Introduction to commentary by Laurent Mottron and responses.

G (2021) wrote a short editorial. It opens a debate among autism researchers. The paper does not test children or run trials. It frames the conversation that follows in the same journal issue.

There are no new data. The editorial simply flags big questions. Which research roads should autism science take next? The piece invites experts to answer.

Kasari (2002) said the same thing twenty years earlier. That review warned that most early autism studies were weak. It begged for tighter designs and clear part-by-part tests. G (2021) echoes the plea, showing the field still wrestles with basic rigor.

Tager-Flusberg (2004) pushed a second fix: stop matching autistic kids to typical peers. Map language patterns inside autism instead. G (2021) keeps the spotlight on method reform, widening it beyond language to all autism science.

Tsiplova et al. (2023) add a fresh layer. They show cost data are missing too. Together the three papers form a staircase. First, clean up design. Next, pick the right comparisons. Then, prove the dollars make sense.

You set goals with data. If the research under you is shaky, your treatment plan wobbles. Use these editorials as a checklist. Ask: Was the intervention pulled apart? Were kids compared within autism, not against norms? Is there cost info? If any box is blank, treat the study as a rough draft, not a manual.