Speaker 0 00:00:03 Huh.
Speaker 1 00:00:04 Hi and welcome to does this make me look old, a podcast about aging as gracefully as possible when you're just not ready for two 40 something year old friends will find themselves kind of straddling that really odd period of time when aging and everything that is associated with is starting to become a much bigger part of our lives. We're definitely curious, but at the same time, rather terrified about aging. I'm Schiff. I'm a health science nerd and pop culture themes, and I'm sin and adult and waiting obsessed with finance and self-help books. We're going to be talking about the stereotypes of aging and how they affect us. And we'll also be doing some deeper dives into some interesting topics, such as what it's like to get old in the society dating when you're older and scientific advancements in anti-aging products and even evolution and scientific thinking around aging and throughout it all we chat rant laugh about or adulting mishaps of which there are so, so, so many. So join us as we navigate our second quarter life crisis. Hi, and welcome to this week's episode of does this make me book? So today I actually want to talk about something that shift just did. And so, you know, we don't actually have a theme or anything for this week, but I do want to bring on this fact and share with you that share with you all that
Speaker 0 00:01:28 It's a follow-up, but it's a follow-up for a specific reason.
Speaker 1 00:01:33 So when we talked about in a previous episode about our taste in music and how it's impacted by getting older someone, and that's not me,
Speaker 0 00:01:45 I wonder who that is.
Speaker 1 00:01:49 Went back home, downloaded her entire list of Spotify songs. Yeah,
Speaker 0 00:01:54 No, no, no, I didn't. There wasn't the entire list. I'm sorry. Selected list. Or it did promise on listeners that playlist that they could like, you know, use to figure out kind of what kind of music I like and then put in suggestions. So then I was like, Oh, I should actually create this playlist.
Speaker 1 00:02:10 Yes. And actually, yes. You know what, I'm going to let her talk to the methodology of what she did, but basically she wanted to prove or disprove the theory that people stop listening to new music, um, after a certain age. And, uh, so I'm going to hand it over to you now to first perhaps set the scene because I want our listeners to understand and visualize the entire nerdy exercise.
Speaker 0 00:02:48 I mean, I'm just imagining, okay. Yes, it was nerdy. I own my nerdiness. So yes. So is right. So, okay. I'll set the stage. I was trying to create this playlist, you know, to look at kind of like the mix of different songs that I like. And in the process I was thinking, Oh, I wonder if it's true that the, your taste in music kind of crystallizes at a certain age, because according to various studies, studies and pieces of, um, you know, pieces of scientific literature out there, most people kind of stick to certain genres of music that they liked when they were in like their twenties and thirties. And so
Speaker 1 00:03:36 I'll tell you get through this playlist
Speaker 0 00:03:39 Picking up a whole mix of songs. And I thought that they were all buried. I thought some of them like, you know, some of them are old, some of them are newer and I thought, Oh, you know what, like, what are the chances that they're all going to be mainly use it from my early thirties? So what I did and people can, you know, chime in with the methodology, because I was speaking about this with, you know, my partner and he's, he thinks my methodology is flawed, but anyway, so basically what I did was I picked about 40 songs. And then I,
Speaker 1 00:04:16 40 songs that you listen to now. Yeah.
Speaker 0 00:04:19 40 songs that I listen to now and like, and, you know, have on my playlist and we'll listen often. And then, um, and bands that I like.
Speaker 1 00:04:28 And how did you come up with the often, like, is it like your top 40? Is it like the 40 most played songs on your list?
Speaker 0 00:04:36 So, yeah. So then this is where we get to Missy. Now you're nerding.
Speaker 1 00:04:46 Ignore that. Ignore that. I, sorry, I didn't mean to interrupt, please continue.
Speaker 0 00:04:52 Yeah. So basically I picked songs from bands that I liked, and then some of them were songs that I listened to on a fairly regular basis. Like they show up on a lot of my other, like Spotify playlist. Um, and then some of them were just, but if it was a band that's well-known, for example, I wouldn't necessarily pick their hit. Oh yeah. So if it was, I don't know, I'm trying to think of what was on. Okay. Yeah. So for example, like if I wanted to put the kid, like I wanted to put a song from hot fuss from the killers, I wouldn't put it on like Mr. Brightside.
