1 00:00:00,080 --> 00:00:03,520 Speaker 1: All right, let's see if you're in the average average 2 00:00:03,560 --> 00:00:08,200 Speaker 1: earnings by age group revealed and these were revealed by 3 00:00:08,280 --> 00:00:11,600 Speaker 1: the Federal Reserve. They put out some data and they 4 00:00:11,640 --> 00:00:16,079 Speaker 1: broke it down via age group median earnings by age 5 00:00:16,160 --> 00:00:19,880 Speaker 1: for the typical US worker, if you are age twenty 6 00:00:19,880 --> 00:00:24,159 Speaker 1: five to thirty four, the average salary right now the 7 00:00:24,320 --> 00:00:29,960 Speaker 1: career building stage is sixty thousand dollars. Okay, if you're 8 00:00:30,040 --> 00:00:33,879 Speaker 1: between thirty five and forty four, this is often your 9 00:00:33,920 --> 00:00:37,240 Speaker 1: peak early career earning age. 10 00:00:37,280 --> 00:00:38,920 Speaker 2: Seventy two thousand dollars. 11 00:00:38,640 --> 00:00:42,720 Speaker 1: Per year is the average. You do take a little 12 00:00:42,760 --> 00:00:46,960 Speaker 1: slight dip at forty five to fifty four, the average 13 00:00:47,000 --> 00:00:50,360 Speaker 1: salary is seventy one thousand dollars a year, and then 14 00:00:50,440 --> 00:00:53,440 Speaker 1: later in your career at fifty five to sixty four, 15 00:00:53,560 --> 00:00:57,200 Speaker 1: the average salary sixty eight thousand dollars per year, and 16 00:00:57,480 --> 00:01:00,520 Speaker 1: ages sixty five plus it goes down on to is 17 00:01:00,560 --> 00:01:02,800 Speaker 1: sixty two thousand dollars a year. 18 00:01:02,960 --> 00:01:05,440 Speaker 2: So how you stacking up what I found? Are you 19 00:01:05,480 --> 00:01:06,080 Speaker 2: in the average? 20 00:01:06,319 --> 00:01:09,440 Speaker 3: What I found interesting about this, And whenever there's data involved, 21 00:01:09,520 --> 00:01:12,280 Speaker 3: I always I'm like, all right, stop, let's look into 22 00:01:12,280 --> 00:01:14,760 Speaker 3: this and make sure that it's being presented correctly. 23 00:01:14,920 --> 00:01:15,800 Speaker 2: So a lot of times. 24 00:01:15,640 --> 00:01:18,120 Speaker 3: When you hear about earnings, generally they're presented in the 25 00:01:18,120 --> 00:01:21,080 Speaker 3: form of household earnings. So whether or not, you know, 26 00:01:21,120 --> 00:01:23,080 Speaker 3: if you're you're married with a couple of kids, and 27 00:01:23,080 --> 00:01:25,640 Speaker 3: your wife stays home from work, your household earnings are 28 00:01:25,680 --> 00:01:28,560 Speaker 3: whatever the manners. If both you know, spouses work, then 29 00:01:28,600 --> 00:01:29,840 Speaker 3: the household earnings are combined. 30 00:01:29,880 --> 00:01:30,640 Speaker 2: That's not what this is. 31 00:01:30,720 --> 00:01:34,880 Speaker 3: This is individual earnings for singles, for one single solitary person. 32 00:01:35,480 --> 00:01:37,240 Speaker 3: And I think that's important to point out. The other 33 00:01:37,240 --> 00:01:39,399 Speaker 3: thing that I found shocking on this. I think there's 34 00:01:39,400 --> 00:01:42,480 Speaker 3: always been this narrative that you know, as you get older, 35 00:01:42,600 --> 00:01:45,679 Speaker 3: especially in your late forties, and earning more. 36 00:01:45,720 --> 00:01:47,920 Speaker 2: But look at this, so I mean, when it goes down, 37 00:01:48,040 --> 00:01:49,680 Speaker 2: you plateau. Well, but it's about the same. 38 00:01:49,720 --> 00:01:53,600 Speaker 3: So from thirty five to sixty four the earnings are 39 00:01:53,720 --> 00:01:56,200 Speaker 3: essentially the same. There's only a three thousand dollars difference 40 00:01:56,240 --> 00:01:59,520 Speaker 3: between those two age groups there. So I mean this 41 00:01:59,600 --> 00:02:02,120 Speaker 3: is show that the data pretty much when you're thirty five, 42 00:02:02,600 --> 00:02:05,600 Speaker 3: the average person making the same when they're sixty four. 43 00:02:05,720 --> 00:02:07,720 Speaker 2: That's a huge thirty year chunk there. 