaker 1>it's mean to to say, like, no, you can't talk

0:16:23.560 --> 0:16:27.240
<v Speaker 1>about your salary that we pay you to this other person.

0:16:27.280 --> 0:16:29.560
<v Speaker 1>Be quiet, you know. And there's been a lot of

0:16:29.600 --> 0:16:32.080
<v Speaker 1>reform that we'll talk about it as far as that's concerned.

0:16:32.080 --> 0:16:35.000
<v Speaker 1>But that's a big thing is there appears to be

0:16:35.200 --> 0:16:38.120
<v Speaker 1>among a lot of women this idea and I'm sure

0:16:38.160 --> 0:16:40.240
<v Speaker 1>a lot of men too don't realize this as well,

0:16:40.640 --> 0:16:45.080
<v Speaker 1>that there there is a gender paid disparity. And part

0:16:45.080 --> 0:16:48.520
<v Speaker 1>of the reason why is because of a lack of transparency. Yeah. Um,

0:16:48.560 --> 0:16:52.040
<v Speaker 1>last year, um, last May, those woman named Lauren voss

0:16:52.040 --> 0:16:55.320
<v Speaker 1>Winkle got on Twitter and said, here's a new hashtag,

0:16:55.800 --> 0:16:59.200
<v Speaker 1>um talk pay t a l k P A y

0:16:59.560 --> 0:17:02.400
<v Speaker 1>and said eat out your job titles, how experienced you are,

0:17:03.200 --> 0:17:05.879
<v Speaker 1>where you've been in life, and what your salary is. Uh.

0:17:05.920 --> 0:17:08.520
<v Speaker 1>And then at talk pay ann came out, which is

0:17:08.560 --> 0:17:13.680
<v Speaker 1>a probably smarter way. It's it's anonymous UM and about Well,

0:17:13.720 --> 0:17:16.600
<v Speaker 1>there were a lot of tweets, but most of them were,

0:17:16.720 --> 0:17:19.600
<v Speaker 1>of course, people just you know, complaining, and I'm sure

0:17:19.600 --> 0:17:21.960
<v Speaker 1>there were plenty of rolls too, but just you know,

0:17:22.000 --> 0:17:26.000
<v Speaker 1>complaining about the situation, which is fine. But about actually

0:17:26.000 --> 0:17:29.760
<v Speaker 1>tweeted their actual salary. UH. And a lot of people say,

0:17:29.800 --> 0:17:31.320
<v Speaker 1>this is kind of one of the first steps is

0:17:31.359 --> 0:17:34.560
<v Speaker 1>at least getting the information out there. UH. So a

0:17:34.560 --> 0:17:37.000
<v Speaker 1>woman might say, wait a minute, you make four thousand

0:17:37.080 --> 0:17:40.440
<v Speaker 1>dollars more than me for no reason at all. And

0:17:40.680 --> 0:17:43.600
<v Speaker 1>there are websites to um where you can compare things.

0:17:43.600 --> 0:17:48.840
<v Speaker 1>There's one called uh pay scale and one called comparably.

0:17:49.840 --> 0:17:55.520
<v Speaker 1>It's a little awkward title. It's beautiful. It makes sense.

0:17:56.400 --> 0:17:59.800
<v Speaker 1>I believe you mentioned some of the things that are doing. Uh,

0:17:59.840 --> 0:18:03.800
<v Speaker 1>the the government is doing um. President Obama signed an

0:18:03.800 --> 0:18:07.080
<v Speaker 1>executive order in two thousand fourteen, so that's when, as

0:18:07.119 --> 0:18:12.080
<v Speaker 1>you stay the union address must have come UM. He

0:18:12.200 --> 0:18:16.600
<v Speaker 1>barred federal contractors from punishing an employee for comparing their salary,

0:18:17.600 --> 0:18:22.520
<v Speaker 1>and a memorandum on those same contractors to submit data

0:18:22.600 --> 0:18:26.439
<v Speaker 1>compensation data if there was any to see if there

0:18:26.480 --> 0:18:28.800
<v Speaker 1>was any wage discrimination going on. Right, So, if you

0:18:28.840 --> 0:18:31.240
<v Speaker 1>worked at a company that was a government contractor and

0:18:31.240 --> 0:18:34.399
<v Speaker 1>you're a woman who suddenly got an unexpected raise and pay,

0:18:34.480 --> 0:18:36.440
<v Speaker 1>you may have had something to do with that maybe.

0:18:36.520 --> 0:18:41.159
<v Speaker 1>So UM. California actually also is leaning the way on this.

0:18:41.280 --> 0:18:44.480
<v Speaker 1>They uh, what is his name, Jerry Brown, the governor

0:18:44.680 --> 0:18:49.360
<v Speaker 1>the second time around UM he signed into law this

0:18:49.359 --> 0:18:53.800
<v Speaker 1>this UM Act that prevents companies from punishing employees for

0:18:53.840 --> 0:18:58.520
<v Speaker 1>talking about their pay, their salaries UM. And it mandates

0:18:59.040 --> 0:19:02.720
<v Speaker 1>at first man dated same pay for the same work,

0:19:03.119 --> 0:19:07.320
<v Speaker 1>which is actually the language in UM the Civil Rights Act.

