12 Ways to Get Smarter in One Infographic - Universal Mental Models
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12 Ways to Get Smarter in One Infographic

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Cognitive Bias Infographic

12 Ways to Get Smarter in One Infographic

View the high resolution version of today’s graphic by clicking here.

The level of a person’s raw intelligence, as measured by aptitude tests such as IQ scores, is generally stable for most people during the course of their adulthood.

While it’s true that there are things you can do to fine tune your natural capabilities, such as doing brain exercises, solving puzzles, and getting optimal sleep—the amount of raw brainpower you have is difficult to increase in any meaningful or permanent way.

For those of us who constantly strive to be high-performers in our fields, this seems like bad news. If we can’t increase our processing power, then how can we solve life’s bigger problems as we move up the ladder?

The Key: Mental Models

The good news is that while raw cognitive abilities matter, it’s how you use and harness those abilities that really makes the difference.

The world’s most successful people, from Ray Dalio to Warren Buffett, are not necessarily leagues above the rest of us in raw intelligence—instead, they simply develop and learn to apply better mental models of how the world works, and they use these principles to filter their thoughts, decisions, strategies, and execution.

This infographic comes from best-selling author and entrepreneur Michael Simmons, who has collected over 650 mental models through his work. The infographic, in a similar style to one we previously published on cognitive biases, synthesizes these models down to the most useful and universal mental models that people should learn to master first.

Concepts such as the 80/20 rule (Pareto’s principle), compound interest, and network building are summarized in the visualization, and their major components are broken down further within the circle.

Mental Model Examples

Example #1: Pareto’s Principle (80/20 Rule for Prioritization)

In a recent Medium post by Simmons, he highlights a well-known mental model that is the perfect bread crumb to start with.

The 80/20 rule (Pareto’s principle) is named after Italian economist Vilfredo Pareto, who was likely the first person to note the 80/20 connection in an 1896 paper.

In short, it shows that 20% of inputs (work, time, effort) often leads to 80% of outputs (performance, sales, revenue, etc.), creating an extremely vivid mental framework for making prioritization decisions.

80-20 law Pareto's principle

The 80/20 rule represents a power law distribution that has been empirically shown to exist throughout nature, and it also has huge implications on business.

If you focus your effort on these 20% of tasks first, and get the most out of them, you will be able to drive results much more efficiently than wasting time on the 80% “long-tail” shown below.

Power law distribution

Example #2: Metcalfe’s Law (Network Building)

Metcalfe’s Law is one of network effects, stating that a network’s value is proportional to the square of the number of nodes in the network.

From a mental model perspective, this is a useful way to understand how certain types of technology-driven businesses derive value.

If you have a smart grid that is only connected to one power source, that’s alright—but one connected to many different energy sources and potential consumers is much more useful for everyone on the grid. Each additional node provides value for the rest of the connections.

Metcalfe's Law illustrated

This mental model can be applied outside of strict technology or business terms as well.

For example, if you build a personal network of connections, each additional relationship can provide more value to the other people in your network. It’s the same principle that Harvard or other prestigious universities operate on: the more value a student can get from the alumni network, the higher price they can charge for tuition.

It’s hard to compete with a fully formed network at scale, as they create massive economic moats for the owner. Modern social networks and messaging apps like Facebook, Instagram, LinkedIn, TikTok, WhatsApp, and Snapchat all operate with this in mind.

The Power of Mental Models

These are just two examples of how powerful mental models can be effective in making you think clearer and work smarter.

If you want to be a top performer, it’s worth looking into other mental models out there as well. They can help you better frame reality, so that you can harness your intelligence and effort in the most effective way possible—and it’ll allow you to deliver results along the way.

This post was first published in 2018. We have since updated it, adding in new content for 2021.

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Misc

Visualizing Two Decades of Reported Hate Crimes in the U.S.

Hate crimes across the U.S. have been on the rise since 2014. Here’s a look at the most common types of offenses over the years.

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Two Decades of Hate Crimes in the U.S.

Visualizing Two Decades of Reported Hate Crimes in the U.S.

Across the U.S., thousands of hate crimes are committed each year, with many different motivating biases.

In 2020 alone, more than 10,000 unique hate crime incidents were reported to the Federal Bureau of Investigation (FBI)—and it’s likely that thousands more were committed that didn’t get reported to law enforcement.

What are the most commonly reported motivating biases, and how have hate crime rates evolved over the years? This graphic uses data from the FBI to visualize two decades of reported hate crime incidents across America.

What is Considered a Hate Crime?

Before diving in, it’s important to determine what constitutes a hate crime.

According to the U.S. Department of Justice, a hate crime is a crime that’s “committed on the basis of the victim’s perceived or actual race, color, religion, national origin, sexual orientation, gender, gender identity, or disability.”

These types of crimes are a threat to society, as they have a broader impact on communities than other types of crimes do. This is because hate crimes can foster fear and intimidate large groups of people or marginalized communities, making them feel unwelcome, unsafe, or othered.

