[{"data":1,"prerenderedAt":233},["ShallowReactive",2],{"project-8615275":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":29,"sentiment":30,"stance_mix":31,"scored_comments":36,"aspects":37,"strip":43,"post_text":45,"what":46,"said":78,"maker_in_thread":140,"shape":152,"grid":156,"attempts":193,"same_week":194,"maker_shows":225,"maker_hidden":226,"reader_version":227,"card":228},"8615275","MineData.org","Our Bayes Impact Hackathon Project, MineData.org","title","Show HN: Our Bayes Impact Hackathon Project, MineData.org","http:\u002F\u002Fwww.minedata.org","minedata.org","philip1209",1416169027,2014,56,17,571,2272,26,"notable","data","mine safety data analysis","web_app",[24,25,26,27,28],"mine safety","mine inspections","mining data","lives at risk","bayes hackathon","curious",-0.25,{"positive":32,"neutral":33,"mixed":34,"critical":35},1,4,0,3,8,{"design":38,"execution":39,"idea":41,"docs":42},{"positive":34,"critical":32},{"positive":34,"critical":40},2,{"positive":34,"critical":34},{"positive":32,"critical":34},[32,34,34,34,32,34,35,34,32,34,35,34,35,34,44,34,35],5,null,{"problem":47,"audience":45,"pricing":45,"motivation":59,"time_to_build":45,"stack":68,"openness":75,"stage":76,"team_size":77},{"value":48,"source":49,"evidence":50},"Shows the danger level of mines using government inspection and accident data","inferred",[51,55],{"id":52,"by":53,"text":54},"8615645","498326","The Lives-At-Risk score aims to estimate the number of lives that would have been lost since the opening of a mine, in the absence of any inspections. We decompose this into 2…",{"id":56,"by":57,"text":58},"8616120","danso","1. Let me say that it's great to see more hackers work on issues of civic interest. The data from the government, like most things in life, is messy...but the more eyes we have…",{"value":60,"source":61,"evidence":62},"Built for the Bayes Impact hackathon","maker",[63,65],{"id":64},"post",{"id":66,"by":11,"text":67},"8615474","If you want to tag a tweet about this with #bayeshack, there is a prize for most popular project on social.",[69],{"value":70,"source":61,"evidence":71},"IPython notebook",[72],{"id":73,"by":11,"text":74},"8615698","The IPython notebook for the calculation is now in the repo: https:\u002F\u002Fgithub.com\u002Ftmsgost\u002FBayes_Impact\u002Fblob\u002Fmaster\u002Fexploration.ipynb","open_source","prototype","team",{"praise":79,"objections":85,"requests":113,"questions":125,"alternatives":139},[80],{"value":81,"source":82,"evidence":83},"Good to see hackers work on civic data","commenter",[84],{"id":56,"by":57,"text":58},[86,94,105],{"value":87,"source":82,"evidence":88},"Map is hard to read and the lives-at-risk score is buried",[89,90],{"id":56,"by":57,"text":58},{"id":91,"by":92,"text":93},"8615683","shoo","I am confused as to what data is being shown on the map. What do the numbers \u002F colours indicate? Is it merely plotting the number\u002Flocation of mines, or does it show the…",{"value":95,"source":82,"evidence":96},"Broken GitHub link and NaN errors on the calculator form",[97,101],{"id":98,"by":99,"text":100},"8615414","msc96","The Github link at the bottom of the page 404's for me. https:\u002F\u002Fgithub.com\u002Ftmsgost\u002FBayes_Imact Seems to just be a misspelled \"Impact\": https:\u002F\u002Fgithub.com\u002Ftmsgost\u002FBayes_Impact",{"id":102,"by":103,"text":104},"8615373","therobot24","I'm getting NaN on their \"Calculate Lives-At-Risk Score\" form.",{"value":106,"source":82,"evidence":107},"Data is messy and mapping is less useful than predictive models",[108,112],{"id":109,"by":110,"text":111},"8616872","lazzlazzlazz","This was unfortunately truer than it should have been. I saw two cases where truly predictive models on cleaned data sets were beaten by less informative mappings of uncleaned…",{"id":56,"by":57,"text":58},[114,118],{"value":115,"source":82,"evidence":116},"Show a ranked table of the most dangerous mines",[117],{"id":56,"by":57,"text":58},{"value":119,"source":82,"evidence":120},"Publish source code and calculation details",[121],{"id":122,"by":123,"text":124},"8615495","ely-s","How are you calculating the Lives-At-Risk Score?",[126,131,135],{"value":127,"source":82,"evidence":128},"How is the Lives-At-Risk score calculated",[129,130],{"id":122,"by":123,"text":124},{"id":52,"by":53,"text":54},{"value":132,"source":82,"evidence":133},"What data is shown on the map",[134],{"id":91,"by":92,"text":93},{"value":136,"source":82,"evidence":137},"What alternative methods were tried",[138],{"id":56,"by":57,"text":58},[],{"comments":141,"answered":35,"key":142},6,[143,146,149],{"id":144,"text":145},"8615429","Just pushed a fix. Thanks!",{"id":147,"text":148},"8615693","It's density of mines - plotting all 6000 doesn't provide useful information. Scroll in and the pins will expand. Clicking on them will give you a link to our analysis for that…",{"id":150,"text":151},"8615695","It's working now!",{"commenters":153,"max_depth":35,"maker_replies":141,"first_comment_mins":154,"lifespan_hours":155},11,29,10,[157,159,163,166,167,169,171,173,174,175,177,179,182,183,185,188,189],[56,34,32,158,57,34],"project\u002Fcritical\u002Fdesign",[160,34,34,161,162,34],"8616231","commenter\u002Fneutral\u002Fnone","minimaxir",[164,34,34,165,57,34],"8616292","other\u002Fneutral\u002Fnone",[109,34,34,165,110,34],[98,32,32,168,99,34],"project\u002Fcritical\u002Fexecution",[144,32,34,170,11,32],"maker\u002Fpositive\u002Fexecution",[91,40,35,172,92,34],"project\u002Fneutral\u002Fdesign",[147,40,34,172,11,32],[102,35,32,168,103,34],[150,35,34,176,11,32],"maker\u002Fneutral\u002Fexecution",[122,33,35,178,123,34],"project\u002Fneutral\u002Fidea",[180,33,34,181,11,32],"8615572","project\u002Fneutral\u002Fdocs",[52,33,35,178,53,34],[73,33,34,184,11,32],"project\u002Fpositive\u002Fdocs",[186,33,44,184,187,34],"8617141","shoyer",[66,44,34,165,11,32],[190,141,35,191,192,34],"8615867","project\u002Fneutral\u002Fnone","DrJ",[],[195,200,205,210,215,220],{"id":196,"name":197,"points":198,"category":199},"8608358","Explained Visually",353,"learning_science",{"id":201,"name":202,"points":203,"category":204},"8631158","LanguageExt",164,"languages",{"id":206,"name":207,"points":208,"category":209},"8616738","pyspider",159,"dev_tools",{"id":211,"name":212,"points":213,"category":214},"8615416","SineRider",137,"games",{"id":216,"name":217,"points":218,"category":219},"8631223","Picky Pint",134,"consumer_social",{"id":221,"name":222,"points":223,"category":224},"8623864","WikiWash",131,"productivity",14,false,"v2",{"id":229,"name":5,"line":6,"ai":226,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":30,"top":18,"kw":230,"maker":11,"domain":10,"tier":19,"attempts":34,"strip":231,"url":9,"mix":232,"praise":81,"objection":87,"sub":21},8615275,[24,25,26,27,28],"10001030103030503",[32,33,34,35],1794036525141]