In Simple Words
Think of a group of drivers waiting at an intersection where everyone secretly wants to let a merging car pass, but nobody moves because they assume other drivers will get angry. When three people sit together and talk about traffic courtesy for ten minutes, the driver who cares most speaks up first, realizing others actually agree. Once the unwritten rule is spoken aloud, everyone changes how they drive because they now know the rest of the group approves.
Non-transgender residents of Chennai
- Private choices without discussion
- Group used for comparison
- Three-person discussion
- Selection 17 percentage points higher
Immediate private hiring choices. At 2–9 weeks, a hypothetical follow-up gain was 4 points. Two-person and public-choice arms omitted.
See source →Research question
Intergroup contact interventions reduce prejudice but are difficult to scale because individuals predominantly interact within their own identity groups. Labor market discrimination against transgender workers persists due to social coordination barriers and unobserved group norms.
Participants
3,397 non-transgender participants in urban Chennai, India.
Study Design
Randomized controlled trial framed as market research for a grocery delivery service; participants made 10 private binary hiring choices between cisgender and transgender workers, assigned to 3-person discussions, 2-person discussions, public decisions without discussion, or private individual control groups, with a follow-up survey averaging 35 days later.
Results
3-person group discussions increased selection of transgender delivery workers by 17 percentage points (a 42% increase over control), while 2-person discussions increased selection by 13 percentage points. 25% of the short-term impact persisted after 2–9 weeks (4 percentage points or an 11% increase over control), whereas public non-discussion produced no significant change.
Takeaway
Organize structured 10-minute peer discussions among majority-group hiring managers prior to candidate selection to activate latent consensus around non-discrimination.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Follow-up
Collecting more information about participants later in a study to see what has happened to them. The term can also mean the length of time researchers keep track of them.
ExampleResearchers interview the same workers three months after a programme ends. That later interview is a follow-up.
GET-IT glossary · Follow-up ↗Read more about follow-up →- Percentage points
The difference between two percentages.
ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.
Office for National Statistics · Percentages ↗Read more about percentage points →- Randomized controlled trial
A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.
ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.
GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →