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Clearly reads like a joke to me.
It's a joke... You know, like... haha... funny. That kind of a thing.
But why's half the thread treating it like an actual analysis?
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"A scan of Twitter reveals a lot more people talking about actually using Match.com than Plentyoffish" There's the biggest flaw in his theory. If you've scanned the people who have profiles on POF (or any other free dating service), you might draw the conclusion that the people using such services are not part of the tech elite. Yes, Twitter has a large user base but it is not mainstream. Here's why it gets so many c…
I'm not sure if the author was being serious or satirical, but it's kind of a shame that the article was so dopey, because there's probably a real story here.
Earlier quoted context omitted.
It's a joke... You know, like... haha... funny. That kind of a thing.
Right. But why's half the thread treating it like an actual analysis?
The idea that it's all click bots is just silly.
Google, do you hear me? Or are you just a creature of Microsoft meant to stop the DoJ from breaking them up?
"A scan of Twitter reveals a lot more people talking about actually using Match.com than Plentyoffish" There's the biggest flaw in his theory. If you've scanned the people who have profiles on POF (or any other free dating service), you might draw the conclusion that the people using such services are not part of the tech elite. Yes, Twitter has a large user base but it is not mainstream. Here's why it gets so many c…
This is so hilarious that it feels wrong to nitpick it. But in the interests of science, this survey technique: A scan of Twitter reveals a lot more people talking about actually using Match.com than Plentyoffish... ... is like a freshman-class exercise in Spot The Sample Bias. Twitter users are hardly a representative sample of the online population, let alone the population at large.
Twitter users alone is a small sample, but I think there are other anecdotal samples that support (but can't prove) the author's hypothesis. I can't remember anyone talking about PlentyOfFish, and this includes people who have tried multiple dating sites. Compete, Alexa, Google Trends and other traffic estimators also show Match having higher traffic. The only statistics showing PlentyOfFish as bigger than Match are…
If so, it's a joke on the web stats industry, which seems to be... well, a joke. If people had any confidence in the accuracy of these traffic estimators, there wouldn't be room for a wacky conspiracy theory, right? Does anybody really know how many people visit a site, besides (perhaps) its owner? I suppose Google might give me more definitive data if I paid enough and signed an NDA in blood.
I'd really be interested to know how PoF is pulling so much traffic.
I wouldnt bet anything against Google or PoF not messing this
Earlier quoted context omitted.
It's a joke... You know, like... haha... funny. That kind of a thing.
Right. But why's half the thread treating it like an actual analysis?