0:19:07.440 --> 0:19:09.800
<v Speaker 1>Title seven of the Civil Rights Act says you have

0:19:09.840 --> 0:19:11.880
<v Speaker 1>to pay people the same pay for the same work,

0:19:12.119 --> 0:19:16.840
<v Speaker 1>regardless of their UM gender, of their UM race, of

0:19:16.920 --> 0:19:19.880
<v Speaker 1>their religion, any of that. They still have to get

0:19:19.880 --> 0:19:22.600
<v Speaker 1>the same pay. Uh. And women are protected by that

0:19:22.720 --> 0:19:26.720
<v Speaker 1>as well. But you know that was nineteen sixty three,

0:19:26.880 --> 0:19:32.520
<v Speaker 1>I think. And the specificity of the language same work

0:19:32.560 --> 0:19:36.520
<v Speaker 1>for same pay is it's it's so specific that it's

0:19:36.560 --> 0:19:38.440
<v Speaker 1>just easy to get around you just say, well, it's

0:19:38.440 --> 0:19:40.159
<v Speaker 1>not the same work. I'm not going to give these

0:19:40.160 --> 0:19:45.040
<v Speaker 1>people the same title or whatever. Um with the California

0:19:45.080 --> 0:19:47.320
<v Speaker 1>legislation kind of opened that and said you have the

0:19:47.359 --> 0:19:52.040
<v Speaker 1>same pay for the substantially same work, you know. Yeah,

0:19:52.080 --> 0:19:55.280
<v Speaker 1>and the Equal Pay Act of nineteen sixty three specifically

0:19:55.320 --> 0:19:58.679
<v Speaker 1>says employers may not pay unequal way just to men

0:19:58.720 --> 0:20:02.240
<v Speaker 1>and women who perform job that requires substantially equal skill,

0:20:02.320 --> 0:20:05.560
<v Speaker 1>effort and responsibility, and that are performed under similar working

0:20:05.560 --> 0:20:09.760
<v Speaker 1>to conditions within the same establishment. And then it goes

0:20:09.800 --> 0:20:14.040
<v Speaker 1>down to break down what is defined as skill effort, responsibilities,

0:20:14.520 --> 0:20:17.960
<v Speaker 1>working conditions, and establishment. So it definitely gets like way

0:20:17.960 --> 0:20:21.160
<v Speaker 1>more specific, which is good. And apparently the reason why

0:20:21.160 --> 0:20:23.720
<v Speaker 1>California is leading the way on this is because Silicon

0:20:23.840 --> 0:20:25.840
<v Speaker 1>Valley is one of the worst defenders out of all

0:20:25.880 --> 0:20:30.880
<v Speaker 1>of them. That's where that's California, that's sure. They also

0:20:30.920 --> 0:20:35.200
<v Speaker 1>signed a fifteen dollar minimum wage into law recently too. Yeah,

0:20:35.320 --> 0:20:38.240
<v Speaker 1>should we talk more about Lily lead Better, Yeah, because

0:20:38.280 --> 0:20:42.600
<v Speaker 1>I mean, if you want to talk uh wage equality law,

0:20:43.480 --> 0:20:47.280
<v Speaker 1>you've got to talk Lily lad Better. So she worked

0:20:47.320 --> 0:20:50.520
<v Speaker 1>for good Year Tire and over the years, I think

0:20:50.600 --> 0:20:53.600
<v Speaker 1>she worked there for nineteen years. She was given low

0:20:53.680 --> 0:20:57.679
<v Speaker 1>rankings and annual performance in salary reviews pretty consistently in

0:20:57.760 --> 0:21:02.199
<v Speaker 1>low raises compared to her fellow ployees. So she sued them,

0:21:02.280 --> 0:21:06.480
<v Speaker 1>and a jury initially said you win three point five

0:21:06.520 --> 0:21:09.520
<v Speaker 1>million dollars and then a district year was like, what,

0:21:09.720 --> 0:21:15.400
<v Speaker 1>we can't afford that, Uh, goodyear, I'm sorry. UM. District

0:21:15.520 --> 0:21:18.680
<v Speaker 1>judge later said, let's reduce that from three point five

0:21:18.720 --> 0:21:22.320
<v Speaker 1>million to three hundred and sixty thousand, and good year

0:21:22.400 --> 0:21:26.200
<v Speaker 1>was like still, well they did because they appealed UM.

0:21:26.280 --> 0:21:28.399
<v Speaker 1>Basically what they did was they cited a title a

0:21:28.480 --> 0:21:33.600
<v Speaker 1>Title seven provision. They said any discrimination complaint needs to

0:21:33.680 --> 0:21:37.600
<v Speaker 1>be made within a hundred eighty days of the of

0:21:37.680 --> 0:21:42.240
<v Speaker 1>the bad deed, basically of the conduct of yes of you.

0:21:42.400 --> 0:21:47.040
<v Speaker 1>They give you your first paycheck and it's discriminatory pay

0:21:47.200 --> 0:21:49.320
<v Speaker 1>then you have a hundred and eighty days. So this

0:21:49.400 --> 0:21:53.440
<v Speaker 1>lady worked for eighteen and a half years longer then

0:21:53.520 --> 0:21:58.119
<v Speaker 1>she could have submitted a Title seven complaint, which is

0:21:58.280 --> 0:22:02.160
<v Speaker 1>b s that's right. And they basically eventually said, well,

0:22:02.200 --> 0:22:05.400
<v Speaker 1>what you can do is you can only sue for

0:22:05.480 --> 0:22:10.760
<v Speaker 1>the last days worth of discriminatory conduct and then it

0:22:10.800 --> 0:22:13.080
<v Speaker 1>went to the Supreme Court of the United States and

0:22:13.160 --> 0:22:17.560
<v Speaker 1>she lost by five four vote. Uh, basically holding to

0:22:17.680 --> 0:22:22.080
<v Speaker 1>that claim that it was time sensitive. Yeah, it's just

0:22:22.800 --> 0:22:25.000
<v Speaker 1>I mean the idea that, like you get your first

0:22:25.000 --> 0:22:29.520
<v Speaker 1>paycheck and you just immediately go, well, this is discriminatory.

