From Data to knowledge via fake news


  • What’s the difference between data, knowledge, and information.
  • Take a look at these raw numbers: 8091, 8848, 8167, 8611, 8586, 8485, 8163, 8126, 8188, 8516
  • And if we put them like this? 8848, 8611, 8586, 8516, 8485, 8188, 8167, 8163, 8126, 8091
  • And what if I said that they are heights of the tallest mountains in the world would you believe me?

Claude E Shannon, the father of modern theory of knowledge, separated all three definitions.

  • Raw data is facts or figures awaiting processing.
    • Data is made, not found: it is manufactured by careful measurement, as a result of a particular process. Infallibly accurate record.
  • Information is data that structured in specific way and within certain context, that it is easily understood.
    • The same as data it is created but in contrast it is meticulously arranged and contextualized. Information exists in the absence of knowledge.
    • Information is riddled with noise, and in order for it to become useful we have to discern signal among nonstopable clamor of everything and everyone. ![[Essentialism The Disciplined Pursuit of Less#^839ae0]]
      • Taleb echoes this ![[Antifragile books 2 and 3#^f81513]]
      • Look up words NOISE in antifragile book. For more information.
      • [[The Poverty of Historicism — Karl Popper#^4e5d3f]]
  • Knowledge is verified information that we have good reason to believe is true. ^387fd7
    • Verification is a reliable process for testing the truth of information. [[Critical thinking#Explanation theory hypothesis]].
    • The process of gaining knowledge is messy and open-ended. It involves a lot of questions about what is possible for us to know, how we know it, and where and how different sources of information disagree. ![[What is knowledge?#^b26d96]] ^b38b8a
    • It requires information, and relies heavily on particular decisions about how and what we measure, test and know things in the first place.
      • This frames knowledge around specific assumptions.
      • Thus, important to be as transparent as possible about assumptions because no knowledge is final, neutral, and exhaustive.

Everything that asks for social proof have to answer two questions:

  • Are you correctly interpreting other people’s beliefs?
  • Are these beliefs reasonable, to begin with?
  • Yet there is another side to the question of data – information – knowledge that has been discussed on the forum.
    • data — information (What, where, when?) — knowledge (how?) — wisdom (why?).
    • ![[data-info-know-wise.png]]

Nice addition for deeper understanding of [[What is knowledge?]] will be [[Синтезированное знание]]

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