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</p> Signup and view all the answers

    What is the bias towards the present engrained in?

    <p>Technology</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</p> Signup and view all the answers

    What is "intelligent forgetting"?

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

    What is the limiting factor when dealing with big data?

    <p>Time</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</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</p> Signup and view all the answers

    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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