https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba en-us 2020-08-04 08:59:17 UTC 2026-03-17 22:48:58 UTC hello@padlet.com https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/935893169 I agree with Rawls that it seems just to maximise the utility of the participant who is worst off, implementing positive bias to ensure that the most disadvantaged receive the optimal that can be given. A guarantee of 70% of the optimal welfare also seems to be a good proportion of welfare.]]> 2020-11-18 10:05:39 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/935893169 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/962149986 When maximizing social welfare is used as the decision metric, then it seems like individual choice is forfeited for the common good. Algorithm 5 appears to take individual preferences into consideration so that in the long run, more people will receive something that is closer to their preference (e.g. a two bedroom instead of a three bedroom).]]> 2020-11-26 02:16:06 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/962149986 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/963276801 Minimising the pairwise distance between each person's individual utility while guaranteeing 70% of the social welfare seems to be a good balance between equitably distributing resources and ensuring no one is left out in the cold entirely. ]]> 2020-11-26 11:54:02 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/963276801 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/964222700 Levelling up the worst off while trying to optimise welfare seems like a good solution.]]> 2020-11-26 19:25:29 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/964222700 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/965678151 The maximin criteria ensures even the worst off have the highest possible value, as well as trying to guarantee 70% is the best way to ensure the max amount of welfare is distributed.]]> 2020-11-27 13:36:24 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/965678151 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/966930385 I was thinking between algorithm 2 and 4. In the first one we guarantee social welfare, but the latter one seems to be more equilibrated, trying to maximize the minimum for everyone. ]]> 2020-11-28 11:14:33 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/966930385 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/966945700 The best case scenario is everyone gets exactly what they want. If this is not possible then Algorithm 2 seems to be optimum as it has the possibility to guarantee 70% of social welfare to everyone and also takes care of the most disadvantaged.]]> 2020-11-28 11:32:59 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/966945700 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/971391089 Welfare has as target to help and support expecially people who are in the worst condition and algorithm 2 could guarantee this result]]> 2020-11-30 14:31:29 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/971391089 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/977037889 Always important to help those who need it most, algorithm 2 allows for those who receive the worst outcome still receive a baseline result.]]> 2020-12-01 18:38:40 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/977037889 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/986394992 I usually think about the benefits for society in general over one specific individual. I think that those who are worst off should be considered "special cases" and threated with a separate system especially since it's not because one is worse off that multiple others are not in need but a bit better off than that person.]]> 2020-12-04 02:19:59 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/986394992 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/995029084 I switched from 2 to 4 because 4 appears to uphold the perception of fairness more so than 2 .]]> 2020-12-07 17:20:46 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/995029084 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/996055919 Good discussion and after relooking I decided to stay with 5. As the difference in Preferences is minimized and people received something close to their desire   ]]> 2020-12-07 21:05:02 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/996055919 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/999367995 I stuck with algorithm 5 since its the one that minimize the distance between each participant's utility]]> 2020-12-08 18:12:53 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/999367995 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/999395458 70% + helps disadvantaged

]]> 2020-12-08 18:18:08 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/999395458 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1014101898 I switched from the 1 to 2 algorithm, because it is what I think is fairest given that it guarantees well-being by 70% and at the same time maximizes the individual utility of those who are worts off.]]> 2020-12-13 19:57:45 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1014101898 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1021497961 It achieves the 70% so overall outcome is as good as 1 but also protects the worse off which seems fair as protects the vulnerable population ]]> 2020-12-15 19:06:24 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1021497961 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1025879604 The benefit to the poorest/lowest group in this option swayed by selection. This way the worst off benefits most, society could benefit more as other negative societal effects could be reduced. The other participants in the selection wold only be marginally impacted
  ]]> 2020-12-16 21:49:23 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1025879604 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1030860623 I have not changed my choice but my reasons have been clarified. Algorithm 3 maximises overall social welfare, and this seems a reasonably fair way to deal with housing. However, I do think housing is one of the topics where specific cases need to be looked at in more detail. Does someone want an extra bedroom for their shoe collection or so the twin boys don't have to share a room with one of their sisters? ]]> 2020-12-18 11:02:39 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1030860623 john959 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1030903240 It is the fact that bias is towards the poorest in society. At 70% . This can only benefit the whole of society representing better outcomes in the future and the encouragement of a more balanced society. ]]> 2020-12-18 11:32:45 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1030903240 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1031704099 because 2 guarantees 70% of the optimum social welfare, but at the same time maximizes the utility of the worst off, which ensures a fairness in the society. ]]> 2020-12-18 16:15:09 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1031704099 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1032863221 It seems fairer 4 all]]> 2020-12-18 23:50:20 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1032863221 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033311788 2020-12-19 12:19:45 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033311788 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033322776 Helps all but maximises the disadvantaged]]> 2020-12-19 12:40:12 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033322776 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033548436 Algorithm 3 maximises the overall welfare, what is in my opinion the most important thing.]]> 2020-12-19 17:40:41 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033548436 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033686777 Achieves equity]]> 2020-12-19 20:28:29 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033686777 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033856357 Makes housing more equitable since it somewhat corrects for the worst off.]]> 2020-12-20 01:35:12 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1033856357 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1036093412 I still like that 4 minimises poor outcomes but it looks as though 2 balances this with maximising good outcomes]]> 2020-12-21 14:48:55 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1036093412 https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1036973563 Optimal social well-fair is the key. ]]> 2020-12-22 00:15:47 UTC https://padlet.com/moocdeliveryteam/umgy6ly0v3qataba/wish/1036973563