Latest / Safe As Podcast / E18: When Emotion Leads Risk - risk as feelings and not just numbers
Transcript
- 0:07Have you ever made a decision where the numbers screened one
- 0:10thing, but you got told you something else entirely?
- 0:14Maybe you're more terrified of flying than driving, even though
- 0:18statistics consistently show driving is far riskier.
- 0:22Perhaps you felt an inexplicable dread about something like that.
- 0:25On paper, poses little threat. We're constantly bombarded with
- 0:29definitions of risk, probabilities, data, objective
- 0:33assessments. We're told to be rational, to
- 0:35trust the numbers, to leave emotion out of it when it comes
- 0:39to understanding danger, what of that uneasy feeling in the
- 0:42stomach, That sudden surge of fear isn't just a rational
- 0:46noise? What if it's a primal, lightning
- 0:49fast intelligence honed by a millennia of human survival,
- 0:52telling you something critical about the world around you Good
- 0:56day everyone. I'm Ben Hutchinson and this is
- 0:58safe as a podcast dedicated to the thrifty analysis of safety,
- 1:02risk and performance research visit safetyinsights.org for
- 1:06more research. This paper today, risk as
- 1:10analysis and risk as feelings, some thoughts about effect,
- 1:14reason, risk and rationality by Paul slavik and his colleagues
- 1:18explores how we actually understand and react to risk
- 1:22published 2004 and risk analysis.
- 1:25It argues that emotion or effect that's a double FECT, not a
- 1:29double FECT effect, plays a crucial role in our decisions.
- 1:34The paper challenges the traditional idea that emotions
- 1:37make us irrational, instead suggesting that truly smart
- 1:41decisions in both our logical and emotional thinking working
- 1:44together. And this paper covers a lot of
- 1:47ground. But fundamentally, we confront
- 1:49risk in three ways. Risk as feelings.
- 1:53These are our fast, instinctive, intuitive reactions to danger.
- 1:57Risk is analysis which brings logic, reason and scientific
- 2:00deliberation to bear on hazard management.
- 2:03And when these ancient instincts conflict with our modern
- 2:06structured analytical frames, we become painfully aware of 1/3
- 2:10reality. Paul Slavic argues in another
- 2:12paper. Risk is politics.
- 2:15So some of the key findings in this paper, really there's two
- 2:19simple ways we can think about how people actually think and
- 2:22process the world. We have an analytical type of
- 2:26processing. This uses logic, numbers, and
- 2:29formal rules. It's slow, it takes effort, and
- 2:33we're consciously aware of it. It's driven by reason and needs
- 2:36evidence to justify conclusions. We also have an experiential
- 2:40processing mode. It's intuitive, fast, and mostly
- 2:44automatic. It relies on images and
- 2:47associations directly linked to emotions and feelings.
- 2:51This processing type represents risk as a feeling that tells us
- 2:55whether it's safe to walk down this dark street or drink this
- 2:58strange smelling water. It's holistic, it's guided by
- 3:02gut feelings from past experiences and enables
- 3:05immediate action. This processing type is vital
- 3:08for human survival and remains our most natural way to respond
- 3:11to risk. So these processing types work
- 3:14side by side and depend on each other.
- 3:17Analytical reasoning isn't more effective unless it's guided by
- 3:20emotion. It's just to update around.
- 3:23You've probably heard about System 1 and System 2 thinking
- 3:26popularised by Kahneman and others.
- 3:28Actually, more recent thinking based on a larger body of
- 3:31evidence suggests there probably isn't really a System 1 and
- 3:34System 2. Rather, it's probably more
- 3:37accurate to call them types. They're not distinct systems,
- 3:40but they're types of operating in the brain.
- 3:42So I'm going to stick with types, Sorry.
- 3:45The role of effect and the effect heuristic.
- 3:47So effect is a faint whisper of emotion.
- 3:50It's an automatic feeling of goodness or vadnais about
- 3:52something, how we emotionally respond and feel about it.
- 3:56These are effective reactions happening quickly and
- 3:58automatically, helping us to navigate a complex world.
- 4:02So the effect heuristic describes how we rely on these
- 4:05feelings as a mental shortcut. Using an overall emotional
- 4:09impression is far easier than and faster than weighing pros
- 4:12and cons analytically, especially when decisions are
- 4:15complex or we're short on mental resources or time.
- 4:19How does it affect these feelings?
- 4:21Influence our judgments? Some things that really heavily
- 4:25influence our judgments include dread and outrage.
- 4:29People's feelings of dread or dread risk about certain risks,
- 4:32like nuclear power, heavily influence their perception and
- 4:36acceptance, often differing significantly from expert
- 4:40assessments. This is linked to factors like
- 4:42voluntariness or controllability.
- 4:45The less controlled people believe they have over something
- 4:48or been exposed to something, generally the poorer they feel
- 4:51about it. And while risk and benefit often
- 4:54go together, in reality people tend to judge them as inversely
- 4:58related. If we feel good about an
- 5:01activity, we judge's risk as low and its benefits as high.
- 5:04For instance, we typically feel good about the freedom that
- 5:08driving provides us, and we feel in control of those decisions to
- 5:11drive, so we rate the risk as a lower.
