The machinery of education produces two kinds of signals: the ones it intends to send, and the ones it cannot help but reveal. Today’s news from four continents suggests that the gap between these signals is widening, and the cost—measured in euros, in test scores, in failed exams, in unrecognized careers—is no longer a footnote.
In Spain, the revelation that nearly one in ten university freshmen changes course after their first year, costing public coffers 26 million euros annually 1, is not merely a statistic about indecision. It is a verdict on the system’s failure to align its own offerings with the expectations it cultivates. The 9.6% rate in public universities versus 7.1% in private ones hints at a structural mismatch: the public system, for all its access, may be enrolling students into pathways that neither the market nor the students’ own aptitudes can sustain. This is not a story about lazy teenagers; it is a story about an admissions and orientation apparatus that treats the first year as a trial run, with the taxpayer footing the bill for the debugging.
The same misalignment, in a different key, echoes in Asturias, where teacher recruitment exams have produced failure rates of up to 90% 4. The ‘no 25%’ notation—a bureaucratic shorthand for a candidate who passed the whole but failed a part—has become a symbol of a system that sets thresholds without ensuring the pipeline that feeds them. When nine out of ten aspiring teachers cannot clear a hurdle, the problem is not the candidates; it is the calibration of the hurdle itself. The political firestorm that followed is predictable, but the deeper issue is that the system is signaling scarcity where there may be abundance, and rigidity where there should be feedback.
Across the Atlantic, a Brown University professor’s experiment offers a laboratory-perfect illustration of what happens when the signal is deliberately distorted. When students were allowed to take a midterm at home, the average score was 96%; when the same material was tested in person, the average collapsed to 48% 3. The professor’s conclusion—that AI-driven cheating was rampant—is less interesting than what the experiment reveals about the system’s assumptions. It assumed that take-home exams measure the same thing as in-person ones. They do not. The 48-point drop is the price of confusing convenience with validity.