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Welcome to Episode 0! 🎬 Think of this as the pilot episode—a rough cut of my very first video essay. While I’m still dialing in the editing and production, the educational foundation is fully baked. In this video, we dive deep into the mechanics, realities, and systems behind the restaurant forecasting and finance. Whether you are an aspiring restaurateur, a seasoned operator, or just someone who wants to understand the business of food on a deeper level. If you found the information valuable, please hit Subscribe to follow the journey. The production quality will level up in Episode 1, but the honest, educational deep-dives start right here. Let me know what you think in the comments! Want more in-depth restaurant insights? Check out my website for resources, articles, and more: 🌐 www.sanerestaurants.com Sources, resources and name drops NRA (Restaurant Assoc)-https://restaurant.org/ Chicago One Fair Wage Act-https://www.chicago.gov/city/en/depts... Stanford Archive Class, Sapolsky- • 1. Introduction to Human Behavioral Biology (This is actually 15 years old now... wow) 00:00 - Intro 00:30 - YPP, Monetization and Sponsor Promise 00:45 - Topic: Projections, forecasting, talk start, define terms, usefulness, why it's done 2:10 - Some criticisms and accuracy 3:18 - Rebuttal, real talk, solutions 4:20 - Historical Data & Challenges, Complex Models 5:40 - Realities of multi variable equations 6:25 - Small advantages of planning week-week 7:45 - Wage concerns in markets & how it applies to you 9:58 - AI forecasting & my gripes, generalized POS reports 12:50 - Financial Literacy & diverse owners meet finanance bros, 08 14:05 - Pizza & Smash Burgers, recession proof 16:40 - Back to topic! 17:27 - The real value of historical data 19:16 - In defense of Multi variable & Smaller restaurant realities 22:00 - 3 Stereo types of business/tech attitudes 24:07 - Tech as the answer with no real plan 25:15 - Efficiency metrics, changing concepts, staffing level (YIKES on this cut) 26:05 - Low alcohol trend and how it demos the issue & use of forecasting 28:43 - Wrap up, Sapolsky, interdisciplinary thinking, some upcoming topics