Podemos demands answers over police stop-and-searches targeting Maghrebi youths in Spain

Podemos asks why stop-and-searches single out Maghrebis

Why does the police always stop and search the same people? Podemos and Frente Amplio have demanded explanations from the Government Delegates of Madrid and Barcelona over what they say is the near-exclusive targeting of stop-and-searches at young people of Maghrebi and sub-Saharan origin. The request, circulated on social media, turns an everyday street occurrence — the police stop, the ID check, the search — into a matter of formal political questioning.

The issue has a dimension that goes beyond the episode itself: if the criterion for a search is ethnic profile rather than concrete suspicion, the practice stops being a security technique and becomes a way of classifying people. Its defenders argue that statistics rule and that probability is not the same as prejudice. The argument has its arithmetical logic and its logical trap, and the two need to be separated.

What exactly is being asked, and of whom

The request for explanations is addressed to the Government Delegates of Madrid and Barcelona, the authorities responsible for police coordination in both provinces. It is not a generic questioning about public safety, but a specific question: on what basis is the person to be searched on the street selected? As the case is being circulated, the claim is that "only" youngsters of those origins are searched — an adverb that carries the whole accusation.

The predictable institutional response is to deny any bias and point to the random nature of the operation. It is the most convenient defence and also the hardest to prove: showing that a search was random requires records that nobody keeps. Those demanding explanations know this, which is why the question is so well constructed.

The probability argument and its flip side

The most repeated defence of selective stop-and-search is the law of probability: if you are looking for cows, you go for what has four legs and horns, not for sparrows. It is an effective image that sums up a widespread intuition: concentrate the effort where the incidence is statistically highest. The problem is that arrest statistics do not measure crime, they measure arrests, and they feed back on themselves: if you search more in one place, you find more in that place, and the resulting data justifies searching there again.

That circle is the heart of the matter and cannot be resolved with rhetoric. Some maintain that profiling is a tool of proven effectiveness; against it weighs the fact that search bias contaminates the data series and turns the prophecy into evidence. The debate on institutional racism gets stuck precisely here, on the border between the data and the prejudice that produces it.

From stop-and-search to the racism debate

The conversation soon shifted to a more uncomfortable question: can safety be demanded without profiling? Part of the political spectrum argues that the only way out is to accept the concept and define itself without qualms, while another warns that this step normalises suspicion towards entire communities. Between the two extremes, the practical ground — protocols, records of ID checks, training — is almost always left untrodden.

The episode also brushes against the boundary of abuse when a search goes beyond what is reasonable, a scenario the accusations mention without citing specific cases. There, the discussion stops being statistical and enters the terrain of fundamental rights, where the burden of proof should not fall on the person who was stopped in the street.

In the end, the question from Podemos and Frente Amplio is easy to answer and impossible to verify: it is always possible to say the search was random. What is hard is proving it with a piece of paper nobody signed.