Those that reject the science behind global warming have nothing to back them. They can’t rely on the scientific literature as it clearly shows they’re wrong. They can only point to the odd flawed paper that manages to get through peer-review. If no flawed research is available then they might switch over to misrepresenting valid research. This means that they’re at odds with the majority of the scientific community and don’t get any support from them.
Continue reading Climate Science Deniers Are Again Trying To Game The Bloggies
I’ve already written several blog posts about Alexa and how notoriously bad its statistics are. Not really surprising that they are bad if you know how the data for those statistics is gathered. For the bulk of their data Alexa relies on people installing the Alexa Toolbar (or a toolbar that passes information to Alexa). It’s this toolbar that monitors to which websites you go and how you end up on them.
This has as a result that demographic, used browsers, and even the country visitors are from influence the data that Alexa gathers about a website. This can introduce serious artefacts and biases into the collected data and basically makes the statistics generated from it worthless. At best it can give you an idea about how well a website is doing, but that doesn’t mean that what you’re seeing matches reality. I’ve already written a far more detailed blog post about how Alexa works and why you never should rely on the data it provides; it’s just too unreliable.
Continue reading Another Reason To Not Use Alexa Statistics: They’re Too Easy To Manipulate
That Alexa isn’t good at giving reliable statistics is well known in IT. Any website like Alexa that tries to estimate traffic to a website in a similar way via indirect measurements will encounter the same issues it has. Those that work in IT often know what those issues are and know what the consequences are for the data that’s gathered via those methods.
The main issue that Alexa has is that it gathers the data it uses via users that installed the Alexa toolbar (or a toolbar that passes information to Alexa). This has as a result that demographic, used browsers, and even the country visitors are from influence the statistics that Alexa gathers about a website. This can introduce serious artefacts and biases into the collected data and basically makes Alexa data worthless. At best it can give you an idea about how well a website is doing, but that doesn’t mean that what you’re seeing matches reality. I’ve already written a far more detailed blog post about how Alexa works and why you never should rely on the data it provides; it’s just too unreliable.
The blog post that I wrote about Alexa were all sparked by Anthony Watts using Alexa data to claim he’s doing better than his competition. His website is certainly big and it could very well be the case that he is outperforming his competitors. But Alexa is not the tool that you can use for determining if you are doing better than your competitor.
Continue reading This Is Why You Shouldn’t Use Alexa
Anthony Watts is very fond of using Alexa statistics for showing how popular his blog is. Especially when he can use it to show that his blog is more popular than websites that spread good information on climate science.
But the problem is that Alexa uses indirect measurements to give an estimate for how much a website is visited. This makes Alexa traffic statistics basically worthless if you’re trying to do any serious analysis of visitor numbers to websites. You just don’t use it as you will almost always get something that isn’t remotely close to reality (although some businesses do use this data).
Watts is known for using Alexa web traffic statistics to show how well his website is doing compared to other blogs. Often to boast he’s doing far better than for example Skeptical Science or Real Climate.
It was just me giving an opinion on how inaccurate the Alexa data is and that you shouldn’t use it. Watts did respond to my remark, and before I address his response to me I’ll explain why I think Alexa data is unreliable.
Continue reading Why You Shouldn’t Use Alexa Traffic Statistics
As someone who releases most of his science content on YouTube, let me explain something about how YouTube counts views. If you see a 301+ view count it means that you went above 300 views and now YouTube is going to verify if the views you’re getting are legit. This has as a consequence that the view count isn’t updated anymore in real-time and you will have to wait several hours before they update (this can take up to a day before it’s updated).