Difference between factual sciences and formal sciences


Philosophy
2023-04-26T03:14:42+00:00

Difference between factual sciences and formal sciences

Introduction

Worldwide presence of science, there are two main categories of knowledge: factual sciences and formal sciences. Although both are based on research and analysis, there are fundamental differences between them. In this article, we will explore the Main differences between these two categories of sciences.

factual sciences

The factual sciences are those that are based on the observation and measurement of the natural world. These include disciplines such as physics, chemistry, biology and geology. Studies in these disciplines focus on the world around us, and research results are based on observable and measurable facts. Factual science uses inductive reasoning, through which generalizations are made from observable facts.

In factual sciences, experiments are necessary to confirm or refute hypotheses. These experiments are meticulously designed to eliminate any possible external influence on the results.

Examples of factual sciences

  • Physics
  • Chemistry
  • Biology
  • Astronomy
  • Geology

formal sciences

On the other hand, formal sciences are those that focus on the investigation of abstract models and mathematical concepts. These include disciplines such as mathematics, logic and computer science. Formal sciences use deductive reasoning to reach conclusions from logical propositions.

In formal sciences, experiments are not necessary to prove or disprove hypotheses. Instead, logical demonstrations are used to reach conclusions.

Examples of formal sciences

  • Maths
  • Statistics
  • Logic
  • Computer Technology

Conclusion

In summary, factual sciences and formal sciences are two main categories of sciences that deal with different aspects of knowledge. The factual sciences explore the physical and natural world around us, using inductive reasoning to reach conclusions from observable facts. Formal sciences, on the other hand, focus on abstract models and mathematical concepts, and use deductive reasoning to reach conclusions from logical propositions.

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