← All chapters

Tractatus Logico-Philosophicus · Chapter

5.152 explained

Wittgenstein defines independent propositions as those sharing no truth-arguments, assigning them a probability of 1/2.

What happens

Wittgenstein defines independent propositions as those sharing no truth-arguments, assigning them a probability of 1/2. He explains that logical consequence yields probability 1, making logical certainty a limiting case of probability, with application to tautology and contradiction.

Free preview opens on this chapter — companions, themes, and character notes appear beside the text.

Narrative arc

Story tension across the book — this chapter sits in Falling action.

SetupAftermathClimax
  • Setup
  • Escalation
  • Breaking point
  • Aftermath
  • Closing

This passage marks the story’s dramatic climax because it presents the moment when the protagonist’s obsessive…

Full beat labels and climax notes unlock in the reader.

Follow the arc while reading

Themes in this chapter

  • Logic and Tautology

    The limiting case of probability is applied to tautology and contradiction, showing logical certainty as a boundary of probabilistic reasoning.

Characters to notice

  • Mr. Wittgenstein

    Author of the Tractatus, presenting the logical relationship between independence, probability, and logical consequence.

Key passages

  • “Propositions which have no truth-arguments in common with one another we call independent.”

    Propositions that share no truth-arguments are termed independent.

    Defines independence in terms of disjoint truth-arguments.

  • “Independent propositions ( e.g. any two elementary propositions) give to one another the probability ½.”

    Any two independent propositions, such as elementary propositions, each confer a probability of 1/2 on the other.

    Establishes the baseline probability for independent propositions.

  • “If p follows from q , the proposition q gives to the proposition p the probability 1.”

    When q entails p, q assigns probability 1 to p.

    Logical consequence yields certainty.

  • “The certainty of logical conclusion is a limiting case of probability.”

    Logical certainty represents the extreme case within the spectrum of probability.

    Probability theory subsumes logical deduction as a boundary case.