EVA-0 achieves test-time adaptation with only two forward passes per sample by using scale-invariant loss, anchor-guided optimization, and symmetric perturbation to avoid backpropagation. It outperforms BP-based DeYO and BP-free FOA on ImageNet-C with ViT-Base while running 14x faster than FOA.