Hate Crimes on the Rise

Hate crimes have been rising across the U.S. in nearly every year since 2014. By 2020, reported crimes across America reached record-level highs not seen in over two decades.

YearNumber of Reported Incidents% Change (y-o-y)
2001973018.4%
20027485-23.1%
200375450.8%
200476851.9%
20057411-3.6%
200677154.1%
20077625-1.2%
200880395.4%
20096613-17.7%
201066330.3%
20116299-5.0%
201265944.7%
20136044-8.3%
20145599-7.4%
201558714.9%
201662766.9%
2017732116.7%
20187170-2.1%
2019789210.1%
20201029930.5%

And sadly, these figures are likely a vast undercount. Law enforcement submit this data to the FBI of their own volition, and in 2020, thousands of agencies did not submit their crime statistics.

Race-Related Hate Crimes are Most Common

Historically, the most reported hate crimes in the U.S. are related to race. In 2020, about 66% of incidents were motivated by discrimination against the victim’s race or ethnicity.

Type of BiasTotal Number of Crimes (2020)% of Total
Race/Ethnicity679366.0%
Religion162615.8%
Sexual Orientation131112.7%
Other5695.5%
Total10299--

While race is the most commonly reported hate crime, incidents related to gender and gender identity are on the rise—in 2020, there was a 9% increase in gender-related incidents, and a 34% increase in gender identity-related incidents, compared to 2019 figures.

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Science

Visualizing the Relationship Between Cancer and Lifespan

New research links mutation rates and lifespan. We visualize the data supporting this new framework for understanding cancer.

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Cancer and lifespan

A Newfound Link Between Cancer and Aging?

A new study in 2022 reveals a thought-provoking relationship between how long animals live and how quickly their genetic codes mutate.

Cancer is a product of time and mutations, and so researchers investigated its onset and impact within 16 unique mammals. A new perspective on DNA mutation broadens our understanding of aging and cancer development—and how we might be able to control it.

Mutations, Aging, and Cancer: A Primer

Cancer is the uncontrolled growth of cells. It is not a pathogen that infects the body, but a normal body process gone wrong.

Cells divide and multiply in our bodies all the time. Sometimes, during DNA replication, tiny mistakes (called mutations) appear randomly within the genetic code. Our bodies have mechanisms to correct these errors, and for much of our youth we remain strong and healthy as a result of these corrective measures.

However, these protections weaken as we age. Developing cancer becomes more likely as mutations slip past our defenses and continue to multiply. The longer we live, the more mutations we carry, and the likelihood of them manifesting into cancer increases.

A Biological Conundrum

Since mutations can occur randomly, biologists expect larger lifeforms (those with more cells) to have greater chances of developing cancer than smaller lifeforms.

Strangely, no association exists.

It is one of biology’s biggest mysteries as to why massive creatures like whales or elephants rarely seem to experience cancer. This is called Peto’s Paradox. Even stranger: some smaller creatures, like the naked mole rat, are completely resistant to cancer.

This phenomenon motivates researchers to look into the genetics of naked mole rats and whales. And while we’ve discovered that special genetic bonuses (like extra tumor-suppressing genes) benefit these creatures, a pattern for cancer rates across all other species is still poorly understood.

Cancer May Be Closely Associated with Lifespan

Researchers at the Wellcome Sanger Institute report the first study to look at how mutation rates compare with animal lifespans.

Mutation rates are simply the speed at which species beget mutations. Mammals with shorter lifespans have average mutation rates that are very fast. A mouse undergoes nearly 800 mutations in each of its four short years on Earth. Mammals with longer lifespans have average mutation rates that are much slower. In humans (average lifespan of roughly 84 years), it comes to fewer than 50 mutations per year.

The study also compares the number of mutations at time of death with other traits, like body mass and lifespan. For example, a giraffe has roughly 40,000 times more cells than a mouse. Or a human lives 90 times longer than a mouse. What surprised researchers was that the number of mutations at time of death differed only by a factor of three.

Such small differentiation suggests there may be a total number of mutations a species can collect before it dies. Since the mammals reached this number at different speeds, finding ways to control the rate of mutations may help stall cancer development, set back aging, and prolong life.

The Future of Cancer Research

The findings in this study ignite new questions for understanding cancer.

Confirming that mutation rate and lifespan are strongly correlated needs comparison to lifeforms beyond mammals, like fishes, birds, and even plants.

It will also be necessary to understand what factors control mutation rates. The answer to this likely lies within the complexities of DNA. Geneticists and oncologists are continuing to investigate genetic curiosities like tumor-suppressing genes and how they might impact mutation rates.

Aging is likely to be a confluence of many issues, like epigenetic changes or telomere shortening, but if mutations are involved then there may be hopes of slowing genetic damage—or even reversing it.

While just a first step, linking mutation rates to lifespan is a reframing of our understanding of cancer development, and it may open doors to new strategies and therapies for treating cancer or taming the number of health-related concerns that come with aging.

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