10 Times Big Companies Turned People into Test Subjects

by Johan Tobias

Long before every click could be tracked, big businesses were already turning ordinary people into unwitting participants in massive experiments. From factory floors to movie theaters, from dating apps to political polls, these ten stories show how corporations have used the power of data and psychology to shape behavior on a massive scale.

Why These Times Big Experiments Matter

10 Google Tested 41 Shades of Blue

When Google needed to decide which hue would generate the most clicks on its advertising links, it didn’t rely on a designer’s gut feeling. Instead, the search giant ran a massive A/B test that presented users with 41 subtly different shades of blue, each user seeing only one version. The experiment turned everyday searches into a sprawling behavioral study.

The controversy erupted after designer Douglas Bowman left Google in 2009, criticizing the company’s near‑obsession with data. He recalled a debate over two shades of blue that prompted the team to test 41 alternatives rather than trust its own designers. Later, executive Marissa Mayer disclosed that the optimal shade added roughly $200 million in annual revenue.

No one suffered any psychological harm from the infinitesimal color differences, but the study proved that a hue too fine for most eyes could still shift click‑through rates enough to generate a fortune. Google had transformed a simple aesthetic choice into a measurable, highly profitable human reflex.

9 Disney Trained a Computer to Read Moviegoers’ Faces

Disney’s long‑standing tradition of test screenings got a high‑tech upgrade in 2017. Using infrared cameras, researchers recorded the facial movements of 3,179 audience members across 150 screenings of blockbusters such as The Jungle Book, Zootopia, and Star Wars: The Force Awakens.

The resulting dataset contained about sixteen million individual observations, which fed an artificial‑intelligence system capable of recognizing patterns in viewers’ expressions. After watching a portion of a film, the AI could predict how faces would react in later scenes.

Rather than hooking viewers to heart monitors, Disney captured involuntary smiles, frowns, and other micro‑expressions, turning a live audience into a stream of emotional data that could be analyzed without ever asking a single question.

8 Western Electric Kept Changing Workers’ Conditions

Starting in 1924, Western Electric turned a section of its Hawthorne Works plant near Chicago into a laboratory for studying productivity. Early tests examined whether brighter lighting boosted output, alternating illumination for selected workers while a control group kept the status quo. Surprisingly, productivity sometimes rose when lights were dimmed as well as when they were brightened.

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Subsequent experiments moved small groups of women into dedicated test rooms, where researchers tweaked rest breaks, work hours, pay structures, supervision styles, and access to refreshments—all while measuring how quickly the women assembled telephone equipment. Thousands of interviews probed morale and workplace relationships.

The work gave rise to the “Hawthorne effect” – the notion that people alter their behavior when they know they’re being observed. Although later scholars debated the validity of that tidy conclusion, the studies irrevocably reshaped management theory, turning attention, relationships, and observation into variables that employers believed they could manage.

7 Ford Investigators Inspected Employees’ Private Lives

In 1914 Ford Motor Company rolled out its famous five‑dollar workday, but the extra pay wasn’t automatically granted. A profit‑sharing component required workers to meet the standards of a newly formed Sociological Department, which decided who qualified for the bonus.

Investigators visited employees’ homes, interviewing spouses, neighbors, and the workers themselves. They assessed cleanliness, savings, debts, drinking habits, marital arrangements, and leisure activities. Immigrant laborers were urged to study English and adopt Ford’s preferred version of American domestic life. Failure to meet these expectations could mean losing the additional pay.

Ford framed the program as benevolent reform, yet it effectively turned private behavior into a job qualification. The experiment tested whether higher wages, combined with surveillance and the threat of financial loss, could reshape lives far beyond the factory floor. Though the Sociological Department was eventually disbanded, the model foreshadowed later corporate attempts to monitor and influence employee conduct outside work.

6 Uber Used Psychological Nudges to Keep Drivers Working

Uber marketed its platform as the epitome of flexible work: drivers could log on and off whenever they wanted. Behind the scenes, the app employed behavioral‑psychology tricks to nudge drivers to stay online. Features included earnings goals, congratulatory messages, badges, and alerts highlighting nearby demand.

The driver app could also queue a passenger before the current ride ended, shortening the natural pause when a driver might decide to stop for the day. One technique mimicked the automatic‑play of the next episode on streaming services – drivers had to interrupt a process already propelling them toward another fare.Other prompts reminded drivers they were close to a self‑selected earnings target, exploiting the reluctance to quit just short of a goal. Uber argued these notifications supplied useful information and helped drivers meet personal targets. The real issue lay in the information asymmetry: Uber knew demand, earnings, and individual behavior, while drivers only saw the curated prompts. The app became simultaneously workplace, supervisor, scoreboard, and covert behavioral experiment.

