Podcasts about Macro

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! ✅Check out Rebel Capitalist Pro with Chris MacIntosh, Lyn Alden. #Rebelcapitalist #georgegammon #macroaddict #rebelcapitalistpro

MacroVoices Erik Townsend and Patrick Ceresna welcome back Rosenberg Research Founder, David Rosenberg. They discuss Rosie's two strongest conviction trades are long duration and long gold and whether the bear market is over in stocks and much more. https://bit.ly/3uEMvOg   Rosenberg Research Free Trial ✅SPECIAL WEBINAR - Register For FREE!: https://www.bigpicturetrading.com/hedge Check out Energy Transition Crisis on YouTube: https://www.youtube.com/@EnergyTransitionCrisis1 Download Big Picture Trading Chartbook

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

Andy Constan, founder, CEO and Chief Investment Officer of Damped Spring, joins DoubleLine's Jeffrey Sherman and Samuel Lau to discuss his approach to macroeconomics-driven investing. They also discuss, among other timely topics, Mr. Constan's outlook for persistent inflation above the ... Read More

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LAST DAY FOR 90% OFF ALL COURSES!Money Psychology:     - Info: https://bit.ly/3sHs4zw     - Checkout: https://bit.ly/47kwGea     - 2 payments of $99: https://bit.ly/46la102 Macro & Stock market:     - Info: https://bit.ly/3MScGHE     - Checkout: https://bit.ly/47j39S9    - 2 payments of $99: https://bit.ly/3SIDxcR BUNDLE! BOTH COURSES! https://bit.ly/3uuWntJRent To Rent (UK Property Training HMOs):     - Info: https://bit.ly/3PWm5P5     - Checkout: https://bit.ly/3sMw6Xl    - 2 payments of $99: https://bit.ly/3MQ9VXdServiced Accommodation: (UK Property Training AirBnB):     - Info: https://bit.ly/3QeEaco     - Checkout: https://bit.ly/47lMxch    - 2 payments of $99: https://bit.ly/47BCkZ2Deal Sourcing: (UK Property Training Lease Options & Deal Packaging):     - Info: https://bit.ly/3MMlSx9    - Checkout: https://bit.ly/46mGNO0    - 2 payments of $99: https://bit.ly/3R6WYLiBundles    - 2x Finance Courses: https://bit.ly/3uuWntJ    - 3x UK Property Courses: https://bit.ly/47hizq3    - 2x Finance & 3x UK Property: https://bit.ly/3SNPRIDDISCLAIMERThis video is for entertainment purposes ONLY & designed to help your thinking, not direct it. These videos shall NOT be construed as tax, legal or financial advice and may be outdated or inaccurate; all decisions made as a result of viewing are yours alone. Scammers: There are scammers who have cloned my YouTube account (and pretend to be me) talking to you in the comments. I will never provide you with a Telegram/WhatsApp number - this is a scammer, DO NOT reply & simply report them to YT. I accept no responsibility for any losses due to you being scammed. Always look for the tick next to my name! If in doubt, click the profile and it will confirm your suspicions when it takes you to a fake page.Sponsorships: Neil McCoy-Ward may earn an affiliate commission or referral bonus from any product or service listed or discussed.Trading/Liability: Neil McCoy-Ward operates/trades under a private Ltd company within the Isle Of Man.Support the show

Mama,After I had my three kiddos, I set a goal, like most postpartum mamas, to get my body back. It was a long journey, but not only did I get my body back, but I also pushed it further than I ever had before. I even competed in a body-building competition and was told countless times how amazing I looked. The problem was that underneath it all, I still wasn't happy with my body.‌For generations, women have been unhappy with their bodies. It doesn't matter if we're skinny or fat, we're constantly told that our bodies aren't good enough. And we repeat that back to ourselves. No matter how much weight we lose, or how skinny we look, it's never enough.‌And it took me losing a ton of weight, constantly pushing myself in the gym, and tracking every gram of food that I put in my mouth before I realized that being healthy isn't about the food. It's not about the gym. It's not about being skinny. It's not about the number on the scale.‌Women are frustrated with themselves and with diet culture because they don't realize that being healthy is about happiness. It's about how we look at ourselves and how we talk about ourselves. And no number on the scale can give us that.Food and exercise aren't the biggest factors in healthWhen I was preparing for my body-building competition, I was meticulous about what I ate and how much time I spent in the gym.‌And from the outside everyone assumed I was the healthiest I had ever been. I was super ripped. I had an amazing six-pack. I had big, lean biceps. I looked like I had it all, but I was probably the most unhealthy that I had ever been.‌I was so consumed by my food and workouts that it led to really unhealthy behaviors. I would have huge binge sessions, where I'd spend $100+ on fast food, eat it all and then hide the wrappers so no one would know.‌After the competition, I was supposed to start working my way up into eating more food, but I didn't want to because I was so focused on how I looked. I couldn't give up the abs I'd worked so hard for. I needed them to prove that I was good enough. That I was strong enough. That I deserved to be in the weight loss industry at all.‌When I started dodging calls and texts from my coach because I didn't want her to know what I was going through, it hit me that I was headed down a dangerous path.‌Maybe you haven't been through a body-building competition, but I bet you can still relate to my story.‌Maybe you've set a goal to lose weight, but it was hard and when things got too hard, you went to food to make yourself feel better. But you didn't tell anyone. You hid the evidence so no one could be disappointed in you.‌Maybe you dodged the question from your family or friends about how your diet was going.‌Traditional diets focus so much on food and exercise. They tell us that we have to burn more and more calories so that we can lose weight. And we keep trying and keep trying, but it's not working!It's not working because that's not what it takes to be healthy.‌That's not even helpful advice if you want to be thinner!‌Your body has one main focus: to keep you alive.‌It doesn't care if you want to weigh 135 pounds. If it feels like it's not safe it will hold onto every ounce of food you give it to sustain life. And if you've been dieting for years, then cutting calories isn't going to do it anymore.‌Your body needs to know that it's safe and you can show it that it's safe by giving it a consistent amount of food.‌That might mean moving out of a calorie deficit. That might mean not restricting during the week and binging on the weekends. I don't know what that means for you, yet.‌But I do know how to help get you and your body out of stress mode and into safe mode so that you can eat more, and still lose weight.‌There's a way to balance your food so that your body recognizes that it's safe to start burning fat again. And I want to help you with that because it's a really important part of your health, but it's only half of the solution to weight loss.Loving yourself and your body unlocks fat lossIt took me a while after my body-building competition to realize that even though my abs were awesome, they didn't define my worth and I was just as good of a person with or without them.‌This realization didn't happen overnight. It came through a lot of mindset work.‌When I dove into weight loss, I thought if I just found the right diet I could do it. With my athletic background, that was true. I knew how to push myself to achieve success. But even when I hit the perfect physique or the number on the scale I'd been pursuing for years, I discovered that's not what I was actually looking for.‌I was looking for acceptance and love from myself. But that doesn't come through dieting or even reaching a goal.‌Self-love and acceptance come from changing how you think and feel about yourself along the way - not just when you get there.‌When I added in mindset work it unlocked the results I was looking for!‌I'm no longer at the same weight, muscle mass or fat percentage as I was when I was body building, but I'm so much happier.‌Instead of fighting my body for a number on the scale, I know what weight feels good for me. If I want to shed a few pounds, for a trip or a photoshoot, I have strategies to help me to do that.‌And I have strategies that help me process days where the scale goes up a little (like when I'm leading up to my period, or on a day I over ate a little bit.)‌But having the knowledge and mindset tools I teach inside my Macros Made Easy Program, helps me remember what's most important to me, me! And it's not a number on the scale.‌Mama, if you've been on a weight loss journey and you feel like no matter what you do, you'll never reach your goals or feel comfortable in your skin, then I want you to reevaluate your goals. Is the number on the scale the most important thing or is loving yourself more important to you?‌If loving yourself is your true goal, then we need to work on your mindset while helping you develop healthy eating habits. I offer a free Healthy Mama Blueprint call to anyone who wants to learn how to combine macros and mindset to achieve their goals, and I think it would be a good fit for you. Schedule a call if you want to love yourself more, eat more and still lose weight!Schedule a free Healthy Mama Blueprint Call Here: http://bit.ly/DiscoverySessionKmoreHave a question? Email me here: Krista@KmoreMacro.comFollow me on IG: @kmoremacroJoin my Busy Mom Simple Nutrition FREE Fb group:https://www.facebook.com/groups/BusyMomSimpleNutritionLove Free Resources Go Here: https://theunraveledmama.com/resources

"DMM in the macro, [focuses on the big picture and] recognizes the scope of what it takes to catalyze Disciple-Making Movements, is much bigger than what one person can do with their time. Macro-DMM thinking focuses on Systems, Processes and Developing Leaders." In it's greatest expression, Macro-DMM acts like a brain: balancing the strengths, commitment levels and vision of where we are going--the effect of this is that we can move together as a unified body, the Body of Christ.   "DMM in the micro's focus is, what does me and my team need to do each day to make disciples, that WILL in turn make more disciples?" At it's best, Micro-focused DMM gives us momentum, step-by-step progress to achieving our big vision.   In today's podcast, we cover the following: What are the 5 different levels of a leader, and how does thinking Macro/Micro help you progress through these levels? How to set yourself up for strategic planning by categorizing your efforts into Micro/Macro Disciple Making.  How the body of Christ can assume their role and work together to have a unified effect on neighborhood, city and country alike.

In this conversation, the ReSolve team is joined by Joe Kelly from Campbell and Company to delve into the world of quantitative investing, managed futures, and derivatives trading. They explore a wide range of topics, including:Topics Discussed• The history and evolution of the hedge fund industry and the growth of systematic investing• The role of derivatives traders in providing liquidity to executives and the creation of a startup to provide liquidity for tech employees• The dynamics of quantitative investing, the importance of systemizing fundamental ideas, and the challenges of explaining complex financial concepts to a non-technical audience• The development and implementation of different models and strategies in quantitative investing, including momentum, quant macro, and short-term• The performance of different strategies during various market conditions and the importance of adaptability• The challenges of scaling in the systematic investing space and the advantages of focusing on a core universe of markets• The trade-off between diversification and control in portfolio construction• The importance of risk management in maintaining a consistent investor experience and the strategies used to manage risk in systematic investingConclusionThis conversation is a must-listen for anyone interested in quantitative investing, managed futures, and derivatives trading. It provides valuable insights into the intricacies of these fields, the strategies used by successful investors, and the importance of risk management in ensuring a consistent investor experience.

Amazon (AMZN) and other e-commerce stocks rose Monday on reports of strong consumer spending for Black Friday and the start of the holiday shopping season. Online shoppers spent a record $9.8 billion on Black Friday, according to Adobe Analytics. That surpassed the company's forecasts of $9.6 billion and marked a 7.5% increase from last year.~This episode is sponsored by iTrust Capital~iTrustCapital | Get $100 Funding Reward + No Monthly Fees when you sign up using our custom link! ➜ https://bit.ly/iTrustPaul00:00 Intro00:24 sponsor: iTrust Capital01:06 Black Friday Madness04:02 Bank closures05:18 Gold hits 6-month high07:30 ETF updates10:24 Cathie Wood selling $GBTC12:11 Binance update13:20 Brian Armstrong speaks on Binance15:38 USDC x SBI Holdings19:25 Outro#Crypto #bitcoin #Ethereum~Market Bull-Run Confirmed?

