11.5.19 Stay in your home longer; Krispy Kreme stops college-age entrepreneur; Ford to update vehicles over internet
Clark recommends a minimum ownership cycle of 7 years for houses and 10 years for condos. There’s enormous expense involved in both buying and selling a home – 10% in and 10% out. In addition to expenses in and out, condo values are more unstable than home values. So owning for a decade is best for your wallet. Historically, 7 years has been the typical amount of time people stay in a home. But according to Redfin, the ownership cycle now averages 13 years. People are choosing to stay longer and there are less job transfers. The untold story: The longer you stay in a home, the more profitable that home becomes because you’re not paying in and out costs. If your neighborhood is in decline, that’s a good reason to move. But as people stay longer and improve their homes, neighborhoods generally become more stable.
Minnesota college student Jason Gonzales defrayed school costs by driving 2+ hours to the closest Krispy Kreme in Iowa, buying in bulk and bringing them back to Minnesota to resell. It’s not a crime to bootleg donuts. He received no bulk discount, and sold by the dozen in the original boxes. Jason made a markup importing and selling the donuts, not available in Minnesota. After a story was published about this young entrepreneur, Jason got shut down by Krispy Kreme because he was “creating a liability” for them. What about all the charities that buy in bulk and sell by the box? Better to appreciate Jason for keeping the love for Krispy Kreme alive in a place that doesn’t have them!
For the last 7 years, Clark has had the privilege of driving a Tesla. The model 3 is one of the best selling vehicles in the U.S. now. The car is like a rolling computer. Tesla is always connected to the internet through cellular and home Wi-Fi, and sends regular software updates. You simply download updates as they come. Via these updates, Clark has seen the self-driving capabilities steadily improve to now extraordinary performance levels. This has been the envy of the automobile industry. Ford is now adopting this update capability starting in 2020. The vehicle that comes off the assembly line will evolve with updates. This is a game changer all automakers will likely adopt.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.