It's not that simple. Every study takes assumptions, simplifies things and is limited by the range of real life conditions the authors know about. It's also influenced by the economic doctrines everyone learns in college and most never question after, because they're often presented as laws of nature.

I think the most common "mistake" is that most economists are used to thinking about money in absolute terms, but in real life it's a lot more useful to treat prices as a percentage of your income. That means the utility of money is not linear, so redistribution is good by itself unless it hurts growth so much that average incomes start going down in real terms.

The other one is way deeper and harder to fix but I don't think a lot of people actually believe it, they just use it implicitly in their research. It's that the goal of economics is to maximize efficiency (measured by ROI = profits), not to deliver the best outcomes for the greatest amount of people.

From this point of view a platform like Doordash is efficient because they underpay workers and overcharge customers, and so are surveillance data brokers. That's clearly not a perspective that gets us into a better society. But measuring quality of life is much harder than taking two numbers every company is legally required to count.

Sure, ideally you should dig deep. I did that on a lot of the minimum wage papers and discovered just how deceptive and misleading they were trying to be - mostly using carefully crafted data and assumptions which were patently unrealistic. Sometimes they would smother those wrong assumptions with incredibly elaborate math.

Not everyone has the time, energy or patience to do that though. Journalists certainly don't and the general public is more inclined to be drawn in by a nice clickbaity story that makes them feel smarter than their friends (which is the market segment freakonomics services).

Point being if you were to make an assumption, "pop economist says that popular thing thing that is bad for profits is bad for you too is probably bullshit" is actually a fairly safe one.