The High Cost of Not Doing Experiments (2015)
behavioralscientist.org
behavioralscientist.org
* Clearly laying out the goals that bill sponsors are trying to achieve with the proposed change as well as the reasoning driving the change
* Clearly articulating a set of metrics by which we can judge the efficacy of the program or change
* Defining a period in which studies or review will be conducted to evaluate efficacy and who will be funded to do them
If the change is later reviewed and it is found to be ineffective, it should either be forced to be modified or immediately rolled back. This would protect against a whole host of legislative silliness such as pork belly / vote buying projects, bill scope creep, the immortality of improperly validated programs as mentioned in the article, and knee jerk reaction regulations after tragedies or in the face of anecdata and moralizing.
So when you say it "should be" you are advocating perhaps a difficult path for humanity. I personally would like to see humanity try to go down that path of improving our evolutionary fitness over our environment, but maybe to do that we need to recognize this inconvenient truth. I don't see how these things you mention change, otherwise.
Youtuber CGP Grey has a related video about this reality of leadership: https://youtu.be/rStL7niR7gs
A somewhat analogous example is during the Reagan administration, they announced a rule that no new environmental regulations could be passed unless they performed an exhaustive cost-benefit analysis. It turns out that such an analysis is impossible. It was rather transparently recognized as a way to deliberately cripple the EPA.
A less analogous yet instructive example of government trying to regulate itself: Most states have "balanced budget" laws at the state level, yet most states run deficit budgets.
https://en.wikipedia.org/wiki/Policy-based_evidence_making
That is to say, governments in charge of deciding goals, metrics and studies/reviews will inevitably cherry-pick, pay consultants, and fund those things which selectively support their desired policy-implementations and outcomes.
You may say: "well, make the thing independent", but that's easier said than done.
You might also say: "well, it will be immediately obvious if anyone is doing this", to which i'd respond that it really isn't immediately obvious to most people, and if the efficacy of policies/metrics/evaluations were immediately obvious, we would often negate the need to be attempting/implementing the additional overhead of formally introducing evidence-based policy (since we'd commonly agree on policy and whether it worked).
Which is of course not to say that evidence/experiments is not noble or the right thing to do, but more so to point out that governance is a far tricker situation than just saying "well, we'll fix it by legislating that governments have to do the right thing..."
At the very least, set up a criterion (or criteria) at which we will agree that a policy has failed.
Betsy DeVos is being disruptive in U.S. education. Will it work? Take the US rankings now. If in four years our ranking has fallen, we try something else.
Try a tax cut. If the economy is x% worse 18 months after it going into effect, it failed.
I'm sure when we first start this we will struggle to get the metrics right and to ask the right questions. But we should aim in that direction.
I suspect that the reason we don't has to do with money, and in a bad way.
That's an understatement. Numerous studies have found that D.A.R.E. increases drug use:
https://en.wikipedia.org/wiki/Drug_Abuse_Resistance_Educatio...
Note: I don't have any study to support this but it's my hypothesis.
https://en.wikipedia.org/wiki/Cannabis_(drug)#Adverse_effect...
But cocaine, that's some iffy stuff. It's possible to get addicted, even snorting hydrochloride salt. And once you get into freebasing aka crack, you're also looking at ~permanent downregulation of dopamine receptors. So basically, there's no more feeling happy :( Without the cocaine, anyway.
...which helps the prison-industrial complex (in California at least) and the DEA. This makes me wonder...
This wording is very suggestive, and I think that part of the problem might be 'the government's beliefs'.
When I was studying abroad in the US I was surprised by the lack of nuance in the information provided by the university. It stated that 1. Drunk sex equals rape (but only if you are male) 2. Drinking alcohol can lead to pregnancy (without any elaboration).
I found it very hard to take any drug or alcohol-related information from the university serious after reading that. You feel like a little child that's being lied to, and I can see how this increases drug abuse. The zero-tolerance policy for drugs and alcohol under 21 also feels very distopian, and is enforced in a very dogmatic way, without much common sense.
Having a theory also enables us to get more out of a single experiment. Think about how the Michelson–Morley experiment led to Einstein's theory of relativity and all it's implications.
We don't have any such framework for the social sciences. We have trouble generalizing from the results of one experiment to another experiment with the situations slightly altered.
The overarching goal of behavior analysis is to treat the study of behavior as a natural science. That is, to identify orderly relations (i.e., laws) between behavior and the environment.
Some (admittedly weak) examples illustrate this point: despite our knowledge of physics and our exploitation of this knowledge in the form of aircraft and rockets, flat-earth believers and those who don't believe/understand acceleration abound.
We know the mechanisms by which vaccines work - and could go observe the diseases they prevent by simply taking a trip, or reviewing public health data from different countries. But, anti-vaccine belief is also increasing.
There are many more of these stories, where the 'easy' idea beats out the well-established scientific consensus. Thus, I'm not sure that a fundamental understanding of how influence/addiction/personality work would change political support for these ineffective programs.
This is not true in the social sciences where it's very hard to do physics-grade research, especially given that the social sciences are very politicised, and research is often done to prove a political or moral point.
So in practice our understanding of personal and social/political psychology is pre-Copernican. There's a lot of moralising - which you will agree or disagree with, depending on your predisposition - but very little high quality research into the way that moral and political decisions are made individually and collectively.
We're left with a mythology of free objective democratic choice in politics which is clearly naive and reliably breeds monsters, but as yet there isn't a better model of choice to replace it.
I don't believe that it would change popular opinion - indeed, flat-earthers and other 'anti-intellectual' fads continue despite not being accepted by serious researchers.
This isn't any different from other sciences, where you have one hypothesis, test it, and it doesn't go the way you thought, and then people are left scratching their heads for a bit, until someone guesses right and demonstrates it experimentally.
Those mathematical models in physics you mention we accept because of debates over which was correct, for example, followed by experiments (and observations!). You see gambles on explanations of unexplained results in molecular biology all the time that don't really involve the same level of mathematical precision.
I think you're overstating the extent to which scientific process occurs in all disciplines with very precise mathematical models with low stochastic error. As the complexity of your system increases, the residual noise in any given model, especially models with little established information, will be high.
They are using it to do a random trial of basic income. The results to date are ambiguous, showing both that it's hard to get a large n and hard to pick the measurement criteria.
Also: although I agree with the thrust of the book, there are additional issues for programs like Head Start: 1> it's hard sometimes to find or identify the kids who need it most, so by making it broader you improve your chances of reaching those most at need, at the cost of "helping" others who may not really need it 2> when you make programs universal, you get broader support than when you only extend it to those most in need. Look at the additional restrictions just placed last month on those in the US getting public assistance -- restrictions which make it hard for those most in need to actually get the benefit! This is why the New Deal extended social security to everyone and dressed it up it so that it appeared to be an insurance scheme you paid into: everyone would feel they "earned it" so nobody would want to cut it.
Thus in the US school meals are not universal or free, which stigmatizes the kids who get them. In most developed countries the kids all get lunch in school, which helps the nutrition of the poorer kids. Likewise, making public transport free would pull cars off the road, making drivers happier...but when they feel they are paying for "those people", voters typically hate using road taxes to pay for streetcars and subways. Perhaps the ability to tax self-driving vehicle fleets will change that.
This sort of goes back to the Finnish observation of the difficulty of making measurements.