0:22:29.920 --> 0:22:32.720
<v Speaker 1>Even that stick. Right. This woman worked for nineteen years

0:22:32.720 --> 0:22:35.360
<v Speaker 1>without realizing it, and the reason why she finally did

0:22:35.400 --> 0:22:38.600
<v Speaker 1>come to understand it was because a coworker passed her

0:22:38.640 --> 0:22:43.040
<v Speaker 1>an anonymous note um telling her so at a retirement Basically,

0:22:43.440 --> 0:22:46.639
<v Speaker 1>so she had been played for a sap basically by

0:22:46.640 --> 0:22:48.840
<v Speaker 1>good year as far as the lower courts are concerned,

0:22:49.119 --> 0:22:53.399
<v Speaker 1>for nineteen years. But because nineteen years earlier, in nineteen

0:22:53.480 --> 0:22:56.720
<v Speaker 1>seventy nine, she didn't immediately recognize that she was getting

0:22:56.760 --> 0:23:00.639
<v Speaker 1>less pay. So, like you have to basically be inspector

0:23:00.680 --> 0:23:05.160
<v Speaker 1>Cluseau the first time you get paid to to get

0:23:05.200 --> 0:23:09.440
<v Speaker 1>a successful Title seven complaint cleared by the court. It's

0:23:09.480 --> 0:23:14.720
<v Speaker 1>just ridiculous. Uh. In descent, I love reading the Supreme Court,

0:23:14.800 --> 0:23:17.560
<v Speaker 1>like when they actually, you know, write why they find

0:23:17.560 --> 0:23:20.639
<v Speaker 1>it in favor or not. It's really interesting stuff. Uh.

0:23:20.720 --> 0:23:24.160
<v Speaker 1>Justice Ruth Bader Ginsberg in her descent called it out

0:23:24.200 --> 0:23:26.919
<v Speaker 1>of tune with the realities of wage discrimination and quote

0:23:27.240 --> 0:23:31.320
<v Speaker 1>a cramped interpretation of Title seven incompatible with the statutes

0:23:31.680 --> 0:23:35.120
<v Speaker 1>broad remedial purpose end quote. So basically, like the whole

0:23:35.160 --> 0:23:38.320
<v Speaker 1>purpose of this, like, you're just shirking the whole purpose

0:23:38.359 --> 0:23:40.200
<v Speaker 1>of the strant to begin with. Yeah, the purpose isn't

0:23:40.200 --> 0:23:44.160
<v Speaker 1>to protect corporations from lawsuits. It's so that you keep

0:23:44.200 --> 0:23:47.879
<v Speaker 1>employees from getting screwed over by their employers. So again

0:23:47.920 --> 0:23:50.879
<v Speaker 1>Obama came in with another thing signed into law of

0:23:50.880 --> 0:23:53.960
<v Speaker 1>the Lily Ledbetter Act, which said, we'll stick to the

0:23:54.040 --> 0:23:57.399
<v Speaker 1>hundred and eighty days thing. But that's from the last

0:23:57.520 --> 0:24:03.359
<v Speaker 1>discriminatory paycheck. So she could have found out at her retirement, um,

0:24:03.720 --> 0:24:06.480
<v Speaker 1>gotten her last paycheck and had six months to sue

0:24:06.560 --> 0:24:09.919
<v Speaker 1>for the whole shebang, her whole career basically, and probably

0:24:09.920 --> 0:24:12.720
<v Speaker 1>would have one had that law been an effect at

0:24:12.720 --> 0:24:15.360
<v Speaker 1>the time. All right, well, let's take another break and

0:24:15.480 --> 0:24:17.480
<v Speaker 1>um we'll talk a little bit more about this right

0:24:17.520 --> 0:24:39.479
<v Speaker 1>after this. All right, So, uh, what are the reasons

0:24:39.480 --> 0:24:43.960
<v Speaker 1>behind this? They're myriad, They're myriad, They're myriad, and um,

0:24:44.320 --> 0:24:48.960
<v Speaker 1>the thing is, critics of the gender pay gap say

0:24:49.400 --> 0:24:52.000
<v Speaker 1>this is not a discrimination, like employers are not saying

0:24:52.040 --> 0:24:55.000
<v Speaker 1>like you're a woman, I'm gonna just you know, treat

0:24:55.040 --> 0:24:58.080
<v Speaker 1>you poorly compared to your male counterparts. That doesn't happen.

0:24:58.320 --> 0:25:01.560
<v Speaker 1>It may happen, but it's not happening on a systemic scale.

0:25:01.880 --> 0:25:04.840
<v Speaker 1>But if you look at the explanations for this, and

0:25:05.000 --> 0:25:08.240
<v Speaker 1>economists have investigated this and thought long and hard about

0:25:08.240 --> 0:25:11.440
<v Speaker 1>it and argued over it and really drilled down into

0:25:11.440 --> 0:25:14.919
<v Speaker 1>it rather than stop talking about it, right, um, it

0:25:15.000 --> 0:25:19.920
<v Speaker 1>would be what's still going on is still ultimately gender discrimination.

0:25:20.280 --> 0:25:24.560
<v Speaker 1>It's just not this nefarious handlebar mustache version of it

0:25:24.840 --> 0:25:28.040
<v Speaker 1>that people look for because everyone wants a smoking gun

0:25:28.160 --> 0:25:30.439
<v Speaker 1>or a gotcha moment, you know what I mean. But

0:25:30.560 --> 0:25:33.199
<v Speaker 1>when you look at the explanations and the reasons behind

0:25:33.960 --> 0:25:38.119
<v Speaker 1>purportedly the gender discrimination gap or the gender pay gap,

0:25:38.359 --> 0:25:41.720
<v Speaker 1>it is still discrimination based on gender most likely and

0:25:41.960 --> 0:25:45.359
<v Speaker 1>race too. Like we we shouldn't. We don't mean to

0:25:45.440 --> 0:25:48.720
<v Speaker 1>undermine that or diminish that at all, Like it's even

0:25:48.760 --> 0:25:53.840
<v Speaker 1>worse based on race. You know. Um, there was a

0:25:54.000 --> 0:25:58.639
<v Speaker 1>Freakonomics podcast episode. Mr Dubner did a great episode in

0:25:58.760 --> 0:26:01.960
<v Speaker 1>January of this year, um that I listened to and

0:26:02.000 --> 0:26:04.399
<v Speaker 1>he got um and you know, fre economics. It seems

0:26:04.440 --> 0:26:06.640
<v Speaker 1>like they kind of get to the real reasons behind things.

