Infographic: 50 Cognitive Biases in the Modern World
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50 Cognitive Biases in the Modern World

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50 Cognitive Biases in the Modern World

50 Cognitive Biases in the Modern World

Cognitive biases are widely accepted as something that makes us human.

Every day, systematic errors in our thought process impact the way we live and work. But in a world where everything we do is changing rapidly—from the way we store information to the way we watch TV—what really classifies as rational thinking?

It’s a question with no right or wrong answer, but to help us decide for ourselves, today’s infographic from TitleMax lists 50 cognitive biases that we may want to become privy to.

In the name of self-awareness, here’s a closer look at three recently discovered biases that we are most prone to exhibiting in the modern world.

Automation Bias

AI-infused applications are becoming incredibly good at “personalizing” our content, but will there come a time when we let algorithms make all of our decisions?

Automation bias refers to the tendency to favor the suggestions of automated systems.

Take Netflix, for example. Everything we see on the platform is the result of algorithms—even the preview images that are generated. Then, to harness the power of data and machine learning, Netflix categorizes its content into tens of thousands of micro-genres. Pairing these genre tags with a viewer’s history allows them to assign several of over 2,000 “taste profiles” to each user.

And while there’s nothing wrong with allowing Netflix to guide what we watch, there’s an enormous sea of content standing by. Estimates from 2015 claimed it would take nearly four years to watch all of Netflix’s content. Thousands more hours of content have since been added.

If we want to counter this cognitive bias, finding a new favorite series on platforms like Netflix may require some good old-fashioned human curiosity.

The Google Effect

Also known as “digital amnesia”, the aptly named Google Effect describes our tendency to forget information that can be easily accessed online.

First described in 2011 by Betsy Sparrow (Columbia University) and her colleagues, their paper described the results of several memory experiments involving technology.

In one experiment, participants typed trivia statements into a computer and were later asked to recall them. Half believed the statements were saved, and half believed the statements were erased. The results were significant: participants who assumed they could look up their statements did not make much effort to remember them.

Because search engines are continually available to us, we may often be in a state of not feeling we need to encode the information internally. When we need it, we will look it up.

– Sparrow B, et al. Science 333, 777 (2011) 

Our modern brains appear to be re-prioritizing the information we hold onto. Notably, the study doesn’t suggest we’re becoming less intelligent—our ability to learn offline remains the same.

The IKEA Effect

Identified in 2011 by Michael Norton (Harvard Business School) and his colleagues, this cognitive bias refers to our tendency to attach a higher value to things we help create.

Combining the Ikea Effect with other related traits, such as our willingness to pay a premium for customization, is a strategy employed by companies seeking to increase the intrinsic value that we attach to their products.

For instance, American retailer Build-A-Bear Workshop is anchored around creating a highly interactive customer experience. With the help of staff, children (or adults) can assemble their stuffed animals from scratch, then add clothing and accessories at extra cost.

Nike also incorporates this bias into its offering. The footwear company offers a Nike By You line of customizable products, where customers pay a premium to design bespoke shoes with an extensive online configurator.

While there’s nothing necessarily wrong with our susceptibility to the Ikea Effect, understanding its significance may help us make more appropriate decisions as consumers.

What Can We Do?

As we navigate an increasingly complex world, it’s natural for us to unconsciously adopt new patterns of behavior.

Becoming aware of our cognitive biases, and their implications, can help us stay on the right course.

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Misc

Iconic Infographic Map Compares the World’s Mountains and Rivers

This iconic infographic map is an early and ambitious attempt to compare the world’s tallest mountains and longest rivers.

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Today, highly detailed maps of our planet’s surface are just a click away.

In times past, however, access to information was much more limited. It wasn’t until the 1800s that comparison diagrams and maps became widely accessible, and people found new ways to learn about the world around them.

The image above, published by J.H. Colton in 1849, is believed to be the first edition of the iconic mountains and rivers infographic map. This comparison chart concept would see a number of iterations over the years as it appeared in Colton’s world atlases.

Inspiring a Classic Infographic Map

A seminal example of this style of infographic was produced by Alexander von Humboldt in 1805. The diagram below is packed with information and shows geographical features in a way that was extremely novel at the time.

Alexander von Humboldt mountain diagram

In 1817, the brothers William and Daniel Lizars produced the first comparative chart of the world’s mountains and rivers. Breaking up individual natural features into components for comparison was a very innovative approach at that time, and it was this early French language prototype that lead to the Colton’s versions we’re familiar with today.

Digging into the Details

As is obvious, even at first glance, there is a ton of detail packed into this infographic map.

Firstly, rivers are artificially straightened and neatly arranged in rows for easy comparison. Lakes, mountain ranges, and cities are all labeled along the way. This unique comparison brings cities like New Orleans and Cairo side by side.

detailed view of longest rivers visualization

Of course, this visualization was based on the best available data at the time. Today, the Nile is widely considered to be the world’s longest river, followed by the Amazon and Yangtze.

Over on the mountain side, there are more details to take in. The visualization includes volcanic activity, notes on vegetation, and even the altitude of selected cities and towns.

detailed view of tallest mountains visualization

Above are a few of South America’s high-altitude population centers, including La Paz, which is the highest-elevation capital city in the world.

In the legend, many of the mountains are simply named “peak”. While this generic labeling might seem like a throwback to a time when the world was still being explored, it’s worth noting that today’s second tallest mountain is still simply referred to as K2.

What details do you notice while exploring this iconic infographic map?

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Demographics

Mapped: A Decade of Population Growth and Decline in U.S. Counties

This map shows which counties in the U.S. have seen the most growth, and which places have seen their populations dwindle in the last 10 years.