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

✅Come To Rebel Capitalist Live In Orlando May 31- June 2! https://rebelcapitalistlive.com/✅Check out my private, online investment community (Rebel Capitalist Pro) with Chris MacIntosh, Lyn Alden and many more for $1!! click here https://georgegammon.com/pro✅Rebel capitalist merchandise https://www.rebelcapitaliststore.com

After last week's quiet backdrop due to the US Thanksgiving holiday this week will drum up more energy with important inflation reports from the US, Eurozone, and Australia which will be important for the direction of the USD that have found itself increasingly in negative momentum. China has had so many false starts this year and this week we will get another PMI report that will show whether the recent stimulus actions by the Chinese government is moving economic activity. Finally, we talk about the USDJPY which seems to have reached a top and this narrative could be bolstered on a weaker than expected USD inflation report, with Charu Chanana and Peter Garnry. Read daily in-depth market updates from the Saxo Market Call and SaxoStrats Market Strategy Team here. Click here to open an account with Saxo

A conversation with Tim Hwang about historical simulations, the interaction of policy and science, analogies between research ecosystems and the economy, and so much more.  Topics Historical Simulations Macroscience Macro-metrics for science Long science The interaction between science and policy Creative destruction in research “Regulation” for scientific markets Indicators for the health of a field or science as a whole “Metabolism of Science” Science rotation programs Clock speeds of Regulation vs Clock Speeds of Technology References Macroscience Substack Ada Palmer's Papal Simulation Think Tank Tycoon Universal Paperclips (Paperclip maximizer html game) Pitt Rivers Museum   Transcript [00:02:02] Ben: Wait, so tell me more about the historical LARP that you're doing. Oh, [00:02:07] Tim: yeah. So this comes from like something I've been thinking about for a really long time, which is You know in high school, I did model UN and model Congress, and you know, I really I actually, this is still on my to do list is to like look into the back history of like what it was in American history, where we're like, this is going to become an extracurricular, we're going to model the UN, like it has all the vibe of like, after World War II, the UN is a new thing, we got to teach kids about international institutions. Anyways, like, it started as a joke where I was telling my [00:02:35] friend, like, we should have, like, model administrative agency. You know, you should, like, kids should do, like, model EPA. Like, we're gonna do a rulemaking. Kids need to submit. And, like, you know, there'll be Chevron deference and you can challenge the rule. And, like, to do that whole thing. Anyways, it kind of led me down this idea that, like, our, our notion of simulation, particularly for institutions, is, like, Interestingly narrow, right? And particularly when it comes to historical simulation, where like, well we have civil war reenactors, they're kind of like a weird dying breed, but they're there, right? But we don't have like other types of historical reenactments, but like, it might be really valuable and interesting to create communities around that. And so like I was saying before we started recording, is I really want to do one that's a simulation of the Cuban Missile Crisis. But like a serious, like you would like a historical reenactment, right? Yeah. Yeah. It's like everybody would really know their characters. You know, if you're McNamara, you really know what your motivations are and your background. And literally a dream would be a weekend simulation where you have three teams. One would be the Kennedy administration. The other would be, you know, Khrushchev [00:03:35] and the Presidium. And the final one would be the, the Cuban government. Yeah. And to really just blow by blow, simulate that entire thing. You know, the players would attempt to not blow up the world, would be the idea. [00:03:46] Ben: I guess that's actually the thing to poke, in contrast to Civil War reenactment. Sure, like you know how [00:03:51] Tim: that's gonna end. Right, [00:03:52] Ben: and it, I think it, that's the difference maybe between, in my head, a simulation and a reenactment, where I could imagine a simulation going [00:04:01] Tim: differently. Sure, right. [00:04:03] Ben: Right, and, and maybe like, is the goal to make sure the same thing happened that did happen, or is the goal to like, act? faithfully to [00:04:14] Tim: the character as possible. Yeah, I think that's right, and I think both are interesting and valuable, right? But I think one of the things I'm really interested in is, you know, I want to simulate all the characters, but like, I think one of the most interesting things reading, like, the historical record is just, like, operating under deep uncertainty about what's even going on, right? Like, for a period of time, the American [00:04:35] government is not even sure what's going on in Cuba, and, like, you know, this whole question of, like, well, do we preemptively bomb Cuba? Do we, we don't even know if the, like, the warheads on the island are active. And I think I would want to create, like, similar uncertainty, because I think that's where, like, that's where the strategic vision comes in, right? That, like, you have the full pressure of, like, Maybe there's bombs on the island. Maybe there's not even bombs on the island, right? And kind of like creating that dynamic. And so I think simulation is where there's a lot, but I think Even reenactment for some of these things is sort of interesting. Like, that we talk a lot about, like, oh, the Cuban Missile Crisis. Or like, the other joke I had was like, we should do the Manhattan Project, but the Manhattan Project as, like, historical reenactment, right? And it's kind of like, you know, we have these, like, very, like off the cuff or kind of, like, stereotype visions of how these historical events occur. And they're very stylized. Yeah, exactly, right. And so the benefit of a reenactment that is really in detail Yeah. is like, oh yeah, there's this one weird moment. You know, like that, that ends up being really revealing historical examples. And so even if [00:05:35] you can't change the outcome, I think there's also a lot of value in just doing the exercise. Yeah. Yeah. The, the thought of [00:05:40] Ben: in order to drive towards this outcome that I know. Actually happened I wouldn't as the character have needed to do X. That's right That's like weird nuanced unintuitive thing, [00:05:50] Tim: right? Right and there's something I think about even building into the game Right, which is at the very beginning the Russians team can make the decision on whether or not they've even actually deployed weapons into the cube at all, yeah, right and so like I love that kind of outcome right which is basically like And I think that's great because like, a lot of this happens on the background of like, we know the history. Yeah. Right? And so I think like, having the team, the US team put under some pressure of uncertainty. Yeah. About like, oh yeah, they could have made the decision at the very beginning of this game that this is all a bluff. Doesn't mean anything. Like it's potentially really interesting and powerful, so. [00:06:22] Ben: One precedent I know for this completely different historical era, but there's a historian, Ada Palmer, who runs [00:06:30] Tim: a simulation of a people election in her class every year. That's so good. [00:06:35] And [00:06:36] Ben: it's, there, you know, like, it is not a simulation. [00:06:40] Tim: Or, [00:06:41] Ben: sorry, excuse me, it is not a reenactment. In the sense that the outcome is indeterminate. [00:06:47] Tim: Like, the students [00:06:48] Ben: can determine the outcome. But... What tends to happen is like structural factors emerge in the sense that there's always a war. Huh. The question is who's on which sides of the war? Right, right. And what do the outcomes of the war actually entail? That's right. Who [00:07:05] Tim: dies? Yeah, yeah. And I [00:07:07] Ben: find that that's it's sort of Gets at the heart of the, the great [00:07:12] Tim: man theory versus the structural forces theory. That's right. Yeah. Like how much can these like structural forces actually be changed? Yeah. And I think that's one of the most interesting parts of the design that I'm thinking about right now is kind of like, what are the things that you want to randomize to impose different types of like structural factors that could have been in that event? Right? Yeah. So like one of the really big parts of the debate at XCOM in the [00:07:35] early phases of the Cuban Missile Crisis is You know, McNamara, who's like, right, he runs the Department of Defense at the time. His point is basically like, look, whether or not you have bombs in Cuba or you have bombs like in Russia, the situation has not changed from a military standpoint. Like you can fire an ICBM. It has exactly the same implications for the U. S. And so his, his basically his argument in the opening phases of the Cuban Missile Crisis is. Yeah. Which is actually pretty interesting, right? Because that's true. But like, Kennedy can't just go to the American people and say, well, we've already had missiles pointed at us. Some more missiles off, you know, the coast of Florida is not going to make a difference. Yeah. And so like that deep politics, and particularly the politics of the Kennedy administration being seen as like weak on communism. Yeah. Is like a huge pressure on all the activity that's going on. And so it's almost kind of interesting thinking about the Cuban Missile Crisis, not as like You know us about to blow up the world because of a truly strategic situation but more because of like the local politics make it so difficult to create like You know situations where both sides can back down [00:08:35] successfully. Basically. Yeah [00:08:36] Ben: The the one other thing that my mind goes to actually to your point about it model UN in schools. Huh, right is Okay, what if? You use this as a pilot, and then you get people to do these [00:08:49] Tim: simulations at [00:08:50] Ben: scale. Huh. And that's actually how we start doing historical counterfactuals. Huh. Where you look at, okay, you know, a thousand schools all did a simulation of the Cuban Missile Crisis. In those, you know, 700 of them blew [00:09:05] Tim: up the world. Right, right. [00:09:07] Ben: And it's, it actually, I think it's, That's the closest [00:09:10] Tim: thing you can get to like running the tape again. Yeah. I think that's right. And yeah, so I think it's, I think it's a really underused medium in a lot of ways. And I think particularly as like you know, we just talk, talk like pedagogically, like it's interesting that like, it seems to me that there was a moment in American pedagogical history where like, this is a good way of teaching kids. Like, different types of institutions. And like, but it [00:09:35] hasn't really matured since that point, right? Of course, we live in all sorts of interesting institutions now. And, and under all sorts of different systems that we might really want to simulate. Yeah. And so, yeah, this kind of, at least a whole idea that there's lots of things you could teach if you, we like kind of opened up this way of kind of like, Thinking about kind of like educating for about institutions. Right? So [00:09:54] Ben: that is so cool. Yeah, I'm going to completely, [00:09:59] Tim: Change. Sure. Of course. [00:10:01] Ben: So I guess. And the answer could be no, but is, is there connections between this and your sort of newly launched macroscience [00:10:10] Tim: project? There is and there isn't. Yeah, you know, I think like the whole bid of macroscience which is this project that I'm doing as part of my IFP fellowship. Yeah. Is really the notion that like, okay, we have all these sort of like interesting results that have come out of metascience. That kind of give us like, kind of like the beginnings of a shape of like, okay, this is how science might work and how we might like get progress to happen. And you know, we've got [00:10:35] like a bunch of really compelling hypotheses. Yeah. And I guess my bit has been like, I kind of look at that and I squint and I'm like, we're, we're actually like kind of in the early days of like macro econ, but for science, right? Which is like, okay, well now we have some sense of like the dynamics of how the science thing works. What are the levers that we can start, like, pushing and pulling, and like, what are the dials we could be turning up and turning down? And, and, you know, I think there is this kind of transition that happens in macro econ, which is like, we have these interesting results and hypotheses, but there's almost another... Generation of work that needs to happen into being like, oh, you know, we're gonna have this thing called the interest rate Yeah, and then we have all these ways of manipulating the money supply and like this is a good way of managing like this economy Yeah, right and and I think that's what I'm chasing after with this kind of like sub stack but hopefully the idea is to build it up into like a more coherent kind of framework of ideas about like How do we make science policy work in a way that's better than just like more science now quicker, please? Yeah, right, which is I think we're like [00:11:35] we're very much at at the moment. Yeah, and in particular I'm really interested in the idea of chasing after science almost as like a Dynamic system, right? Which is that like the policy levers that you have You would want to, you know, tune up and tune down, strategically, at certain times, right? And just like the way we think about managing the economy, right? Where you're like, you don't want the economy to overheat. You don't want it to be moving too slow either, right? Like, I am interested in kind of like, those types of dynamics that need to be managed in science writ large. And so that's, that's kind of the intuition of the project. [00:12:04] Ben: Cool. I guess, like, looking at macro, how did we even decide, macro econ, [00:12:14] Tim: how did we even decide that the things that we're measuring are the right things to measure? Right? Like, [00:12:21] Ben: isn't it, it's like kind of a historical contingency that, you know, it's like we care about GDP [00:12:27] Tim: and the interest rate. Yeah. I think that's right. I mean in, in some ways there's a triumph of like. It's a normative triumph, [00:12:35] right, I think is the argument. And you know, I think a lot of people, you hear this argument, and it'll be like, And all econ is made up. But like, I don't actually think that like, that's the direction I'm moving in. It's like, it's true. Like, a lot of the things that we selected are arguably arbitrary. Yeah. Right, like we said, okay, we really value GDP because it's like a very imperfect but rough measure of like the economy, right? Yeah. Or like, oh, we focus on, you know, the money supply, right? And I think there's kind of two interesting things that come out of that. One of them is like, There's this normative question of like, okay, what are the building blocks that we think can really shift the financial economy writ large, right, of which money supply makes sense, right? But then the other one I think which is so interesting is like, there's a need to actually build all these institutions. that actually give you the lever to pull in the first place, right? Like, without a federal reserve, it becomes really hard to do monetary policy. Right. Right? Like, without a notion of, like, fiscal policy, it's really hard to do, like, Keynesian as, like, demand side stuff. Right. Right? And so, like, I think there's another project, which is a [00:13:35] political project, to say... Okay, can we do better than just grants? Like, can we think about this in a more, like, holistic way than simply we give money to the researchers to work on certain types of problems. And so this kind of leads to some of the stuff that I think we've talked about in the past, which is like, you know, so I'm obsessed right now with like, can we influence the time horizon of scientific institutions? Like, imagine for a moment we had a dial where we're like, On average, scientists are going to be thinking about a research agenda which is 10 years from now versus next quarter. Right. Like, and I