Math Might Be The Most Valuable Thing You Don’t Want To Learn (2266)

In today’s episode of Next Level University, hosts Kevin Palmieri and Alan Lazaros break down why so many people stay stuck by relying on emotion instead of objective data. You’ll learn how understanding your numbers builds real confidence, how measurable feedback improves decision-making, and why tracking your behavior is a cornerstone of long-term personal development. This conversation highlights the role of data, clarity, and self-awareness in creating consistent results, especially for anyone serious about growth, success, and high performance.

If you’ve been feeling uncertain, frustrated, or unclear about your next step, this episode reveals the skill that elevates focus, accuracy, and long-term progress.

Press play and become the person who builds their future with intention and evidence, not emotion or chance.

Learn more about:
Next Level Hope Foundation – GoFundMe donation link
https://gofund.me/5c6abcf7f

Episode Reference:
The Map of Mathematics - https://www.youtube.com/watch?v=OmJ-4B-mS-Y

Visual Asset:
Foundational Mathematical Thinking - https://drive.google.com/file/d/1MVXeaS3F_7pK_aR3xHnQ7UGg-NPwbE31/view?usp=drive_link

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NLU is not just a podcast; it’s a gateway to a wealth of resources designed to help you achieve your goals and dreams. From our Next Level Dreamliner to our Group Coaching, we offer a variety of tools and communities to support your personal development journey.

For more information, check out our website and socials using the links below. 👇

Website: http://www.nextleveluniverse.com

Instagram:
Kevin: https://www.instagram.com/neverquitkid/
Alan: https://www.instagram.com/alazaros88/

Facebook:
Alan: https://www.facebook.com/alan.lazaros
Kevin: https://www.facebook.com/kevin.palmieri.90/

Email:
Kevin@nextleveluniverse.com
Alan@nextleveluniverse.com

LinkedIn:
Kevin: https://www.linkedin.com/in/kevin-palmieri-5b7736160/
Alan: https://www.linkedin.com/in/alanlazarosllc/

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Show notes:
(3:38) How mathematical thinking improves prediction and decision-making
(6:12) Why private predictions build self-awareness and reduce emotional bias
(11:19) Using data to override fear, uncertainty, and irrational assumptions
(14:09) The advantage of understanding numbers in business and life
(17:38) How limitless options lead to overwhelm without measurable guidance
(21:05) Rational thinking, accurate information, and better life design
(23:09) Why successful people track everything and think in long-term probabilities
(25:57) Outro

🎙️ Hosted by Kevin Palmieri and Alan Lazaros

Next Level University is a top-ranked daily podcast for dream chasers and self-improvement lovers. With over 2,100 episodes, we help you level up in life, love, health, and wealth one day at a time. Subscribe for real, honest, no-fluff growth every single day.

Chapters

• 3:38 How mathematical thinking improves prediction and decision-making
• 6:12 Why private predictions build self-awareness and reduce emotional bias
• 11:19 Using data to override fear, uncertainty, and irrational assumptions
• 14:09 The advantage of understanding numbers in business and life
• 17:38 How limitless options lead to overwhelm without measurable guidance
• 21:05 Rational thinking, accurate information, and better life design
• 23:09 Why successful people track everything and think in long-term probabilities
• 25:57 Outro

Transcript

Kevin Palmieri

(0:00) Shout out to Mr. Silvestri, my, I don't know what grade math teacher, but he would be very, very proud of the episode we're doing today. (0:11) He wouldn't be proud of me based on how I sat through his class and had to cheat to get through math class, but today he'd be very proud.

Alan Lazaros

(0:17) He taught me geometry and algebra too. (0:21) Mr. Silvestri, this will be a blast from the past.

Kevin Palmieri

(0:24) Welcome to Next Level University. (0:27) I'm your host, Kevin Palmieri. (0:28) And I'm your co-host, Alan Lazarus.(0:32) At NLU, we believe in a heart-driven, but no-BS approach to holistic self-improvement for dream chasers.

Alan Lazaros

(0:38) Our goal with every episode is to help you level up your life, love, health, and wealth.

Kevin Palmieri

(0:45) We bring you a new episode every single day on topics like confidence, self-belief, self-worth, self-awareness, relationships, boundaries, consistency, habits, and defining your own unique version of success.

