Bing’s Reign As #2 Search Engine Lasted One Day
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Bing’s Reign As #2 Search Engine Lasted One Day
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Re: Bing’s Reign As #2 Search Engine Lasted One Day
#21) Make a dramatic generalization from obviously-inadequate data. 2) Write a followup when better data proves it wrong.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#3This can be summarized as "New search engine gets spike as people try it out of curiosity" -- I'd be surprised if there wasn't a temporary jump in users around launch time.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#4It seems that they don't see it as a threat at all.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#5Is it just me or does Google seem rather quiet about Bing? It seems that they don't see it as a threat at all.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#6The TC hype machine's two-step pass is operating at full efficiency: 1) Make a dramatic generalization from obviously-inadequate data. 2) Write a followup when better data proves it wrong.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#7The TC hype machine's two-step pass is operating at full efficiency: 1) Make a dramatic generalization from obviously-inadequate data. 2) Write a followup when better data proves it wrong.
Uhm... where better data is the exact same source as they used before?
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#8The TC hype machine's two-step pass is operating at full efficiency: 1) Make a dramatic generalization from obviously-inadequate data. 2) Write a followup when better data proves it wrong.
Arrington is closer to the tech Zeitgeist than he gets credit for on this site.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#9Earlier quoted context omitted.
Uhm... where better data is the exact same source as they used before?
Better data is over a longer span of time.
Re: Bing’s Reign As #2 Search Engine Lasted One Day
#10The TC hype machine's two-step pass is operating at full efficiency: 1) Make a dramatic generalization from obviously-inadequate data. 2) Write a followup when better data proves it wrong.