Category: Gerd Gigerenzer – Risk Savvy

A mixture of Risks

A Mixture of Risks

Posted on by jabittan
In the book Risk Savvy, Gerd Gigerenzer explains the challenges we have with thinking statistically and how these difficulties can lead to poor decision-making. Humans have trouble holding lots of complex and conflicting information. We don’t do well with decisions involving risk and decisions where we cannot possibly know all the relevant information necessary for the best decision. We prefer to make decisions involving fewer variables, where we can have more certainty about our risks and about the potential outcomes. This leads to the substitution effect that Daniel Kahneman describes in his book Thinking Fast and Slow, where our minds substitute an easier question for the difficult question without us noticing.

 

Unfortunately, this can have bad outcomes for our decision-making. Gigerenzer writes, “few situations in life allow us to calculate risk precisely. In most cases, the risks involved are a mixture of more or less well known ones.” Most of our decisions that involve risk have a mixture of different risks. They are complex decisions with tiers and potential cascades of risk based on the decisions we make along the way. Few of our decisions involve just one risk independent of others that we can know with certainty.

 

If we consider investing for retirement we can see how complex decisions involving risk can be and how a mixture of risks is present across all the decisions we have to make. We can hoard money in a safe in our house where we reduce the risk of losing any of our money, but we risk being unable to have enough saved by the time we are ready to retire. We can invest our money, but have to make decisions regarding whether we will keep it in a bank account, invest it in the stock market, or look to other investment vehicles. Our bank is unlikely to lose much money, and is low risk, but is also unlikely to help us increase the value of our savings to have enough for retirement. Investing with a financial advisor takes on more risk, such as the risk that we are being scammed, the risk that the market tanks and our advisor made bad investments on our behalf, and the risk that we won’t have access to our money if we were to need it quickly in case of an emergency. What this shows is that even the most certain option for our money, protecting it in a secret safe at home, still contains additional risks for the future. The options that are likely to provide us with the greatest return on our savings, investing in the stock market, has a mixture of risks associated with each investment decision we make after the initial decision to invest. There is no way we can calculate and fully comprehend ever risk involved with such an investment decision.

 

Risk is complex, and we rarely deal with a single decision involving a single calculable risk at one time. Our brains are likely to flatten the decision by substituting more simple decisions, eliminating some of the risks from consideration and helping our mind focus on fewer variables at a time. Nevertheless, the complex mixture of risks doesn’t go away just because  our brains pretend it isn’t there.
intelligence - Joe Abittan

Intelligence

Posted on by jabittan
“Intelligence is not an abstract number such as an IQ, but similar to a carpenter’s tacit knowledge about using appropriate tools,” writes Gerd Gigerenzer in his book Risk Savvy. “This is why the modern science of intelligence studies the adaptive toolbox that individuals, organizations, and cultures have at their disposal; that is, the evolved and learned rules that guide our deliberate and intuitive decisions.”

 

I like Gigerenzer’s way of explaining intelligence. It is not simply a number or a ratio, but it is our knowledge and ability to understand our world. There are complex relationships between living creatures, physical matter, and information. Intelligence is an understanding of those relationships and an ability to navigate the complexity, uncertainty, and connections between everything in the world. Explicit rules, like mathematical formulas, help us understand some relationships while statistical percentages help us understand others. Recognizing and being aware of commonalities between different categories of things and items and identifying patterns help us understand these relationships and serves as the basis for our intelligence.

 

What is important to note, is that our intelligence is built with concrete tools for some situations, like 2+2=4, and less concrete rules of thumb for other situations, like the golden rule – do to others what you would like others to do to you. Gigerenzer shows that our intelligence requires that we know more than one mathematical formula, and that we have more than one rule of thumb to help us approach and address complex relationships in the world. “Granted, one rule of thumb cannot possibly solve all problems; for that reason, our minds have learned a toolbox of rules. … these rules of thumb need to be used in an adaptive way.”

 

Whether it is interpreting statistical chance, judging the emotions of others, of making plans now that delay gratification until a later time, our rules of thumb don’t have to be precise, but they do need to be flexible and adaptive given our current circumstances. 2+2 will always equal 4, but a smile from a family member might be a display of happiness or a nervous impulse and a silent plead for help in an awkward situation. It is our adaptive toolbox and our intelligence that allows us to figure out what a smile means. Similarly, adaptive rules of thumb and intelligence help us reduce complex interactions and questions to more manageable choices, reducing uncertainty about how much we need to save for retirement to a rule of thumb that tells us to save a small but significant amount of each pay check. Intelligence is not just about facts and complex math. It is about adaptable rules of thumb that help us make sense of complexity and uncertainty, and the more adaptive these rules of thumb are, the more our intelligence an help us in the complex world of today and into the uncertain future.
Unconscious Rules of Thumb

Unconscious Rules of Thumb

Posted on by jabittan
Some of the decisions that I make are based on thorough calculations, analysis, evaluation of available options, and deliberate considerations of costs and benefits. When I am planning my workout routine, I think hard about how my legs have been feeling and what distance, elevation, and pace is reasonable for my upcoming workouts. I think about how early I need to be out the door for a certain distance, and whether I can run someplace new to mix things up. I’ll map out routes, look at my training log for the last few weeks, and try putting together a plan that maximizes my enjoyment, physical health, and fitness given time constraints.

 

However, outside of running, most of my decisions are generally based on rules of thumb and don’t receive the same level of attention as my running plans. I budget every two weeks around payday, but even when budgeting, I mostly rely on rules of thumb. There is a certain amount I like to keep in my checking account just in case I forgot a bill or have something pop-up last minute. Its not a deliberate calculation, it is more of a gut feeling. The same goes for how much money I set aside for free spending or if I feel that it is finally time to get that thing I have had my eye on for a while. My budget is probably more important than my running routine, but I actually spend more time rationally developing a running plan than I spend budgeting. The same goes for house and vehicle maintenance, spending time with friends and family, and choosing what to eat on the days we plan to do take-out.

 

The budget example is interesting because I am consciously and deliberately using rules of thumb to determine how my wife and I will use our money. I set aside a certain amount for gas without going to each vehicle and checking whether we are going to need to fill up soon. I am aware of the rules of thumb, and they are literally built into my spreadsheet where I sometimes ask if I should deviate, but usually decide to stick to them.

 

I also recognize that I have many unconscious rules of thumb. In his book Risky Savvy, Gerd Gigerenzer writes the following about unconscious rules of thumb:

 

“Every rule of thumb I am aware of can be used consciously and unconsciously. If it is used unconsciously, the resulting judgment is called intuitive. An intuition, or gut feeling, is a judgment:
  1. that appears quickly in consciousness,
  2. whose underlying reasons we are not fully aware of, yet
  3. is strong enough to act upon.”
I have lots of intuitive judgements that I often don’t think about in the moment, but only realize when I reflect back on how I do something. When I am driving down the freeway, cooking, or writing a blog post, many of my decisions flow naturally and quickly. In the moment the decisions seem obvious, and I don’t have to think too deliberately about my action and why I am making a specific decision. But if I were asked to explain why I made a decision, I would have a hard time finding exact reasons for my choices. I don’t know exactly how I know to change lanes at a certain point on the freeway, but I know I can often anticipate points where traffic will slow down, and where I might be better off in another lane. I can’t tell you why I chose to add the marsala wine to the mushrooms at the precise moment that I did. I also couldn’t explain why I chose to present a certain quote right at the beginning of a post rather than in the middle. My answer for all of these situations would simply be that it felt right.

 

We use unconscious rules of thumb like these all the time, but we don’t often notice when we do. When we are budgeting we might recognize our rules of thumb and be able to explain them, but our unconscious rules of thumb are harder to identify and explain. Nevertheless, they still have major impacts in our lives. Simply because we don’t notice them and can’t explain them doesn’t mean they don’t shape a lot of our decisions and don’t matter. The intuitions we have can be powerful and helpful, but they could also be wrong (maybe all this time I’ve been overcooking the mushrooms and should add the wine sooner!). Because these intuitions are unconscious, we don’t deliberately question them, unless something calls them up to the conscious level. The feedback we get is probably indirect, meaning that we won’t consciously tie our outcomes the to the unconscious rules of thumb that got us to them.

 

I am fascinated by things like unconscious rules of thumb because they reveal how little we actually control in our lives. We are the ones who act on these unconscious rules of thumb, but in a sense, we are not really doing anything at all. We are making decisions based on factors we don’t understand and might not be aware of. We have agency by being the one with the intuition, but we also lack agency by not being fully conscious of the how and why behind our own decisions. This should make us question ourselves and choices more than we typically do.
Probability is Multifaceted

Probability is Multifaceted

Posted on by jabittan
For five years my wife and I lived in a house that was at the base of the lee side of a small mountain range in Northern Nevada. When a storm would come through the area it would have to make it over a couple of small mountain ranges and valleys before getting to our house, and as a result we experienced less precipitation at our house than most people in the Reno/Sparks area. Now my wife and I live in a house higher up on a different mountain that is more in the direct path of storms coming from the west. We receive snow at our house while my parents and family lower in the valley barely get any wind. At both houses we have learned to adjust our expectations for precipitation relative to the probabilities reported by weather stations which reference the airport at the valley floor. Our experiences with rain and snow at our two places is a useful demonstration that probability (in this case the probability of precipitation) is multifaceted – that multiple factors  play a role in the probability of a given event at a given place and time.