0:26:07.480 --> 0:26:09.840
<v Speaker 1>This was called the True Story of the Gender Pay

0:26:09.840 --> 0:26:12.240
<v Speaker 1>Gap UH, and he sat down with a few people.

0:26:12.240 --> 0:26:15.040
<v Speaker 1>One of them was Claudia Golden. She's a econ professor

0:26:15.080 --> 0:26:17.960
<v Speaker 1>at Harvard. So the long and short of it is,

0:26:18.000 --> 0:26:22.480
<v Speaker 1>after reading UH and listening to this, was that Claudia

0:26:22.520 --> 0:26:26.679
<v Speaker 1>Golden and others economists have tried to compare apples to

0:26:26.680 --> 0:26:31.119
<v Speaker 1>apples more and found that there are many, many reasons

0:26:31.160 --> 0:26:35.520
<v Speaker 1>why there is a pay gap um, but they can't

0:26:35.760 --> 0:26:39.480
<v Speaker 1>prove that discrimination is the leading cause, and they think

0:26:39.480 --> 0:26:43.240
<v Speaker 1>that it's probably one of the minor causes. Well, yeah,

0:26:43.240 --> 0:26:45.879
<v Speaker 1>it's most likely not a major cause at all. Like

0:26:45.920 --> 0:26:53.439
<v Speaker 1>when you look at that that mind boggling gap ratio um,

0:26:53.520 --> 0:26:57.320
<v Speaker 1>when you start comparing apples to apples, most of it vanishes,

0:26:58.280 --> 0:27:02.800
<v Speaker 1>but there is a mysterious three four five that can't

0:27:02.800 --> 0:27:06.960
<v Speaker 1>be accounted for by things like experience or educational background

0:27:07.520 --> 0:27:11.320
<v Speaker 1>or what have you. Well, yeah, and that's three. I

0:27:11.320 --> 0:27:14.240
<v Speaker 1>mean that's too much, you know, any percent is too much.

0:27:14.320 --> 0:27:16.880
<v Speaker 1>Like if there is, if if there is gender discrimination,

0:27:16.920 --> 0:27:24.600
<v Speaker 1>going zero exactly, Thank you, you just said it so succinctly. Um. So,

0:27:24.640 --> 0:27:27.679
<v Speaker 1>one of the theories that people say, um, is that

0:27:28.119 --> 0:27:31.679
<v Speaker 1>men are better at bargaining for their salary and asking

0:27:31.680 --> 0:27:34.720
<v Speaker 1>for raises and getting tough in that room and demanding

0:27:34.720 --> 0:27:38.440
<v Speaker 1>the raise and valuing their work more. In valuing their work. Um.

0:27:38.480 --> 0:27:40.879
<v Speaker 1>And there may be some truth to that. But um.

0:27:40.920 --> 0:27:44.639
<v Speaker 1>This economist from Harvard says, well, if that were true,

0:27:44.720 --> 0:27:47.480
<v Speaker 1>then you would be able to look at men and

0:27:47.520 --> 0:27:50.520
<v Speaker 1>women right out of college with the same degree getting

0:27:50.520 --> 0:27:53.800
<v Speaker 1>the same job. The men should be making more money.

0:27:53.840 --> 0:27:56.119
<v Speaker 1>And she said when you look at that, they actually

0:27:56.160 --> 0:27:59.880
<v Speaker 1>make almost the same thing. Right. The gender pay gap

0:28:00.080 --> 0:28:04.240
<v Speaker 1>is less earlier on in the career. Right. But even

0:28:04.280 --> 0:28:07.920
<v Speaker 1>if there is that small bit right there at the beginning,

0:28:08.320 --> 0:28:11.359
<v Speaker 1>if you start out lower, your raises over time and

0:28:11.359 --> 0:28:14.600
<v Speaker 1>your promotions over time are gonna be lower. Two. And

0:28:14.680 --> 0:28:18.080
<v Speaker 1>that can actually accrue and make the gap wider by

0:28:18.119 --> 0:28:20.720
<v Speaker 1>the end of the career, which is what you see, right. Yeah,

0:28:20.760 --> 0:28:23.560
<v Speaker 1>And what she contends. And this other woman and Marie

0:28:23.560 --> 0:28:26.199
<v Speaker 1>Slaughter who is a public policy scholar who wrote a

0:28:26.200 --> 0:28:30.280
<v Speaker 1>book called Unfinished Business, and Mr Dubner sat down with

0:28:30.320 --> 0:28:33.320
<v Speaker 1>her too, and they kind of peg it down to

0:28:33.440 --> 0:28:37.240
<v Speaker 1>it seems like two things. Um. And Mary Slaughter calls

0:28:37.320 --> 0:28:40.080
<v Speaker 1>one of them the care penalty. Um. And it's not

0:28:40.160 --> 0:28:42.280
<v Speaker 1>just having a baby and staying home with a baby.

