Yeah, I mean, the synoptically-evident violent events have always been the exception rather than the rule. Obviously our ability to assess that is somewhat limited by the fact that we only have a few decades of reliable historical data (and less than 15 years of data assembled according to the current ratings standards), but the majority of violent tornadoes don't happen in massive, synoptically-obvious events like 4/3/74 and 4/27/11; they happen in more conditional environments where the mesoscale factors were decisive. We just aren't at a point in our scientific understanding of the atmosphere where we can predict how those features will evolve with the necessary precision to avoid busts, so it's going to happen sometimes in these setups that are conducive to violent tornadoes but require the mesoscale conditions to develop favorably.
4/27/11 I think warped some people's expectations for significant tornado events where they expect anything that draws a high risk to be a nailed-on major outbreak and feel mislead when we don't get a dozen violent tornadoes out of it when that was never the norm. I'm obviously not an expert so these are just armchair takes, but I think those expectations are influenced by availability bias. 4/27/11 is the reference point for a lot of people (especially those who became interested in the weather because of that event), so that becomes their standard for a major outbreak rather than recognizing that it was an extreme outlier, so any conditional setup that underperforms its potential seems like a major Forecasted Convective Amplification Deficiency rather than what it was: a conditional event that might or might not happen depending on less predictable factors.
Of course, there's a role for the forecasters and the science communicators as well in adequately conveying that uncertainty, and there have been some obvious cases recently where the forecasters expressed a level of confidence that, in retrospect, wasn't justified. Of course the public doesn't understand probability and uncertainty very well ("omg u said 10% chance of rain and it rained at my house u r an idiot"), but uncertainty is an integral part of science and expressions of high confidence have to be judicious. It's a really delicate balancing act of creating the right amount of concern in the public and not more or less, because people who don't pay serious attention to this stuff aren't going to understand when you convey high confidence in something that doesn't happen because of a conditional failure mode. I guess all you can really do is take the data and try to understand what happened so you can make a better forecast next time.