On one hand you have scientists publishing letters of concern regarding glyphosate arguing for more studies to be done because of hints of carcinogenic properties.
On the other hand you have a full blown shill campaign on Reddit and other website, being all like, "there is absolutely nothing to worry about, why do you hate science!". And lobbyists bullying the EFSA into publishing a statement in support of glyphosate so that it could be relicense for further use within Europe.
You can trust science. You just have to be aware of the conflicts of interests. Monsanto hasn't bought every single scientist out there.
Depopulation is necessary and luckily it's also fairly easy.
What is happening here is "lying". The people creating false and misleading scientific results are liars and it becomes a question of taking skeptical views towards sources and knowing who to trust.
What is happening here is "corruption". The people using Christianity to further their own egos and desires are liars and it becomes a question of taking skeptical views towards authoritative figures and knowing who to trust.
Be careful about making Science™ a religion.
Nothing in this world is infallible.
Wouldn't you say mathmatics is the most infallible thing human's have come to creating? The level of rigor in mathematics is much higher and there aren't as many repeatability issues.
Beyond the existing standing question of why more science papers don't publish information like the computer code they used, I've wondered why there isn't a push for "science-as-code". For example, if there was a common DSL that describes science lab automation, then a futuristic science paper would come with some a package that would drive another lab's robots and equipment to do the exact same experiment with the same steps, and let other labs alter the steps as they see fit once they reproduce the same results to toy with the experiment's findings.
Then all the calibration steps of each piece of equipment, all the sampling steps, all the measurement steps, etc. are all completely reproduced as code. Steps only expressible as "human hands do [insert-motions-here]" are translated to waldo motions, pressure sensing, etc.
Then a lab notebook would be filled with human interpretations of what scientists are seeing, hypotheses, etc., alongside a time-series recording of every step taken, environmental metrics measured, expressed in that DSL.
I agree. My brother (Aerospace Eng.) and I (Software Eng.) talk often about this with our Dad (Electrical Eng.).
Given that big business and BIG money has now been proven to have hidden the truth about Monsanto Chemicals, sugar and many other things, how many other things in our would would big business pay billions or even trillions to cover up if they had a study that showed it was somehow harmful?
Just to throw out some ideas, how many trillions would they spend to hide that cell phones are bad, or TVs or "new car smell", or plastic containers for food.
It's quite clear that almost everything in our society that is sold for profit is now backed by trillions and trillions of dollars, and they would hide any ill effects if they could.
It's not that "science" failed us, it's that we let money buy it out, much like democracies too (i.e. unlimited campaign contributions)
In order for science to truly work in advancing our understanding of a given problem all studies both with positive and negative results need to be published. However, that is often not what happens. In academia often only the 'interesting' results end up getting submitted to journals and published. In the private sector the problem is even more pronounced because there is a vested interest in only publishing results with a certain outcome.
I work in R&D and we often do scientific studies that don't get published because they don't advance our companies viewpoint or could harm sales. And of course that makes perfect sense when you are not required to do so. So in the end you have to take that into account when evaluating a study, especially when coming from industry. There could be contradictory results that never saw the light of day.
Now there is a very simple fix to this which would greatly alleviate this problem: Have a requirement for publishing that forces the researcher to submit the scientific hypothesis, planed research methods, and variables to be studied before submitting the final results, no matter what they may be. This also prevents a researcher from cherry picking results after the fact and leaving out variables that cast doubt on the original hypothesis.