think like there's, there's benefits and deficits to both of those settings. Yeah. But man, if I don't hope that we have a, a, a government system that allows us to kind of dial that up and dial that down as we need it. Right. Yeah. The, the, [00:14:16] Ben: perhaps, quite like, I guess a question of like where the analogy like holds and breaks down. That I, that I wonder about is, When you're talking about the interest rate for the economy, it kind of makes sense to say [00:14:35] what is the time horizon that we want financial institutions to be thinking on. That's like roughly what the interest rate is for, but it, and maybe this is, this is like, I'm too, [00:14:49] Tim: my note, like I'm too close to the macro, [00:14:51] Ben: but thinking about. The fact that you really want people doing science on like a whole spectrum of timescales. And, and like, this is a ill phrased question, [00:15:06] Tim: but like, I'm just trying to wrap my mind around it. Are you saying basically like, do uniform metrics make sense? Yeah, exactly. For [00:15:12] Ben: like timescale, I guess maybe it's just. is an aggregate thing. [00:15:16] Tim: Is that? That's right. Yeah, I think that's, that's, that's a good critique. And I think, like, again, I think there's definitely ways of taking the metaphor too far. Yeah. But I think one of the things I would say back to that is It's fine to imagine that we might not necessarily have an interest rate for all of science, right? So, like, you could imagine saying, [00:15:35] okay, for grants above a certain size, like, we want to incentivize certain types of activity. For grants below a certain size, we want different types of activity. Right, another way of slicing it is for this class of institutions, we want them to be thinking on these timescales versus those timescales. Yeah. The final one I've been thinking about is another way of slicing it is, let's abstract away institutions and just think about what is the flow of all the experiments that are occurring in a society? Yeah. And are there ways of manipulating, like, the relative timescales there, right? And that's almost like, kind of like a supply based way of looking at it, which is... All science is doing is producing experiments, which is like true macro, right? Like, I'm just like, it's almost offensively simplistic. And then I'm just saying like, okay, well then like, yeah, what are the tools that we have to actually influence that? Yeah, and I think there's lots of things you could think of. Yeah, in my mind. Yeah, absolutely. What are some, what are some that are your thinking of? Yeah, so I think like the two that I've been playing around with right now, one of them is like the idea of like, changing the flow of grants into the system. So, one of the things I wrote about in Microscience just the past week was to think [00:16:35] about, like sort of what I call long science, right? And so the notion here is that, like, if you look across the scientific economy, there's kind of this rough, like, correlation between size of grant and length of grant. Right, where so basically what it means is that like long science is synonymous with big science, right? You're gonna do a big ambitious project. Cool. You need lots and lots and lots of money Yeah and so my kind of like piece just briefly kind of argues like but we have these sort of interesting examples like the You know Like framing a heart study which are basically like low expense taking place over a long period of time and you're like We don't really have a whole lot of grants that have that Yeah. Right? And so the idea is like, could we encourage that? Like imagine if we could just increase the flow of those types of grants, that means we could incentivize more experiments that take place like at low cost over long term. Yeah. Right? Like, you know, and this kind of gets this sort of interesting question is like, okay, so what's the GDP here? Right? Like, or is that a good way of cracking some of the critical problems that we need to crack right now? Right? Yeah. And it's kind of where the normative part gets into [00:17:35] it is like, okay. So. You know, one way of looking at this is the national interest, right? We say, okay, well, we really want to win on AI. We really want to win on, like, bioengineering, right? Are there problems in that space where, like, really long term, really low cost is actually the kind of activity we want to be encouraging? The answer might be no, but I think, like, it's useful for us to have, like, that. Color in our palette of things that we could be doing Yeah. In like shaping the, the dynamics of science. Yeah. Yeah. [00:18:01] Ben: I, I mean, one of the things that I feel like is missing from the the meta science discussion Mm-Hmm. is, is even just, what are those colors? Mm-Hmm. like what, what are the, the different and almost parameters of [00:18:16] Tim: of research. Yeah. Right, right, right. And I think, I don't know, one of the things I've been thinking about, which I'm thinking about writing about at some point, right, is like this, this view is, this view is gonna piss people off in some ways, because where it ultimately goes is this idea that, like, like, the scientist or [00:18:35] science Is like a system that's subject to the government, or subject to a policy maker, or a strategist. Which like, it obviously is, right? But like, I think we have worked very hard to believe that like, The scientific market is its own independent thing, And like, that touching or messing with it is like, a not, not a thing you should do, right? But we already are. True, that's kind of my point of view, yeah exactly. I think we're in some ways like, yeah I know I've been reading a lot about Keynes, I mean it is sort of interesting that it does mirror... Like this kind of like Great Depression era economic thinking, where you're basically like the market takes care of itself, like don't intervene. In fact, intervening is like the worst possible thing you could do because you're only going to make this worse. And look, I think there's like definitely examples of like kind of like command economy science that like don't work. Yes. But like, you know, like I think most mature people who work in economics would say there's some room for like at least like Guiding the system. Right. And like keeping it like in balance is like [00:19:35] a thing that should be attempted and I think it's kind of like the, the, the argument that I'm making here. Yeah. Yeah. I [00:19:41] Ben: mean, I think that's, [00:19:42] Tim: that's like the meta meta thing. Right. Right. Is even [00:19:46] Ben: what, what level of intervention, like, like what are the ways in which you can like usefully intervene and which, and what are the things that are, that are foolish and kind of. crEate the, the, [00:20:01] Tim: Command economy. That's right. Yeah, exactly. Right. Right. And I think like, I think the way through is, is maybe in the way that I'm talking about, right? Which is like, you can imagine lots of bad things happen when you attempt to pick winners, right? Like maybe the policymaker whoever we want to think of that as like, is it the NSF or NIH or whatever? Like, you know, sitting, sitting in their government bureaucracy, right? Like, are they well positioned to make a choice about who's going to be the right solution to a problem? Maybe yes, maybe no. I think we can have a debate about that, right? But I think there's a totally reasonable position, which is they're not in it, so they're not well positioned to make that call. Yeah. [00:20:35] Right? But, are they well positioned to maybe say, like, if we gave them a dial that was like, we want researchers to be thinking about this time horizon versus that time horizon? Like, that's a control that they actually may be well positioned to inform on. Yeah. As an outsider, right? Yeah. Yeah. And some of this I think, like, I don't know, like, the piece I'm working on right now, which will be coming out probably Tuesday or Wednesday, is you know, some of this is also like encouraging creative destruction, right? Which is like, I'm really intrigued by the idea that like academic fields can get so big that they become they impede progress. Yes. Right? And so this is actually a form of like, I like, it's effectively an intellectual antitrust. Yeah. Where you're basically like, Basically, like the, the role of the scientific regulator is to basically say these fields have gotten so big that they are actively reducing our ability to have good dynamism in the marketplace of ideas. And in this case, we will, we will announce new grant policies that attempt to break this up. And I actually think that like, that is pretty spicy for a funder to do. But like actually maybe part of their role and maybe we should normalize that [00:21:35] being part of their role. Yeah. Yeah, absolutely. [00:21:37] Ben: I I'm imagining a world where There are, where this, like, sort of the macro science is as divisive as [00:21:47] Tim: macroeconomics. [00:21:48] Ben: Right? Because you have, you have your like, your, your like, hardcore free market people. Yeah. Zero government intervention. Yeah, that's right. No antitrust. No like, you know, like abolish the Fed. Right, right. All of that. Yeah, yeah. And I look forward to the day. When there's there's people who are doing the same thing for research. [00:22:06] Tim: Yeah, that's right. Yeah. Yeah when I think that's actually I mean I thought part of a lot of meta science stuff I think is this kind of like interesting tension, which is that like look politically a lot of those people in the space are Pro free market, you know, like they're they're they're liberals in the little L sense. Yeah, like at the same time Like it is true that kind of like laissez faire science Has failed because we have all these examples of like progress slowing down Right? Like, I don't know. Like, I think [00:22:35] that there is actually this interesting tension, which is like, to what degree are we okay with intervening in science to get better outcomes? Yeah. Right? Yeah. Well, as, [00:22:43] Ben: as I, I might put on my hat and say, Yeah, yeah. Maybe, maybe this is, this is me saying true as a fair science has never been tried. Huh, right. Right? Like, that, that, that may be kind of my position. Huh. But anyways, I... And I would argue that, you know, since 1945, we have been, we haven't had laissez faire [00:23:03] Tim: science. Oh, interesting. [00:23:04] Ben: Huh. Right. And so I'm, yeah, I mean, it's like, this is in [00:23:09] Tim: the same way that I think [00:23:11] Ben: a very hard job for macroeconomics is to say, well, like, do we need [00:23:15] Tim: more or less intervention? Yeah. Yeah. [00:23:17] Ben: What is the case there? I think it's the same thing where. You know, a large amount of science funding does come from the government, and the government is opinionated about what sorts of things [00:23:30] Tim: it funds. Yeah, right. Right. And you [00:23:33] Ben: can go really deep into that. [00:23:35] So, so I [00:23:35] Tim: would. Yeah, that's actually interesting. That flips it. It's basically like the current state of science. is right now over regulated, is what you'd say, right? Or, or [00:23:44] Ben: badly regulated. Huh, sure. That is the argument I would say, very concretely, is that it's badly regulated. And, you know, I might almost argue that it is... It's both over and underregulated in the sense that, well, this is, this is my, my whole theory, but like, I think that there, we need like some pockets where it's like much less regulated. Yeah. Right. Where you're, and then some pockets where you're really sort of going to be like, no. You don't get to sort of tune this to whatever your, your project, your program is. Yeah, right, right. You're gonna be working with like [00:24:19] Tim: these people to do this thing. Yeah, yeah. Yeah, and I think there actually is interesting analogies in like the, the kind of like economic regulation, economic governance world. Yeah. Where like the notion is markets generally work well, like it's a great tool. Yeah. Like let it run. [00:24:35] Right. But basically that there are certain failure states that actually require outside intervention. And I think what's kind of interesting in thinking about in like a macro scientific, if you will, context is like, what are those failure states for science? Like, and you could imagine a policy rule, which is the policymaker says, we don't intervene until we see the following signals emerging in a field or in a region. Right. And like, okay, that's, that's the trigger, right? Like we're now in recession mode, you know, like there's enough quarters of this problem of like more papers, but less results. You know, now we have to take action, right? Oh, that's cool. Yeah, yeah. That would be, that would be very interesting. And I think that's like, that's good, because I think like, we end up having to think about like, you know, and again, this is I think why this is a really exciting time, is like MetaScience has produced these really interesting results. Now we're in the mode of like, okay, well, you know, on that policymaker dashboard, Yeah. Right, like what's the meter that we're checking out to basically be like, Are we doing well? Are we doing poorly? Is this going well? Or is this going poorly? Right, like, I think that becomes the next question to like, make this something practicable Yeah. For, for [00:25:35] actual like, Right. Yeah. Yeah. One of my frustrations [00:25:38] Ben: with meta science [00:25:39] Tim: is that it, I [00:25:41] Ben: think is under theorized in the sense that people generally are doing these studies where they look at whatever data they can get. Huh. Right. As opposed to what data should we be looking at? What, what should we be looking for? Yeah. Right. Right. And so, so I would really like to have it sort of be flipped and say, okay, like this At least ideally what we would want to measure maybe there's like imperfect maybe then we find proxies for that Yeah, as opposed to just saying well, like here's what we can measure. It's a proxy for [00:26:17] Tim: okay. That's right, right Yeah, exactly. And I think a part of this is also like I mean, I think it is like Widening the Overton window, which I think like the meta science community has done a good job of is like trying to widen The Overton window of what funders are willing to do. Yeah. Or like what various existing incumbent actors are willing to [00:26:35] do. Because I think one way of getting that data is to run like interesting experiments in this space. Right? Like I think one of the things I'm really obsessed with right now is like, okay, imagine if you could change the overhead rate that universities charge on a national basis. Yeah. Right? Like, what's that do to the flow of money through science? And is that like one dial that's actually like On the shelf, right? Like, we actually have the ability to influence that if we wanted to. Like, is that something we should be running experiments against and seeing what the results are? Yeah, yeah. [00:27:00] Ben: Another would be earmarking. Like, how much money is actually earmarked [00:27:05] Tim: for different things. That's right, yeah, yeah. Like, how easy it is to move money around. That's right, yeah. I heard actually a wild story yesterday about, do you know this whole thing, what's his name? It's apparently a very wealthy donor. That has convinced the state of Washington's legislature to the UW CS department. it's like, it's written into law that there's a flow of money that goes directly to the CS department. I don't think CS departments need more money. I [00:27:35] know, I know, but it's like, this is a really, really kind of interesting, like, outcome. Yeah. Which is like a very clear case of basically just like... Direct subsidy to like, not, not just like a particular topic, but like a particular department, which I think is like interesting experiment. I don't like, I don't know what's been happening there, but yeah. Yeah. Yeah. Natural, natural experiment. [00:27:50] Ben: Totally. Has anybody written down, I assume the answer is no, but it would be very interesting if someone actually wrote down a list of sort of just all the things you [00:28:00] Tim: could possibly [00:28:00] Ben: want to pay attention to, right? Like, I mean, like. Speaking of CS, it'd be very interesting to see, like, okay, like, what fraction of the people who, like, get PhDs in an area, stay in this area, right? Like, going back to the, the [00:28:15] Tim: health of a field or something, right? Yeah, yeah. I think that's right. I, yeah. And I think that those, those types of indicators are interesting. And then I think also, I mean, in the spirit of like it being a dynamic system. Like, so a few years back I read this great bio by Sebastian Malaby called The Man Who Knew, which is, it's a bio of Alan Greenspan. So if you want to ever read, like, 800 pages about [00:28:35] Alan Greenspan, book for you. It's very good. But one of the most interesting parts about it is that, like, there's a battle when Alan Greenspan becomes head of the Fed, where basically he's, like, extremely old school. Like, what he wants to do is he literally wants to look at, like, Reams of data from like the steel industry. Yeah, because that's kind of got his start And he basically is at war with a bunch of kind of like career People at the Fed who much more rely on like statistical models for predicting the economy And I think what's really interesting is that like for a period of time actually Alan Greenspan has the edge Because he's able to realize really early on that like there's It's just changes actually in like the metabolism of the economy that mean that what it means to raise the interest rate or lower the interest rate has like very different effects than it did like 20 years ago before it got started. Yeah. And I think that's actually something that I'm also really quite interested in science is basically like When we say science, people often imagine, like, this kind of, like, amorphous blob. But, like, I think the metabolism is changing all the [00:29:35] time. And so, like, what we mean by science now means very different from, like, what we mean by science, like, even, like, 10 to 20 years ago. Yes. And, like, it also means that all of our tactics need to keep up with that change, right? And so, one of the things I'm interested in to your question about, like, has anyone compiled this list of, like, science health? Or the health of science, right? It's maybe the right way of thinking about it. is that, like, those indicators may mean very different things at different points in time, right? And so part of it is trying to understand, like, yeah, what is the state of the, what is the state of this economy of science that we're talking about? Yeah. You're kind of preaching [00:30:07] Ben: to the, to the choir. In the sense that I'm, I'm always, I'm frustrated with the level of nuance that I feel like many people who are discussing, like, science, quote, making air quotes, science and research, are, are talking about in the sense that. They very often have not actually like gone in and been part of the system. Huh, right. And I'm, I'm open to the fact that [00:30:35] you [00:30:35] Tim: don't need to have got like [00:30:36] Ben: done, been like a professional researcher to have an opinion [00:30:41] Tim: or, or come up with ideas about it. [00:30:43] Ben: Yeah. But at the same time, I feel like [00:30:46] Tim: there's, yeah, like, like, do you, do you think about that tension at all? Yeah. I think it's actually incredibly valuable. Like, I think So I think of like Death and Life of Great American Cities, right? Which is like, the, the, the really, one of the really, there's a lot of interesting things about that book. But like, one of the most interesting things is sort of the notion that like, you had a whole cabal of urban planners that had this like very specific vision about how to get cities to work right and it just turns out that like if you like are living in soho at a particular time and you like walk along the street and you like take a look at what's going on like there's always really actually super valuable things to know about yeah that like are only available because you're like at that like ultra ultra ultra ultra micro level and i do think that there's actually some potential value in there like one of the things i would love to be able to set up, like, in the community of MetaScience or whatever you want to call it, right, [00:31:35] is the idea that, like, yeah, you, you could afford to do, like, very short tours of duty, where it's, like, literally, you're just, like, spending a day in a lab, right, and, like, to have a bunch of people go through that, I think, is, like, really, really helpful and so I think, like, thinking about, like, what the rotation program for that looks like, I think would be cool, like, you, you should, you should do, like, a six month stint at the NSF just to see what it looks like. Cause I think that kind of stuff is just like, you know, well, A, I'm selfish, like I would want that, but I also think that like, it would also allow the community to like, I think be, be thinking about this in a much more applied way. Yeah. Yeah. Yeah. [00:32:08] Ben: I think it's the, the meta question there for, for everything, right? Is how much in the weeds, like, like what am I trying to say? The. It is possible both to be like two in the weeds. Yeah, right and then also like too high level Yeah, that's right. And in almost like what what is the the right amount or like? Who, who should [00:32:31] Tim: be talking to whom in that? That's right. Yeah, I mean, it's like what you were saying earlier that like the [00:32:35] success of macro science will be whether or not it's as controversial as macroeconomics. It's like, I actually hope that that's the case. It's like people being like, this is all wrong. You're approaching it like from a too high level, too abstract of a level. Yeah. I mean, I think the other benefit of doing this outside of like the level of insight is I think one of the projects that I think I have is like We need to, we need to be like defeating meta science, like a love of meta science aesthetics versus like actual like meta science, right? Like then I think like a lot of people in meta science love science. That's why they're excited to not talk about the specific science, but like science in general. But like, I think that intuition also leads us to like have very romantic ideas of like what science is and how science should look and what kinds of science that we want. Yeah. Right. The mission is progress. The mission isn't science. And so I think, like, we have to be a lot more functional. And again, I think, like, the benefit of these types of, like, rotations, like, Oh, you just are in a lab for a month. Yeah. It's like, I mean, you get a lot more of a sense of, like, Oh, okay, this is, this is what it [00:33:35] looks like. Yeah. Yeah. I'd like to do the same thing for manufacturing. Huh. Right. [00:33:39] Ben: Right. It's like, like, and I want, I want everybody to be rotating, right? Huh. Like, in the sense of, like, okay, like, have the scientists go and be, like, in a manufacturing lab. That's right. [00:33:47] Tim: Yeah. [00:33:48] Ben: And be like, okay, like, look. Like, you need to be thinking about getting this thing to work in, like, this giant, like, flow pipe instead of a [00:33:54] Tim: test tube. That's right, right. Yeah, yeah, yeah. Yeah, [00:33:57] Ben: unfortunately, the problem is that we can't all spend our time, like, if everybody was rotating through all the [00:34:03] Tim: things they need to rotate, we'd never get anything done. Yeah, exactly. [00:34:06] Ben: ANd that's, that's, that's kind of [00:34:08] Tim: the problem. Well, and to bring it all the way back, I mean, I think you started this question on macroscience in the context of transitioning away from all of this like weird Cuban Missile Crisis simulation stuff. Like, I do think one way of thinking about this is like, okay, well, if we can't literally send you into a lab, right? Like the question is like, what are good simulations to give people good intuitions about the dynamics in the space? Yeah. And I think that's, that's potentially quite interesting. Yeah. Normalized weekend long simulation. That's right. Like I love the idea of basically [00:34:35] like like you, you get to reenact the publication of a prominent scientific paper. It's like kind of a funny idea. It's just like, you know, yeah. Or, or, or even trying to [00:34:44] Ben: get research funded, right? Like, it's like, okay, like you have this idea, you want yeah. [00:34:55] Tim: I mean, yeah, this is actually a project, I mean, I've been talking to Zach Graves about this, it's like, I really want to do one which is a game that we're calling Think Tank Tycoon, which is basically like, it's a, it's a, the idea would be for it to be a strategy board game that simulates what it's like to run a research center. But I think like to broaden that idea somewhat like it's kind of interesting to think about the idea of like model NSF Yeah, where you're like you you're in you're in the hot seat you get to decide how to do granting Yeah, you know give a grant [00:35:22] Ben: a stupid thing. Yeah, some some some congressperson's gonna come banging [00:35:26] Tim: on your door Yeah, like simulating those dynamics actually might be really really helpful Yeah I mean in the very least even if it's not like a one for one simulation of the real world just to get like some [00:35:35] common intuitions about like The pressures that are operating here. I [00:35:38] Ben: think you're, the bigger point is that simulations are maybe underrated [00:35:42] Tim: as a teaching tool. I think so, yeah. Do you remember the the paperclip maximizer? Huh. The HTML game? Yeah, yeah. [00:35:48] Ben: I'm, I'm kind of obsessed with it. Huh. Because, it, you've, like, somehow the human brain, like, really quickly, with just, like, you know, some numbers on the screen. Huh. Like, just like numbers that you can change. Right, right. And some, like, back end. Dynamic system, where it's like, okay, like based on these numbers, like here are the dynamics of the [00:36:07] Tim: system, and it'll give you an update. [00:36:09] Ben: Like, you start to really get an intuition for, for system dynamics. Yeah. And so, I, I, I want to see more just like plain HTML, like basically like spreadsheet [00:36:20] Tim: backend games. Right, right, like the most lo fi possible. Yeah, I think so. Yeah. Yeah, I think it's helpful. I mean, I think, again, particularly in a world where you're thinking about, like, let's simulate these types of, like, weird new grant structures that we might try out, right? Like, you know, we've got a bunch [00:36:35] of hypotheses. It's kind of really expensive and difficult to try to get experiments done, right? Like, does a simulation with a couple people who are well informed give us some, at least, inclinations of, like, where it might go or, like, what are the unintentional consequences thereof? Yeah. [00:36:51] Ben: Disciplines besides the military that uses simulations [00:36:56] Tim: successfully. Not really. And I think what's kind of interesting is that like, I think it had a vogue that like has kind of dissipated. Yeah, I think like the notion of like a a game being the way you kind of do like understanding of a strategic situation, I think like. Has kind of disappeared, right? But like, I think a lot of it was driven, like, RAND actually had a huge influence, not just on the military. But like, there's a bunch of corporate games, right? That were like, kind of invented in the same period. Yeah. That are like, you determine how much your steel production is, right? And was like, used to teach MBAs. But yeah, I think it's, it's been like, relatively limited. Hm. [00:37:35] Yeah. It, yeah. Hm. [00:37:38] Ben: So. Other things. Huh. Like, just to, [00:37:41] Tim: to shift together. Sure, sure, go ahead. Yeah, yeah, yeah, yeah. I guess another [00:37:44] Ben: thing that we haven't really talked about, but actually sort of plays into all of this, is thinking about better [00:37:50] Tim: ways of regulating technology. [00:37:52] Ben: I know that you've done a lot of thinking about that, and maybe this is another thing to simulate. [00:38:00] Tim: Yeah, it's a model OSTP. But [00:38:04] Ben: it's maybe a thing where, this is actually like a prime example where the particulars really matter, right? Where you can't just regulate. quote unquote technology. Yeah. Right. And it's like, there's, there's some technologies that you want to regulate very, very closely and very tightly and others that you want to regulate very [00:38:21] Tim: loosely. Yeah, I think that's right. And I think that's actually, you know, I think it is tied to the kind of like macro scientific project, if you will. Right. Which is that I think we have often a notion of like science regulation being like. [00:38:35] literally the government comes in and is like, here are the kind of constraints that we want to put on the system. Right. And there's obviously like lots of different ways of doing that. And I think there's lots of contexts in which that's like appropriate. But I think for a lot of technologies that we confront right now, the change is so rapid that the obvious question always becomes, no matter what emerging technology talking about is like, how does your clock speed of regulation actually keep up with like the clock speed of technology? And the answer is frequently like. It doesn't, right? And like you run into these kind of like absurd situations where you're like, well, we have this thing, it's already out of date by the time it goes into force, everybody kind of creates some like notional compliance with that rule. Yeah. And like, in terms of improving, I don't know, safety outcomes, for instance, it like has not actually improved safety outcomes. And I think in that case, right, and I think I could actually make an argument that like, the problem is becoming more difficult with time. Right? Like, if you really believe that the pace of technological change is faster than it used to be, then it is possible that, like, there was a point at which, like, government was operating, and it could actually keep [00:39:35] pace effectively, or, like, a body like Congress could actually keep pace with society, or with technology successfully, to, like, make sure that it was conformant with, sort of, like, societal interests. Do you think that was [00:39:46] Ben: actually ever the case, or was it that we didn't, we just didn't [00:39:50] Tim: have as many regulations? I would say it was sort of twofold, right? Like, I think one of them was you had, at least, let's just talk about Congress, right? It's really hard to talk about, like, government as a whole, right? Like, I think, like, Congress was both better advised and was a more efficient institution, right? Which means it moved faster than it does today. Simultaneously, I also feel like for a couple reasons we can speculate on, right? Like, science, or in the very least, technology. Right, like move slower than it does today. Right, right. And so like actually what has happened is that both both dynamics have caused problems, right? Which is that like the organs of government are moving slower at the same time as science is moving faster And like I think we've passed some inflection [00:40:35] point now where like it seems really hard to craft You know, let's take the AI case like a sensible framework that would apply You know, in, in LLMs where like, I don't know, like I was doing a little recap of like recent interoperability research and I like took a step back and I was like, Oh, all these papers are from May, 2023. And I was like, these are all big results. This is all a big deal. Right. It's like very, very fast. Yeah. So that's kind of what I would say to that. Yeah. I don't know. Do you feel differently? You feel like Congress has never been able to keep up? Yeah. [00:41:04] Ben: Well, I. I wonder, I guess I'm almost, I'm, I'm perhaps an outlier in that I am skeptical of the claim that technology overall has sped up significantly, or the pace of technological change, the pace of software change, certainly. Sure. Right. And it's like maybe software as a, as a fraction of technology has spread up, sped up. And maybe like, this is, this is a thing where like to the point of, of regulations needing to, to. Go into particulars, [00:41:35] right? Mm-Hmm. . Right, right. Like tuning the regulation to the characteristic timescale of whatever talk [00:41:40] Tim: technology we're talking about. Mm-Hmm. , right? [00:41:42] Ben: But I don't know, but like, I feel like outside of software, if anything, technology, the pace of technological change [00:41:52] Tim: has slowed down. Mm hmm. Right. Right. Yeah. [00:41:55] Ben: This is me putting on my [00:41:57] Tim: stagnationist bias. And would, given the argument