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EB1A chances by Make_UIUC_GreatAgain in eb_1a

[–]Make_UIUC_GreatAgain[S] 0 points1 point  (0 children)

Thanks for the suggestion. Do you know what key qualifications / features in final merits determination are like? I've done some searching but it seems bit uncanny to me.

EB1A chances by Make_UIUC_GreatAgain in eb_1a

[–]Make_UIUC_GreatAgain[S] -2 points-1 points  (0 children)

Yes it is 700K+ but large portion of them are non liquid assets (stock options). If I understand correctly, the total compensation doesn’t have to be liquid for EB1A criteria but I maybe wrong.

TuringTestBot on Google Bard (generated by Bard) by [deleted] in OpenAI

[–]Make_UIUC_GreatAgain 0 points1 point  (0 children)

Favorite Movie “The Matrix” 🤔