Latest on Pro Wrestling Tees Data Breach | Backstage Details On AJ/Omos Split | WWE Raw Review & Results
Thanks to Express VPN, BetterHelp and Manscaped for sponsoring today’s episode of Going In Raw!
Go to http://www.expressvpn.com/gir to find out how you can get 3 months free!
Go to http://www.betterhelp.com/raw to get 10% off your first month!
Go to http://www.manscaped.com and use code RAW to get 20% off and free shipping!
Time Stamps
00:00 Show Starts
02:51 Latest On Pro Wrestling Tees Data Breach
07:47 Backstage Details On AJ Styles/Omos Split
10:52 AJ & Omos Split, Seth & Owens KO-Exist On Raw
37:54 WWE Raw Recap
1:08:27 Friendo Questions
Sources:
https://www.wrestlinginc.com/news/2021/12/pro-wrestling-tees-issues-out-statement-to-customers-after-data-breach/
https://twitter.com/WrestleVotes/status/1473305749522685954?s=20
🚨 HELP SUPPORT GOING IN RAW AND GET EXCLUSIVE BONUS CONTENT 🚨
Get THREE WEEKLY LIVE bonus episodes via Friendo Club TV
-Power Rank LIVE WITH FRIENDOS Tuesdays 4pm PT 7pm ET
-Numbers Don't Lie AKA Going In Raw Math Thursdays 4pm PT 7pm ET
-GTA Online With FRIENDOS Fridays 3pm PT 6pm ET
Available By:
Becoming a $5+ Patron at http://www.patreon.com/steveandlarson
🚨 On Patreon, you get
-All three bonus episodes LIVE or ON DEMAND
-Ad Free Audio RSS Feed + Two Bonus Episodes
-Ask questions for our recap shows!
-Vote On Numbers Don't Lie wrestlers and ratings
-Watch Bonus Content LIVE or On Demand
Also support by
🚨 Clicking JOIN TO BECOME A GOING IN RAW CHANNEL MEMBER
-All three bonus episodes LIVE or ON DEMAND
-Access to EMOTES and BADGES to use for monthly WWE PPV Live Reactions & Daily Premieres
Going In Raw Merch:
http://www.friendomerch.com
Send us Friendo Mail!
PO Box 1814
Orangevale, CA 95662
Subscribe and leave us a rating, review or comment!
Going in Raw on ITunes
http://apple.co/1LpIsZa
Larson on Twitter:
http://www.twitter.com/joyofbearding
Steve on Twitter:
http://www.twitter.com/mfstevehere
Going In Raw on Twitter:
https://twitter.com/realgoinginraw
Learn more about your ad choices. Visit podcastchoices.com/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.