Speaker 1 00:05:32 You're looking at me, like, I actually know the band title and I just want the record to show that I do not
Speaker 0 00:05:43 All right. But the listeners who, no music, no music and do care. So then I wouldn't pick necessarily, but then it doesn't matter. Right. Because technically it's the same, it's the same band. It's the same album. It came out at the same time. It's just not the typically well-known song. Right.
Speaker 1 00:06:00 But it's one of one that you like.
Speaker 0 00:06:02 Yeah, exactly. So then, um, so yeah, so then I picked about 40 songs. There was kind of, I guess I tried to make them random.
Speaker 1 00:06:11 So I'm with your partner on this slightly, it is bothering me that you just randomly picked songs.
Speaker 0 00:06:17 Cause you say randomly,
Speaker 1 00:06:19 I feel like there was a bias introduced by you thinking about what song you wanted to pick from which album
Speaker 0 00:06:27 Like, I just, I don't know, like I like the smashing pumpkins, but I didn't want to put on, like, I didn't want to put on the hits because someone like, I mean, I like the hits, but then I like other songs
Speaker 1 00:06:45 That's fair, but I kind of wish you had gone with not having picked the bands maybe by your top 40 most played bands.
Speaker 0 00:06:54 No, but this list was because I wanted to show which songs you liked today. No, this, this was also to show what Sean was of music.
Speaker 1 00:07:04 Yeah.
Speaker 0 00:07:06 So then that's why, yeah. So that's why I'm talking about like the bands and, Oh, it doesn't matter. But basically it was like the Sean was of music, which was very rock heavy, very, very bad anyway, rocking. Like we're like, yeah, kind of old nineties, like trip hop anyway, whatever, it doesn't matter. Like electronic kind of music. I didn't realize I had such a weird bent, but anyway, so then, but as I was looking through the list and I was like, Oh, this is, I do have a type of music clearly. So anyway, so I went through, yeah. So I just picked like 40 songs and uh, like ones that I would list, like ones that I, but these are songs that I would listen to like at work. And then, um, yeah, so then what I did was I basically took the release date for each of the songs and average them all out to see what the overall age of the music that I like is. And it's true. The average. Yeah. So basically the release date. Yeah. The release date for most of the music basically puts it in my early thirties. I would have been in my early thirties when you started the average age, basically just like prove those, those studies. Correct. But it's true because my partner thinks that I shouldn't have done it that way. But then, but because of the purposes of this playlist, just to show,
Speaker 1 00:08:31 Listen, as long as you stick, stay consistent in your
Speaker 0 00:08:35 Well, no, but I'm planning on doing this because I kind of do want to see, so the next, the next option is to take my top played songs on like on my Spotify playlist. Cause like at the end of the year, they always give you like your top, however many, I think it's 25 or something, most played songs. And then going to go back a few years
Speaker 1 00:08:56 To see if it's aged with you,
Speaker 0 00:08:59 Which is curious because they started doing it. And why, why anyway? I don't know. I don't even have Spotify. I only joined Spotify, I think in 2015 or 2016. So I think, but they, I think they do have your top songs. I'm pretty sure they were. Yeah, I should actually. Okay. So now you're making me Perry up this giant nerdy project where I'm going to see how, but I really want to know
Speaker 1 00:09:21 Just for the record, I would like some sort of bar chart
Speaker 0 00:09:26 Or some kind of, you know, create a trending line and put it on the website that would actually make me feel better. Yeah, no, I will. I'll do that. I'll see how it changes over time. I think that like, I have a feeling
Speaker 1 00:09:44 I want to ask you though, before you digress. Cause we do this a lot. Um, what was the most played shot?
Speaker 0 00:09:50 Definitely. I have a feeling was definitely wrong
Speaker 1 00:09:52 And band. Or did you just say select one?
Speaker 0 00:09:57 I think there were a couple of songs where maybe I selected a couple of.
Speaker 1 00:10:02 Okay. Cause there's a few other angles you should be doing, right.
Speaker 0 00:10:04 Oh man. It's going to be a huge project.
Speaker 1 00:10:09 You should select basically the most played songs regardless. So per year, per year, let's go back. I don't know, three years, four years, if we can. Um,
Speaker 0 00:10:21 We can definitely go back. I think we can go back six. I have a feeling we can go back six. I'm going to, I'm going to look and find out.