0:28:42.360 --> 0:28:45.400
<v Speaker 1>It's women are more likely to care for their parents

0:28:45.400 --> 0:28:48.760
<v Speaker 1>when they get old. Um. Of a sibling that needs help,

0:28:49.240 --> 0:28:51.160
<v Speaker 1>like you know, they they have cancer and they need

0:28:51.200 --> 0:28:52.720
<v Speaker 1>to come live with you. And I need to take

0:28:52.720 --> 0:28:55.160
<v Speaker 1>time on work to care for my brother's sister, and

0:28:55.280 --> 0:28:59.560
<v Speaker 1>especially children when when you have kids. Um, there is

0:29:00.320 --> 0:29:03.560
<v Speaker 1>most assuredly a care penalty because they found that men

0:29:03.600 --> 0:29:07.360
<v Speaker 1>sometimes work even harder after they have a baby. Right,

0:29:07.400 --> 0:29:10.080
<v Speaker 1>they're staying away from home, maybe staying away from home,

0:29:10.160 --> 0:29:11.680
<v Speaker 1>or maybe it hits them like I need to work

0:29:11.680 --> 0:29:14.840
<v Speaker 1>harder to make more money now, whereas women falls to

0:29:14.960 --> 0:29:18.440
<v Speaker 1>more like you know, I want to care for this child. So, UM,

0:29:18.480 --> 0:29:22.880
<v Speaker 1>I'm gonna select a job that will pay less because

0:29:22.920 --> 0:29:26.480
<v Speaker 1>it's either part time or it offers more flexibility. Um.

0:29:26.520 --> 0:29:29.320
<v Speaker 1>And then I saw another interview with um Golden right

0:29:29.720 --> 0:29:33.280
<v Speaker 1>is their name? Um, and she pointed out that, uh,

0:29:33.360 --> 0:29:38.000
<v Speaker 1>if women are if women are more likely to get

0:29:38.000 --> 0:29:41.680
<v Speaker 1>a job that's closer to home that's more fulfilling, say

0:29:41.800 --> 0:29:44.640
<v Speaker 1>than um, something a man is looking for, then there's

0:29:44.640 --> 0:29:48.080
<v Speaker 1>going to be more competition for those jobs, which is

0:29:48.080 --> 0:29:52.000
<v Speaker 1>going to drive wages down just from supply and demand theory. Yeah,

0:29:52.040 --> 0:29:57.080
<v Speaker 1>she calls it temporal flexibility women. Men tend to favor

0:29:57.760 --> 0:30:02.120
<v Speaker 1>income growth way more than women do, whereas women tend

0:30:02.160 --> 0:30:04.760
<v Speaker 1>to favorite temporal flexibility more. I want to be near

0:30:04.800 --> 0:30:07.080
<v Speaker 1>the house so I'm not stuck in my car, so

0:30:07.120 --> 0:30:09.080
<v Speaker 1>I can be around my family more, so I can

0:30:09.120 --> 0:30:14.240
<v Speaker 1>be you know, a better member, a better family member

0:30:14.280 --> 0:30:18.160
<v Speaker 1>basically overall, which is you know, it seems like men

0:30:18.240 --> 0:30:20.280
<v Speaker 1>don't care as much about that, right and and I

0:30:20.320 --> 0:30:24.640
<v Speaker 1>mean the most overt example of this is childcare, where

0:30:25.040 --> 0:30:30.160
<v Speaker 1>especially in the US, um you're lucky to get X

0:30:30.280 --> 0:30:33.600
<v Speaker 1>number of days off as a father, as a as

0:30:33.640 --> 0:30:38.160
<v Speaker 1>a woman, you're you're you get a guaranteed three months off,

0:30:38.200 --> 0:30:43.480
<v Speaker 1>twelve weeks off by federal law. Men there's no guarantee whatsoever,

0:30:44.000 --> 0:30:47.600
<v Speaker 1>so you may get zero off. And that reflects this again,

0:30:47.640 --> 0:30:50.640
<v Speaker 1>this gender bias, if not outright gender discrimination, that does

0:30:50.680 --> 0:30:53.440
<v Speaker 1>tend to set some women back because even if they're

0:30:53.520 --> 0:30:56.320
<v Speaker 1>just out for three months or something, they're they're missing

0:30:56.360 --> 0:30:59.320
<v Speaker 1>out of the flow of their career. And there you

0:30:59.440 --> 0:31:01.800
<v Speaker 1>couldn't go on work trip, so we're gonna send uh,

0:31:01.840 --> 0:31:05.719
<v Speaker 1>you know exactly, So they're missing out on future promotions,

0:31:05.880 --> 0:31:09.440
<v Speaker 1>future raises UM and future experience and all of those

0:31:09.440 --> 0:31:16.240
<v Speaker 1>things count for future um income wages. Yeah, and I

0:31:16.280 --> 0:31:19.000
<v Speaker 1>want to rephrase what I just said that men don't

0:31:19.040 --> 0:31:21.959
<v Speaker 1>care as much about being a good family member. What

0:31:22.000 --> 0:31:24.400
<v Speaker 1>I meant to say is men might have a different

0:31:24.440 --> 0:31:28.360
<v Speaker 1>outlook on what is being a better family member, and

0:31:28.400 --> 0:31:30.760
<v Speaker 1>in that case, it's going out and working harder to

0:31:30.760 --> 0:31:33.160
<v Speaker 1>make more money. Oh yeah, does that make sense? Sure?

