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It would be interesting to do some data mining on the open secrets data set for things like this. Has anybody seen any work on identifying statistically signifi
by pvnick 13y ago
It would be interesting to do some data mining on the open secrets data set for things like this. Has anybody seen any work on identifying statistically significant funding sources for clusters of representatives based on the way they vote?
- kumarski 13y agoVery true. Wish I had the time to toy around with D3JS. My goal with starting the google doc was to make it easier for people to target the companies that fund the politicians. If everyone who sees this doc, fills in 2 rows, this will be done in a few minutes.
- deleted 13y ago[deleted]
- dllthomas 13y agoA lot of these donors probably donated to the other side, too. "I won't do business with anyone who funds politicians I don't like, even if they also fund politicians I do like" is not necessarily a bad policy, but just be aware that that's what you're adopting if you choose to move your business away from these donors without also checking out the other side of the coin.
- kumarski 13y agoThat's a really good point.
- maceo 13y agoThanks for putting together this spreadsheet! It would be cool to combine this with a campaign on Buycott (buycott.com) in order to target all these companies.
- unit009 13y agoi added some really rough charts on the other spreadsheets to get started.
- kumarski 13y agothanks.
- deleted 13y ago[deleted]
- gyardley 13y agoAnd what would that show, exactly? That donors are more likely to donate to politicians who agree with them? In order to be interesting, you'd have to demonstrate that a donation caused the politician's stance and was not just because of the politician's stance - and I'm not sure that's extractable from the data set you've got to work with.