 

In his book Risk Savvy, Gerd Gigerenzer writes, “Probability is not one of a kind; it was born with three faces: frequency, physical design, and degrees of belief.” Gigerenzer explains that frequency is about counting. To me, this is the most clearly understandable aspect of probability, and what we usually refer to when we discuss probability. On how many days does it usually rain in Reno each year? How frequently does a high school team from Northern Nevada win a state championship and how frequently does a team from Southern Nevada win a state championship? These types of questions simply require counting to give us a general probability of an event happening.

 

But probability is not just about counting and tallying events. Physical design plays a role as well. Our house on the lee side of a small mountain range was shielded from precipitation, so while it may have rained in the valley half a mile away, we didn’t get any precipitation. Conversely, our current home is in a position to get more precipitation than the rest of the region. In high school sports, fewer kids live in Reno/Sparks compared to the Las Vegas region, so in terms of physical design, state championships are likely to be more common for high schools in Southern Nevada. Additionally, there may be differences in the density of students at each school, meaning the North could have more schools per students than the south, also influencing the probability of a north or south school winning. Probability, Gigerenzer explains, can be impacted by the physical design of systems, potentially making the statistics and chance more complicated to understand.

 

Finally, degrees of belief play a role in how we comprehend probability. Gigerenzer states that degrees of belief include experience and personal impression which are very subjective. Trusting two eye witnesses, Gigerenzer explains, rather than two people who heard about an event from someone else can increase our perception that the probability of an unlikely story is accurate. Degrees of belief can also be seen in my experiences with rain and our two houses. I learned to discount the probability of rain at our first house and to increase my expectation of rain at our new house. If the meteorologist said there was a low chance of rain when we lived on the sheltered side of a hill, then I didn’t worry much about storm forecasts. At our new house, however, if there is a chance of precipitation and storm coming from the west, I will certainly go remove anything from the yard that I don’t want to get wet, because I believe the chance that our specific neighborhood will see rain is higher than what the meteorologist predicted.

 

Probability and how we understand it and consequentially make decisions  is complex, and Gigerenzer’s explanation of the multiple facets of probability helps us better understand the complexity. Simply tallying outcomes and predicting into the future often isn’t enough for us to truly have a good sense of the probability of a given outcome. We have to think about physical design, and we have to think about the personal experiences and subjective opinions that form the probabilities that people develop and express. Understanding probability requires that we hold a lot of information in our head at one time, something humans are not great at doing, but that we can do better when we have better strategies for understanding complexity.
Navigating Uncertainty with Nudges

Navigating Uncertainty with Nudges

Posted on by jabittan
In Risk Savvy Gerd Gigerenzer makes a distinction between known risks and uncertainty. In a foot note for a figure, he writes, “In everyday language, we make a distinction between certainty and risk, but the terms risk and uncertainty are used mostly as synonyms. They aren’t. In a world of known risks, everything, including the probabilities, is known for certain. Here statistical thinking and logic are sufficient to make good decisions. In an uncertain world, not everything is known, and one cannot calculate the best option. Here, good rules of thumb and intuition are also required.” Gigerenzer’s distinction between risk and uncertainty is important. He demonstrates that people can manage decision-making when making risk based decisions, but that people need to rely on intuition and good judgement when dealing with uncertainty. One solution to improved judgement and intuition is to use nudges.

 

In the book Nudge, Cass Sunstein and Richard Thaler encourage choice architects to design systems and structures that will help individuals make the best decision in a given situation as defined by the chooser. Much of their argument is supported by research presented by Daniel Kahneman in Thinking Fast and Slow, where Kahneman demonstrates how predictable biases and cognitive errors can lead people to making decisions that they likely wouldn’t make if they had more clear information, had the ability to free themselves from irrelevant biases, and could improve their statistical thinking. Gigerenzer’s quote supports Sunstein and Thaler’s nudges by building on the research from Kahneman. Distinguishing between risk and uncertainty helps us understand when to use nudges, and how aggressive our nudges may need to be.