0:31:33.840 --> 0:31:35.480
<v Speaker 1>Because I get roughed up for being too hard on

0:31:35.480 --> 0:31:39.720
<v Speaker 1>white men, right, I do. We get emails all the time, Chuck,

0:31:39.760 --> 0:31:41.240
<v Speaker 1>why do you hate white men? I don't know. I

0:31:41.240 --> 0:31:43.400
<v Speaker 1>don't hate what I'm I am a white man, and

0:31:43.440 --> 0:31:46.200
<v Speaker 1>it's not self loathing. No. I love myself and I

0:31:46.240 --> 0:31:49.360
<v Speaker 1>love you, thanks man. Uh. And it's just kind of

0:31:49.360 --> 0:31:52.880
<v Speaker 1>warm in here. So temporal flexibility is one of the

0:31:52.880 --> 0:31:58.400
<v Speaker 1>big things. And um and actually Golden says that if

0:31:58.440 --> 0:32:03.200
<v Speaker 1>women were allowed to work flexible hours of their choosing,

0:32:03.760 --> 0:32:07.800
<v Speaker 1>then the she believes that the the gender pay gap

0:32:07.920 --> 0:32:11.720
<v Speaker 1>might actually vanish right well, and um a Marie Slaughter said,

0:32:11.720 --> 0:32:13.640
<v Speaker 1>if you if you take the other big one is

0:32:13.680 --> 0:32:16.200
<v Speaker 1>the care penalty. If you take that off the table

0:32:16.640 --> 0:32:20.040
<v Speaker 1>and you don't have any caregiving obligations at all. Uh,

0:32:20.040 --> 0:32:25.000
<v Speaker 1>it climbs to about but there's still that five right,

0:32:25.120 --> 0:32:27.480
<v Speaker 1>you know, Like, where is that coming from? I think

0:32:27.560 --> 0:32:30.320
<v Speaker 1>that's it. I think it's got to be discrimination. I

0:32:30.320 --> 0:32:32.560
<v Speaker 1>can't remember her name, but I was reading an interview

0:32:32.600 --> 0:32:36.400
<v Speaker 1>in the Atlantic with a Cornell economist who studies this,

0:32:37.000 --> 0:32:40.240
<v Speaker 1>and she was saying, um, that if you look at Europe,

0:32:40.520 --> 0:32:45.680
<v Speaker 1>there they're much more um even they're equal with their

0:32:45.920 --> 0:32:50.640
<v Speaker 1>um their paternity leaving their maternity to leave actually and um,

0:32:51.520 --> 0:32:55.040
<v Speaker 1>I don't know that it's it's old enough to have

0:32:55.280 --> 0:32:59.280
<v Speaker 1>like had a demonstrable effect. But um, I wonder if

0:32:59.320 --> 0:33:02.160
<v Speaker 1>if having something like that here in the US, where

0:33:02.400 --> 0:33:05.280
<v Speaker 1>I don't remember the country she cited some skin and

0:33:05.360 --> 0:33:10.240
<v Speaker 1>even country obviously. UM. But the the men are given

0:33:10.320 --> 0:33:13.240
<v Speaker 1>like a family is given an a lotted amount of

0:33:13.720 --> 0:33:18.160
<v Speaker 1>paternity or maternity time, and X amount of it has

0:33:18.200 --> 0:33:21.000
<v Speaker 1>to be paternity, and the dad can either use it

0:33:21.080 --> 0:33:24.200
<v Speaker 1>or not, but the mom can't take that on. So

0:33:24.240 --> 0:33:26.400
<v Speaker 1>it's kind of like you're gonna spend some time with

0:33:26.480 --> 0:33:29.400
<v Speaker 1>your kids or not. But to you, um, and so

0:33:29.440 --> 0:33:32.800
<v Speaker 1>there's a lot more guys taking that than there was before,

0:33:32.960 --> 0:33:36.280
<v Speaker 1>and so there's a lot more equality and caregiving. Which

0:33:36.480 --> 0:33:39.040
<v Speaker 1>if it's gonna be, you know which ways America is

0:33:39.040 --> 0:33:42.320
<v Speaker 1>gonna go. Is it gonna be women need to spend

0:33:42.400 --> 0:33:44.800
<v Speaker 1>less time at home and get into the workforce more

0:33:44.880 --> 0:33:47.280
<v Speaker 1>or men need to spend more time at home caring

0:33:47.280 --> 0:33:49.680
<v Speaker 1>for the kids and make the whole thing more of

0:33:49.720 --> 0:33:52.400
<v Speaker 1>an equal thing, you know, and then maybe that will

0:33:52.440 --> 0:33:56.080
<v Speaker 1>erase some of the pay gap for sure. They m

0:33:56.920 --> 0:33:59.120
<v Speaker 1>in the same fre Economics episode. They kind of close

0:33:59.200 --> 0:34:02.840
<v Speaker 1>with asking Ms Golden what her like, what kind of

0:34:02.920 --> 0:34:06.320
<v Speaker 1>legislation would like, how can you fix this? Like more laws,

0:34:06.360 --> 0:34:08.239
<v Speaker 1>more laws, And she had a pretty good idea. She

0:34:08.320 --> 0:34:10.799
<v Speaker 1>was like, you need to start at like the school level,

0:34:11.320 --> 0:34:13.560
<v Speaker 1>because you send your kids off to school, and what

0:34:13.640 --> 0:34:16.000
<v Speaker 1>happens is they get out at two or three o'clock

0:34:16.760 --> 0:34:19.200
<v Speaker 1>and unless you have you know, I want your kid

0:34:19.239 --> 0:34:21.480
<v Speaker 1>to be a latch key kid, someone's gonna need to

0:34:21.480 --> 0:34:24.000
<v Speaker 1>be home with them. Uh. And then there are a

0:34:24.000 --> 0:34:26.120
<v Speaker 1>lot of times out, like for a couple of months

0:34:26.160 --> 0:34:28.759
<v Speaker 1>during the summer, so someone needs to be there. Then,

0:34:29.280 --> 0:34:33.520
<v Speaker 1>so she argues for lengthenings, extending school days in school,

0:34:33.880 --> 0:34:38.279
<v Speaker 1>the school year such that it doesn't require that one

0:34:38.280 --> 0:34:41.080
<v Speaker 1>of the family members to have to like take off

0:34:41.080 --> 0:34:43.480
<v Speaker 1>work or take a part time job, yeah, instead of

0:34:43.480 --> 0:34:45.360
<v Speaker 1>a full time job. Well, I remember when I was

0:34:45.400 --> 0:34:48.239
<v Speaker 1>a little kid, my mom was home and until I

