- Suggest topics for future discussions
This specific meetup announcement is simply a place for people to suggest and discuss topics that might be good candidate for future meetups of Cafe Philo. This announcement itself will not have an actual meeting. Simply post a comment on any topic category or specific question you would like to see discussed. The intent is not to enter into a full discussion of these topics here, but to discuss them enough so people can get a better feel for what the topic might encompass. And certainly there can be discussion of how to broaden or narrow a topic to enhance the eventual in-person discussions. There won't be any voting on topics here. Okay, sure, you CAN vote, but any preferences expressed here will not be binding on the persons attending actual Cafe Philo meetings where the actual suggestion and voting of topics occurs. We will start over with a blank slate for this discussion every three months or so. The previous discussions are of course archived, but the most recent version will be kept reasonably fresh.
- TRUTH: Practically, How Can We Better Discern What is True? (Host: Yen)
Please register free here: https://www.eventbrite.com/e/conversation-practically-how-can-we-better-discern-what-is-true-tickets-82240057225 Thank you. The Monty Python way: https://youtu.be/yp_l5ntikaU This is How Easy It Is to Lie With Statistics: https://youtu.be/bVG2OQp6jEQ (19 min) www.ted.com/talks/michael_patrick_lynch_how_to_see_past_your_own_perspective_and_find_truth/up-next (15 min) Ray Dalio, 'Rather than thinking, "I'm right," I started to ask myself, "How do I know I'm right?" Practically, how do we know what is true? Is truth essential to good decision-making? Can we make good decisions without knowing the full truth? How does our decision-making change if our decisions impact others rather than just ourselves? How do we know if there is a hidden agenda? Purpose: Join us for food, drinks, and conversation. Bring your collective wisdom. Greet old friends and meet new ones. Food-for-thought only: • How can we better discern what is actually true? How do we aware become aware of our own biases? • How do we know what we don't know? When assessing risk or possible unintended consequences, what can we do when we don't know what we don't know? • How is judging truth from the physical world different from judging truth from humans? • If a reason makes sense to the audience, does it make true? • If evidence is convincing, does it make the conclusion true? • Is a conclusion true if we believe the source? • What are the essential elements for us to discern what is true? • How often do we know the full truth? In context? How do we know what we don't know? • How is the language used to clarify or obscure? • How is truth distorted? • How does the scientific method used to discern the truth? **** Note — Manhattan Lectures & Conversations (MLC) neither screens participants, nor supervises or controls MLC meetings, and we have no special relationship with the individuals who participate in programs listed in our calendars. Therefore, please exercise good judgment when attending events. Note particularly that MLC events are NOT a forum for dating, for employees or independent contractors to introduce, promote, or sell goods and/or services, for organizing social/political action such as demonstrations, rallies, or partisan political campaigns, or for any unlawful activity. MLC meeting calendars are for posting events located in public areas only. Participants are: — expected to honor other people’s stated boundaries and respect their privacy — not obligated to provide information or answer any questions against their will — encouraged to share only information they feel comfortable sharing — expected to maintain confidentiality and not reshare personal information without permission from the owner. — responsible for resolving their own disputes and conflicts as private individuals. About the Moderator: Yen is a parent, manager, and a former trainer, & evaluator from the public and private sector. Specifically, Yen is a graduate of the U.S. Air Force Academy with a broad education across many areas. He is trained in Applied Physics but flew as Master Navigator with the US Air Force for most of his career. Yen planned, trained, executed, and evaluated military air and ground operations to ensure the continuation of government during crisis. These air operations involved first responders protecting the President & our national leaders after 9/11. Yen also has extensive work experience in operations management with a Fortune 20 company. We will be joining members from "Manhattan Lectures & Conversations." https://www.meetup.com/Manhattan-Lectures-Conversations/events/266494809/