wellwisher
Well-Known Member
Applied science may start out as both assumptions and facts, especially if you are doing early R&D from scratch. But as the concept evolves, and the assumption used, become proven facts, the final development product can become a 100% fact of reality; iPhone. Applies science has the most control over the ratio, since the free market only wants to buy real things that are complete and self standing.It’s challenging to assign exact percentages to how much each type of science relies on assumptions versus facts, as this can vary widely depending on the specific field, research context, and methodology. However, we can provide a general idea of how assumptions and facts interplay in each type:
These percentages are rough estimates and can vary significantly. However, none of them say: Assumptions: 0%, Fact: 100%... so why do so many people still think that anything determined by science is now and will forever be 'a fact'?
- Experimental Science:
- Assumptions: ~20-30%
- Facts: ~70-80%
- Experimental science relies heavily on empirical data and observable facts, but assumptions are made in the design of experiments and interpretation of results.
- Theoretical Science:
- Assumptions: ~50-70%
- Facts: ~30-50%
- Theoretical science often starts with assumptions to build models and theories, which are then tested against empirical data.
- Applied Science:
- Assumptions: ~30-40%
- Facts: ~60-70%
- Applied science uses established facts to develop practical solutions, but assumptions are necessary when applying these facts to new contexts or technologies.
- Natural Science:
- Assumptions: ~20-30%
- Facts: ~70-80%
- Natural sciences are grounded in observable phenomena and empirical data, though assumptions are made in forming hypotheses and models.
- Social Science:
- Assumptions: ~40-60%
- Facts: ~40-60%
- Social sciences often rely on assumptions about human behavior and societal structures, balanced with empirical research and data.
- Formal Science:
- Assumptions: ~10-20%
- Facts: ~80-90%
- Formal sciences like mathematics and logic are based on established axioms and logical reasoning, with fewer assumptions compared to empirical sciences.
- Interdisciplinary Science:
- Assumptions: ~30-50%
- Facts: ~50-70%
- Interdisciplinary sciences integrate methods and knowledge from multiple fields, requiring assumptions to bridge gaps between disciplines.
Is such a belief in 'scientific infallibility' akin to religious beliefs with scientist being their 'elders'/'priests' etc.?
Interdisciplinary Science is interesting in that the assumptions needed to help bridge two different disciplines, can create more assumptions in the originals fields. The more specialty fields, can lose track of the forest, because of the trees; details. While someone with a wider view of the forest, from the hill, can see the layout of the land and show those things at the interface, not currently seen. That extra data may require revisions in the connected fields. Or a flag planted in the middle and developed from there.
Math is similar to applied science, with the goal a tangible simulation of some aspect of reality. But this may still require intentionally leaving in some assumptions, such as in video game math, which may need the assumption of infinite lives to make the game play less frustrating. Math is like a faithful horse that the driver; mathematician, can lead anywhere; based on the needed assumptions in the final product.
Theoretical science uses math and logic to extrapolate assumptions to conclusions, that then get tested to see if this all works. Theoretical Physics experiments are often difficulty and expensive to do, so more time is about simulating assumptions with math to b more cost effective.
Empirical science generates the data and draw the best curve, which may not touch all the data. But we develop a theory from there. Like theoretical science this may then become an extrapolated assumption to predict the future. But since the original theory is short of a fact; does not touch all the data, it can fall short of the future and just remain in the haze. It linger or may require new assumptions.