Alan Lazaros

(1:01) Self-improvement in your pocket, every day, from anywhere, completely free.

Kevin Palmieri

(1:07) Welcome to Next Level University. (1:13) Next Level Nation today for episode number 2,266, not gonna be sexy. (1:18) Math might be the most valuable thing you don't want to learn.(1:22) We got some really good feedback from somebody in the Next Level Podcast Accelerator. (1:27) Shout out to team Hypecast. (1:29) And this person sent a video message in the group, which I always love working with podcasters.(1:34) They send audio messages and video messages all the time, so it's the best. (1:37) And they said, I've had a surprising win from this group coaching. (1:43) And one of it was I lowered my prices and now I have the most clients I've ever had and the most calls.(1:48) And they said, but the thing is, I've been tracking everything I do. (1:51) And it's really important and it's really valuable for me to be able to look at the math and add up how many things I've done that have led to how many of these things that have led to how many of these things. (2:01) And I just feel like, I don't know, so many of the skills that I avoided when I was younger and so many of the lessons and subjects that I ran away from have been the things that have been the most valuable later in life.(2:18) And math might be the most valuable one out of all of them. (2:23) You can spell check in Google Docs. (2:27) You can spell check in chat GPT.(2:29) When it comes to math though, as you move through life, I just think it helps you understand probabilities and all of that. (2:36) So I know you've been waiting to do this episode for almost nine years now. (2:40) Here we are.(2:41) It's here.

Alan Lazaros

(2:42) I've been waiting to do this episode my entire life. (2:46) No, I want to start off with, do you remember when Mr. Silvestri used to talk to the whiteboard? (2:53) Yes.(2:54) He used to turn around and talk to the whiteboard and say, nobody's listening to me. (3:01) I don't know why, but nobody's listening to me. (3:03) Should I talk to you?(3:04) Just talking to the whiteboard.

Kevin Palmieri

(3:05) You remember that? (3:06) It's gotta be hard being a teacher in Uxbridge, Mass. (3:08) Do you think Mr. Silvestri is still with us?(3:10) That was almost 20 years ago. (3:13) He was probably in his, what, 60s at that point. (3:15) I wonder if he's still with us, Mr. Silvestri. (3:17) Yeah, I don't know. (3:18) Isn't that crazy to think of? (3:19) Yeah, it is.

Alan Lazaros

(3:21) Wow. (3:22) Well, to bring this to our listeners, other than reminiscing about the fact that Kevin and I went to high school together, is success and mathematics, how are these connected? (3:38) The better question is, how are they not connected, in my opinion?(3:45) Emilia and I went to the gym last night on Gratitude Day, calling it Gratitude Day, which hopefully is every day. (3:54) I'm grateful every day. (3:57) There's a charger at our gym that we just started using.(4:01) We got this new attachment. (4:03) It's not a Tesla charger. (4:04) It's an EV charger, and we have a new attachment that works.(4:06) In real time, it said eight hours and six minutes for a full charge. (4:12) I knew we were at 43%, and she said, what does your brain tell you? (4:18) I said, 10%, because we're going to be in the gym for a little more than an hour.(4:23) I unpacked it for her on the whiteboard when we got home, because she's like, how did you do that? (4:28) It ended up being 52.5%. 52, it was almost 53. (4:32) And I said, nice.(4:34) I don't know what my brain did to calculate that. (4:37) I just knew it would be about 10%. (4:38) And then she's like, can we unpack it when we get home?(4:40) Yes. (4:42) This is what my brain did. (4:43) I'll be brief with it.(4:47) It was at 43%, which if you do 100 minus 43, it's 57. (4:53) I routed it up to 60. (4:55) So there's 60% left on this Tesla to get it to 100%.(4:59) We hammer right past the buffer, right to the 100%, not to waste time. (5:05) But if you do have an EV, you realize that the last 20% takes like a third more time. (5:13) It takes a lot more time.(5:16) So I did one sixth is 10%, but it said it would take eight hours and six minutes. (5:22) And I knew that the tail end was the majority of that eight hours and six minutes. (5:26) So I kind of did that math in my head and I figured it would be around 10%.(5:29) Ended up being 9.5% when I did it on the whiteboard. (5:33) The point I'm making of this is not to confuse anyone, not to have you shut off. (5:37) The point is, is my ability to do mathematics helps me predict outcomes in advance.(5:44) And when you can predict outcomes in advance, let's talk about why that's valuable.

