Researchers discovered that previous improvements in decoding words from brain recordings relied on timing shortcuts unrelated to actual brain activity, achieving similar results with synthetic data. By processing brain windows independently rather than jointly, they eliminated this shortcut and developed SimpleB2T, which achieves 36.6% word error rate on perceived speech tasks and enables more effective use of existing decoding strategies.