Not really what I’m going for.
What I am for is better recognition and acknowledgement on the limits and nature of claims to objectivity. Hence the CR mention, it is a fairly quantifiable way to show how an objective measure is really far more subjective than it is presented as, and understood to be. It isn’t that any of the choices are wrong, per se, but that how they present it as some unbiased measure of a car, when in reality there are biases built into the very assumptions about what to measure.
The same can be, and often is, true all over the place. So trying to be objective is perfectly fine. Claiming absolute objectivity and using appeals to objectivity to lock out other perspectives or discount confounding factors in a study is not. And I think that is where a lot of the push back on objectivity comes from. There is this implication in many aspects of American life, and research studies, that a white man is able to be objective in any case, in a way that minorities and women are not, and so there is an under representation in academic studies from these groups even as the topics may be directly relevant to them.
To turn it in a slightly different direction, here is a recent Freakonomics episode about a variety of things, but one is how much of the studies about group behaviors are fundamentally more limited than presented.
One topic brought up is how a bulk of all studies on group behaviors are done using a non representative sample of people. And as a result many are of limited, and occasionally even produce results the opposite of what the study showed when applied to other cultures. That is because most of the studies are done in W(hite)E(ducated)I(ndustrialized)R(ich)D(emocratic) populations. As such with almost all studies on group behaviors done in WEIRD countries, and a majority still in the US, there are gaps in understanding. How an experiment called ‘the ultimatum game’ where two individuals are involved, one is given $100 and told to offer some amount to the other. If the other person accepts the offer, they both get the money. If they reject it both get neither. So if you offer $2 they will probably reject it out of spite. But when they applied the same research to different cultures, they got vastly different results than the original study, depending on where it was done.
That’s the flaw in believing you fully objective. It is not that the experiment design was wrong, or that the observations incorrect. At a fundamental level the experiment seemed well designed to measure. what they were trying to measure. It was, as much as possible, objective.
But it is also wrong when trying to expand the conclusions beyond the limited scope. Because of the inherent biases built into the system that produced the result. Things that need to be honestly answered and reflected on. Because to simply state ‘we have done XYZ therefore are being objective’ would be to miss the many ways subjectivity comes into play. Not always maliciously, not always with intent. But the simple act of being within a certain culture and context can influence what is viewed as important in ways that drive outcomes.
So I am not advocating for more subjectivity. That would be a false inference. I am merely stipulating that subjectivity is already there, even in supposedly neutral objective measures, and that it is best to acknowledge that and have a broader spectrum of voices present to help tease out the ways that subjectivity presents itself and how best to address it.
In my own day to day there is small ways that personal experience can influence software design. One area of note is names. For cultural reasons women frequently take on their spouses last names. This may be a small thing, but one that pops up in unusual ways. My system will display user names for logs. It gets this from an enterprise system that houses all global corporate data. If you change this name in the source system for us, you would think this would cause our system to update the name.
But it doesn’t. Our system retains their prior last name in the display. It is an extremely minor point in the grand scheme of things, but is evidence of how during the design phase this was not fully considered due to it being implemented by a room full of men. More women in the room may have noticed this sooner and escalated this accordingly. It is a small way in which perception biases due to lived experience can change priorities even without ill intent.