Kevin Palmieri

(5:49) It gives you certainty. (5:51) That's number one.

Alan Lazaros

(5:52) Yeah, that's great.

Kevin Palmieri

(5:53) You get a lot of certainty.

Alan Lazaros

(5:55) You can make better decisions. (5:59) Make better decisions. (6:01) You also feel a stronger sense of control in your life, so you're less anxious.

Kevin Palmieri

(6:06) I think the more predictions you make, it's going to be maybe the dumbest thing I've said in my entire life. (6:12) The more predictions you make, the more predictions you're comfortable making because you know whether they went right or wrong. (6:18) All the time, you'll hear me when Alan brings up a math equation, I always say, wait, let me try to do it.(6:25) The reason I'm trying, I always say that is because I want to see whether or not I'm closer than I would have been in the past.

Alan Lazaros

(6:31) So that's what the scientific method is. (6:33) It's make a prediction and then test your hypothesis. (6:36) It's literally what the entire scientific research community, the whole fucking scientific world is built on that.

Kevin Palmieri

(6:43) But I think you've got to make it in private. (6:46) I think you have to make the prediction in private because when you make it around other people, they like to shit on you when you're... (6:50) Oh, 10%, huh?(6:53) It was only 7%, you dumb bastard. (6:56) Oh, okay. (6:58) I'm sorry.(6:59) Yeah. (6:59) I'm sorry. (7:00) I was wrong.(7:01) So I think you have to make, there are certain predictions I think you have to make in private because when you make them in public, it just doesn't always bode well, especially if your friends are not nice people.

Alan Lazaros

(7:13) And also, okay, so I said 10%, it was 9.5. Would someone think I was wrong?

Kevin Palmieri

(7:22) If you don't know math, you don't know that that is actually a minuscule miss.

Alan Lazaros

(7:26) That's plus or minus 5% error. (7:28) That's great. (7:29) It's really good.(7:30) It's unbelievable, actually. (7:32) But if you don't know that, it's just like, oh, you said it'd be 10. (7:39) I've realized this, and this has been hard for my engineering brain.(7:42) People take what other people say literally, and there's always ambiguity in everything. (7:49) So if I say Kevin is 5'6", he's not actually 5'6". (7:52) He's 5'5.5, and we're rounding up to 5'6". (7:55) No one's actually, I'm not 6'2". (7:57) I'm 6'1.75. Everybody fucking knows that.

Kevin Palmieri

(8:01) No. (8:03) I don't assume you're exactly 6'2", but I don't know what the actual number is. (8:09) I'm guessing it's not 6'3", because you probably would round down.(8:14) Let's share this.

Speaker 3

(8:15) What was the, nothing doesn't have percent error.

Alan Lazaros

(8:26) Oh, got it. (8:27) Okay. (8:27) You have an electric car now.(8:29) Awesome. (8:30) There's something called charge anxiety. (8:33) You've heard of this?(8:34) I've experienced this. (8:36) Okay. (8:37) Emilio and I have had a Tesla for coming up on three years.(8:41) I'm rounding up. (8:42) In April, it'll be three years. (8:44) Okay.(8:44) I don't have to, now it's like, I'm not going to say that every time. (8:46) I'm just going to say three years and move on with my goddamn life. (8:48) 1,200 days.(8:50) Yeah, exactly. (8:51) So anyways, my point in this is mathematics is extremely precise. (8:59) And words are not, which is why I like math better than words, but I have to talk in words.(9:05) I can't talk in math. (9:07) And I did it in book club once. (9:09) It was fascinating.(9:10) And they were like, what the hell? (9:12) I said, that's what my brain is actually saying, but I'm not going to talk like that. (9:16) No one's going to know what I'm talking about.(9:18) If you want to experiment with this, there's a book called Algorithms to Live By. (9:22) It's a computer scientist's approach to decision-making. (9:25) And Kevin and I read that book years ago.(9:28) And Kev said, you think like this? (9:29) And I said, oh my God, you don't? (9:31) Definitely not.(9:32) Okay. (9:33) Right. (9:33) And so charge anxiety.(9:38) Emilia gets it way worse than I do. (9:41) I never get it. (9:43) She's like, well, we only have 7%.(9:45) I'm like, we're good. (9:47) She's like, what do you mean? (9:49) I said, I've calculated it.(9:50) We're fine. (9:51) You think the engineers didn't put in a fucking buffer? (9:55) I said, sweetheart, think about it.(9:56) The owners of that company and the engineers at that company put in a buffer. (10:00) They don't want a bunch of Teslas on the side of the road with bad charges. (10:04) There's a huge freaking buffer.(10:06) You can hammer right past zero if you want to. (10:09) And the reason they do that is so that they don't, no one gets straight on the side of the road because that's bad marketing. (10:15) Right.(10:15) And don't associate me with any of this. (10:17) The point is Tesla, the whole thing, Elon, none of that. (10:21) That's not what I'm talking about.(10:22) What I'm talking about is business and products and mathematics. (10:25) I said, sweetheart, we're fine. (10:28) You can bring that thing down to 3%.(10:30) We're fine. (10:31) I've gotten it down to zero miles. (10:35) Yeah.

