VanGoat

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VanGoat

VanGoat

@Van_Goat_

🎨 NFT Artist | 💎 Pixel Art Enthusiast | 🎬 2D Animator | Creating worlds, one pixel at a time Web3 artist || @avaxsaurs

Katılım Eylül 2018
1K Takip Edilen814 Takipçiler
asthma
asthma@executeasthma·
be kind n u’ll end up in (@re)dacted spot u kind rite?🤔
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z4ch
z4ch@0xz4ch·
Polymarket Prediction Trend and Why Predictable Risk Matters Prediction markets like @Polymarket have shown something important When many people repeatedly place small bets on everyday outcomes, the final result becomes surprisingly accurate This idea is not new. It is rooted in probability and statistics, and it also explains how reinsurance works To understand this we need to talk about two very different types of risk Frequency Risk and Severity Risk Some events happen very often but each time the damage is small For example : • small water leaks in homes ( happens all the time) • glass breakage incidents ( windows and vehicle glass damage ) • low-impact motor accidents ( fender benders and minor collisions occurring daily ) Each individual loss is manageable but because these events happen thousands of times every day, insurers can predict the total losses over a year with high accuracy This is called frequency risk ( remember the examples that I gave ) Now their are are other events that are rare and doesn’t occur daily but when they happen the damage is massive ( millions and billions are wiped out in few seconds ) For example : • Hurricanes • Earthquakes • Large scale cyber attacks These are severity risks and one event can cause billions in losses and even wipe out an entire insurer or reinsurer So the difference is not just size ( It is predictability ) Why Predictability Matters There is a simple statistical principle behind this called the law of large numbers Lets take an example : If you flip a coin ten times the result can be random But If you flip it ten thousand times the outcome becomes stable and predictable The same logic applies to insurance You cannot predict which specific person will have an accident but across millions of people, the total number of claims becomes very predictable Note : Predictable risk allows capital to be managed safely Unpredictable risk can destroy it How @re Approaches Risk Re is built around this exact idea re focuses on high frequency and low severity insurance lines such as general liability, auto insurance, workers compensation and non catastrophic property insurance These risks happen often but they do not create sudden system breaking losses Re intentionally avoids catastrophic exposure like hurricanes or earthquakes where severity risk dominates By aggregating thousands of small and independent risks, losses stop being a gamble and start behaving like statistics This is how re aims to generate stable and predictable yield over time How Capital Is Protected Even within frequency risk, controls are needed ( safety first hehe ) Re uses structures like quota share ( this means Re only takes a fixed percentage of both premiums and losses) If losses spike, exposure stays proportional and controlled Re also uses predefined loss ratio limits. If losses rise beyond expected levels then mechanisms reduce exposure automatically to protect capital The goal is simple ( Never allow a single event to wipe out the whole system ) How This Relates to Polymarket Polymarket works on a similar principle even though the product is different On Polymarket thousands of participants place small bets on outcomes ( No single bet decides the result ) When aggregated, the market price becomes a reliable probability estimate Re does something similar with insurance claims Polymarket predicts future events and Re predicts losses Why This Model Works Long Term People will continue to drive cars and accidents will continue to happen Homes will continue to have small repairs These events are not tied to crypto cycles and they do not depend on market sentiment By focusing on predictable frequency risk ( re ) offers exposure to real world yield that behaves independently from crypto volatility This is not about chasing extreme returns but It is about engineering reliability ( stable less risk free yield ) Conclusion : Prediction markets show that when the same patterns repeat at scale, things become clearer. Reinsurance has worked the same way for a long time Re brings this idea onchain in a simple and transparent way Predictability may not be exciting but it is reliable and in an unpredictable world, reliability matters @ChazEevee @miketwinks @stepaks576 @st3phdoteth gRe 🌻
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VanGoat
VanGoat@Van_Goat_·
Buffy says hi 👋 Welcoming the new year with Project @re new #buffy sticker 🔥 hope you like it #art #re #web3
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VanGoat
VanGoat@Van_Goat_·
I’d like to invite you to watch a time-lapse with a pleasant piece of music In Project @re , we always deliver our very best work🔥 This is a time-lapse of a Buffy sticker waving its hand 👋 I hope you enjoy it💜 @ChazEevee @thecliffwhite @st3phdoteth @miketwinks
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@skrtttt_34 @re @ChazEevee @miketwinks @stepaks576 @reintern @st3phdoteth @halcyonserenads