that I just made, would you say that that means that it should actually be easier than ever to regulate technology? Yeah, I get targets moving slower, right? Like, yeah, [00:42:12] Ben: yeah. Or it's the technology moving slowly because of the forms of [00:42:14] Tim: the regulator. I guess, yeah, there's like compounding variables. [00:42:16] Ben: Yeah, the easiest base case of regulating technology is saying, like, no, you can't have [00:42:20] Tim: any. Huh, right, right, right. Like, it can't change. Right, that's easy to regulate. Yeah, right, right. That's very easy to regulate. I buy that, I buy that. It's very easy to regulate well. Huh, right, right. I think that's [00:42:27] Ben: That's the question. It's like, what do we want to lock in and what don't we [00:42:31] Tim: want to lock in? Yeah, I think that's right and I think, you [00:42:35] know I guess what that moves me towards is like, I think some people, you know, will conclude the argument I'm making by saying, and so regulations are obsolete, right? Or like, oh, so we shouldn't regulate or like, let the companies take care of it. And I'm like, I think so, like, I think that that's, that's not the conclusion that I go to, right? Like part of it is like. Well, no, that just means we need, we need better ways of like regulating these systems, right? And I think they, they basically require government to kind of think about sort of like moving to different parts of the chain that they might've touched in the past. Yeah. So like, I don't know, we, Caleb and I over at IFP, we just submitted this RFI to DARPA. In part they, they were thinking about like how does DARPA play a role in dealing with like ethical considerations around emerging technologies. Yep. But the deeper point that we were making in our submission. was simply that like maybe actually science has changed in a way where like DARPA can't be the or it's harder for DARPA to be the originator of all these technologies. Yeah. So they're, they're almost, they're, they're placing the, the, the ecosystem, the [00:43:35] metabolism of technology has changed, which requires them to rethink like how they want to influence the system. Yeah. Right. And it may be more influence at the point of like. Things getting out to market, then it is things like, you know, basic research in the lab or something like that. Right. At least for some classes of technology where like a lot of it's happening in private industry, like AI. Yeah, exactly. Yeah. [00:43:55] Ben: No, I, I, I think the, the concept of, of like the metabolism of, of science and technology is like really powerful. I think in some sense it is, I'm not sure if you would, how would you map that to the idea of there being a [00:44:11] Tim: research ecosystem, right? Right. Is it, is it that there's like [00:44:17] Ben: the metabolic, this is, this is incredibly abstract. Okay. Like, is it like, I guess if you're looking at the metabolism, does, does the metabolism sort of say, we're going to ignore institutions for now and the metabolism is literally just the flow [00:44:34] Tim: of [00:44:35] like ideas and, and, and outcomes and then maybe like the ecosystem is [00:44:41] Ben: like, okay, then we like. Sort of add another layer and say there are institutions [00:44:46] Tim: that are sure interacting with this sort of like, yeah, I think like the metabolism view or, you know, you might even think about it as like a supply chain view, right? To move it away from, like, just kind of gesturing at bio for no reason, right? Is I think what's powerful about it is that, you know, particularly in foundation land, which I'm most familiar with. There's a notion of like we're going to field build and what that means is we're going to name a field and then researchers Are going to be under this tent that we call this field and then the field will exist Yeah, and then the proper critique of a lot of that stuff is like researchers are smart They just like go where the money is and they're like you want to call up like I can pretend to be nanotech for a Few years to get your money Like, that's no problem. I can do that. And so there's kind of a notion that, like, if you take the economy of science as, like, institutions at the very beginning, you actually miss the bigger [00:45:35] picture. Yes. Right? And so the metabolism view is more powerful because you literally think about, like, the movement of, like, an idea to an experiment to a practical technology to, like, something that's out in the world. Yeah. And then we basically say, how do we influence those incentives before we start talking about, like, oh, we announced some new policy that people just, like... Cosmetically align their agendas to yeah, and like if you really want to shape science It's actually maybe arguably less about like the institution and more about like Yeah, the individual. Yeah, exactly. Like I run a lab. What are my motivations? Right? And I think this is like, again, it's like micro macro, right? It's basically if we can understand that, then are there things that we could do to influence at that micro level? Yeah, right. Which is I think actually where a lot of Macro econ has moved. Right. Which is like, how do we influence like the individual firm's decisions Yeah. To get the overall aggregate change that we want in the economy. Yeah. And I think that's, that's potentially a better way of approaching it. Right. A thing that I desperately [00:46:30] Ben: want now is Uhhuh a. I'm not sure what they're, they're [00:46:35] actually called. Like the, you know, like the metal, like, like, like the [00:46:37] Tim: prep cycle. Yeah, exactly. Like, like, like the giant diagram of, of like metabolism, [00:46:43] Ben: right. I want that for, for research. Yeah, that would be incredible. Yeah. If, if only, I mean, one, I want to have it on [00:46:50] Tim: my wall and to, to just get across the idea that. [00:46:56] Ben: It is like, it's not you know, basic research, applied [00:47:01] Tim: research. Yeah, totally. Right, right, right. When it goes to like, and what I like about kind of metabolism as a way of thinking about it is that we can start thinking about like, okay, what's, what's the uptake for certain types of inputs, right? We're like, okay, you know like one, one example is like, okay, well, we want results in a field to become more searchable. Well what's really, if you want to frame that in metabolism terms, is like, what, you know, what are the carbs that go into the system that, like, the enzymes or the yeast can take up, and it's like, access to the proper results, right, and like, I think that there's, there's a nice way of flipping in it [00:47:35] that, like, starts to think about these things as, like, inputs, versus things that we do, again, because, like, we like the aesthetics of it, like, we like the aesthetics of being able to find research results instantaneously, but, like, the focus should be on, Like, okay, well, because it helps to drive, like, the next big idea that we think will be beneficial to me later on. Or like, even being [00:47:53] Ben: the question, like, is the actual blocker to the thing that you want to see, the thing that you think it is? Right. I've run into far more people than I can count who say, like, you know, we want more awesome technology in the world, therefore we are going to be working on Insert tool here that actually isn't addressing, at least my, [00:48:18] Tim: my view of why those things aren't happening. Yeah, right, right. And I think, I mean, again, like, part of the idea is we think about these as, like, frameworks for thinking about different situations in science. Yeah. Like, I actually do believe that there are certain fields because of, like, ideologically how they're set up, institutionally how [00:48:35] they're set up, funding wise how they're set up. that do resemble the block diagram you were talking about earlier, which is like, yeah, there actually is the, the basic research, like we can put, that's where the basic research happens. You could like point at a building, right? And you're like, that's where the, you know, commercialization happens. We pointed at another building, right? But I just happen to think that most science doesn't look like that. Right. And we might ask the question then, like, do we want it to resemble more of like the metabolism state than the block diagram state? Right. Like both are good. Yeah, I mean, I would [00:49:07] Ben: argue that putting them in different buildings is exactly what's causing [00:49:10] Tim: all the problems. Sure, right, exactly, yeah, yeah. Yeah. But then, again, like, then, then I think, again, this is why I think, like, the, the macro view is so powerful, at least to me, personally, is, like, we can ask the question, for what problems? Yeah. Right? Like, are there, are there situations where, like, that, that, like, very blocky way of doing it serves certain needs and certain demands? Yeah. And it's like, it's possible, like, one more argument I can make for you is, like, Progress might be [00:49:35] slower, but it's a lot more controllable. So if you are in the, you know, if you think national security is one of the most important things, you're willing to make those trade offs. But I think we just should be making those trade offs, like, much more consciously than we do. And [00:49:49] Ben: that's where politics, in the term, in the sense of, A compromise between people who have different priorities on something can actually come in where we can say, okay, like we're going to trade off, we're going to say like, okay, we're going to increase like national security a little bit, like in, in like this area to, in compromise with being able to like unblock this. [00:50:11] Tim: That's right. Yeah. And I think this is the benefit of like, you know, when I say lever, I literally mean lever, right. Which is basically like, we're in a period of time where we need this. Yeah. Right? We're willing to trade progress for security. Yeah. Okay, we're not in a period where we need this. Like, take the, take, ramp it down. Right? Like, we want science to have less of this, this kind of structure. Yeah. That's something we need to, like, have fine tuned controls over. Right? Yeah. And to be thinking about in, like, a, a comparative sense, [00:50:35] so. And, [00:50:36] Ben: to, to go [00:50:36] Tim: back to the metabolism example. Yeah, yeah. I'm really thinking about it. Yeah, yeah. [00:50:39] Ben: Is there an equivalent of macro for metabolism in the sense that like I'm thinking about like, like, is it someone's like blood, like, you know, they're like blood glucose level, [00:50:52] Tim: like obesity, right? Yeah, right. Kind of like our macro indicators for metabolism. Yeah, that's right. Right? Or like how you feel in the morning. That's right. Yeah, exactly. I'm less well versed in kind of like bio and medical, but I'm sure there is, right? Like, I mean, there is the same kind of like. Well, I study the cell. Well, I study, you know, like organisms, right? Like at different scales, which we're studying this stuff. Yeah. What's kind of interesting in the medical cases, like You know, it's like, do we have a Hippocratic, like oath for like our treatment of the science person, right? It's just like, first do no harm to the science person, you know? [00:51:32] Ben: Yeah, I mean, I wonder about that with like, [00:51:35] with research. Mm hmm. Is there, should we have more heuristics about how we're [00:51:42] Tim: Yeah, I mean, especially because I think, like, norms are so strong, right? Like, I do think that, like, one of the interesting things, this is one of the arguments I was making in the long science piece. It's like, well, in addition to funding certain types of experiments, if you proliferate the number of opportunities for these low scale projects to operate over a long period of time, there's actually a bunch of like norms that might be really good that they might foster in the scientific community. Right. Which is like you learn, like scientists learn the art of how to plan a project for 30 years. That's super important. Right. Regardless of the research results. That may be something that we want to put out into the open so there's more like your median scientist has more of those skills Yeah, right, like that's another reason that you might want to kind of like percolate this kind of behavior in the system Yeah, and so there's kind of like these emanating effects from like even one offs that I think are important to keep in mind [00:52:33] Ben: That's actually another [00:52:35] I think used for simulations. Yeah I'm just thinking like, well, it's very hard to get a tight feedback loop, right, about like whether you manage, you planned a project for 30 years [00:52:47] Tim: well, right, [00:52:48] Ben: right. But perhaps there's a better way of sort of simulating [00:52:51] Tim: that planning process. Yeah. Well, and I would love to, I mean, again, to the question that you had earlier about like what are the metrics here, right? Like I think for a lot of science metrics that we may end up on, they may have these interesting and really curious properties like we have for inflation rate. Right. We're like, the strange thing about inflation is that we, we kind of don't like, we have hypotheses for how it happens, but like, part of it is just like the psychology of the market. Yeah. Right. Like you anticipate prices will be higher next quarter. Inflation happens if enough people believe that. And part of what the Fed is doing is like, they're obviously making money harder to get to, but they're also like play acting, right? They're like. You know, trust me guys, we will continue to put pressure on the economy until you feel differently about this. And I think there's going to be some things in science that are worth [00:53:35] measuring that are like that, which is like researcher perceptions of the future state of the science economy are like things that we want to be able to influence in the space. And so one of the things that we do when we try to influence like the long termism or the short termism of science It's like, there's lots of kind of like material things we do, but ultimately the idea is like, what does that researcher in the lab think is going to happen, right? Do they think that, you know, grant funding is going to become a lot less available in the next six months or a lot more available in the next six months? Like influencing those might have huge repercussions on what happens in science. And like, yeah, like that's a tool that policymakers should have access to. Yeah. Yeah. [00:54:11] Ben: And the parallels between the. The how beliefs affect the economy, [00:54:18] Tim: and how beliefs [00:54:19] Ben: affect science, I think may also be a [00:54:21] Tim: little bit underrated. Yeah. In the sense that, [00:54:24] Ben: I, I feel like some people think that It's a fairly deterministic system where it's like, ah, yes, this idea's time has come. And like once, once all the things that are in place, like [00:54:35] once, once all, then, then it will happen. And like, [00:54:38] Tim: that is, that's like how it works. [00:54:40] Ben: Which I, I mean, I have, I wish there was more evidence to my point or to disagree with me. But like, I, I think that's, that's really not how it works. And I'm like very often. a field or, or like an idea will, like a technology will happen because people think that it's time for that technology to happen. Right. Right. Yeah. Obviously, obviously that isn't always the case. Right. Yeah. Yeah. There's, there's, there's hype [00:55:06] Tim: cycles. And I think you want, like, eventually, like. You know, if I have my druthers, right, like macro science should have like it's Chicago school, right? Which is basically like the idea arrives exactly when it should arrive. Scientists will discover it on exactly their time. And like your only role as a regulator is to ensure the stability of scientific institutions. I think actually that that is a, that's not a position I agree with, but you can craft a totally, Reasonable, coherent, coherent governance framework that's based around that concept, right? Yes. Yeah. I think [00:55:35] like [00:55:35] Ben: you'll, yes. I, I, I think like that's actually the criteria for success of meta science as a field uhhuh, because like once there's schools , then, then, then it will have made it, [00:55:46] Tim: because [00:55:47] Ben: there aren't schools right now. Mm-Hmm. , like, I, I feel , I almost feel I, I, I now want there to b

