An Intro to Causal Reasoning
This spring I was invited to give a lecture on causal reasoning at the Catholic University of America to undergraduates in its honors program. What follows is the outline of that lecture.
General Notes
- we’ll be talking about how to reason about efficient causation
- i.e. one thing making something to be the case or binging something about
- billiard ball-causation
- causal claims don’t all use the word “cause”
- sufficient vs. necessary conditions
- “c is necessary for e”: if e then c
- being a US citizen is necessary for becoming President
- “c is sufficient for e”: if c then e
- being elected by the general population is sufficient for becoming President
- causes are typically parts of sufficient conditions
- severe lack of vitamin C is both necessary and sufficient for scurvy
- striking a match is neither necessary nor sufficient for starting a fire
- going through a car wash is sufficient but not necessary for having a clean car
- sufficient conditions are always sufficient: if X really was all it took to bring Y about today, then X would bring Y about tomorrow too
- “c is necessary for e”: if e then c
- there are two kinds of causal statements we’ll focus on
- general/repeatable == there are many instances of them
- Smoking causes lung cancer
- HIV causes AIDS
- Cold weather causes low tire pressure
- Lack of vitamin C causes scurvy
- Caffeine prevents sleep
- Thanksgiving causes traffic jams
- Turkey dinner causes drowsiness
- particular/unrepeatable == there is only one instance of them
- Terrorists caused 9-11
- John Wilkes Booth killed Abraham Lincoln
- German aggression started WWII
- A meteor caused the extinction of the dinosaurs
- Human CO2 emissions caused global warming
- The pyramids were created by aliens
Reasoning about Particular Causal Claims
- Exercise:
- “JFK was killed by your teacher” – prove me wrong
- arguments for particular causal claims usually involve two steps:
- showing the deductive consequences of a hypothesis (hypothetico deductivism)
- evaluating whether that hypothesis constitutes the best explanation (inference to the best explanation)
- the argument that JFK was not killed by your teacher essentially has this form:
- true causal statements are good explanations
- “JFK was killed by your teacher” is not a good explanation
- hence, the statement is not true
- best explanation reveals normative principles, i.e. “scientific virtues”
- Conservativism: the less rejection of prior beliefs, the better
- Modesty: the more normal, unsurprising, ordinary the better
- Simplicity: the simpler the better
- Generality: the wider the application the better
- Refutability: the more easily refuted the better
- these all apply ceteris paribus
- this form of evidence is relatively weak and inconclusive
- underdetermination of theory by data: there are always theories that we haven’t thought of that fit the data as well as those we have
- confirmation holism: any given prediction is the result of many beliefs, so “anything can be held true, come what may”
- sometimes it’s all we have
Reasoning about General Causal Claims
- Exercise:
- you begin college in the fall
- you’ve were a constant weight for most of high school
- when you return from college, you’ve gained 25lbs
- how would you figure out what caused you to gain the weight?
- did you start eating more?
- did you start eating differently: more salt, more bread, more dessert?
- did you start eating late at night?
- did you start snacking?
- did you stop exercising?
- did you start taking some new medication?
- did you change how you were exercising?
- did you start drinking?
- did you start smoking?
- did your stress levels increase?
- Notice: you’re trying to find things that changed
- Another observation
- what is the first thing a car mechanic wants to know: how to reproduce?
- why is this important to the mechanic?
- There are two main steps in causal reasoning about general claims
- create a reproduction case
- find differences that make a difference to the reproduction case
- sometimes you can only do (2)
- controls in science
- all experiments are comparisons to “controls”
- example: genetic screen to determine function of SFN
- why controls/differences matter: correlation vs. causation
- buying diapers causes having a baby
- ice cream consumption causes shark attacks
- sleeping with light on causes short-sightedness
- Washington redskins home games cause presidential election results
- controls attempt to get around the correlation problem
- sufficient conditions are always sufficient
- this form of evidence is relatively strong