So do you feel the pitfalls of probabilistic programming / Bayesian data analysis are potentially more severe than those of traditional methods? I don't get to

So do you feel the pitfalls of probabilistic programming / Bayesian data analysis are potentially more severe than those of traditional methods? I don't get to use that much Bayesian analysis in my work, but I've been toying around with a hierarchical model of content popularity recently: are some topics / authors / genres more popular than others? Frankly finding it hard to separate the signal ("this is what people actually like to read") from the noise ("this is what just happened to be trending and will not be reproducible").