Forty Students, One Classic Experiment: The Quiet Economics of Transpacific Replication
Photo: EGilham, CC BY-SA 4.0, via Wikimedia Commons
When a research associate at a large public university in the American Midwest decided last year to replicate a landmark study on decision fatigue, the arithmetic was brutal. The original experiment had relied on roughly 300 participants. At the going rate for compensated subjects in the United States — typically fifteen to twenty dollars per session, before recruitment fees and lab overhead — the bill approached six figures before a single data point was collected.
Instead of scaling back, the lab made an unusual wager. It partnered with undergraduate cohorts at two Indonesian universities, one in Surabaya and one in Bandung, enlisting roughly forty students to run the study locally. The total cost, including participant compensation, translation of materials into Bahasa Indonesia, and modest stipends for student coordinators, came in under nine percent of the original estimate.
Why Replication Is a Budget Problem
The replication crisis that has roiled psychology and adjacent fields over the past decade is usually framed as a crisis of trust. But it is equally a crisis of cost. Verification does not win grants the way novelty does, and American labs that want to rerun foundational studies routinely find themselves choosing between underpowered samples and unfunded side projects.
Enter what some researchers have begun calling distributed replication: splitting a rerun across multiple sites, often in countries where participant compensation and infrastructure costs are dramatically lower. Indonesia, with the world's fourth-largest university population and a rapidly expanding cohort of research-active undergraduates, has become an attractive node in this emerging network.
"The students aren't cheap labor in the pejorative sense — they're the workforce," says one American collaborator familiar with the project, who asked not to be named before publication. "They get methods training, a publication line, and exposure to open-science workflows. We get a sample we simply could not afford domestically."
Inside the Surabaya–Bandung Model
The arrangement that emerged from the Midwest–Indonesia partnership followed a now-familiar template. Faculty supervisors at the Indonesian universities recruited senior undergraduates, many of them completing skripsi — the mandatory undergraduate thesis that every Indonesian bachelor's candidate must produce. Rather than inventing a project from scratch, these students joined a pre-registered replication with fully specified protocols.
The materials were translated and back-translated to guard against semantic drift. Student teams ran sessions in parallel across the two cities, uploading anonymized data to a shared repository on a weekly schedule. American collaborators audited the pipeline remotely, flagging deviations within days rather than months.
The result, now under review at an open-access methods journal, confirmed the original effect at a smaller magnitude — a finding that would have been unattainable for the American lab alone at its budget. Just as significantly, forty Indonesian undergraduates now hold authorship or acknowledgment credits on a study that American hiring committees can read.
The Ethical Ledger
Not everyone is comfortable with the arrangement. Critics within the open-science community have raised concerns about a model that routes the unglamorous work of verification to institutions with fewer resources, while interpretive authority and corresponding-author status remain in the Global North. If replication becomes something that wealthier labs commission rather than share, the field risks building a two-tier system in which Indonesian students collect data but rarely set research agendas.
Practitioners of the model counter that the alternative — studies left unreplicated, or replicated only in wealthy countries with WEIRD participant samples — is worse. Cross-cultural reruns, they argue, do double duty: they test whether a finding generalizes beyond the American undergraduate subject pool, a long-standing weakness in psychology, while simultaneously channeling funding and training into institutions that have historically been excluded from the citation economy.
The Surabaya and Bandung teams, for their part, negotiated authorship terms before data collection began — a detail the American lab credits with keeping the partnership equitable rather than extractive.
What It Means for American Science
For US-based researchers watching the model, the implications are practical. Federal grant budgets have not kept pace with the true cost of adequately powered studies. Multi-site replication, with Indonesian student cohorts functioning as trained, motivated satellite teams, offers a path to verification at a price point that principal investigators can actually justify to a grants office.
It also reshapes the career calculus for the students involved. An Indonesian undergraduate with a pre-registered replication on an international collaboration, documented in an open repository, enters graduate admissions — whether in Jakarta, Leiden, or an American Midwest flagship — with evidence of methods fluency that a conventional thesis rarely demonstrates.
The wager, in other words, cuts both ways. American labs are betting that distributed replication solves their economics problem. Indonesian student teams are betting that participation converts into durable scientific standing. On the evidence of this first rerun, both sides may be right — and the classic studies of psychology may finally get the second look they have needed, at a price the field can afford.