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.
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.
The 50 Biggest Video Game Franchises by Total Revenue
Video games generate billions in revenue every year. Where the majority of this revenue comes from, however, may be surprising to you.
The 50 Biggest Video Game Franchises by Total Revenue
When the world’s first video game, Tennis for Two, was revealed at a science fair in 1958, people were fascinated—there was clearly something special.
Since these humble beginnings, video games have rode waves of technological advancements to burgeon into a $100+ billion industry. To visualize this success, today’s infographic from TitleMax lists the top 50 highest-grossing video games franchises.
While this feat is impressive on its own, the way many of these franchises generate their revenue may come as a shock.
How Do Video Games Generate Billions?
Video games first saw large-scale commercial success in the 1980s, in what some describe as the “golden age of arcade games”. As arcades popped up across America, renowned classics like Pac-man and Space Invaders raked in large sums of money, one coin at a time.
Today, there are two revenue models generally followed by video game publishers—the traditional pay-to-play (P2P) model, and the newer free-to-play (F2P) model.
For much of the industry’s modern history, P2P models have been the default option. A developer incurs costs to produce its games, so it sells them to consumers to recover costs and make a profit.
Under a F2P model, however, the developer essentially distributes its games for free. Players don’t have to pay anything if they don’t want to, and the developer runs the risk that it may never recoup its costs.
So why would a developer ever choose a F2P model? Let’s look at industry data from 2019:
|Platform||Free-to-play (F2P) Revenue||Pay-to-play (P2P) Revenue|
Those aren’t typos. F2P games accounted for a whopping 82% of industry revenue in 2019. What’s more, is that this gap continues to grow: since the previous year, F2P revenue grew 6%, while P2P revenue fell by 5%.
The Power of Discretionary Spending
There’s a number of F2P franchises listed in today’s graphic which have grossed well over a billion dollars in total revenue.
|#15||League of Legends||Riot Games¹||PC||$8.4B|
|#21||Arena of Valor||Tencent||Mobile||$6.4B|
|#23||Clash of Clans||Supercell²||Mobile||$6.0B|
|#27||Candy Crush Saga||King³||Mobile||$4.9B|
|#46||Fortnite||Epic Games⁴||Console, Mobile, PC||$2.5B|
¹wholly-owned subsidiary of Tencent, ²majority-owned subsidiary of Tencent, ³wholly-owned subsidiary of Activision Blizzard, ⁴Tencent owns a 40% stake.
Because these types of games are often published for PC or mobile phone (most people have at least one of these), their accessibility becomes a key advantage. This is especially true in China, where video game consoles like Xbox have been banned in the past.
Yet, simply amassing a large player base isn’t enough. With no money being paid upfront, developers must create compelling incentives for players to willingly part with their cash.
League of Legends
League of Legends, one of the world’s most popular video games, is widely considered a successful pioneer in this regard.
When developer Riot Games chose a F2P model for its game, it took a gamble. The model was largely unproven for titles of its genre, and it’s main source of revenue was set to be the sale of purely cosmetic items called “character skins”.
Nobody would have tried Legends if we put a price point in front of it because the game is tough to sell
—Marc Merrill, Co-founder of Riot Games
Part of the game’s incentive to spend comes from its longevity—League of Legends has just entered its 11th year. Rather than release a new title, the developer makes continuous improvements to the existing game, with each iteration dubbed as a new “season”.
If a traditional P2P game represents a movie, League of Legends could then be considered a long-running TV show. For example, while there’s been one League of Legends since 2009, there’s been 11 Call of Duty titles over that same time frame.
Joining the Party
Some of the world’s most successful video game franchises, which have historically published games under the P2P model, are also expanding into free games with great success.
For Pokémon (#1 in gross revenue), product diversification is nothing new. While the franchise manages a universe of offerings from physical merchandise to movies, its free mobile augmented reality (AR) game, Pokémon Go, may be one of its most successful endeavors.