Kevin Palmieri

(10:36) It's probably not the healthiest thing. (10:38) The problem for me, the software is set up to where there's extra, just like in the gas tank.

Alan Lazaros

(10:43) You can hammer right past the E.

Kevin Palmieri

(10:45) That's always been my thought. (10:46) One of the first things I did when I got my car was I Googled how much past zero can you go? (10:50) Just so I know, let me- Your anxiety, you solve it with certainty by looking things up.(10:57) It's hilarious. (10:58) I drove to New Jersey for my clients a couple of weeks ago and I was like, dude, I had it mapped out. (11:05) I had it absolutely mapped out.(11:08) It was the best.

Alan Lazaros

(11:09) Well, when you crunch numbers, you actually have a really high degree of certainty about things. (11:19) If you're concerned about getting eaten by a shark, or you're concerned about getting eaten by a bear in the woods, or you're concerned about ... (11:25) You can solve all of that.(11:27) I solve all that with math.

Kevin Palmieri

(11:31) I'm just not- Let's talk about it from a success perspective. (11:35) Because I know right now we're talking- This is new for you, right?

Alan Lazaros

(11:38) You were not mathematically inclined. (11:42) No. (11:43) Was mathlete a thing in our school?(11:46) No, no. (11:47) I said math-ly instead of mathematically. (11:49) Oh, I thought you said math-elite.(11:50) No, no. (11:51) We did go to math competitions at WPI, though. (11:54) See?(11:54) There you go. (11:55) Real quick. (11:56) Mathematics competition.

Kevin Palmieri

(11:57) Before we talk about success, the donation page for the Next Level Whole Foundation is up and live. (12:03) The GoFundMe is up. (12:04) We'll have the link below in the show notes.(12:05) For those who don't know, Alan and I were both raised without dads. (12:09) Every Father's Day, we would spend time together and we would go fishing while all of our friends spent time with their fathers. (12:16) Then that eventually evolved into our Next Level Hope Foundation, where we would rent out the YMCA locally to where we lived for Father's Day.(12:23) Then we said, well, I mean, that's obviously a sad time for children of single parents, but I think the holidays is also another sad time. (12:31) We have two events per year. (12:33) The winter one is coming up.(12:35) If you'd like to donate, we'll have the link below in the show notes. (12:38) Alan and I already did our donation, so we appreciate you all so very much in advance for any of you that do want to donate.

Alan Lazaros

(12:44) I said this in the GoFundMe page. (12:46) I said, I don't care if it's $5 or $500. (12:49) Every little bit counts.(12:50) Thank you so much. (12:52) We really appreciate it. (12:53) If you want to donate anonymously, obviously do it, but if you don't and you just put your name, we appreciate it.(13:01) It's good to see who's contributing, so thank you. (13:03) Also, single parents during the holidays, financially, this is a way for them to have a blast for free. (13:13) We pay for the whole thing.(13:16) We book the whole venue. (13:17) Shout out to Stephanie, who's the director of Next Level Hope Foundation. (13:22) It's pretty awesome.(13:23) It's the best.

