Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.
Interpretation
The quote humorously highlights the confusion and hype surrounding Big Data, suggesting that while it's widely discussed, few truly understand or implement it effectively.
Dan Ariely's quote draws a parallel between Big Data and teenage sex, using humor to illustrate the misconceptions and pretensions surrounding both topics. It points out that while many people engage in conversations about Big Data and claim to be proficient in it, the reality is that genuine understanding and effective implementation are rare. This critique emphasizes the importance of not just talking about new trends but also acquiring the necessary knowledge and skills to actually leverage them.
In practice
During a tech conference, to emphasize the importance of practical skills in data analytics.
To summarize, using money to motivate people can be a double-edged sword. For tasks that require cognitive ability, low to moderate performance-based incentives can help. But when the incentive level is very high, it can command too much attention and thereby distract the person’s mind with thoughts about the reward. This can create stress and ultimately reduce the level of performance.
It is true that from a behavioral economics perspective we are fallible, easily confused, not that smart, and often irrational. We are more like Homer Simpson than Superman. So from this perspective it is rather depressing. But at the same time there is also a silver lining. There are free lunches!
In a world where everyone is behaving honestly, any dishonesty constitutes a big infraction. But, in a world where many people are behaving dishonestly, and the news is filled with stories of their infractions, even big infractions can feel small to the perpetrator.
Because cheating is easier when we can justify our behavior, people often cheat in small amounts: We can come up with an excuse for stealing Post-It notes, but it is much more difficult to come up with an excuse for taking $10,000 from petty cash.
Disasters are usually a good time to re-examine what we've done so far, what mistakes we've made, and what improvements should come next.
It is very difficult to make really big, important, life-changing decisions because we are all susceptible to a formidable array of decision biases. There are more of them than we realize, and they come to visit us more often than we like to admit.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
What turns me on about the digital age, what excited me personally, is that you have closed the gap between dreaming and doing. You see, it used to be that if you wanted to make a record of a song, you needed a studio and a producer. Now, you need a laptop.
There have been people that suggest that we should have a back door. But the reality is if you put a back door in, that back door's for everybody - for good guys and bad guys.
If the Internet teaches us anything, it is that great value comes from leaving core resources in a commons, where they're free for people to build upon as they see fit.
Excellence matters, and technology advances so fast that the potential for improvement is tremendous. So, since becoming CEO again, I've pushed hard to increase our velocity, improve our execution, and focus on the big bets that will make a difference in the world.
The Internet treats censorship as a malfunction and routes around it.
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