The game, which leads players out into the real world to catch virtual monsters, was a massive sensation when it launched in 2016. In fact, it was so popular (and distracting) it’s been estimated to have contributed to more than 100,000 car accidents.
Four years since its release, Pokémon Go is a shining example of what the F2P model can achieve—the game has racked up over 1 billion downloads and generated an incredible $3 billion in revenues.
|Year||Gross Revenue||% Change|
Source: Sensor Tower Store Intelligence
Part of Pokémon Go’s incentive to spend comes from its incredibly unique social experience—it
turns real world landmarks into hubs where players can gather. By simply leveraging the capabilities of existing smartphones, it’s also extremely accessible.
Is Free the New Norm?
As more and more franchises successfully expand into free games, it’s clear that the F2P model will be the primary driver of future growth. The relatively higher accessibility of F2P games is also crucial to tap into the quickly growing esports industry.
However, traditional P2P games, which are now being called “premium games”, still have some merit to them. These games are often associated with a higher level of quality which people are happy to pay for.
Yet, as the legitimacy and success of the F2P model continues to develop, this quality gap could also shrink in the future.
Editor’s note: The revenue figures in today’s infographic include merchandise and other related products.
Infection Trajectory: See Which Countries are Flattening Their COVID-19 Curve
The number of COVID-19 cases around the world continues to grow, but each country has a different infection trajectory. This chart tells the story.
At the outset of 2020, the world looked on as China grappled with an outbreak that seemed be spiraling out of control.
Two months later, the situation is markedly different. After aggressive testing and quarantine efforts, China’s outbreak of Novel Coronavirus (COVID-19) appears to be leveling off.
Now, numerous countries around the world are in the beginning stages of managing their own outbreaks. March 15th, 2020, marked a significant statistical milestone for this, as confirmed cases of COVID-19 outside of China surpassed the Chinese total.
The tracker above, by Our World in Data, charts the trajectory of the growing number of countries with more than 100 confirmed cases of COVID-19. As the number of new infections reported around the world continues to grow, which countries are winning the battle against COVID-19, and which are still struggling to slow the rate of infection?
What’s Your National Infection Trajectory?
As of publishing time, 39 countries have passed the threshold of 100 confirmed cases, with many more countries on the cusp. By comparing infection trajectories from the 100 case mark, we’re able to see a clearer picture of how quickly the virus is spreading within various countries.
A rapid “doubling rate” can spell big trouble, as even countries with advanced healthcare systems can become overwhelmed by the sheer number of cases. This was the case in the Lombardy region of Italy, where hospitals were overloaded and an increasing number of medical staff are under quarantine after testing positive for the virus. Nearly 10% of COVID-19 patients in Lombardy required intensive care, which stretched resources to their breaking point.
Other countries are looking to avoid this situation by “flattening the curve” of the pandemic. In other words, preventing and delaying the spread of the virus so that large portions of the population aren’t sick at the same time.
Original concept by Drew Harris
While all the countries on this tracker are united behind a common goal – stamping out COVID-19 as soon as possible – each country has its own approach and unique challenges when it comes to keeping their population safe. Of course, countries that are just beginning to experience exponential growth in case numbers have the benefit of learning from mistakes made elsewhere, and adopting ideas that are proving successful at slowing the rate of infection.
Many jurisdictions are implementing some or all of these measures to help flatten the curve:
- Encouraging social distancing
- Encouraging working from home
- Closing schools and other institutions
- Placing hard limits on the size of crowds at events
The following chart explains why this last measure is critical to limiting the spread of the virus.
In scenario B above, which assumes just 20,000 active cases of COVID-19 in the U.S., there’s nearly a 50% chance an infected person will be attending a 10,000 person conference or sporting event. This is precisely the reason why temporary limits on crowd size are popping up in many jurisdictions around the world.
Direct losses due to canceled tech conferences alone, such as SXSW and the Electronic Entertainment Expo, have already surpassed the $1 billion mark, but despite the short-term economic pain of cancellations and decreased entertainment spending, the costs of business-as-usual could be incalculable.
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