Kevin Palmieri

(13:24) All right. (13:25) Success, I guess certainty is considered success, but person A understands math and they understand numbers and they know how to measure numbers. (13:39) What advantage do they have over person B, who doesn't think of anything as any level of math equation?(13:47) So that was me. (13:48) I was person B for sure in the beginning. (13:51) Person B has no idea what to do and what not to do.(13:58) And then they don't know, say they do something and it gets a good result, do they know, they don't know why they did it in the first place or why it got the result?

Alan Lazaros

(14:09) This is a great conversation and I'm going to send the team a screenshot of something called the Map of Mathematics. (14:22) There's a YouTube video that goes with it that I sent to all my clients once and I said, if anyone's wondering why I'm weird, this video shows why. (14:34) And it talks about all the different modalities of mathematics, everything from geometry and trigonometry to constraint theory, chaos theory, game theory.(14:48) It's a way of thinking. (14:50) And if you have found Google or AI or ChatGPT, which are the same things, but Google uses AI now and what's it called? (15:00) Gemini?(15:01) Gemini for Google and then ChatGPT and then there's A-L-E-X-A, we have an AI on that now too that you can pay for. (15:08) It's actually pretty amazing for learning. (15:11) But all of those are built in mathematics.(15:16) Why is AI so scary? (15:18) Because it can calculate everything. (15:21) Human beings can too.(15:23) So if you don't know math though, you kind of can't. (15:27) And this is why data is so important. (15:28) So if you were to start a podcast tomorrow, you could calculate the probability of having a thousand listens within the first month.(15:40) And you also know how to get more listens. (15:45) And the reason why you know that is because you've got a lot of trial and error that you've stacked up over the last nine years of what works and what doesn't work. (15:54) And you also have dug into with me why it works and why it doesn't work.(15:59) So weight training, for example, if you lift more and more percent weight at the gym, you will build more and more and more percent muscle. (16:12) So when you see here body comp, it's body fat percentage, muscle mass, bone mass. (16:19) And everyone who wants to look good at the beach, you basically can't if you don't understand mathematics unless you wing it.(16:25) The problem is the people who wing it actually are doing math. (16:28) They just don't know they are. (16:29) So you used to be in shape.(16:31) You were doing math. (16:32) You were calculating, okay, this work, this not work. (16:34) And I know I just made you sound really dumb there.(16:36) But one of the things that's really challenging is life is more like a chess game that's got infinite pieces. (16:47) So a computer, an AI can beat a human being at chess every single time because it can calculate every possibility of every move and then pick the most optimal move. (16:57) Success is the same thing, but there's not 34 pieces, there's infinite pieces.(17:02) Like everyone right now watching or listening, the next move you make could be anything in the world. (17:10) You could go for a walk, you could go for a run, you could go to the gym, you could read a book, you could drink coffee, you could talk to your spouse, you could go on the internet, you could do... (17:20) One of the reasons why I think people are so lost nowadays is because there's too many options.(17:26) And if you can't calculate what options are bad for you and what options are good for you based on your goals, you're basically going to just fall down the rabbit hole of all the horrible things that are pleasurable but awful for you. (17:38) And you won't be successful and you won't be fulfilled.

Kevin Palmieri

(17:40) I was tracking calories before if it fits your macros was a thing, first of all. (17:44) So put some respect on my name, first of all.

Alan Lazaros

(17:46) There's math. (17:46) There's math. (17:48) Yeah, you called it the law of thermodynamics.(17:50) The law of thermodynamics, yes. (17:52) Calories in versus calories out.

Kevin Palmieri

(17:53) Calories in versus calories out.

Alan Lazaros

(17:54) Where did you get said scientific understanding?

Kevin Palmieri

(17:58) I studied to be a National Academy of Sports Medicine personal trainer. (18:05) And that's where I learned about it. (18:08) All right.

Alan Lazaros

(18:09) So if everyone out there wants to be more successful, how do they use math to do it?