In this episode Investment Chief Investment Strategist Chris Holdsworth discusses the weak global growth outlook, as the world is yet to see the full impact of rate hikes. But inflation is on the way down and corporate margins are resilient. Investec Focus Radio SA

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It's Macro Monday with Dave Weisberger, James Lavish and Mike McGlone. James Lavish - https://twitter.com/jameslavish Mike McGlone - https://twitter.com/mikemcglone11 Davie Weisberger - https://twitter.com/daveweisberger1 ►►TRADING ALPHA READY TO TRADE LIKE THE PROS? THE BEST TRADERS IN CRYPTO ARE RELYING ON THESE INDICATORS TO MAKE TRADES. USE CODE ‘2MONTHSOFF' WHEN VISITING MY LINK. 

Welcome to Episode 173 of Dividend Talk, where Leo Nielssen join us who is a leading Author on Seeking Alpha (https://seekingalpha.com/author/leo-nelissen) We kick off with the latest financial news, consumer sentiment, and manufacturing PMIs. We also discuss Bayer and their recent order to pay $1,5 billion to 3 claimants. After some quick fire questions with Leo, we dive into Leos's story around dividend investing where we touched on topics such as macroeconomics and dividend investing, the basis of his strategy, ETFs and where are the opportunities at the moment. We finish with some listener questions along with Leos's stock pick of the week Companies mentioned, are Nvidia, Walgreens, Vici, Realty Income, Caterpillar, Apple, Public Storage You can follow Leo Nelissen on X: https://twitter.com/LeoNelissen

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Rate markets are mispricing early interest rate cuts by the Federal Reserve and the European Central Bank, Bloomberg Intelligence interest rate strategists Huw Worthington and Ira Jersey say on this Macro Matters edition of the FICC Focus podcast. They discuss their general views for government debt issuance, which part of the investor base may buy the new debt and central bank policy outlooks. Worthington also goes into detail about recent plans for fiscal stimulus going into the UK elections, which need to occur sometime in 2024.