 

Gigerenzer uses casino slot machines as an example of risk and for examples of uncertainty uses stocks, romance, earthquakes, business, and health. When we are gambling, we can know the statistical chances that our bets will pay off and calculate optimal strategies (there is a reason the casino dealer stays on 17). We won’t know what the outcome will be ahead of time, but we can precisely define the risk. The same cannot be said for picking the right stocks, the right romantic partner, or when creating business, earthquake preparedness, or health plans. We may know the five year rate of return for a company’s stocks, the divorce rate in our state, the average frequency and strength of earthquakes in our region, and how old our grandfather lived to be, but we cannot use this information alone to calculate risk. We don’t know exactly what business trends will arise in the future, we don’t know for sure whether we have a genetic disease that will strike us (or our romantic partner) down sooner than expected, and we can’t say for sure that a 7.0 earthquake is or is not possible next month.

 

But nudges can help us in these decisions. We can use statistical information for business development and international stock returns to identify general rules of thumb when investing. We can listen to parents and elders and learn from their advice and mistakes when selecting a romantic partner, intuiting the traits that make a good (or bad) spouse. We can overengineer our bridges and skyscrapers by 10% to give us a little more assurance that they can survive a major and unexpected earthquake. Nudges are helpful because they can augment our gut instincts and help bring visualizations to the rules of thumb that we might utilize.

 

Expecting everyone’s individual intuition and heuristics to be up to the task of navigating uncertainty is likely to lead to many poor choices. But, if we help pool the statistical information available, provide guides, communicate rules of thumb that have panned out for many people, and structure choices in ways that help present this information, then people can likely make marginally better decisions. My suggestion in this post, is a nudge to use more nudges in moments of uncertainty. When certainty exists, or even when calculable risks exist, nudges may not be needed. However, once we get beyond calculable risk, where we must rely on judgement and intuition, nudges are important tools to help people navigate uncertainty and improve their decision making.
Inventing Excuses - Joe Abittan

Inventing Excuses

Posted on by jabittan
With the start of the new year and the inauguration of a new president of the United States, many individuals and organizations are turning their eyes toward the future. Individuals are working on resolutions to make positive changes in their lives. Companies are making plans and strategy adjustments to fit with economic and regulatory predictions. Political entities are adjusting a new course in anticipation of political goals, agendas, and actions of the new administration and the new distribution of political power in the country. However, almost all of the predictions and forecasts of individuals, companies, and political parties will end up being wrong, or at least not completely correct.

 

Humans are not great forecasters. We rarely do better than just assuming that what happened today will continue to happen tomorrow. We might be able to predict a regression to the mean, but usually we are not great at predicting when a new trend will come along, when a current trend will end, or when some new event will shake everything up. But this doesn’t mean that we don’t try, and it doesn’t mean that we throw in the towel or shrug our shoulders when we get things wrong.

 

In Risk Savvy Gerd Gigerenzer writes, “an analysis of thousands of forecasts by political and economic experts revealed that they rarely did better than dilettantes or dart-throwing chimps. But what the experts were extremely talented at was inventing excuses for their errors.” It is remarkable how poor our forecasting can be, and even more remarkable how much attention we still pay to forecasts. At the start of the year we all want to know whether the economy will improve, what a political organization is going to focus on, and whether a company will finally produce a great new product. We tune in as experts give us their predictions, running through all the forces and pressures that will shape the economy, political future, and performance of companies. And even when the experts are wrong, we listen to them as they explain why their initial forecast made sense, and why they should still be listened to in the future.

 

A human who threw darts, flipped a coin, or picked options out of a hat before making a big decision is likely to be just as wright or just as wrong as the experts who suggest a certain decision over another. However, the coin flipper will have no excuse when they make a poor decision. The expert on the other hand, will have no problem inventing excuses to explain away their culpability in poor decision-making. The smarter we are the better we are at rationalizing our choices and inventing excuses, even those that don’t go over so well.
The Human Need for Certainty - Joe Abittan

The Human Need for Certainty

Posted on by jabittan
Throughout the book Risk Savvy, Gerd Gigerenzer discusses the challenges that people face with thinking statistically, assessing different probable outcomes, and understanding risk. Gigerenzer also discusses how important it is that people become risk literate, and how the future of humanity will require that people better understand risk and uncertainty. What this future requires, he explains, is fighting against aspects of human psychology that are common to all of us and form part of our core nature. One aspect in particular that Gigerenzer highlights as a problem for humans moving forward, is our need for certainty.