Kevin Palmieri

(18:17) That's a really challenging question because it depends. (18:21) I don't know. (18:22) I wouldn't have as good of an answer as you because for me, I use it every day for a million things.(18:27) This client wants this thing. (18:29) How much extra do we have to charge to actually make sure we don't go out of business? (18:33) How long is that going to take?(18:34) How long per episode? (18:37) I need to multiply that by four to get the monthly. (18:39) Okay, let's figure that out.(18:41) I just think it'll give you more certainty. (18:44) That's one. (18:45) And two, it will give you more factual data.(18:50) Okay, great example. (18:54) Don't do this, but imagine you do. (18:56) Next time you're driving down the street, don't look at your speedometer and try to figure out how fast you're going.(19:00) And you're literally going to say, I feel like I'm going blank speed. (19:03) Then look, and you're most likely not going to be right because you're going by feelings, not facts. (19:08) Speedometer is a fact.(19:10) It's saying this is how fast you're going. (19:12) I feel like having the numbers in your own life are very similar. (19:17) We were looking at a spreadsheet today, and the numbers have given me a lot of certainty that even though I feel like we are terrible and we're doing terrible, we're actually doing pretty darn good, all things considered.(19:29) I would never know that if I only went by feeling. (19:33) That. (19:33) I think math allows you to override feelings with actual logical data that proves otherwise.(19:42) Now, that's what Allen's saying about the odds of being in a plane crash or the odds of being attacked by a shark, all that. (19:48) That doesn't really land with me because those are more experiences, but like- It doesn't help. (19:53) It's got to help.(19:54) No, because I think I'm the one. (19:57) I'm just that unlucky where- That's the most irrational shit I've ever heard in my life.

Alan Lazaros

(19:59) Where George the Great White is looking for a- By that rationale, do you think you can win the lottery tomorrow by getting a lottery ticket? (20:05) Definitely not, no. (20:07) Just the bad stuff.(20:08) It's the same idea, it's the same concept, right? (20:09) I know, but just the bad stuff.

Kevin Palmieri

(20:11) Just the bad stuff. (20:12) Well, that's just irrational fears.

Alan Lazaros

(20:13) I know, but I think- That's just for Big Dilla going nuts.

Kevin Palmieri

(20:15) I think so many of us, unfortunately, deal with irrational fears. (20:18) There's a lot of irrationality, and I think that's the thing about numbers and math is it allows you to actually take a real look at something and say, okay, based on this, this, this, and this. (20:28) Again, you might have the data better than I.(20:30) If you make $100,000 in the US, you are most likely in the top blank percentage. (20:37) 5%. (20:37) Whether you feel it or not, I can't speak to that.(20:40) But factually, based on data, based on math, based on probability, based on statistics, based on measurements, you're in the top 5%.

Alan Lazaros

(20:48) Yeah, 100%.

Kevin Palmieri

(20:49) I think it helps to know. (20:50) I think it helps to know. (20:51) Okay.

Alan Lazaros

(20:52) And I know we got to jump in a second, but you mentioned rationality, so I want to mention book club. (20:56) So this book by Steven Pinker, Rationality, helps you live in certainty of accurate data. (21:05) And the metaphor that I can never get away from, that I think is so powerful, and I'm realizing it'll be more powerful soon when other people experience it.(21:12) Have you ever been in a self-driving car, Kev? (21:15) Yes. (21:17) Nice.(21:17) Okay. (21:18) Yes. (21:18) And you were in a car that was driving itself?(21:20) Yes. (21:21) Okay. (21:21) Awesome.(21:22) Yeah. (21:23) Okay. (21:23) How do you think that car calculates where to go?(21:26) Math. (21:27) Exactly.

Speaker 3

(21:28) Yeah.

Alan Lazaros

(21:28) The engineers have, the cameras are picking up data and that data is taken in by the computer, the processor, and it's calculating in real time the probability that it's a bird or a car or a Mack truck or a road. (21:48) Human beings are the same way. (21:50) We're walking around and our unconscious and subconscious brain are calculating probabilities, albeit more poorly.(21:59) And if a camera is occluded in the self-driving car, it won't let you do self-driving because it has a blind spot. (22:08) It's going to drive you off into a lake. (22:12) And without mathematics, self-driving cars would be impossible.(22:16) iPhones would be impossible. (22:17) The internet would be impossible. (22:19) I watch a pretty much every day lately, or two or three every morning.(22:25) I just, I've been loving it. (22:27) And if you look at the 83 billion neurons in the human brain, it's a network. (22:33) It's very similar to the internet.(22:34) My computer right now is connected to the internet, which is connected to all the other computers, which is connected to Kevin's computer, which is why we can do this virtually. (22:43) And I've now realized as a computer engineer, I know how all that works. (22:46) And I don't want to say 100%, but like pretty well.(22:49) And I now realize other people just like use computers, but they don't really know. (22:53) And I know that that comes off condescending.