44 00:02:08,040 --> 00:02:12,040 Speaker 3: When your income is pretty steady and even and not 45 00:02:12,160 --> 00:02:14,200 Speaker 3: growing like all of us kind of think it is 46 00:02:14,240 --> 00:02:15,880 Speaker 3: like we have I have this idea in my mind 47 00:02:15,880 --> 00:02:18,320 Speaker 3: that oh, in your fifties, that's when you're really that's 48 00:02:18,320 --> 00:02:20,120 Speaker 3: when you're making the most money ever in your career. 49 00:02:20,160 --> 00:02:22,200 Speaker 2: The data shows that's just not true. Nope, that's not it. 50 00:02:22,280 --> 00:02:25,919 Speaker 1: Most people plateau between thirty five and forty four average, 51 00:02:25,960 --> 00:02:29,640 Speaker 1: of course does an equal ideal. We'd all like to 52 00:02:29,639 --> 00:02:32,400 Speaker 1: be making more. By the way, I am well below 53 00:02:32,440 --> 00:02:34,240 Speaker 1: average putting it out there. 54 00:02:34,480 --> 00:02:38,520 Speaker 3: And here's the other to anybody who might be listening. 55 00:02:39,639 --> 00:02:43,960 Speaker 2: In this entire company in the area. What I find 56 00:02:44,040 --> 00:02:45,400 Speaker 2: interesting also about this too. 57 00:02:45,440 --> 00:02:48,280 Speaker 3: So you obviously, cost a living in the area you 58 00:02:48,320 --> 00:02:50,600 Speaker 3: live is going to be a huge driver for this, 59 00:02:51,000 --> 00:02:53,240 Speaker 3: because if you're if you're making seventy thousand dollars a 60 00:02:53,280 --> 00:02:55,640 Speaker 3: year and you're trying to live in Manhattan, you're not 61 00:02:55,840 --> 00:02:57,600 Speaker 3: making it. If you're trying to live in these high 62 00:02:57,639 --> 00:03:02,040 Speaker 3: cost states, high tax states like California, in New York, Illinois, Washington, 63 00:03:02,520 --> 00:03:04,640 Speaker 3: that number is going to have to be much much higher, 64 00:03:04,720 --> 00:03:06,480 Speaker 3: or else you're just gonna flat out have to move 65 00:03:06,760 --> 00:03:08,360 Speaker 3: to a much lower cost of living area. 66 00:03:08,560 --> 00:03:10,720 Speaker 1: So there was another study that came out and it 67 00:03:10,800 --> 00:03:13,560 Speaker 1: said that there is a huge spike in US traffic 68 00:03:13,600 --> 00:03:18,680 Speaker 1: fatalities on days when major hit albums are released. 69 00:03:19,880 --> 00:03:21,799 Speaker 2: I was trying to recall when was the. 70 00:03:21,800 --> 00:03:24,960 Speaker 1: Last time a major hit album was released, and the 71 00:03:25,000 --> 00:03:28,480 Speaker 1: best I can come up with was the latest Taylor Swift. 72 00:03:29,000 --> 00:03:32,160 Speaker 1: It wasn't really even a hit. It was panned. However, 73 00:03:32,200 --> 00:03:34,040 Speaker 1: that's the one that people were waiting for. 74 00:03:34,240 --> 00:03:35,839 Speaker 3: Yeah, that's the last one I can think of too, 75 00:03:35,880 --> 00:03:38,360 Speaker 3: and I didn't. I haven't heard a song from Taylor 76 00:03:38,360 --> 00:03:39,880 Speaker 3: Swift's new album, and I think it's been out for 77 00:03:39,920 --> 00:03:42,000 Speaker 3: over a year now, or maybe close to a year now, 78 00:03:42,160 --> 00:03:45,440 Speaker 3: But yeah, that was the last one that I can remember. 