Speaker 1 00:10:26 Yeah. Okay. So while you're doing that, I actually also wants you to write down the demographics slash attributes of, of the bands. So it's not just the genre, like, you know, is it a band? Is it a singer? Is it a male female? Is it, you know, like I just, I kind of want to sort of see if there's any changes in all of those different attributes.
Speaker 0 00:10:47 Interesting. Oh, like over time,
Speaker 1 00:10:50 It's like, you know, have you like, were you more rock heavy before now? You're more whatever hip hop, you know, or classical music.
Speaker 0 00:11:01 I'm pretty sure. Um, I'm pretty, it's solid rock, like the whole way, but anyway.
Speaker 1 00:11:07 So why don't you to add the time element? Have you started listening less to music now than you have before? I'm just curious because you listen. Well, can't you? I mean, does it no. See if, if I were tracking this, I would track how many songs I listened to. What's the average length of the songs. How many times?
Speaker 0 00:11:25 I don't think you can talk. They don't talk that I don't know. Do they need to know how much time you're spending, but they don't give it back to you?
Speaker 1 00:11:33 You should. Because like how much time did I spend on Spotify? Like if I were to average out the time I spent on Netflix, for example,
Speaker 0 00:11:44 I don't want to know, but we're
Speaker 1 00:11:47 Um, that would be something that would, because you know, I want to know like, did you listen to more songs or music when you were younger or has it actually increased now? Um, you know, and is it during, see if you could add the time element, then you could figure out, is it actually listening to the songs or are you just playing it at the background? Cause you're working. Yeah. So anyway, so it was just, I'm just saying that it, in order to be a proper study, that would make me really,
Speaker 0 00:12:15 I don't think you can do that. Spotify tracks that be me. I can't remember what they showed you with the, your end. Cause they give you stats. Like, so at the end they will tell you like, what song was your most played song, for example, that's cool. They do give you the number of listens. But when you go onto the actual app, like you can't figure out how many times you can listen to it. So they know, but they don't let you just know that you're addicted these five years on Spotify. I have a top songs of 2016 on this so I can track it.
Speaker 1 00:12:50 I still think that there's a lot you can do with this, but I am actually very curious.
Speaker 0 00:12:55 All right. So this will be an ongoing project apparently to your day job. I know it all started just because I was curious, but yeah, I know I was really, I was kind of upset. I was like, gee, I am squarely in the statistic that they are. They tell me, I am.
Speaker 1 00:13:14 It makes you feel any better. If you were to do the same exercise with books, the average age would be much higher because some of the classics would
Speaker 0 00:13:22 Like totally make
Speaker 1 00:13:24 The books. Like what? Literally hundreds of years old. That's true. So, you know, you could feel better there.
Speaker 0 00:13:31 Yeah, that's true. Yeah. Yeah.
Speaker 1 00:13:35 Average age is an age that I haven't even reached yet.
Speaker 0 00:13:39 It's not how old the songs are. It's basically just kind of like when it was released, right? Yeah. So it was when it was released, it kind of gives you an idea of like how, how old the songs are. Yeah. What you're saying
Speaker 1 00:13:53 With the books and whatever they were published. So if you're like, I don't know, like Jane Austen's pride and prejudice. That would be like, what 18? Yeah. I want to say 1861.
Speaker 0 00:14:05 Yeah. Can't calculate the age. You would have been when they came out. Yeah.
Speaker 1 00:14:10 No, no, no. That's why I'm saying you would have to go with the age of the box. So that would make our ages way higher. Like, you know, like the average age of the book.
Speaker 0 00:14:19 Yeah, yeah, yeah. Yeah. So the, for the songs will be different because I guess the average age of the songs that I listened to, they're only 13 years old. Yeah. Yeah. That's funny. That's what I'm saying. There's ways to slice and dice and interpret things depending on what you want. That's too funny. It's what I want the result to be. It's more like, I just want to know what the data is. I'm, you're a scientist.
Speaker 1 00:14:54 I'm like, what's the story here? What's the narrative.
Speaker 0 00:14:59 What's the data actually saying? Yeah. So then, um, yeah, but it'd be interesting. I'm getting to, I'm going to get my partner to do it too. I want to see the age of the songs that he's been listening to.