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A Decade of Population Growth and Decline in U.S. Counties

There are a number of factors that determine how much a region’s population changes.

If an area sees a high number of migrants, along with a strong birth rate and low death rate, then its population is bound to increase over time. On the flip side, if more people are leaving the area than coming in, and the region’s birth rate is low, then its population will likely decline.

Which areas in the United States are seeing the most growth, and which places are seeing their populations dwindle?

This map, using data from the U.S. Census Bureau, shows a decade of population movement across U.S. counties, painting a detailed picture of U.S. population growth between 2010 and 2020.

Counties With The Biggest Population Growth from 2010-2020

To calculate population estimates for each county, the U.S. Census Bureau does the following calculations:

A county’s base population → plus births → minus deaths → plus migration = new population estimate

 
From 2010 to 2020, Maricopa County in Arizona saw the highest increase in its population estimate. Over a decade, the county gained 753,898 residents. Below are the counties that saw the biggest increases in population:

RankCountyPoint of ReferenceStatePop. Growth (2010–2020)
#1Maricopa CountyPhoenix, ScottsdaleArizona+753,898
#2Harris CountyHoustonTexas+630,711
#3Clark CountyLas VegasNevada+363,323
#4King CountySeattleWashington+335,884
#5Tarrant CountyFort Worth, ArlingtonTexas+305,180
#6Bexar CountySan AntonioTexas+303,982
#7Riverside CountyRiverside, Palm SpringsCalifornia+287,626
#8Collin CountyPlanoTexas+284,967
#9Travis CountyAustinTexas+270,111
#10Hillsborough CountyTampaFlorida+264,446

Phoenix and surrounding areas grew faster than any other major city in the country. The region’s sunny climate and amenities are popular with retirees, but another draw is housing affordability. Families from more expensive markets—California in particular—are moving to the city in droves. This is a trend that spilled over into the pandemic era as more people moved into remote and hybrid work situations.

Texas counties saw a lot of growth as well, with five of the top 10 gainers located in the state of Texas. A big draw for Texas is its relatively affordable housing market. In 2021, average home prices in the state stood at $172,500$53,310 below the national average.

Counties With The Biggest Population Drops from 2010-2020

On the opposite end of the spectrum, here’s a look at the top 10 counties that saw the biggest declines in their populations over the decade:

RankCountyPoint of ReferenceStatePop. Growth (2010–2020)
#1Cook CountyChicagoIllinois-90,693
#2Wayne CountyDetroitMichigan-74,224
#3Cuyahoga CountyClevelandOhio-50,220
#4Genesee CountyFlintMichigan-20,165
#5Suffolk CountyLong IslandNew York-20,064
#6Caddo ParishShreveportLouisiana-18,173
#7Westmoreland CountyMurrysvillePennsylvania-17,942
#8Hinds CountyJacksonMississippi-17,751
#9Kanawha CountyCharlestonWest Virginia-16,672
#10Cambria CountyJohnstownPennsylvania-14,786

The largest drops happened in counties along the Great Lakes, including Cook County (which includes the city of Chicago) and Wayne County (which includes the city of Detroit).

For many of these counties, particularly those in America’s “Rust Belt”, population drops over this period were a continuation of decades-long trends. Wayne County is an extreme example of this trend. From 1970 to 2020, the area lost one-third of its population.

U.S. Population Growth in Percentage Terms (2010-2020)

While the map above is great at showing where the greatest number of Americans migrated, it downplays big changes in counties with smaller populations.

For example, McKenzie County in North Dakota, with a 2020 population of just 15,242, was the fastest-growing U.S. county over the past decade. The county’s 138% increase was driven primarily by the Bakken oil boom in the area. High-growth counties in Texas also grew as new sources of energy were extracted in rural areas.

The nation’s counties are evenly divided between population increase and decline, and clear patterns emerge.

population changes in u.s. counties (%)

Pandemic Population Changes

More recent population changes reflect longer-term trends. During the COVID-19 pandemic, many of the counties that saw the strongest population increases were located in high-growth states like Florida and Texas.

Below are the 20 counties that grew the most from 2020 to 2021.

RankCountyPoint of ReferenceStatePop. Growth (2020–2021)
#1Maricopa CountyPhoenixArizona+58,246
#2Collin CountyPlanoTexas+36,313
#3Riverside CountyRiverside, Palm SpringsCalifornia+35,631
#4Fort Bend CountySugar LandTexas+29,895
#5Williamson CountyGeorgetownTexas+27,760
#6Denton CountyDentonTexas+27,747
#7Polk CountyLakelandFlorida+24,287
#8Montgomery CountyThe WoodlandsTexas+23,948
#9Lee CountyFort MyersFlorida+23,297
#10Utah CountyProvoUtah+21,843
#11Pinal CountySan Tan ValleyArizona+19,974
#12Clark CountyLas VegasNevada+19,090
#13Pasco CountyNew Port RicheyFlorida+18,322
#14Wake CountyRaleighNorth Carolina+16,651
#15St. Johns CountySt. AugustineFlorida+15,550
#16Hillsborough CountyTampaFlorida+14,814
#17Bexar CountySan AntonioTexas+14,184
#18Ada CountyBoiseIdaho+13,947
#19Osceola CountyKissimmeeFlorida+12,427
#20St. Lucie CountyFort PierceFlorida+12,304

Many of these counties are located next to large cities, reflecting a shift to the suburbs and larger living spaces. However, as COVID-19 restrictions ease, and the pandemic housing boom tapers off due to rising interest rates, it remains to be seen whether the suburban shift will continue, or if people begin to migrate back to city centers.

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