 

“Humans appear to have a need for certainty, a motivation to hold onto something rather than to question it,” he writes. Whether it is our religion, our plans for retirement, or the brand of shoes we prefer, we have a need for certainty. We don’t want to question whether our religious, political, or social beliefs are correct. It is more comforting for us to adopt beliefs and be certain that we are correct. We don’t want to continuously re-evaluate our savings plans and open ourselves to the possibility that we are not doing enough to save for retirement. And we like to believe that we purchased the best running shoes, that we bough the most sustainable shoes for the planet, and that our shoe choices are the most popular. In all of these areas, ambiguity makes our decisions harder whereas a feeling of certainty gives us confidence and allows us to move through the world. In many ways, our need for certainty is simply a practicality. There are unlimited possibilities and decisions for us to make every day. Adopting certainty eliminates many possibilities and choices, simplifying our life and allowing us to move through the world without having to question every action of every second of every day.

 

But in the modern world, humans have to be more comfortable living with ambiguity and have to be able to give up certainty in some areas. “For the mature adult,” Gigerenzer writes, “a high need for certainty can be a dangerous thing.”  We live with risk and need to be able to adjust as we face new risks and uncertainties in our lives. We like to hold onto our beliefs and we are not comfortable questioning our decisions, but it can be necessary for us to do so in order to move forward and live in harmony in a changing world with new technologies, different demographics, and new uncertainties. A need for certainty can lead people to become dogmatic, to embrace apologetics when discounting science that demonstrates errors in thinking, and to ignore the realities of a changing world. One way or another, we have to find ways to be flexible and adjust our choices and plans according to risk, otherwise we are likely to make poor choices and be crushed when the world does not align itself with our beliefs and wishes.
Dread Risks - Joe Abittan

Dread Risks

Posted on by jabittan
Over the course of 2020 we watched COVID-19 shift from a dread risk to a less alarming risk. To some extent, COVID-19 became a mundane risk that we adjusted to and learned to live with. Our initial reactions to COVID-19, and our later discontent but general acceptance reveal interesting ways in which the mind works. Sudden and unexplained deaths and risks are terrifying, while continual risk is to some extent ignored, even if we face greater risk from dangers we ignore.

 

In Risk Savvy Gerd Gigerenzer describes dread risks and our psychological reactions by writing, “low-probability events in which many people are suddenly killed trigger an unconscious psychological principle: If many people die at one point in time, react with fear and avoid that situation.” Dread risks are instances like terrorist attacks, sudden bridge collapses, and commercial food contamination events. A risk that we did not consider is thrust into our minds, and we react strongly by avoiding something we previously thought to be safe.

 

An unfortunate reality of dread risks is that they distract us and pull our energy and attention away from ongoing and more mundane risks. This has been a challenge as we try to keep people focused on limiting COVID-19 and not simply accepting deaths from the disease the way we accept deaths from car crashes, gun violence, and second hand smoke exposure. Gigerenzer continues, “But when as many or more die distributed over time, such as in car and motorbike accidents, we are less likely to be afraid.” Dread risks trigger fears and responses that distributed risks don’t.

 

This psychological bias drove the United States into wars in Iraq and Afghanistan in the early 2000s and we are still paying the prices for those wars. The shift of COVID-19 in our collective consciousnesses from a dread risk to a distributed risk lead to mass political rallies, unwise indoor gatherings, and other social and economic events where people contracted the disease and died even though they should have known to be more cautious. Reacting appropriately to a dread risk is difficult, and giving distributed risks the attention and resources they deserve is also difficult. The end result is poor public policy, poor individual decision-making, and potentially the loss of life as we fail to use resources in a way that saves the most lives.
Stats and Messaging

Stats and Messaging

Posted on by jabittan
In the past, I have encouraged attaching probabilities and statistical chances to the things we believe or to events we think may (or may not) occur. For example, say Steph Curry’s three point shooting percentage is about 43%, and I am two Steph Currys confident that my running regiment will help me qualify for the Boston Marathon. One might also be two Steph Currys confident that leaving now will guarantee they are at the theater in time for the movie, or that most COVID-19 restrictions will be rescinded by August 2021 allowing people to go to movies again. However, the specific percentages that I am attaching in these examples may be meaningless, and may not really convey an important message for most people (Myself included!). It turns out, that modern day statistics and the messaging attached to it is not well understood.

