06.12.23 RULES For Avoiding Robocall, Text & Email Scams / New Report: Airbnb Fees
One company has now been sued for making BILLIONS of robocalls to Americans. Follow Clark’s simple rule to avoid this menace, plus Clark’s NEVER NEVER rule regarding texts & emails, and reduce your chances of getting scammed. Also today, Airbnb’s new transparency reveals a stunner: FEES and how much they add to the stated nightly rate. Know what to expect when booking.
- Scam Avoidance Rules: Segment 1
- Ask Clark: Segment 2
- Airbnb Fee Reveal: Segment 3
- Ask Clark: Segment 4
Mentioned on the show
- [The Washington Post] Telecom company sued by nearly every state over billions of robocalls
- How To Stop Spam Calls for Good
- Clark Howard's #1 Rule To Avoid Email Scams
- Why You Should Never Click on Random Text Messages
- 3 Places You Should Never Invest Your Money
- How To Find and Choose a Financial Advisor
- Best Investment Companies for Investors in 2023
- Airbnb Revamps Site to Ease Tensions Between Guests, Hosts
- Study: Cities With The Worst Airbnb Fees In 2023
- 5 Steps To Getting a Good Deal on a Hotel Room
- Do You Get Better Prices on Hotels From Third-Party Sites or by Booking Directly?
Clark.com resources
- Episode transcripts
- Community.Clark.com
- Clark.com daily money newsletter
- Consumer Action Center Free Helpline: 636-492-5275
Learn more about your ad choices: megaphone.fm/adchoices
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.