Mama,Normally, I like to keep things positive around here. I like to give busy mamas helpful tips for leading a healthy life, but today, I want to switch things up. Today, I want to show you some of the most ridiculous pieces of advice for a healthy Thanksgiving that I've seen on the Internet. I found three things you absolutely don't need to do to have a healthy Thanksgiving Dinner!‌I will help you rework this straight-up bad advice into actual healthy advice so that you can have a healthy and fun Thanksgiving that doesn't feel restrictive!But, one quick note for you before we dive into the bad advice. It's OK if you don't want to have the healthiest Thanksgiving! It's OK to enjoy holidays - that doesn't make you unhealthy. It's just one day. Just like eating salad for one day won't make you healthy. Enjoying Thanksgiving won't make you unhealthy.‌You can enjoy all the food on Thanksgiving and still be a happy, healthy person! In fact, that's what I do! I don't track my food on Thanskgiving because I've spent so much time learning how to eat well every other day of the year! And that knowledge helps me enjoy Thanksgiving without gaining weight.‌Do you remember in high school when your English teacher would teach you a grammar rule but then show you how you could break that rule in certain cases? But when you asked her why you had to do it the “right” way, she would say, “You have to understand the rules before you can break them.”‌That's exactly what it's like to live a healthy life! You can't just go around eating whatever you want any day of the week. You have to learn what the “rules” are before you can break them. Once you understand how to nourish your body, how food and alcohol affect your body and how to get the scale to do what you want it to, then you can have fun with your food!‌Now let's get back to the bad advice - and what I recommend doing instead!Bad Advice #1: Serve mashed cauliflower or swap out unhealthy food for healthier onesMama, let's get one thing straight, you never have to eat a food you don't like in the name of health! And this applies double on Thanksgiving!‌I love a good Thanksgiving dinner swap (I have lots of great ideas if you need them) but if you don't like mashed cauliflower, don't serve it! And that goes for any “healthy” swaps.‌Instead of forcing yourself to eat food you don't like, I always recommend picking your non-negotiables and then swapping or not having food that you're not as excited about.‌For example, if your favorite food is mashed potatoes, then have them! But if you're not a fan of green bean casserole, swap that out for plain green beans or a different veggie that you like! You don't have to waste calories on foods you don't like, just because it's a tradition!‌Just because a swap is “healthier” it doesn't mean you have to use it! Instead, prioritize the foods that are important to you and swap or leave out the foods you don't care about!Bad Advice #2: Spend hours in the gym working off what you ateI am a huge fan of working out! I was a two-sport college athlete and still love going to the gym every day, but I don't do it to “work off” what I ate. I do it because it makes me feel good to move my body.‌The same idea applies on a holiday. You don't need to restrict your food before a holiday meal and you don't need to workout crazy hard to “afford” to eat Thanksgiving dinner!‌You can eat Thanksgiving dinner with or without working out on Thanskgiving day. That doesn't make you good or bad.‌Now, is it a good idea to move your body when you know that you're going to be eating more than normal? Of course! Movement is amazing for your health. But I don't want you using movement as a form of punishment or to “undo” what you're eating. Move to be healthy, not because you were “bad!”‌I like to find ways to move that are fun on a holiday. It could be going for a family walk or bike ride. It could be playing touch football with friends. Or signing your family up for the local Turkey Trot (or creating your own!)‌However, you choose to move your body, make sure it's fun for you! That's the best way to ensure you're enjoying movement instead of punishing yourself for what you're eating.Bad Advice #3: Wear restrictive clothes so you don't overeatMama, I've saved the best for last. I absolutely hate this piece of advice: wear restrictive clothes so you can't overeat. Cue the biggest eye roll. If you want to make yourself feel bad about anything you eat, then do this, but if you want to feel good in your skin and your clothes, then toss this piece of advice in the trash where it belongs!‌I never want you to feel guilt, shame or regret about your food choices. Because guilt, shame and regret don't get you to your goals! If they did, we'd all be skinny, fit, supermodels because we know how to feel bad about ourselves. Instead, I want you to freaking love who you are.‌So, Mama, please wear clothes that make you comfortable. If that means dressing up in a cute dress and putting on your favorite boots, then do it! If you prefer to wear joggers and a Thanksgiving t-shirt so you're comfortable no matter how much you eat, that's cool too!‌Instead of relying on how your clothes feel to not overeat, I want you to pay attention to your full and hunger cues. This can be difficult because most of us have trained ourselves to ignore our full and hungry cues. So I want you to start practicing this leading up to Thanksgiving.‌Grab a piece of paper and put a zero in the middle, then on either side of the zero, write each number from -10 to 10.‌You're going to assign each number a feeling or trigger of your hunger.‌Zero is going to be your neutral zone. You're not hungry, you're not full, you're just perfectly content.‌Positive 10 is going to be you're beyond stuffed. You can't even think about food or you'll burst at the seams.‌Negative 10 is going to be you're starving and you can't wait another second or you're going to eat your own arm.‌The goal is to live between two and negative two. Typically, I think of positive two as I'm satisfied and content. I've eaten enough to not be hungry but I'm not crazy full either. Negative two is where I've noticed I'm getting fairly hungry and I need to start making food.‌If I go beyond negative two, I know that I'm going to be too hungry to make smart food choices. And if I go beyond positive two I'm going to need to unbutton my pants so I don't pop. The 2 to -2 is the perfect range to enjoy my food without going overboard either way.‌When you start to feel full, you can take your plate to the sink, cover it with a napkin or just get up from the table so that you don't keep munching.‌If you apply this idea to your Thanksgiving eating you're able to enjoy your food without going too crazy and you can be comfortable in whatever you choose to wear.‌Mama, I want you to have a wonderful Thanskgiving! I hope that using some of these tips will help you focus on family and memories instead of food. Because at the end of the day, that's what Thanskgiving is about!‌If holidays like Thanksgiving get you overly focused on food or stress you out, then let's talk. I'm helping mamas learn how to be in control of their food so that they can enjoy the holidays. If this sounds like something you're interested in, schedule a free Healthy Mama Blueprint Call with me!‌If my program is a good fit for you we can get you started this week and you'll lose weight over the holidays instead of gaining - all without feeling restricted!Schedule a free Healthy Mama Blueprint Call Here: http://bit.ly/DiscoverySessionKmoreHave a question? Email me here: Krista@KmoreMacro.comFollow me on IG: @kmoremacroJoin my Busy Mom Simple Nutrition FREE Fb group:https://www.facebook.com/groups/BusyMomSimpleNutritionLove Free Resources Go Here: https://theunraveledmama.com/resources

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Macro-calculated eating is often discounted as difficult and impossible to get right. So, let's simplify it. In this episode, I explain the three different ways of eating: intuitive, mindful, and calculated macros, because to understand macros, you need to understand the rest of them. Then, I tell you how to determine your basal metabolic rate, set your macros, and how long you need to eat your macros.   How to Start Tracking Macros Get very specific on your why Get an honest analysis of your body composition Determine your long-term goal Figure out the support you need to become consistent   Your Skeletal Muscle Mass is Important There are three main approaches to nutrition. Intuitive eating, mindful eating, and calculated macros. Each has its benefits and connection to your long-term goals, but your eating strategy must align with what you're willing to do. I get a lot of questions about what the ideal body fat percentage is. This is difficult to answer concisely, as everyone's body is different. Instead of a specific percentage, I say that you're most likely in an ideal range as long as your skeletal muscle is above your body fat percentage. If your skeletal muscle mass is low, that might set you up for a lot of problems going forward. Not to mention, your Basal Metabolic Rate will be a lot lower than expected. Strength training is a great way to increase your skeletal muscle mass, even if it means initially gaining weight before losing it.   Calculating Your Macros Intuitive eating, or learning to listen to what your body wants to eat, and mindful macros tend to work best for those who already have some experience in macro calculating, though not always. It's about finding balance on your plate and going from there. Calculated macros are best for shorter-term diets or specific goals, especially weight loss or muscle gain. You need to get very specific about why you want to start eating your macros because to do this, you need to eat this way every day.  If you're just starting out calculating your macros, I recommend a 40 protein/40 fat/30 carbohydrate ratio. You also need to know your BMR. This method is about adjusting until you find a balance that works for your body and your goals. I would love to hear your reflections and thoughts about these different methods of eating. Which have you tried? Which do you prefer? Let me know in the comments on the episode page.   In This Episode  What the biggest issues are when you don't get the results you want [3:45] What intuitive eating is [4:15] The average body fat percentage for women [10:00] Why you might need to gain muscle before you can lose weight [15:30] The differences between mindful macros and intuitive eating [21:00] What you need to know about a calculated macro way of eating [22:00] How to get started with calculated macros [23:30] The best macro calculation when you're starting out [26:45]   Quotes “The biggest issue when individuals do not get the results that they want is that the results that they want are not in alignment with their strategy, and their strategy isn't in alignment with what they're willing to do.” [3:45] “I would say that the people who are most successful with their long-term results spend some time on the intuitive side of eating.” [6:17] “If you can trust yourself enough to explore the intuitive side of things, ultimately, it's definitely going to help you long-term.” [8:42] “A really balanced way of eating where you're eating adequate protein, limiting added sugar, and including a very balanced plate seemed to get us to that point I'm talking about of the optimal body composition. A reminder: skeletal muscle mass above body fat mass is what I'm aiming for.” [13:54] “It's not always what it seems. We might have to do different strategies before we can actually achieve the results we're ultimately looking for for it to be sustainable.” [15:56] “Calculated macros are something that needs to be adjusted because we are going to respond differently as different people with different makeups, and unless you are skilled at knowing how to adjust them, then you can wind up in a situation where you're pretty confused going down a very different pathway.” [22:20] “If you're calculating macros, usually it's going to be for a muscle gain goal, or it's going to be for a fat loss goal. I don't usually have people who are willing to commit to calculated macros for a maintenance goal.” [26:02]   Resources Mentioned Learn About Transform 7.0 Mifflin-St Jeor BMR Calculator Check out the full episode page here Find Life Coaching for Women Physicians Online Follow Dr. Ali Novitsky on Facebook | Instagram | YouTube Subscribe to Life Coaching for Women Physicians on Apple Podcasts Podcast production by the team at Counterweight Creative   Related Episodes  Episode 176: Optimizing Your Health with Strength Training Episode 177: Tracking Body Composition Changes Episode 175: Your Easy Guide to Getting Adequate Protein

MacroVoices Erik Townsend and Patrick Ceresna welcome Daniel Lacalle to the show. They discuss everything from recession risk to Eurozone economic weakness and what's causing it, to inflation and why Daniel says last week's CPI print wasn't necessary as bullish as market participants have perceived, to monetary aggregate contraction to energy prices and the upcoming OPEC+ meeting this Sunday to what's happened to public sentiment in Europe relative to nuclear energy. https://bit.ly/47MDHEu   Check out Energy Transition Crisis on YouTube: https://www.youtube.com/@EnergyTransitionCrisis1 Download Big Picture Trading Chartbook

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In this part one of the two-part year-ahead outlook podcast series, we explore the main FX themes for 2024 through a macro and systematic lens.   Speakers Meera Chandan, Global FX Strategy Arindam Sandilya, Global FX Strategy Patrick Locke, Global FX Strategy James Nelligan, Global FX Strategy Antonin T Delair, Global FX Strategy   This podcast was recorded on 22 November 2023. This communication is provided for information purposes only. Institutional clients can view the related reports at https://www.jpmm.com/research/content/GPS-4565749-0 https://www.jpmm.com/research/content/GPS-4568084-0.pdf for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2023 JPMorgan Chase & Co. All rights reserved.    

Mitch Askew interviews Matt L. Matt is the founder of Lark Funding, a no-time limit proprietary trading firm. Matt also creates YouTube videos on money, business, and macroeconomics. Mitch & Matt discuss the differences between trading and investing, content creation, Bitcoin, building generational wealth, and more! If you enjoy this conversation, make sure to like and subscribe. It really helps out the channel!

