Red Monk's inputs are at least numbers based on tracks left by actual programmers and not meaningless search results. The "index" is calculated (http://www.tio

Red Monk's inputs are at least numbers based on tracks left by actual programmers and not meaningless search results. The "index" is calculated (http://www.tiobe.com/index.php/content/paperinfo/tpci/programminglanguages_definition.html http://www.tiobe.com/index.php/content/paperinfo/tpci/progra...) by searching the 25 highest ranked web sites on Alexa which have a search box and meet some basic criteria then magically weighting them as follows: - Google - 7.7% - YouTube - 7.4% - Baidu - 7.1% - Amazon - 6.8% - Google India - 6.5% - Yahoo Japan - 6.2% - Hao123.com - 5.8% - Google Germany - 5.5% - Microsoft Bing - 5.2% - Google Japan - 4.9% - Google UK - 4.6% - AliExpress - 4.3% - Alibaba - 4.0% - Amazon Japan - 3.7% - Google Brazil - 3.4% - 360.cn - 3.1% - Google Italia - 2.8% - Amazon Germany - 2.5% - Google Spain - 2.2% - Amazon UK - 1.8% - Google Mexico - 1.5% - Google Canada - 1.2% - Google Ad Services - 0.9% - Amazon China - 0.6% - Google Poland - 0.3% I might buy that a general internet or e-commerce search might tell you one (low-signal, high-noise) piece of data about popularity. Some of these sites seem highly questionable to tell you anything meaningful. Garbage in / garbage out. I think use of more specific numbers from sites like Stack Overflow or GitHub seems far more likely to give you relevant information.