 

In his book Risk Savvy, Gerd Gigerenzer discusses the disconnect between stats and messaging, and the mistake most people make. The main problem with using statistics is that people don’t really know what the statistics mean in terms of actual outcomes. This was seen in the 2016 US presidential election when sources like FiveThirtyEight gave trump a 28.6% chance of winning and again in 2020 when the election was closer than many predicted, but was still well within the forecasted range.  In both instances, a Trump win was considered such a low probability event that people dismissed it as a real possibility, only to be shocked when Trump did win in 2016 and performed better than many expected in 2020. People failed to fully appreciate that FiveThirtyEight’s prediction meant that in 28.6% of election simulations, Trump was predicted to win in 2016, and in 2020 many of their models predicted races both closer than and wider than the result we actually observed.

 

Regarding weather forecasting and statistical confusion, Gigerenzer writes, “New forecasting technology has enabled meteorologists to replace mere verbal statements of certainty (it will rain tomorrow) or chance (it is likely) with numerical precision. But greater precision has not led to greater understanding of what the message really is.” Gigerenzer explains that in the context of weather forecasts, people often misunderstand that a 30% chance of rain means that on 30% of days when when the observed weather factors (temperature, humidity, wind speeds, etc…) match the predicted weather for that day, rain occurs. Or that models taking weather factors into account simulated 100 days of weather with those conditions and included rain for 30 of those days.  What is missing, Gigerenzer explains, is the reference class. Telling people there is a 30% chance of rain could lead them to think that it will rain for 30% of the day, that 30% of the city they live in will be rained on, or perhaps they will misunderstand the forecast in a completely unpredictable way.

 

Probabilities are hard for people to understand, especially when they are busy, have other things on their mind, and don’t know the reference class. Providing probabilities that don’t actually connect to a real reference class can be misleading and unhelpful. This is why my suggestion of tying beliefs and possible outcomes to a statistic might not actually be meaningful. If we don’t have a reasonable reference class and a way to understand it, then it doesn’t matter how many Steph Currys likely I think something is. I think we should take statistics into consideration with important decision-making, and I think Gigerenzer would agree, but if we are going to communicate our decisions in terms of statistics, we need to ensure we do so while clearly stating and explaining the reference classes and with the appropriate tools to help people understand the stats and messaging.
Risk Literacy - Joe Abittan

Risk Literacy

Posted on by jabittan
In February of 2020 I finished a book called Risk Savvy by Gerd Gigerenzer. At the time I read the book, I could not predict that thinking about risk would come to dominate the remainder of the year. Throughout 2020 and into the start of 2021, humanity across the globe has demonstrated how poorly we think about and handle risk. The United States has clearly been worse than most countries, as we have failed to understand the risk of COVID-19, failed to grapple with the risk of crowds and appropriate uses of force, and failed to adequately assess the risk of a President living in a state of denial and delusion.  As Gigerenzer writes on page 6 of his book, “Risk Literacy is the basic knowledge required to deal with a modern technological society,” and in many ways, the United States and the rest of humanity have shown that risk literacy is deeply lacking.

 

Gigerenzer believes that we are smart, that we are resourceful, and that with proper aids and education, we can become risk literate. Whether we recognize it or not, we already calculate risk and make decisions based on risk. Understanding risk can lead to us packing an umbrella and wearing a waterproof windbreaker when the weather station forecasts rain. We can make sound investments without understanding every aspect of an investment thanks to savings vehicles that help us better understand and calibrate risk. And we can decide to go to a movie or skip it based on aggregated reviews and ratings scores on Rotten Tomatoes.

 

At the same time, we have had trouble understanding our individual risks related to COVID-19, we have had trouble understanding the risks and benefits of wearing masks, and we have dismissed what seem like impossible possibilities until they happen to us personally, or happen in a dramatic way on tv. We are capable of making good decisions based on perceptions and understandings of risk, but at the same time, we have still shown ourselves to be risk-illiterate.

 

It is clear that moving forward societies will have to do better to become risk literate. We will have to improve our ability to communicate risk, estimate risk, and take appropriate precautions or actions. We cannot live in a world free from risk, and new technologies, ecological pressures, and sociopolitical realities will change the risk calculations that everyone will have to make. Improving our risk literacy might mean that we don’t have over 400,000 people die during future respiratory pandemics. It might mean we have robust economic systems that don’t damage the planet. And it might mean we are able to live together peacefully with global superpowers competing economically. Failure to address risk and failure to improve risk literacy could lead to disaster in any one of those areas.