Please support this show buy subscribing / following and writing a review if you can. It greatly helps us to reach more photography enthusiasts like you! Konstantin & Becky bring to you the latest Nikon news and photography related announcements. Rebecca Danese: ⁠⁠⁠⁠⁠https://www.instagram.com/rebecca_danese⁠⁠⁠⁠⁠ Konstantin Kochkin: ⁠⁠⁠⁠⁠https://www.instagram.com/konstantinkochkin⁠⁠⁠⁠⁠ Production: Konstantin Kochkin Contact us at media@graysofwestminster.co.uk 0:00 Intro 0:16 Black Friday Deals 2:03 Nikon ZF is the best selling camera in Japan 3:06 Nikon ZF firmware 3:50 Nikon ZFc firmware 4:05 EN-EL25a announced 5:19 DX camera coming soon? 10:56 Nikon Z9h rumors 13:56 90th Anniversary of Nikkor Lenses 16:23 Nikon Financials Q&A 18:43 rare 300mm f/2 PL sold 19:35 Adapted Lenses for Nikon Z 21:21 Reviews Nikon Report 138 (20.11.2023) Black Friday Grays Deals https://shop.graysofwestminster.co.uk/ Nikon Winter Savings https://shop.graysofwestminster.co.uk/product-tag/nikon-winter-instant-savings/ The Nikon Zf, the best-selling camera in many Japanese stores https://tinyurl.com/ymn9vw7s https://tinyurl.com/2nuzzebj Zf Firmware v1.10 https://downloadcenter.nikonimglib.com/en/download/fw/507.html Z fc Firmware ZFc v.1.5.0 https://downloadcenter.nikonimglib.com/en/download/fw/506.html New EN-EL25a Li-ion rechargeable battery announced https://www.nikon-image.com/products/accessory/power_supply/en-el25a/ Is DX Next? By Thom Hogan https://www.zsystemuser.com/nikon-z-system-news-and/is-dx-next.html Very early rumors of a new Nikon Z high-speed camera (Z9h?) to be announced for the Paris 2024 Olympics https://tinyurl.com/5xw9vv6w Nikon celebrated the 90th anniversary of it's Nikkor Lenses https://www.nikonusa.com/en/about-nikon/press-room/press-release/lo74gelj/NIKKOR-CELEBRATES-ITS-90th-ANNIVERSARY.html Q2 Financial Results Q&A https://www.nikon.com/company/ir/ir_library/result/qa/2024_2q/20231114_e.pdf RARE 300mm f/2 AIS appears at auction https://www.catawiki.com/en/l/75368019-nikon-nikkor-300mm-t2-ed-century-precision-optics-housing NIKON Zf + Adapted F Mount Lenses by Matt Granger https://www.youtube.com/watch?v=8eYLF-7Pr6k MosterAdapter announces the development of AF lens adapter LA-FE2 compatible with Nikon D type lens drive https://asobinet.com/info-release-development-la-fe2/ Reviews: Nikon Zf review - What is it really like? Performance, Handling, Pros and Cons by Grays https://www.youtube.com/watch?v=R05MpLc8zng A Tilt Shift MACRO Lens for Nikon Z!? TTArtisan 100mm f/2.8 Macro lens with Tilt-Shift REVIEW by grays https://www.youtube.com/watch?v=ByDuATzr-x0 Weekend Read & Watch Nikon Cameras and Lenses in Space by Tim Chapman https://www.timmchapman.com/gallery/nasa-nikon-profiles/ NASA Nikon F4 Electronic Still Camera - First Digital SLR in Space https://www.timmchapman.com/page/nasa-nikons/ NASA Nikkor lens serial number database https://www.timmchapman.com/page/nasa-nikkor-lens-serial-number-database/ Nikon Ambassador Michelle Valberg on Storytelling in Wildlife Photography by Petapixel https://petapixel.com/2023/11/06/nikon-ambassador-michelle-valberg-on-storytelling-in-wildlife-photography/ Thanks for watching! #nikon #nikkor #nikonzf --- Send in a voice message: https://podcasters.spotify.com/pod/show/grays-of-westminster/message

If you are looking to learn how to calculate alcohol macros without cutting back on alcohol or skipping out on social events, this episode is for you!  By understanding how to make it fit within your daily allotment, you can still reach your health and fitness goals without having to cut it out of your intake completely. As a bonus, we are offering our listeners a FREE E-book entitled Cocktails & Mocktails: How to Track Alcohol Macros. Simply text the word ALCOHOL to 615-808-8317.   Check out our website at https://burnfatandfeast.com to find out more about how you can ignite your life and live fully.  GRAB ONE OF OUR FREEBIES: Week of Meals (with grocery list and recipes) Ultimate Guide to Intermittent Fasting For Women 5 Days to Burning Fat and Increasing Energy Training Fat Burning Guide Metabolism and Hormone Checklist Fast Food Guide Free LIVE workout FEAST your way FIT training   Connect with us on your favorite social media platform: Instagram: www.instagram.com/burnfatandfeast Facebook: www.facebook.com/burnfatandfeast TikTok: @burnfatandfeast LinkedIn: https://www.linkedin.com/company/burn-fat-and-feast/ Join our FREE Facebook community to be surrounded by other women on a mission to live their best lives.  Rate, Review and Follow on Apple Podcasts If you love this show, please consider rating and reviewing the show! This helps us support more people just like you, move toward the life they desire and deserve. Click here, scroll to the bottom, tap to rate with five stars and select “Write a Review”. Then be sure to let us know what you loved most about the episode.  Also, if you haven't done so, follow the podcast. We add episodes every week to the feed and if you're not following, there's a good chance you'll miss out. Follow now!

Raoul Pal, founder and CEO of Real Vision and author of the Global Macro Investor, joins Julia La Roche on episode 121 to share his macro outlook, views on cryptocurrency and AI, and his Exponential Age thesis.  In this episode, Pal makes a case that we're currently in the bottom of the business cycle and could be headed for what he's coined as “macro summer” next year. According to Pal, a macro summer is the “holy grail for macro investing,” characterized by falling rates, falling inflation and growth picking up. Pal noted that tech stocks and crypto priced in a recession last year, and they're forward-looking, indicating a more positive outlook for the economy, while the Russell 2000 and oil are more reflective of the present day and a slow economy.  Pal, a Goldman Sachs alum, previously co-managed GLG's global macro fund, one of the world's largest. Since retiring back in 2004 at age 36, he now authors a research letter, The Global Macro Investor (GMI), which is read by some of the most influential hedge funds and asset managers. He's also the founder of Real Vision, an online subscription media company specializing in long-form investor interviews. Links:  Twitter/X: https://twitter.com/raoulgmi GMI: https://globalmacroinvestor.com/ https://www.realvision.com/ 0:00 Welcome Raoul Pal  1:23 Macro view today 4:37 We're at the bottom of the business cycle now 6:02 In “macro spring” headed for “macro summer”  7:50 Why rates will go lower faster than people think 8:27 Paying interest on the debt 10:15 Did we experience a recession already?  12:29 Inflation  14:15 False narratives in macro  16:12 Central Bank's currency debasement  19:08 Destruction of the American Dream  21:51 The debt problem  26:30 The Exponential Age and the Everything Code  30:27 The darker view  32:40 Higher for longer  34:45 Portfolio construction in this environment  39:40 Robotics and UBI   43:13 Timeline on crypto and broader adoption  48:12 Psychology of the ups and downs  53:07 Acceleration of AI  54:04 Fourth Turning  55:30 Parting thoughts  The Julia La Roche Show is produced by Marlinksi Media: https://www.marlinskimedia.com/

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It's Macro Monday with Dave Weisberger, James Lavish and Mike McGlone. ►►TRADING ALPHA READY TO TRADE LIKE THE PROS? THE BEST TRADERS IN CRYPTO ARE RELYING ON THESE INDICATORS TO MAKE TRADES. USE CODE ‘2MONTHSOFF' WHEN VISITING MY LINK. 

The USD continues to weaken with the market betting on a Fed pivot as inflation cooled more than expected last week and more indicators are suggesting the US economy is slowing down. We also cover FOMC Minutes, initial jobless claims, and Black Friday. In Europe, this week is going to be a key test of the turnaround narrative with fresh PMI figures and IFO survey, while we also keeping an eye on UK budget and Riksbank. Finally, in Asia FX traders should have a focus on RBA Minutes and the stabilisation/strengthening of the Chinese Yuan, with Charu Chanana and Peter Garnry. Read daily in-depth market updates from the Saxo Market Call and SaxoStrats Market Strategy Team here. Click here to open an account with Saxo

“I see us going to $100,000 by the end of next year, easy…and that's ignoring a Bitcoin spot ETF; that is a complete game changer.”— Steve McClurgSteven McClurg is a Co-Founder of Valkyrie Investments. In this interview, we discuss the North American Bitcoin Summit, speculation about SEC approval of Bitcoin ETFs, and the potential advantages of having the first approved ETF. The conversation also covers the US government's debt and its effect on the economy, the concept of inflation and its potential impact, the influence of BlackRock and state involvement in Bitcoin, and future Bitcoin adoption. - - - - One of the hot topics at the North American Bitcoin Summit was the speculation surrounding the approval of Bitcoin ETFs by the SEC. I was fortunate to be able to have a new interview with Valkyrie Investments CIO Steven McClurg, who provided insight into the SEC's decision-making process, how the SEC will likely batch the approval of ETFs, the role of BlackRock in changing the SEC's stance, and the impact of the speculation on Bitcoin's price.Our conversation moved on to cover the US government's debt and its impact on the economy. The elephant in the room is the increasing pressure debt servicing applies to the US government finances, particularly in the wake of interest rate rises. Steve focused on the concern that the government seems to have little political incentives to solve the debt problem, as politicians are focused on getting reelected rather than addressing long-term issues.We discussed the compounding effect of inflation, and how even a small increase in inflation can have significant consequences over time. The rising costs of groceries, fuel, and housing, are materially affecting people's ability to invest and save. Whilst we are veterans of believing Bitcoin provides financial protection, it seems like prominent financiers such as Larry Fink, BlackRock's CEO, are also considering Bitcoin as a solution to the current economic situation.The podcast concluded with a discussion on the potential for government investment in Bitcoin. We speculated on the amount of Bitcoin owned by El Salvador and its potential value. We touched on the seizure of Bitcoin by US police and how the government has dealt with these seizures. Finally, Steve and I talked about whether other countries are likely to be acquiring Bitcoin. It may be very soon that all countries realise that they don't have enough! - - - - This episode's sponsors:Iris Energy - Bitcoin Mining. Done Sustainably Bitcasino - The Future of Gaming is hereLedger - State of the art Bitcoin hardware walletWasabi Wallet - Privacy by defaultUnchained - Secure your bitcoin with confidenceOrange Pill App - Stack friends who stack sats-----WBD738 - Show Notes-----If you enjoy The What Bitcoin Did Podcast you can help support the show by doing the following:Become a Patron and get access to shows early or help contributeMake a tip:Bitcoin: 3FiC6w7eb3dkcaNHMAnj39ANTAkv8Ufi2SQR Codes: BitcoinIf you do send a tip then please email me so that I can say thank youSubscribe on iTunes | Spotify | Stitcher | SoundCloud | YouTube | Deezer | TuneIn | RSS FeedLeave a review on iTunesShare the show and episodes with your friends and familySubscribe to the newsletter on my websiteFollow me on Twitter Personal | Twitter Podcast | Instagram | Medium | YouTubeIf you are interested in sponsoring the show, you can read more about that here or please feel free to drop me an email to discuss options.

MacroVoices Erik Townsend and Patrick Ceresna welcome back Lakshman Achuthan as this weeks  featured guest. They'll discuss ECRI's leading indicators, growth and inflation, the Hard Landing Lak still predicts and much more! https://bit.ly/49S2gBN   Check out Energy Transition Crisis on YouTube: https://www.youtube.com/@EnergyTransitionCrisis1 Join OptionFinity discord: https://discord.gg/Rvnsv6Y Download Big Picture Trading Chartbook