0:34:48.400 --> 0:34:52.600
<v Speaker 1>entered I guess kindergarten. Yeah, my mom quit teaching to

0:34:52.719 --> 0:34:55.000
<v Speaker 1>raise all three of her kids up until I was

0:34:55.080 --> 0:34:57.239
<v Speaker 1>like fifteen, and then she went back to work as

0:34:57.239 --> 0:35:00.000
<v Speaker 1>a and then so I mean, how much further back

0:35:00.120 --> 0:35:04.240
<v Speaker 1>can her in their careers where our moms staying home hugely,

0:35:04.360 --> 0:35:08.719
<v Speaker 1>You should not be penalized for raising two stellar sons. Yeah,

0:35:08.760 --> 0:35:11.239
<v Speaker 1>and I have to say in a stellar daughter, Um,

0:35:12.640 --> 0:35:15.360
<v Speaker 1>it's kind of personal. But like my parents got divorced,

0:35:15.840 --> 0:35:19.400
<v Speaker 1>and so divorce proceedings can get ugly, and a woman

0:35:19.480 --> 0:35:23.880
<v Speaker 1>in a divorce court says, well, I took off uh

0:35:23.920 --> 0:35:26.640
<v Speaker 1>like eighteen years to raise my children, and now I'm

0:35:26.680 --> 0:35:29.799
<v Speaker 1>going back to school at a much lower wage than

0:35:29.840 --> 0:35:32.680
<v Speaker 1>I would have because like that needs to be valued.

0:35:33.239 --> 0:35:37.400
<v Speaker 1>And uh, it's tough, man, you know it is. It

0:35:37.520 --> 0:35:40.640
<v Speaker 1>is tough. Like we said, if there's any percentage it's

0:35:40.680 --> 0:35:47.239
<v Speaker 1>based on gender discrimination or race discrimination, that's too much. Agreed. Uh, Yeah,

0:35:47.239 --> 0:35:49.920
<v Speaker 1>I don't know what to do what the answer is.

0:35:50.080 --> 0:35:52.279
<v Speaker 1>And I guess the reason why we can't say here's

0:35:52.320 --> 0:35:55.399
<v Speaker 1>the answer because we don't fully understand which of these

0:35:55.400 --> 0:35:57.800
<v Speaker 1>factors it is or what combination. You know, yet, we

0:35:57.840 --> 0:35:59.880
<v Speaker 1>should just go sit down with all our fellow podcasts

0:35:59.880 --> 0:36:01.520
<v Speaker 1>are and talk about what we all make right. We

0:36:01.640 --> 0:36:04.479
<v Speaker 1>should um, there's something else I know as to chuck

0:36:04.800 --> 0:36:08.920
<v Speaker 1>um if we keep going at the same rate. So

0:36:08.960 --> 0:36:11.759
<v Speaker 1>there's actually a huge jump from nineteen eight and nine

0:36:14.080 --> 0:36:16.400
<v Speaker 1>of the pay gap that had been there before vanished,

0:36:17.000 --> 0:36:19.240
<v Speaker 1>And it was because women that had entered the workforce

0:36:19.239 --> 0:36:22.040
<v Speaker 1>starting in the sixties gained the kind of experience to

0:36:22.080 --> 0:36:25.880
<v Speaker 1>where like their wages were reflecting those of men. That

0:36:26.000 --> 0:36:28.600
<v Speaker 1>was that's one theory behind it. But then after that

0:36:28.680 --> 0:36:31.840
<v Speaker 1>it's stagnated. It's been stagnant pretty much the last decade

0:36:31.920 --> 0:36:34.879
<v Speaker 1>or so UM and apparently at the pace that it's

0:36:34.920 --> 0:36:41.040
<v Speaker 1>going now is when um parody for white women will

0:36:41.080 --> 0:36:43.839
<v Speaker 1>be reached. It's very frequently called like women won't reach

0:36:43.960 --> 0:36:48.879
<v Speaker 1>gender or gender parody until that's white women. If you

0:36:49.000 --> 0:36:52.680
<v Speaker 1>are African American, it would be sometime towards the end

0:36:52.680 --> 0:36:55.560
<v Speaker 1>of the next next century for an African American woman

0:36:55.600 --> 0:36:59.319
<v Speaker 1>to reach parody with white men, and around the world

0:36:59.400 --> 0:37:02.719
<v Speaker 1>this is an issue as well. Apparently women around the

0:37:02.760 --> 0:37:07.240
<v Speaker 1>world make on average half of what men do around

0:37:07.280 --> 0:37:14.040
<v Speaker 1>the world half half Eddie, Yeah, half, and so the

0:37:14.120 --> 0:37:18.799
<v Speaker 1>average woman in the world by three um would eat

0:37:18.840 --> 0:37:22.440
<v Speaker 1>would reach pay parody. Uh. Well, I have one final

0:37:22.480 --> 0:37:24.480
<v Speaker 1>stat here, just depending on what state you live in,

0:37:24.760 --> 0:37:28.760
<v Speaker 1>it's gonna make a big difference. Washington, d C leads

0:37:28.800 --> 0:37:34.640
<v Speaker 1>the way as far as the smallest gender pay gap. Um,

0:37:34.680 --> 0:37:42.640
<v Speaker 1>they're earnings ratio. Women are at of men. Okay, Georgia.

