Google is your friend, but you have to learn how to use it carefully.
Facebook is a den of lies, trust nothing there, or twitter, or other social media.
With Google, you have to note the source (are they an ideological think tank? beware - they raise money by slanting to their readers and funders), and look for confirming and contradictory sources.
Google Scholar is a search engine for academic and consulting articles.
Be more skeptical of those who agree with your pre-conceived notions, b/c it's human nature to engage in confirmation bias, that is, to consider sources to be more reliable if they agree with you.
And keep in mind that social science is far more similar to medicine than physics, that is, the data is dirty, it's hard to perform experiments that are valid, and left-out variable error (those unknown unknowns) is ubiquitous, so don't take statistical significance too seriously, robustness (i.e. when different studies using slightly different models come to similar conclusions about the importance of variables) is as or more valuable.
The most important thing to remember with statistics is correlation is not causation, a good story is needed to explain the results, if it seems to violate common sense, it's probably in error.
It's OK to say the evidence "suggests" without claiming too much, knowledge is often a one step back, two step forward process. And extremely complex systems, like economies and societies are fundamentally resistant to accurate modeling, at best we can develop better ad hoc models that predict better than pure guesswork.