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The washing machine's small-load line is put under study

The washing machine's small-load line is put under study

A new research poster from the School of Emergent Priorities compares household loads on either side of a front-loader's small-load cutoff, and the Trajectory Analytics Group has adopted a ballast rule for its own reference washing.

Loads just under 2.5 kg are washed again far more often than loads just over it, and the Trajectory Analytics Group now ballasts its own washing to the line

The Trajectory Analytics Group will not open its next fortnightly sitting until the reference washing has been weighed, and any load that falls short of 2.5 kg will be made up to the line with a towel. The rule follows Saved Once, Washed Twice, a new research poster from the School of Emergent Priorities on the point at which a household front-loader decides that a load is small.

The households who lent us their baskets asked for very little, and we have tried to repay them by counting with care.

— Dr Anouk Mensah, Postdoctoral Fellow, School of Emergent Priorities

The poster reports 2,316 loads from 148 households over twenty-six weeks, each weighed dry before it went into the drum. Loads landing just beneath the machine’s line were put through a second cycle far more often than loads just above it, and the water saved by the shorter programme was returned, and a little more, by the cycles that followed. The work compares the two sides of the line and nothing else. The Group has responded by holding its own washing to the boundary.

Ms Hedvig Anyanwu, Doctoral Candidate and the poster’s lead author, said the study “showed us how much a household decides at the moment a machine decides for it, and we are glad to have that on the record.” Dr Ronja Oyelaran, Senior Lecturer, is a co-author.

The University is proud to see so small a threshold given so full a hearing, and the School expects the ballast towels to become a settled part of the Group’s sittings in due course.

The full poster is available from the University’s research repository under an open licence, doi:10.5555/slop.c1lw1n.