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5 OkCupid Lied About Romantic Compatibility

In 2014, OkCupid co‑founder Christian Rudder published a blog post titled “We Experiment on Human Beings!” describing a series of tests run on the site’s users. One experiment temporarily stripped profile photographs; another hid profile text to gauge how much users relied on appearance.

The most controversial test tinkered with the compatibility percentages shown to potential matches. Some pairs rated as poor matches were told they were highly compatible, while genuinely strong matches were shown low scores. OkCupid then tracked whether the pairs exchanged messages and continued their conversations.

The findings indicated that the displayed score could shape behavior: poorly matched users who were told they were compatible behaved more like good matches, whereas highly compatible users communicated less when shown a low score. Rather than merely observing attraction, OkCupid altered expectations to see whether belief in an algorithm could help forge the connections it claimed to predict.

4 LinkedIn Quietly Altered Users’ Employment Networks

From 2015 to 2019, LinkedIn ran a massive experiment via its “People You May Know” recommendation engine. The algorithm was tweaked so that some users received more suggestions involving strong social connections, while others were nudged toward weaker ties. Roughly twenty million users took part.

Over the five‑year span, those participants forged about two billion new connections, submitted more than seventy million job applications, and accepted roughly 600 000 jobs identified through LinkedIn. The study tested the classic “strength of weak ties” theory, which posits that acquaintances can provide opportunities unavailable through close friends whose circles overlap heavily.

Moderately weak connections proved especially valuable for job seekers, though outcomes varied by industry and how tie strength was defined. While the research provided vital evidence about professional networking, it also revealed that a simple algorithmic adjustment could steer whom millions of people met and ultimately where some of them worked. A helpful list of suggested contacts doubled as a five‑year employment experiment.

3 Facebook Tested Whether Friends Could Make People Vote

On the day of the 2010 U.S. congressional elections, Facebook ran an experiment involving about 61 million users. One group received a plain informational message encouraging them to vote. Another saw the same message paired with photos of Facebook friends who had clicked an “I Voted” button. A control group saw no special voting prompt.

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Researchers measured whether users searched for polling‑place information, publicly reported voting, and appeared in official voting records. The version featuring friends produced a stronger effect than the informational-only message, and the influence spread through close relationships, indicating that political participation could travel across an online social network.

Facebook estimated that the friend‑enhanced message directly generated tens of thousands of additional votes, with social transmission potentially adding hundreds of thousands more. The platform didn’t tell people which candidates to support, but it demonstrated that simply displaying friends’ voting behavior could modestly shift real‑world electoral participation.

2 Facebook Secretly Adjusted the Emotional Tone of News Feeds

In January 2012, Facebook altered the News Feeds of 689 003 users for a week. Some participants saw fewer posts containing positive emotional language, while others saw fewer posts with negative language. Researchers then examined the words those users wrote in their subsequent posts.

Those exposed to fewer positive posts produced slightly fewer positive words and a few more negative ones. Conversely, users shown fewer negative posts wrote marginally more positive language. The effects were tiny, but the study argued it demonstrated emotional contagion—emotions spreading through a social network without direct, face‑to‑face interaction.

The revelation sparked outrage in 2014 because participants had not been explicitly told their feeds were being manipulated for a psychological experiment. Critics questioned whether accepting Facebook’s general data policy constituted meaningful consent. The company had changed the emotional content reaching hundreds of thousands of people to see whether their own emotions—and the language they shared with others—would follow.

1 Imperial Tobacco Observed Teenagers Behind Closed Doors

In 1977 Imperial Tobacco commissioned “Project 16,” a research effort aimed at understanding the smoking attitudes of 16‑ and 17‑year‑olds. The study gathered teenagers in hotel‑room discussion groups, where researchers posed questions about cigarettes, smoking, and the social meaning of the habit.

These sessions weren’t ordinary interviews. Company representatives watched the conversations through closed‑circuit television, allowing them to study the teenagers from outside the room. The resulting report dissected the language young people used, the peer pressures surrounding smoking, and the role cigarettes played in identity and acceptance.

While the tobacco industry later claimed it didn’t market to minors, Project 16 shows that a major manufacturer deliberately collected detailed information about under‑age consumers and their psychological relationship with smoking. The teenagers were not being studied to help them quit; their private discussions gave the company insight into how a product capable of lifelong dependence was perceived by youth.

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