80% of the time? Maybe if you count the entirety of human history, but the process becomes more and more accurate with new discoveries and better observational technologies. That, and count the people that use it incorrectly. Individual scientific experiments usually have an accuracy of around 90-99%, and each repeat of those experiments makes the accuracy of the results even higher. Professional scientists usually aim for no greater than a 5% margin of error.
While that would be obvious fallacy, that would be a claim made without an experiment. Also, what if the ground was too rocky to travel without shoes? Then I could honestly say that I wouldn't have picked apples without the shoes, because I wouldn't have been able to get to them without cutting up my feet, and therefore would have not gone outside.
Nothing, of course, but I fail to see how this relates to science, and not philosophy. These are philosophy designed problems, and philosophy doesn't do actual experiments.
That's just playing around with semantics. I can infer tons of ways the sneakers can be necessary to pick the apples, without them literally picking the apples. Experiments account for those possibilities, when done correctly. That's what positive and negative control groups are for.
I would like a citation for this 80 percent you bring up.
Eighty percent of non-randomized studies are later convincingly refuted.
You will find 13,700 hits for that at
https://www.google.com.pe/webhp?sou...randomized studies later convincingly refuted
The original source was an article on the Atlantic entitled "Lies, Damned Lies, and Medical Science." This article is no longer available on its original website, but a Google search pulls up multiple PDF files, which may or may not contain the original article.
Now, I am well aware that scientists claim that science is accurate because the p-value of 0.05 prevents 95 percent of false findings. This is completely false. To take a simple example, if we imagine that 20 teams are independently studying whether reading the Bible causes an increase in cancer risk, what is the likelihood that a positive correlation will be found?
35.8 percent all teams find no correlation.
37.7 percent chance one team finds a positive correlation.
18.9 percent chance two teams find a positive correlation.
6.0 percent chance three teams find a positive correlation.
1.3 percent chance four teams find a positive correlation.
and most of the remaining 0.3 percent chance will be consumed by five teams finding a positive correlation.
These numbers don't even include
p-hacking.
You see, the basic problem is that
you don't understand math. You think that if a specific study has a 95 percent confidence interval that there's only a 5 percent chance that the conclusion is wrong. In reality, that p-value tells you
absolutely nothing.
P-values are not as reliable as many people assume.
To determine whether you understand p-values, please answer the following questions true or false:
1. If p=0.05 then the null hypothesis has only a 5 percent chance of being true.
2. A non-significant difference (p>0.05) means that there is no difference between the groups.
3. A statistically significant finding is clinically important.
4. Studies with p-values on opposite sides of 0.05 are conflicting.
5. Studies with the same p-value provide the same evidence against the null hypothesis.
6. P=0.05 means that we have discovered evidence that would occur only 5 percent of the time under the null hypothesis.
7. P=0.05 and p less than or equal to 0.05 mean the same thing.
8. P-values are best written as inequalities (i.e., p<0.02 when p=0.015).
9. P=0.05 means that if you reject the null hypothesis, your probability of a type I error is only 5 percent.
10. With a p=0.05 threshold for significance, the chance of a type I error will be 5%
11. You should use a one-sided p-value when you don't care about a result in one direction or a difference in that direction is impossible.
12. A scientific conclusion or treatment policy should be based on whether the p-value is significant.
Check your answers by clicking
here.