0:37:42.680 --> 0:37:48.399
<v Speaker 1>Our own state of Georgia is on the list, and

0:37:48.520 --> 0:37:52.319
<v Speaker 1>if you are a woman living in Louisiana, you have

0:37:52.400 --> 0:37:55.160
<v Speaker 1>the distinction of living in the worst state in the

0:37:55.239 --> 0:38:01.719
<v Speaker 1>United States at the scant earnings ratio. Wow, pretty low

0:38:01.960 --> 0:38:07.399
<v Speaker 1>SOT pay gap there. Uh and huge thanks to uh

0:38:07.600 --> 0:38:10.440
<v Speaker 1>for I was able to lean on that fre Economics

0:38:10.440 --> 0:38:14.040
<v Speaker 1>episode so heavily. To Stephen Dubna, that was a really

0:38:14.040 --> 0:38:16.720
<v Speaker 1>good episode. Yeah, that was nice of him to send

0:38:16.760 --> 0:38:23.200
<v Speaker 1>you a gold thumb drive with it. That was very nice, guys, Stubbs. Yeah.

0:38:23.000 --> 0:38:26.160
<v Speaker 1>Uh Well, if you want to learn more about this

0:38:26.280 --> 0:38:29.239
<v Speaker 1>kind of stuff, you know, gender pay gaps and pay

0:38:29.320 --> 0:38:33.680
<v Speaker 1>disparity and wages, that kind of thing that tickles economists fancies.

0:38:33.920 --> 0:38:36.080
<v Speaker 1>You can type those words into the search bar at

0:38:36.080 --> 0:38:38.359
<v Speaker 1>how staff works dot com. Since I said search parts

0:38:38.400 --> 0:38:43.319
<v Speaker 1>time for listener. Now, I think it was a little

0:38:43.320 --> 0:38:47.319
<v Speaker 1>clumsy in that one, So apologies to people what I

0:38:47.400 --> 0:38:48.680
<v Speaker 1>just felt that was a little clumsy in that if

0:38:48.680 --> 0:38:51.520
<v Speaker 1>that's how I felt in the Tornadoes episode. Really, there

0:38:51.560 --> 0:38:53.280
<v Speaker 1>was a lot of points I wanted to get across

0:38:53.520 --> 0:38:56.000
<v Speaker 1>the right way, and that's usually when I find myself

0:38:56.560 --> 0:38:59.840
<v Speaker 1>saying things exactly the wrong way. Well, you corrected yourself

0:38:59.840 --> 0:39:02.920
<v Speaker 1>on that one thing, right, Well I tried. Um, all right,

0:39:02.960 --> 0:39:07.759
<v Speaker 1>I'm gonna call this, uh nostalgia immediate nostalgia. Oh yeah,

0:39:08.160 --> 0:39:11.960
<v Speaker 1>from Jason Tardy. O. Wait, hey, guys, I was recently

0:39:12.000 --> 0:39:14.759
<v Speaker 1>listening to The Nostalgia Show while going on a trail run.

0:39:15.440 --> 0:39:17.239
<v Speaker 1>I didn't get a chance to finish it, and later

0:39:17.600 --> 0:39:19.760
<v Speaker 1>I went to listen to the podcast again. I started

0:39:19.800 --> 0:39:22.640
<v Speaker 1>over from the beginning and I skipped ahead to find

0:39:22.640 --> 0:39:24.680
<v Speaker 1>where I left off, and I was hit with instant

0:39:24.760 --> 0:39:28.319
<v Speaker 1>nostalgia of that trail run. Certain phrases I heard you

0:39:28.360 --> 0:39:30.640
<v Speaker 1>say during my run, We're tied with images of the

0:39:30.640 --> 0:39:33.080
<v Speaker 1>beautiful trail every time I skipped ahead, I saw a

0:39:33.080 --> 0:39:36.000
<v Speaker 1>different image and could remember exactly where I was when

0:39:36.040 --> 0:39:38.239
<v Speaker 1>I had previously heard you say that phrase had brought

0:39:38.280 --> 0:39:41.160
<v Speaker 1>up warm feelings of happiness of the trail while listening

0:39:41.160 --> 0:39:46.560
<v Speaker 1>to you, guys, I don't know if that's nostalgia. Thanks

0:39:46.560 --> 0:39:48.239
<v Speaker 1>for everything you do. I wish you all the best.

0:39:48.239 --> 0:39:50.920
<v Speaker 1>You've been a great distraction while training for my marathon,

0:39:51.000 --> 0:39:53.720
<v Speaker 1>driving long hours on the road as a performance artist,

0:39:53.760 --> 0:39:56.880
<v Speaker 1>in keeping me sane during the craziness of having my

0:39:56.960 --> 0:39:59.520
<v Speaker 1>wife go through breast cancer while still keeping the house

0:39:59.520 --> 0:40:03.319
<v Speaker 1>clean with two kids. So, Jason Tardy of Auburn, Maine,

0:40:03.320 --> 0:40:05.840
<v Speaker 1>hats off to you, sir, and best of luck to

0:40:05.960 --> 0:40:09.959
<v Speaker 1>your wife and good luck hearing for those kids. Yeah,

0:40:10.000 --> 0:40:15.720
<v Speaker 1>best wishes, guys. Yeah, we will instantly nostalgize you whenever

0:40:15.760 --> 0:40:20.359
<v Speaker 1>you want nice. If you want to get in touch

0:40:20.400 --> 0:40:22.680
<v Speaker 1>with us, like Jason did, you can tweet to us

0:40:22.719 --> 0:40:25.319
<v Speaker 1>at s Y s K podcast. You can join us

0:40:25.360 --> 0:40:27.719
<v Speaker 1>on Facebook dot com, slash stuff you Should Know. You

0:40:27.719 --> 0:40:29.960
<v Speaker 1>can send us an email to stuff Podcasts at how

0:40:30.000 --> 0:40:32.359
<v Speaker 1>Stuff Works dot com and has always joined us at

0:40:32.400 --> 0:40:39.719
<v Speaker 1>home on the web Stuff you Should Know dot com

0:40:39.760 --> 0:40:42.200
<v Speaker 1>for more on this and thousands of other topics. Is

0:40:42.200 --> 0:40:50.600
<v Speaker 1>it how stuff works? Dot com