Do you consider probablity a true science?

  • Context: Undergrad 
  • Thread starter Thread starter bchandler
  • Start date Start date
  • Tags Tags
    Science
Click For Summary

Discussion Overview

The discussion centers on the nature of probability as a science, particularly in the context of its application in statistics and data analysis. Participants explore the philosophical and practical implications of using probability in scientific inquiry, including its limitations and foundational principles.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Technical explanation

Main Points Raised

  • One participant expresses frustration with probability, questioning its predictive power and suggesting that experimental outcomes often differ from calculated probabilities.
  • Another participant argues that probability theory is based on axioms and serves as a mathematical discipline, which could qualify it as a science depending on one's definition of science.
  • A participant notes that even in traditional sciences, outcomes cannot be perfectly predicted, emphasizing the role of probability and statistical inference in identifying unusual results.
  • Concerns are raised about the reliability of representative sampling in studies like television ratings, with one participant suggesting that misunderstanding this concept indicates a lack of comprehension of statistical methods.
  • A statistician shares a personal view that while statistics may not be considered a science, it is essential for conducting scientific studies, framing it as a branch of mathematics.
  • Another participant posits that probability theory is a statistical tool that supports hypothesis formation and testing, aligning with the scientific method, though it does not lead to definitive conclusions.

Areas of Agreement / Disagreement

Participants express differing views on whether probability and statistics should be classified as sciences. Some see them as essential tools for scientific inquiry, while others argue they are more mathematical in nature. The discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Participants highlight limitations in understanding representative sampling and the predictive capabilities of probability, indicating that assumptions and definitions may vary among contributors.

bchandler
Messages
16
Reaction score
0
I'm currently in a probability and statistics class, and while I can appreciate the concept of trying to keep tabs of large sets of data, I just can't get past the fact that if you actually run the experiment, the results will probably (ironically) come out differently that what you calculated. I thought science was supposed to be about precisely predicting the results of an experiment. Or is probability more about how an infinite set of experiments will turn out? For this reason it is my least-liked class at the moment... just wondering if anyone else feels the same way.

Similarly, how can Neilson Media (sp?) take 5000 TV boxes, and calculate television ratings for a nation of 300,000,000? I understand the concept of representative sampling, but if they get the "wrong" sample of a certain group, it would mess up the whole study.

And yes, I know the quantum area of science is filled with probability. I hope humanity one day discovers how to precisely predict sub-atomic phenomena.
 
Physics news on Phys.org
Probability theory is built on axioms that are ideal formulations of things we often observe in data collection (for the most part at least). It's axiomatic foundation makes it a full-fledged mathematical discipline, and a science, I guess, depending on whether you include mathematics in the definition of science. Limiting science to predict exactly what will happen given some initial conditions is extremely handicapping... sometimes the best or the most efficient thing we can do is use probabilities.
 
Last edited:
Even in the sciences (the ones people believe to be the "real" sciences) designed experiments have outcomes that can't be perfectly predicted. Broadly speaking, probability and statistical inference are the tools used to distinguish "unusual" results from the ones expected.
I'm a statistician: I'm not sure I consider statistics to be a science, but I know that it would be difficult to do many scientific studies without it.
 
bchandler said:
Similarly, how can Neilson Media (sp?) take 5000 TV boxes, and calculate television ratings for a nation of 300,000,000? I understand the concept of representative sampling, but if they get the "wrong" sample of a certain group, it would mess up the whole study.
If you have to ask that question, then you don't understand the concept of representative sampling.
 
statdad said:
I'm a statistician: I'm not sure I consider statistics to be a science, but I know that it would be difficult to do many scientific studies without it.
I would consider statistics to be a branch of mathematics, not science. While mathematics is not science (your theorems will be true 10,000 years from now; we're lucky if our theories are perceived to be true for 100 years), it would be nigh impoissible to do any scientific studies without mathematical tools such as statistics.
 
Probability theory, in so far as it relates to the natural sciences, is a statistical tool upon which we form and test hypotheses to lend weight to a given theory. However, it does conform with the 'scientific method', given our interpretations reflect what samples we are working on. It never leads to inductively establishing things but gives us basis for our theories and the hypotheses that follow from them.

Mathematically, its just as Werg22 said, the foundations of the theory are well-laid, and given these postulates, infalliable.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
3K
Replies
6
Views
3K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 11 ·
Replies
11
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
3K
Replies
3
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K