More content, more tools, no time for understanding of the full scope of analysis.
Statistical education has called for the use of real data for a long time and it is still woefully absent in undergrad statistics and probability courses. Students are given clean/cleanish data so they can be evaluated on the correct application of tools, not on a full stack process of data sense making. When I took over our stats course I took out the coding (instructors were arguing over R vs Matlab) and put in excel. Excel opens their eyes because it can’t make math invisible like R can...they can’t obfuscate their mistakes in abstractions.
It’s hard because doing that is at the edge developmentally of young adults...but it’s like giving them a Ferrari as a present for their drivers licenses when we teach this stuff. If experts can’t do it right, think about the implications of teaching them to 19 year olds.