Kevin Palmieri

(22:55) No, because I, Bluetooth blows my fucking mind. (22:59) The music just goes from here to here, plays fucking. (23:04) I did, Tara and I are looking for new places to live.(23:08) And I pulled up and I was like, how do I screen share on my Mac to my TV? (23:12) There's got to be a way. (23:13) You just press a button and it happens.(23:16) Boom. (23:16) Airplane. (23:16) It's a miracle.

Alan Lazaros

(23:21) So Bluetooth is a signal that carries data. (23:25) And then your monitor, your computer, your Mac is interpreting that data. (23:29) Some would say signal.(23:30) Other people would say are just LEDs.

Kevin Palmieri

(23:33) Other people would say miracles, you know, just, just mind blowing this.

Alan Lazaros

(23:36) So when you hear 1080p, that's 1080 pixels.

Kevin Palmieri

(23:39) Yes.

Alan Lazaros

(23:40) It means that there's 1080 little LEDs that flash based on ones and zeros based on the data it's picking up. (23:47) So when you're watching a movie, you're not actually watching a movie. (23:50) You're watching a bunch of flashing lights that look like a movie to simulate a movie.(23:54) So anyways, we're not going to get too down the rabbit hole of all that, but what I do know is if you don't know math, there is no possibility that you learning math will not help you be more successful. (24:09) The most successful people on planet earth know mathematics. (24:13) That I'm certain of.(24:15) That is a mathematical certainty. (24:17) Now there are some exceptions. (24:19) Exceptions.(24:20) There are some exceptions, but the majority of success comes down to those who can think longterm and reverse engineer outcomes in advance. (24:32) All game makers, all iPhone builders, all engineers. (24:36) Like imagine if we took away engineers, you take away mathematics, you take away engineers, you take away engineers, you take away the internet, you take away phones, you take away self-driving cars, you take away cars, you take away planes, you take away everything.(24:48) So engineers know how the world works and, and you need to know too, so that you can build and design a great life.

Kevin Palmieri

(24:59) I concur. (25:00) In the beginning, when Alan and I were prepping for this, we said, what's the takeaway? (25:03) What do we do?(25:04) How do we, how do we add value outside of the conversation? (25:06) And one of the things I did, I asked Alan, I said, Hey, I want to learn math. (25:10) I want to learn more about math.(25:11) What do I do? (25:12) And I went on YouTube and there's a bunch of, some of the best colleges on the planet just have free courses on YouTube. (25:21) And you can literally, I went to MIT.(25:23) That was probably, you know, please don't take that out of context. (25:27) I went to the MIT YouTube channel. (25:29) I did not go to MIT personally, obviously.

Alan Lazaros

(25:32) You were learning Laplace and Fourier transforms. (25:35) And I was like, brother, I think you might want to start down towards algebra one.

Kevin Palmieri

(25:40) But just like, just like you want to learn anything else. (25:43) You want to learn how to plant a tomato, go on YouTube and find out how to plant it. (25:46) Somebody has done it and they were going to teach you how to do it.(25:49) Math is the same thing. (25:50) You're just going to make sure you start where you're, where you're ready to learn from. (25:53) Love it.(25:53) You dig it? (25:54) The best, the best. (25:55) Cool.(25:56) Math. (25:57) All right. (25:57) As always, we love you.(25:58) We appreciate you. (25:59) Grateful for each and every one of you. (26:01) And if you are as committed as you say you are to getting to the next level, make sure you tune in tomorrow because we will be here every single day to help you get there.(26:08) Keep reaching for your full potential.

Alan Lazaros

(26:10) Next Level Nation.

Kevin Palmieri

(26:12) Thanks for joining us for another episode of Next Level University. (26:16) We love connecting with the Next Level family.

Alan Lazaros

(26:19) We mean it when we say family. (26:21) If you ever need anything, please reach out to us directly. (26:24) Everything you need to get a hold of us is in the show notes.(26:27) Thank you again.

Kevin Palmieri

(26:28) And we will talk to you tomorrow.