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In this study, we assess the capability and potential of a crowd of virtual workers-defined as vetted people in popular crowdsourcing platforms-to help with the task of diagnosing autism. We evaluate workers when crowdsourcing the duty of supplying categorical ordinal behavioral score to unstructured general public YouTube video clips of kiddies with autism and neurotypical settings. To evaluate appearing habits which can be consistent across independent crowds, we target worke