Just go back and do it . <| sep |> this is my favorite one so far ! !<| sep |> Your good . Your being paranoid <| sep |> Burnt sienna Chakrams plus adds for slipstream ? <| sep |> I ' m not going to stop you . Instead I wil happily ask that you do 😆 <| sep |> The decentralized nature of voting makes it impossible to rig an election . UH WELL ACTUALLY I GUESS IT IS POSSIBLE <| sep |> There are plenty of cases where someone has escaped a crash by immediately speeding up though . Yeah it ' s unlikely to happen at speeds high enough to be speed limited , but it ' s possible . <| sep |> What is a GoError as opposed to a GoReward ? Response was too soon ? Too late ? Both ? How valid is this categorization ? You may need to be more granular about your previous trial column in the data . It will possibly matter whether there was a correct response on the previous trial . I . e . you really have 5 x 5 25 types of trial . Per condition , so altogether 75 per mouse ! And only ~ 150 trials in total , so some trial typescombos will be too uncommon to get good measurements from . Just looking at counts in each category may be informative for starters . And I would first off be more interested in reaction times that in whatever proportions you are looking at . But , what are you trying to study with this experiment overall ? There are a lot of angles here and you are probably coming in to this with specific questions about some of these numbers but not others which affects whether RTs or something else would be more useful to you and how you ' ll want to lump trials together . I don ' t have a clear picture of the scientific question so far .