Before I start, let me say as clearly as possible that I agree with the scientific consensus on climate change. If science says something is true – according to most scientists, and consistent with the scientific method – I accept their verdict.
I realize that science can change its mind, of course. Saying something is “true” in a scientific sense always leaves open the option of later reassessing that view if new evidence comes to light. Something can be “true” according to science while simultaneously being completely wrong. Science allows that odd situation to exist, at least temporarily, while we crawl toward truth.
So when I say I agree with the scientific consensus on climate change, I’m endorsing the scientific consensus for the same reason I endorsed Hillary Clinton for the first part of the election – as a strategy to protect myself. I endorse the scientific consensus on climate change to protect my career and reputation. To do otherwise would be dumb, at least in my situation.
As regular readers of this blog already know, human brains did not evolve to understand reality in any deep way. If some of us survive and procreate, that’s good enough for evolution. It doesn’t matter that you live in a movie that says you will reincarnate after you die, while I live in a movie that says reality is a software simulation, and perhaps our mutual friend lives in a movie in which his prophet flew to heaven on a winged horse. Those are very different realities, but it doesn’t stop any of us from procreating. This lesson about the subjective nature of reality is one we learned from watching Trump’s march to the election. As the world looked on, everything they thought they understood about Trump’s chances dissolved in front of them. And yet the world still worked fine.
This perceptual change in humanity is happening as I predicted it would a year before Trump won. I told you he would change more than politics. I said he would open a crack in reality so you could view it through a new filter. That transformation is well underway. I’ll widen the crack a bit more today.
If you have been involved in any climate change debates online or in person, you know they always take the following trajectory: Climate science believers state that all the evidence, and 98% of scientists, are on the same side. Then skeptics provide links to credible-sounding articles that say the science is bunk, and why. How the heck can you – a non-expert – judge who is right?
You probably are not a scientist, and that means you can’t independently evaluate any of the climate science claims. You didn’t do the data collection or the experiments yourself. You could try to assess the credibility of the scientists using your common sense and experience, but let’s face it – you aren’t good at that. So what do you do?
You probably default to trusting whatever the majority of scientists tell you. And the majority says climate science is real and we need to do something about it. But how reliable are experts, even when they are mostly on the same side?
Ask the majority of polling experts who said Trump had only a 2% chance of becoming president. Ask the experts who said the government’s historical “food pyramid” was good science. Ask the experts who used to say marijuana was a gateway drug. Ask the experts who used to say sexual orientation is just a choice. Ask the experts who said alcoholism is a moral failure and not a matter of genetics.
There are plenty of examples where the majority of experts were wrong. What you really want to know is whether climate change looks more like the sort of thing that turns out to be right or the sort of thing that turns out to be wrong. Let’s dig into that question.
It seems to me that a majority of experts could be wrong whenever you have a pattern that looks like this:
1. A theory has been “adjusted” in the past to maintain the conclusion even though the data has changed. For example, “Global warming” evolved to “climate change” because the models didn’t show universal warming.
2. Prediction models are complicated. When things are complicated you have more room for error. Climate science models are complicated.
3. The models require human judgement to decide how variables should be treated. This allows humans to “tune” the output to a desired end. This is the case with climate science models.
4. There is a severe social or economic penalty for having the “wrong” opinion in the field. As I already said, I agree with the consensus of climate scientists because saying otherwise in public would be social and career suicide for me even as a cartoonist. Imagine how much worse the pressure would be if science was my career.
5. There are so many variables that can be measured – and so many that can be ignored – that you can produce any result you want by choosing what to measure and what to ignore. Our measurement sensors do not cover all locations on earth, from the upper atmosphere to the bottom of the ocean, so we have the option to use the measurements that fit our predictions while discounting the rest.
6. The argument from the other side looks disturbingly credible.
One of the things that always fascinated me about jury trials is that attorneys from both sides can sound so convincing even though the evidence points in only one direction. A defendant is either guilty or innocent, but good lawyers can make you see it either way. Climate science is similar. I’ve seen airtight arguments that say climate science is solid and true, and I’ve seen equally credible-looking arguments that say it is bunk. From my non-scientist perspective, I can’t tell the difference. Both sides look convincing to me.
As I have described in this blog before, I’m a trained hypnotist and I have studied the methods of persuasion for years. That gives me a bit of context that is different from the norm. In my experience, and based on my training, it is normal and routine for the “majority of experts” to be completely wrong about important stuff. But in the two-dimensional world where persuasion isn’t much of a thing, it probably looks to most of you that experts are usually right, especially when they are overwhelmingly on the same side and there is a mountain of confirming evidence.
We like to think we arrived at our decisions about climate science by using our common sense and good judgement to evaluate the credibility of experts. Some of you think you have superior sources of information as well. But both sides are wrong. No one is using reason, facts, or common sense to arrive at a decision about climate science. Here’s what you are using to arrive at your decision:
2. Unwarranted trust in experts
3. Pattern recognition
On the question of fear, if you believe that experts are good at predicting future doom, you are probably scared to death by climate change. But in my experience, any danger we humans see coming far in the future we always find a way to fix. We didn’t run out of food because of population growth. We didn’t run out of oil as predicted. We didn’t have a problem with the Year 2000 bug, and so on. I refer to this phenomenon as the Adams Law of Slow-Moving Disasters. When we see a disaster coming – as we do with climate science – we have an unbroken track record of avoiding doom. In the case of climate change danger, there are a number of technologies under development that can directly scrub the atmosphere if needed.
On the question of trusting experts, my frame of reference is the field of influence and persuasion. From my point of view – and given the examples of mass delusion that I have personally witnessed (including Trump’s election), I see experts as far less credible than most people assume.
And when it comes to pattern recognition, I see the climate science skeptics within the scientific community as being similar to Shy Trump Supporters. The fact that a majority of scientists agree with climate science either means the evidence is one-sided or the social/economic pressures are high. And as we can plainly see, the cost of disagreeing with climate science is unreasonably high if you are a scientist.
While it is true that a scientist can become famous and make a big difference by bucking conventional wisdom and proving a new theory, anything short of total certainty would make that a suicide mission. And climate science doesn’t provide the option of total certainty.
To put it another way, it would be easy for a physicist to buck the majority by showing that her math worked. Math is math. But if your science depends on human judgement to decide which measurements to include and which ones to “tune,” you don’t have that option. Being a rebel theoretical physicist is relatively easy if your numbers add up. But being a rebel climate scientist is just plain stupid. So don’t expect to see many of the latter. Scientists can often be wrong, but rarely are they stupid.
To strengthen my point today, and in celebration of my reopening of the blog commenting section, please provide your links to pro and con arguments about climate science. This might be the only place in the world you will see links to both sides. If you want to be amazed, see how persuasive BOTH sides of this debate are.
As I said above, I accept the consensus of climate science experts when they say that climate science is real and accurate. But I do that to protect my reputation and my income. I have no way to evaluate the work of scientists.
If you ask me how scared I am of climate changes ruining the planet, I have to say it is near the bottom of my worries. If science is right, and the danger is real, we’ll find ways to scrub the atmosphere as needed. We always find ways to avoid slow-moving dangers. And if the risk of climate change isn’t real, I will say I knew it all along because climate science matches all of the criteria for a mass hallucination by experts.
You might like reading my book because experts agree it is amazing.
— WhenHub App —
I’m getting great feedback on my startup’s new app for geostreaming your location to a friend as you approach your meeting spot? It’s like the Uber app without the Uber car. Here are links:
WhenHub app for Apple: http://apple.co/2eLL3Oh
WhenHub app for Android: http://bit.ly/2fIb6L7