238: Becoming a Real Estate Millionaire on a Teacher’s Salary with Michael “Swanny” Swan
Is it possible to invest in real estate if you live in an expensive market—and earn a teacher’s salary? According to today’s guest, it’s not only possible, but it can be incredibly profitable!
Today’s guest, Michael Swan, is a P.E. teacher who lives in San Diego but has used the valuable real estate concept known as “trading up” to acquire millions of dollars in real estate. You’ll learn why Michael liquidated his entire retirement plan to buy his first few deals, the truth about “luck” and real estate, and some fantastic tips for buying and managing properties—even from a distance. (And if you work a full-time job or make less than $100,000 per year, this show might just change your life!)
In This Episode We Cover:
- Why Michael’s nickname is Swanny
- How he realized his financial ladder was leaning on the wrong building
- Tips for utilizing IRAs and penalties
- Whether purchasing 11 condos is a good idea or not
- The story of the 15-unit apartment complex
- How he went from $5k in cash flow to $24k
- Whether luck had to do with his great deals
- Tips for buying areas in with both cash flow and appreciation
- His formula for financial freedom (using multifamilies)
- A discussion on single families versus multifamilies
- How to find deals in your market
- Tips for seeking out the perfect property manager
- How many units he has now
- How to tackle big projects
- How he manages his work with his time as a teacher
- And SO much more!
Links from the Show
Books Mentioned in this Show
- Rich Dad Poor Dad by Robert Kiyosaki
- Multi-Family Millions by David Lindahl
- Loopholes of Real Estate by Garrett Sutton
- The 7 Habits of Highly Effective by Stephen Covey
- Think and Grow Rich by Napoleon Hill
- The 10X Rule by Grant Cardone
Fire Round Questions
- What strategies do you use to find the “right” property manager?
- Is a skunk in the yard my responsibility?
- Apartment bedrooms 2, 1 or studios
- Investing in San Diego
- Investing in rental income properties out of state
Tweetable Topics:
- “Living in San Diego, if I am able to do it, anybody can do it.” (Tweet This!)
- “Luck is when preparation meets opportunity.” (Tweet This!)
- “Make sure you make connections with everybody.” (Tweet This!)
- “I don’t take advice from someone that has less than me.” (Tweet This!)
Connect with Michael
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.