{"id":2298,"date":"2015-01-20T03:39:13","date_gmt":"2015-01-20T08:39:13","guid":{"rendered":"https:\/\/stockx.com\/sneaker-blog\/?p=2298"},"modified":"2015-12-17T13:33:58","modified_gmt":"2015-12-17T18:33:58","slug":"we-found-128-best-of-2014-sneaker-lists","status":"publish","type":"post","link":"https:\/\/stockx.com\/news\/we-found-128-best-of-2014-sneaker-lists\/","title":{"rendered":"We found 128 “Best of 2014” sneaker lists…"},"content":{"rendered":"

 <\/p>\n

ACKNOWLEDGEMENT<\/strong>:\u00a0 All members of the Campless team help in everything that we do (which is why the blog has no named authors) but for this one we wanted to give an extra-appreciative shout-out to Jameson Liang<\/a> who put a lot of time and thought into this analysis.<\/p>\n

—–<\/p>\n

Are you sick of “Best of 2014” sneaker lists yet?\u00a0 You ought to be, it’s almost February.<\/p>\n

So why are you reading this one?<\/p>\n

Because you’ve been waiting on an objective, data-driven list.\u00a0 You don’t want to read a 26-click slide-show from the 2nd intern at the 22nd most popular sneaker blog.\u00a0 You don’t want to watch a best sneakers video<\/a> from a YouTuber who has also published “How to get rid of acne and acne scars”.\u00a0 (True story).\u00a0 Instead, you’ve been waiting<\/span> for this list because you know that with Campless, there is always<\/span> a data angle.<\/p>\n

<\/p>\n

For the past two years our angle was a “Staying Power” list.\u00a0\u00a0 We ranked the twenty sneakers NOT released that year which had the most eBay sales during<\/span> that year.\u00a0 For example, in 2013 the requirement was that the shoe had been released in 2012 or prior, and we ranked those shoes based on 2013 eBay sales.\u00a0 Here are our 2013<\/a> and 2012 lists<\/a>.<\/p>\n

This year we decided to do get closer to the standard fare and do a “Best of 2014” analysis (as opposed to “list”).\u00a0 In fact, our analysis is, by definition, the list to end all lists.\u00a0 We have intentionally waited as long as possible – perhaps too late – so that we could see every other “best of” list first.\u00a0 We have spent a long time identifying, compiling, standardizing and cleaning every single “Best of 2014” list we could find.\u00a0 What follows is a 100% objective analysis – data only, no personal opinion – of the top<\/span> sneakers of 2014.\u00a0 We use the word “top”, as opposed to “best”, because best is a subjective word.\u00a0 “Top”, however – particularly as we are using it – is defined by the data.\u00a0 It is the objective* collection of sneakers which have appeared at the top of others’ lists.<\/p>\n

*We recognize that the practice of taking a large number of subjective<\/span> “Best of” lists, rolling them together and calling them objective<\/span>, feels eerily similar to the mortgage-bundling which collapsed our economy in 2008, but you’ll just have to trust that the results will be better this time. <\/em><\/p>\n

Data Source:<\/strong><\/span><\/p>\n