Make an ASS out of U and ME

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Make an ASS out of U and ME

May 10, 2021 | General | 2 Comments

In 9th grade, I had a basketball coach named Mr. Bean. His name did not match his stature, though his large voice did. I had never experienced yelling in my direction like that before – and maybe haven’t since. The words he yelled weren’t harmful – it was just his way of communicating with his players in a gym. But it was hard for me to hear the actual words over the volume. It was intimidating and jarring to my freshman self and after a week or two of practices, I really wanted to quit. This was one of those times I now thank my parents for providing enough pressure to give it more time. It did quickly get to the point that I could actually hear what he was saying and I have fond memories of him and of that season. There’s one memory in particular that continues to resurface on a regular basis in many aspects of life. Of course, I didn’t appreciate it in the moment, but I guess that’s not surprising.

I’m not sure I remember the exact context he first said it, but I’m guessing it had to do with us moving too fast and making assumptions about what our teammates were going to do before waiting just long enough to reality check our assumptions. Anyway – my memory is that he surprised us all (the first time) by saying – in that deep, loud, bellowing voice – “DO YOU KNOW WHAT ASSUMING DOES?!!!” I’m sure we all looked at him with wide, questioning eyes – having no idea what answer he was looking for. He let the question hang in the air just long enough to make us a little nervous. Then, “IT MAKES AN ASS OUT OF U and ME!!” – with a little smile. If I remember correctly, it took a second or two for it to sink in, and then it just stuck. I assume (ha) the phrase is pretty common, at least in the U.S., but I have only heard it used a handful of times since that memorable first exposure.

Fast forward about 30 years and much of the time I feel like I’m swimming in a deep bottomless pool of assumptions, just trying to keep my head above water. Sure – assumptions related to Statistics (as I’ve hit on before here, here, and here and will continue to hit on in the future), but the pool extends far beyond those. There are the bigger assumptions underlying how we do science, what we value in our culture, how we go about our days. There are the little assumptions I make each day about my kids, my friends, my dog, and then the assumptions I, myself, make about myself.

Clearly we can’t go forward in living life without making assumptions – of various types and from many different motivations. They are necessary, but they are also tricky and even dangerous. I see the trickery and danger come in mostly when we are unaware of the assumptions we are making – either purposely ignoring them or unaware out of sheer ignorance. We humans are so good at ignoring the assumptions we make, or at least pretending as if they are facts or reasonable expectations, rather than artifacts of our own minds created to make life tractable. We all make mistakes through our assumptions on a daily basis, whether we admit it to ourselves or not. And I doubt there are many who would disagree with me on that.

I find it fascinating that we seem to believe (or assume!) that we can rise above the human challenge of recognizing and acknowledging assumptions when we really want or need to — like when we turn to doing science. We often pretend as if we can just write down all of our assumptions and go forward – we include the ones that are easy to write down (particularly those related to theory and/or mathematics) and largely ignore others. We fool ourselves with going after the goal of “objectivity” (or at least trying to convince others of it), rather than the goal of awareness and contemplation of assumptions — or spending real work on where might be fooling ourselves. In the practice of Statistics, there is a general expectation to try to “check” the low hanging fruit assumptions, but even that is often carried out under the wrong assumption that we can conclude whether the assumption is “met” or not by looking at a little data.

But my message for this post was supposed to be simple. My 9th grade experience keeps popping up into my consciousness – and there is something useful in here. It’s less of an accusation or warning and more of a simple question used to trigger reflection. How am I likely making an ass out of myself – or you – through my assumptions? I think we could benefit from having that question bouncing around in our heads more often (in all areas of our lives). Or maybe you prefer the wording in “How am I likely fooling myself?” – but it doesn’t have quite the same ring to it. A little mantra to remind ourselves to try a little harder not to fool ourselves.

When something big happens in our lives to make us realize how good we are at fooling ourselves and others, it’s hard not to then see it everywhere and start questioning everything. As long as the questioning doesn’t become completely overwhelming, it seems to me to be mostly a positive thing. Which assumptions are likely to make an ass out me or someone else? Is the risk, or benefit, of the assumption worth it anyway? Will openness and honesty upfront about assumptions at least take some of the sting out feeling or looking like an ass later? I think so. Our inherent overconfidence or arrogance toward an assumption is ultimately what leads to the sting – not the problem with the actual assumption itself. Sure, questioning can make us feel a little crazy, but it can also be embraced as just the way life is – including science and statistics. We will continue to make asses out of ourselves and others, but maybe less often or to a lesser degree?

We all know our lives and work depend on assumptions. The key is somehow figuring out which ones will eventually make an ass out of us. And that’s not easy. But it’s worth thinking more about.

About Author

about author

MD Higgs

Megan Dailey Higgs is a statistician who loves to think and write about the use of statistical inference, reasoning, and methods in scientific research - among other things. She believes we should spend more time critically thinking about the human practice of "doing science" -- and specifically the past, present, and future roles of Statistics. She has a PhD in Statistics and has worked as a tenured professor, an environmental statistician, director of an academic statistical consulting program, and now works independently on a variety of different types of projects since founding Critical Inference LLC.

2 Comments
  1. Andrew Gelman

    Megan:

    One step forward, I think, is to figure out examples where the method we’re using gives wrong answers. This is related to the idea in mathematics of probing the domain of a theorem by constructing counterexamples; see discussion here.

    • MD Higgs

      Andrew – Thanks for the comment and relevant mathematics related story and insight. I agree that figuring out examples where an assumption leads to wrong answers – and thus fools us – would be a step forward. I guess there is plenty of work done on robustness of models/methods to violations of some assumptions – but those are the low-hanging-fruit assumptions, and simulations of scenarios where things can go wrong are necessarily limited by too many degrees of freedom. It also requires a definition of “wrong” – which comes with its own assumptions. What I find myself wanting is just some real arguing – not arguing that an assumption is ‘met’, but arguing why an assumption might be reasonable in a particular context and why – even if we know we’re wrong to some degree. If people really engage in this exercise, it seems like there should be more arguing over more sketchy assumptions that might be more likely to lead to answers that are more wrong (that’s a lot of ‘more’!). I think examples of where things go wrong based on theory or simulation of simple cases can be a part of an argument, but won’t get us all the way there. I think we need to put our judgments and decisions out there and speculate on what is most likely to make us look like a fool – and explain in a way that invites others to engage, rather than hiding assumptions behind mathematical notation or sophisticated models. It just seems we need greater expectations for effort spent justifying our choices – regardless if they are ultimately deemed too wrong (under some criteria) when we have more information.

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