The (un)usual suspects – global fraud by country (blog.siftscience.com) 14 points by divad12 13y ago ↗ HN
[–] mjfl 13y ago ↗ Is this data of who fraud was happening to, or the IP address perpetrating the fraud (probably behind a proxy)? [–] stephenlambe 13y ago ↗ Sift Science intern here. We used the latter for the purposes of this map. [–] brimanning 13y ago ↗ Also, it's unclear if that's per capita or just the total number of fraudulent acts by IP origin. [–] stephenlambe 13y ago ↗ it's per capita. Total fraudulent transactions/total transactions in each country.
[–] stephenlambe 13y ago ↗ Sift Science intern here. We used the latter for the purposes of this map. [–] brimanning 13y ago ↗ Also, it's unclear if that's per capita or just the total number of fraudulent acts by IP origin. [–] stephenlambe 13y ago ↗ it's per capita. Total fraudulent transactions/total transactions in each country.
[–] brimanning 13y ago ↗ Also, it's unclear if that's per capita or just the total number of fraudulent acts by IP origin. [–] stephenlambe 13y ago ↗ it's per capita. Total fraudulent transactions/total transactions in each country.
[–] stephenlambe 13y ago ↗ it's per capita. Total fraudulent transactions/total transactions in each country.
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