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Data makes you smart, but it doesn't make you wise | Timothy Snyder | Big Think

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September 18, 2018
by
Big Think
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Data makes you smart, but it doesn't make you wise | Timothy Snyder | Big Think

TL;DR

Data does not automatically produce knowledge, and the assumption that more data leads to better understanding can be misleading.

Transcript

I think that history is a way of dealing with data. One of the things I’m really struck by when I give lectures in Silicon Valley, for example, or when I talk to people who are doing things—that I’m very impressed by, and I’m not going to say that I completely understand them—but one of the things I’m struck by is a certain kind of naïveté that dat... Read More

Key Insights

  • 🥺 Data alone does not automatically lead to knowledge or understanding; interpretation and categorization are essential.
  • 🤔 Humanities can provide valuable perspectives to tech and data fields, preventing naivety and fostering critical thinking.
  • ⚖️ The balance between data consumption and production is crucial for individual freedom.
  • 🗯️ Access to factual data is necessary to maintain other rights and make informed decisions.
  • 🥺 Accepting the assumption that more data means better understanding can lead to a precarious position for individuals.
  • 🗯️ The rights and governance of data should be considered for both data producers and consumers.
  • 🤔 Critical thinking about the impact and implications of data is essential for a balanced approach to technology.

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Questions & Answers

Q: Why do people in fields involving data often sound naive when discussing questions of why?

People who work with data may focus solely on the "how" without considering the broader implications and moral/ethical questions. This narrow perspective can lead to a lack of critical thinking and understanding of complex issues.

Q: How can a humanities background complement a tech or data-related major?

A humanities minor or major can introduce computer science or engineering students to broader perspectives and encourage them to question the impact and implications of their work. It helps them think about the "why" and not just the "how."

Q: What is the problem with the way we produce and consume data?

We often overlook the fact that we are both data producers and consumers. We should be aware of how our personal data is being used and consider the balance between the data we unknowingly put out into the world and the data that comes back to us.

Q: How can the balance between data consumption and data production affect our freedom?

One aspect of freedom is understanding how our data is being used. When we receive subjective data designed to manipulate our perception, it can hinder our ability to think critically and make informed decisions.

Summary & Key Takeaways

  • The total amount of data in the universe is fixed, and how we choose to interpret and categorize it is up to us.

  • Simply creating larger databases does not solve the problem of knowledge generation.

  • People in fields involving data often lack critical thinking skills and neglect exploring the "whys" behind their work.


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