Inglés C2 - The trouble with big data? It’s called the ‘recency bias's

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Questions and Answers

What is the rate at which data has been increasing in the world for the last three decades?

  • 5 times every two years
  • 10 times every two years (correct)
  • 15 times every two years
  • 20 times every two years

What is the consequence of the rapid increase in information?

  • The present moment is less significant than the recent past
  • The present moment looms far larger than even the recent past (correct)
  • The present and recent past are equally significant
  • The recent past is more significant than the present moment

What is the problem with big data?

  • It overlooks history (correct)
  • It focuses too much on history
  • It is biased towards the future
  • It is biased towards the past

Why are short-term analyses invalid and misleading?

<p>They do not take into account historical context (B)</p> Signup and view all the answers

What is the bias towards the present engrained in?

<p>Technology (B)</p> Signup and view all the answers

What is the challenge in dealing with big data?

<p>Determining what is worth preserving and what to cull in the name of knowledge (A)</p> Signup and view all the answers

What is "intelligent forgetting"?

<p>Forgetting irrelevant data to keep the larger continuities in view (C)</p> Signup and view all the answers

What is the limiting factor when dealing with big data?

<p>Time (D)</p> Signup and view all the answers

Why is it important to choose what not to know?

<p>To determine what is worth preserving and what to cull in the name of knowledge (D)</p> Signup and view all the answers

Why does time become more important in softer sciences?

<p>Time itself becomes a filter in softer sciences (D)</p> Signup and view all the answers

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Study Notes

  • The amount of data in the world has increased by about 10 times every two years for the last three decades.
  • Such a rate of information increase means the present moment looms far larger than even the recent past.
  • Big data tends to overlook history, leading to short-sightedness and recency bias.
  • Short-term analyses are invalid and misleading.
  • The bias towards the present is engrained in most technology surrounding us.
  • The challenge is to determine what is worth preserving and what to cull in the name of knowledge.
  • "Intelligent forgetting" is needed to keep the larger continuities in view.
  • Time is a limiting factor, as there is no more available attention, board members, or hours in the day.
  • What you choose not to know matters just as much as what you do in an era of bigger and bigger data.
  • The softer the science, the more important time itself becomes as a filter.

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