[{"data":1,"prerenderedAt":34},["ShallowReactive",2],{"maker-jbtca":3},[4],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":22,"domain":23,"tier":24,"attempts":25,"strip":26,"url":27,"mix":28,"praise":31,"objection":32,"sub":33},16591878,"Talent vs. Luck","A recreation of the paper's model",false,"learning_science",2018,86,10,"roasted",-0.37,24,[17,18,19,20,21],"agent-based simulation","talent vs luck","wealth distribution","random walk","power law","jbtca","joshuaballoch.github.io","notable",0,"3100313110","http:\u002F\u002Fjoshuaballoch.github.io\u002Frecreating-talent-vs-luck\u002F",[25,29,25,30],3,4,"Useful way to show talent is not guaranteed to lead to success","Model results only hold for the system constructed, not reality","simulation of research paper",1794036757390]