Speaker 1 00:15:09 That would be really funny if his was like 23.
Speaker 0 00:15:15 I don't think so. I honestly don't think so. Like he listens to music from like the eighties, the seventies and eighties, like yeah, no, I'm pretty sure I'll be justified watching it. She can just Spotify lists now. I bet you you'll be like listening to all the songs just to like shoot the stats. I'll figure it out. Well,
Speaker 1 00:15:34 If you do it this weekend, he won't have time. No, that's
Speaker 0 00:15:37 True. Yeah. But I know I will do it for like the top songs. Cause, cause that is true. Like the most played songs might be different versed on like this curated list of songs that I was thinking of. But yeah. Well I have a feeling that I honestly think my top played songs are probably, I don't think, I don't think that the, I don't know. I don't know. We'll see. We'll see if they've changed over time. I wonder change over years, based on what's happening to you in the year, had a feeling that the pandemic has probably changed the music that you listened to or the star or the, in what way? Like everyone's moving towards comfort. Right? So then like, I mean comfort food, comfort TV. I have a feeling. It would probably be comfort music too. So I'm just, I'm wondering if everybody's going back to music that they enjoyed when they were younger or yeah, I'd be curious.
Speaker 1 00:16:37 And actually that actually sounds quite a reasonable assumption or hypothesis I guess, would be the right term. But yeah, no, that does sound reasonable. Yeah, you're right. Like I am rewatching a lot of my old favorites right now. Like rather than discover something new, I'm like, well let's just watch friends, alias.
Speaker 0 00:16:59 Exactly. I know because everyone kind of wants to just like, you know, just enjoy the familiarity of something and just know what to expect, at least in that at least in their like private personal lives. I wonder if that, that changes what happens to your music listening as well. So I wonder if in like 20, 20 everybody kind of like was listening to more yeah. Just a different music compared to the previous year. Dammit. No white have to go through. What do you mean now? Like now committed. Okay. Well, yeah, like, yeah. So like I wonder if like, yeah, the average age of like this year is actually might be older than it would have been in previous years, you know?
Speaker 1 00:17:59 So, okay. Yeah. No, you definitely have to go by the most platelets then.
Speaker 0 00:18:06 Yes. So that will be different. It'll be different from the list that I put up.
Speaker 1 00:18:10 Yeah. And we'll put all of them up on, on, on, on the website, uh,
Speaker 0 00:18:14 Or yeah, we'll put up all of the top. Like not all of my top plates.
Speaker 1 00:18:19 She'll curated before she shares.
Speaker 0 00:18:24 I don't think we want to listen to like my Spotify playlist. I think most liked songs. I can think of a thousand songs in there been joking. It's like a thousand songs already. I'm pretty sure I don't want to subject people.
Speaker 1 00:18:41 No. Okay. Well let's go to the top 10. Um, and yeah. And, and we'll share it on, um, website and Instagram. Um, so if you guys are on social, I mean, we just have to create a list. Right. And then put it out there. I don't know. We'll figure it out. Okay.
Speaker 0 00:19:01 I know I can put a playlist on a, on our website so that you can actually play like play,
Speaker 1 00:19:06 But I meant like even the list of songs, we might be able to share that, so I'll figure it out someday. Um, so yeah. So if you guys are on social media, follow us on Instagram. Uh, does this make me look old? Um, same, uh, same name, um, on Facebook. Um, we're also Twitter, uh, to, does this make me look and the number two? So it's two. Does this make me look to, um, Twitter handle and of course our website. Yeah.
Speaker 0 00:19:36 Oh yeah. And then feel free to email us as well. If you want to talk to us about check my email just for the record, I check it with your list and like the average age of like your playlist, I'd be very curious.
Speaker 1 00:19:52 Um, just to shift sends the emails that I sometimes respond through WhatsApp or chat about your email. And I don't know what it is. It's like a mental block,
Speaker 0 00:20:06 But yeah. So we're at DT
[email protected] cause it's quicker than does this make me look old, but you know, dot com, but both will come to us if you want it. If you want to email at one or the other.
Speaker 1 00:20:19 And on that note, um, we'll see you again. Next time.
Speaker 0 00:20:22 <inaudible>.
