Reading here and in other places it seems to me nothing's changed since 2016 where many people predicted that Trump would lose largely driven by them wanting him to lose as opposed to actual data that was there, the biggest pile of manure to come out of that year was the idea the "polls were wrong".
No they weren't the polls were off by slightly over 1% in terms of the difference between Clinton and Trump, yet the way those polls were read as some indication that not only Trump would lose but as almost an absolute certainty was what led to so much surprise.
I suggest people really look at hard data, analysis and political predictions and NOT from the very same people that got it so wrong in 2016.
As a note here's Politico making a point that Trump would win in a landslide if the election were held today based on economic models: https://www.politico.com/story/2019/...ection-1230495