Infrastructure bias

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In economics and social policy, infrastructure bias is the influence of the location and availability of pre-existing infrastructure, such as roads and telecommunications facilities, on social and economic development.

In science, infrastructure bias is the influence of existing social or scientific infrastructure on scientific observations.

In astronomy and particle physics, where the availability of particular kinds of telescopes or particle accelerators acts as a constraint on the types of experiments that can be done, the data that can be retrieved is biased towards that which can be obtained by the equipment.

Procedural bias, related to infrastructure bias, is shown by a case of irregular genetic sampling of Bolivian wild potatoes.^[1] A 2000 report of previous studies' sampling found that 60% of samples had been taken near towns or roads, where 22% would be the average, had the samples been taken at random^[1] (or from equidistant points, or at specifically varying distances from towns, representative of the average terrain density).

References

↑ 1.0 1.1 "Assessing the geographic representativeness of genebank collections: The case of Bolivian wild potatoes". Diva Geographic Information System.

v t e Biases

Biases in judgment and decision-making	Acquiescence bias Anchoring bias Attentional bias Attribution bias Belief bias Choice-supportive bias Cognitive bias Confirmation bias Congruence bias Correspondence bias Halo effect Hindsight bias Memory bias Outcome bias Response bias Self-serving bias Status quo bias Survivorship bias

Statistical biases	Ascertainment bias Bias of an estimator Information bias Lead time bias Omitted-variable bias Sampling bias Selection bias Self-selection bias Social desirability bias Spectrum bias Systematic error Systemic bias

Other	FUTON bias Media bias No abstract available bias Publication bias Reporting bias

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