Whether it's a clinical trial, or a psychological study with n participants, or a look at how changes in x soil conditions affects the y tree. Anything where data samples are taken and statistically analyzed is prone to p-hacking and after-the-fact hypothesis changes.
This example happens to be for a narrow set of studies: clinical trials for cardiovascular drugs/supplements. The take away from that graph applies broadly.
Until you can ... they are for all intents and purposes.
So yes... public posted information should be layman ready
More importantly, I can make whatever I want public, and I can do so with whatever audience I have in mind.
So inciting panic online is fine but not in a theater ?
Putting something in the public domain allows other people with knowledge in the field to use the information. It doesn't mean that the lay-person should be able to digest it.
The public domain isn't some lowest common denominator clearing house of information, it's just public.
The "laymen" are the ones funding all of this through their taxes. I'm sure scientists would love it if the plebs just shut up and kept on giving them money, but it doesn't work like that. In fact that is why it is becoming harder and harder for scientists to communicate with the public to affect policy.
Clinical trials are not basic research, though they rely on a great body of basic research, and are themselves experiments. Requiring that clinical studies have clearly defined end points serves the purpose of ensuring that the results are robust and well understood. This is important because the end goal of a clinical trial is developing a treatment of some sort that will go into many humans, and mistakes can be very harmful.
Choosing an appropriate endpoint for a clinical trial can also be very challenging. Say for example you're trying to advance a drug candidate for treating cardiovascular disease. You have many choices for how to measure that - chest pain, resting heartrate, cholesterol etc. It's very much possible that your drug does improve cardiovascular health, but your trial can fail because you chose the wrong endpoint.
When I perform an experiment, I do so with a hypothesis which is sometimes proven right, and sometimes proven wrong. Either way, the results can be interesting and form pieces of the large puzzle that is a scientific study. Further, questions that are addressed in a scientific study are generally going to be more broad than those addressed in a clinical trial - we don't really do exploratory clinical trials, but exploratory research is a very important part of science. For these sorts of studies, it is often difficult or impossible to have a well defined endpoint such as is required in a clinical trial. One example for you: I hypothesize that enzyme X has function Y. During my studies, I discover that enzyme X actually has function W! If the evidence I present for enzyme X having function W is solid, my results can still be great and useful, even if my initial hypothesis was wrong.
"A reasonable takeaway from this article is that any one scientific study may contain flaws, or show bias, and therefore there is a possibility for it to be confirmed, improved, or disproven in the future. As a result, it is better to take early results with a grain of salt until additional supporting evidence is found, than to take them as gospel.
"It should be noted that these results are due to flaws in the scientific establishment, flaws in the human application of science, and flaws in the humans themselves, but not the scientific method itself. The scientific method itself is sound and can be trusted. You use it every day to see whether the water in your shower is too hot or cold, or whether it is raining outside."
As sample size goes up, the probability that an estimate's confidence interval contains the true value of an effect goes..
A) Up B) Down