- 5:14If we feel bad about something, we judge high risk and low
- 5:17benefit. This happens even faster under
- 5:20time pressure. For instance, people judge sort
- 5:22of good stocks as high return, low risk, and bad stocks as low
- 5:26return high risk simply based on their overall feeling.
- 5:31And the feelings towards risk can be disconnected from the
- 5:34statistical risk. For example, we fear shark
- 5:38attacks but not the drive to the beach.
- 5:41And importantly, emotion precedes analytical judgements.
- 5:46How we feel about something shapes what we think about
- 5:49something. Looking at probability and
- 5:52frequencies, there's this idea of called imagining the
- 5:55numerator. When given a choice, people
- 5:59sometimes choose a bowl with a high number of winning items.
- 6:02For instance, like 7 in 100 over one with better odds, one in 10
- 6:07because seeing more winning items felt like a better choice.
- 6:12And also how we frame the risk matters.
- 6:14So if we frame it as 10 out of every hundred patients can make
- 6:18it sound more dangerous than a 10% chance because the frequency
- 6:22creates more vivid, frightening images.
- 6:25So importantly, vivid, emotionally charged warnings are
- 6:29more effective than just statistics.
- 6:31Another example is, let's say, a doctor framing the risk of
- 6:34surgery. One death in 100 surgery sounds
- 6:38a bit scarier than 99 out of 100 successful surgeries.
- 6:42Also, when we're evaluating interventions like in healthcare
- 6:45and medicine, people respond often times more strongly to the
- 6:49proportion of lives saved. For instance, this intervention
- 6:53will save 98% of the participants than the actual
- 6:57#150 lives were saved. Because proportions carry
- 7:01clearer emotional meaning, people can also be really
- 7:04insensitive to probabilities. So for outcomes with strong
- 7:08emotional meaning, like a lottery jackpot or cancer,
- 7:11changes in probability often have little impact on our
- 7:14feelings. So the way that we feel about
- 7:17lottery for instance. So whether the chance is 1 in 10
- 7:20million or one in 10,000, we often feel the same way about
- 7:24it. This helps explain why people
- 7:26gamble and buy insurance simultaneously, why fears about
- 7:29hazards like nuclear power persist despite extremely low
- 7:33probabilities of major failures. But it still has happened, of
- 7:37course. How can these feelings go wrong?
- 7:39So failures of the experiential system, well, usually helpful.
- 7:43Sometimes they can lead us a little bit astray.
- 7:46So, for instance, manipulation our emotional reaction can be
- 7:49exploited by advertising or propaganda.
- 7:52Cults, for instance, play on this very well.
- 7:54There's also inherent biases and noise.
- 7:57So like something called psychophysical numbing, we're
- 8:00insensitive to small changes near 0, so for instance 0 to 1
- 8:04deaths, but struggle to emotionally grasp larger changes
- 8:07further, from zero 500 to 600 deaths.
- 8:11As a 1947 Washington Post article about Stalin
- 8:15depressingly quipped, if only one man dies of hunger, that is
- 8:19a tragedy. If millions die, that's only
- 8:22statistics. Our risk judgments are also
- 8:25sensitive to visceral reactions. Strong feelings in the present,
- 8:30like hunger or cravings, are hard to accurately call or
- 8:33anticipate in the future. So as I said, I've covered a lot
- 8:36of ground there. So what can we make of these
- 8:38findings? And being very simplistic about
- 8:40a very large, broad body of research.
- 8:44So it's a bit more difficult to come up with some practical
- 8:46implications. But how about some of these?
- 8:48And some of these came from the paper.
- 8:50One suggestion is using reason to calm strong emotions.
- 8:54So when our risk is failing, processing types overweighs the
- 8:58frightening but remote consequences like terrorism.
- 9:01Our analytical mind can sometimes be really effective to
- 9:04help provide perspective on the actual likelihoods.
- 9:07Not always. Sometimes you need to fight
- 9:09emotion with emotion. They give an example in the
- 9:11paper. So fear might lead someone to
- 9:13buy a handgun, but analysis shows it's far more lucky to
- 9:16harm their own family than an intruder.
- 9:19Another suggestion is adding doses of feeling to logic.
- 9:22Even highly analytical tasks like proving a theorem or
- 9:26playing chess benefit from intuition, like a mathematician
- 9:30sensing if a proof sort of looks good, or a chess master feeling
- 9:34and move feels right. So risk analysis also needs to
- 9:37consider softer values like dread or fairness that drive
- 9:41public concerns and sort of counteract this psychophysical
- 9:45numbing and make statistics feel real.
- 9:48Effective communication can use vivid personal stories or
- 9:51physical representations. Another example from the paper
- 9:54was piling 38,000 pairs of shoes to represent handgun deaths.
- 9:59So in conclusion, meaning is deeply tied to our emotions,
- 10:03numbers and statistics about risk.
- 10:05Unless they're infused with affect, feelings may not be
- 10:08truly representative of risk. How we perceive risk or acted
- 10:12upon according to paper rationality is not only a
- 10:15product of the analytical minds, but of the experiential mind as
- 10:19well. That's it on Safe as I'm Ben
- 10:22Hutchinson, please help share, rate and review and
- 10:26checkoutsafetyinsights.org for more research.
- 10:29Finally, feel free to support Safe As by shouting a coffee
- 10:33link in the show notes.