79 00:03:45,600 --> 00:03:46,600 Speaker 2: What's can you? Can you? 80 00:03:46,640 --> 00:03:48,920 Speaker 3: What's like the last album that came out where you 81 00:03:48,920 --> 00:03:51,680 Speaker 3: were like, man, I gotta go get that because if 82 00:03:51,680 --> 00:03:53,040 Speaker 3: you think about it, it's not going to be any 83 00:03:53,080 --> 00:03:55,760 Speaker 3: band's debut album. Yeah, we were talking about this off 84 00:03:55,800 --> 00:03:57,600 Speaker 3: the air and you had mentioned Alanis Moore set was 85 00:03:57,600 --> 00:03:59,520 Speaker 3: really big, but that wasn't one. You didn't even know 86 00:03:59,560 --> 00:04:01,680 Speaker 3: who she was when that album came right her data, 87 00:04:01,680 --> 00:04:05,040 Speaker 3: so you couldn't get Yeah, you couldn't be anticipating this 88 00:04:05,400 --> 00:04:07,360 Speaker 3: to come out so it's got to be It can't 89 00:04:07,360 --> 00:04:08,680 Speaker 3: be somebody's debut album. 90 00:04:08,840 --> 00:04:11,160 Speaker 1: Yeah, I can't even come up with one that I 91 00:04:11,240 --> 00:04:14,120 Speaker 1: have been like chomping at the bit, like, oh man, 92 00:04:14,160 --> 00:04:15,480 Speaker 1: I can't wait for this to come. 93 00:04:15,360 --> 00:04:17,320 Speaker 3: Out, right, And probably even if you did, it would 94 00:04:17,320 --> 00:04:18,599 Speaker 3: have been back in the day when you would have 95 00:04:18,640 --> 00:04:20,440 Speaker 3: to go out and buy the CD. 96 00:04:20,640 --> 00:04:23,880 Speaker 1: Right by the whole thing. So researchers they tracked the 97 00:04:23,960 --> 00:04:26,600 Speaker 1: top ten most streamed albums in the US, and they 98 00:04:26,640 --> 00:04:30,640 Speaker 1: found out that when those albums dropped and streaming surged 99 00:04:30,720 --> 00:04:35,479 Speaker 1: by about forty percent, fatal crashes rose fifteen percent on 100 00:04:35,640 --> 00:04:36,760 Speaker 1: the same day. 101 00:04:37,400 --> 00:04:38,960 Speaker 2: And it's even. 102 00:04:38,760 --> 00:04:42,200 Speaker 1: Worse now that you've got the Apple Car Play because 103 00:04:43,000 --> 00:04:46,000 Speaker 1: technology makes it easier to interact with the streaming apps 104 00:04:46,040 --> 00:04:48,120 Speaker 1: while you're in your car, and people are more. 105 00:04:47,960 --> 00:04:49,839 Speaker 2: Distracted by That's fascinating. 106 00:04:49,839 --> 00:04:51,640 Speaker 3: I'm trying to think the l I would have had 107 00:04:51,640 --> 00:04:53,680 Speaker 3: to have been a teenager the last time I was 108 00:04:53,839 --> 00:04:56,599 Speaker 3: like geared up, ready to go, I'm going out and 109 00:04:56,640 --> 00:04:57,559 Speaker 3: I'm buying the CD. 110 00:04:57,839 --> 00:05:00,840 Speaker 2: It probably would have been oh geez. 111 00:05:01,120 --> 00:05:04,400 Speaker 3: I definitely remember that for Metallica's Black Album when that 112 00:05:04,400 --> 00:05:10,479 Speaker 3: came out in ninety one. Probably Pearl Jam's second album Versus, 113 00:05:10,640 --> 00:05:14,159 Speaker 3: maybe Nirvana's follow up album to never Mind that was 114 00:05:14,200 --> 00:05:16,280 Speaker 3: in your euro Those would have been, you know, when 115 00:05:16,320 --> 00:05:18,520 Speaker 3: I was, you know, eighteen, nineteen, twenty years old, so 116 00:05:18,520 --> 00:05:18,760 Speaker 3: it would 117 00:05:18,760 --> 00:05:19,440 Speaker 2: Have been a long time ago.