How to discuss with opinionated people using the Socratic method[video]

Hacker News

We all have an opinionated colleague, manager or even a relative. Discussing issues may get tricky and frustrating. In some cases this can end up in aggressive debates where nobody changes opinion. I came across a YouTube channel where a guy uses the Socratic method to discuss god believes with random people, in a few questions he gets people to lower their level confidence. On top of that his discussions are friendly, last only for 5 minutes and he is often greeted at the end of the conversation. This video shows off the Socratic method in action: * https://www.youtube.com/watch?v=F5EpfExorQQ Here is the trailer of the channel: * https://www.youtube.com/watch?v=moApG7z2pkY

Visit product View on Hacker NewsAug 23, 2017

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

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