This week we talk to Kristin Neff about self compassion
Kristin Neff is a self-compassion researcher, author, and Associate Professor at the University of Texas at Austin. She got her Ph.D. at the University of California at Berkeley in 1997 in the field of moral development.
While doing her post-doctoral work she decided to conduct research on self-compassion – a central construct in Buddhist psychology and one that had not yet been examined empirically.
In addition to her pioneering research into self-compassion, she has developed an 8-week program to teach self-compassion skills. The program, co-created with her colleague Chris Germer, affiliated with Harvard Medical School, is called Mindful Self-Compassion. Her book, Self-Compassion: The Proven Power of Being Kind to Yourself was recently released in paperback.
She and her family were recently featured in the documentary and book called The Horse Boy.
Our Sponsor this Week is Thrive Market!
Wholesome Products. Wholesale Prices.
In This Interview, Kristin and I Discuss...
The One You Feed parable
The difference between self-esteem and self-compassion
What self compassion is
The research on self-compassion and its benefits
How self-compassion increases motivation
The more self-compassionate you are, the less afraid of failure you are
How self-compassion reduces performance anxiety
The three pillars of self-compassion
Learning to soothe and comfort ourselves
Remembering that all people struggle and suffer
The damaging psychological effects of isolation
Learning to turn towards our own pain in order to work with it
How to practice self-compassion
Learning to talk to ourselves like we would a friend
For more show notes visit our website
Interested in behavior change? Please help us out by taking our short 3 question survey and receive a free guide: The 5 Biggest Behavior Change Mistakes
See omnystudio.com/listener for privacy information.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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.