Desconfianza genera nuevo indicador de pobreza que cambió el Gobierno el último día del año 2024

The Peruvian government has centralized the measurement of multidimensional poverty into a single indicator, replacing the methodology designed by the National Institute of Statistics and Informatics (INEI) with guidelines imposed by the Ministry of Social Development. Experts warn that this decision, perceived as technical yet rushed, compromises INEI’s autonomy and opens the door to potential political manipulation of the data. The concern lies in the fact that by merging twenty-nine diverse variables, the ability to precisely analyze specific gaps in health and education is lost, thereby hindering the design of effective public policies. Reducing multidimensionality to a single figure is criticized for obscuring the true complexity of social vulnerability, where poverty entails unguaranteed rights. Although the administration defends the change as an improvement for identifying the most excluded groups who simultaneously lack basic services, statistical authorities maintain that transparency is preserved and that monetary poverty continues to be calculated as a complementary measure. However, the perception of executive interference in statistical functions creates a dangerous precedent for the credibility of national statistics. This case is crucial for the open data movement because it demonstrates how opacity in data collection and processing methodologies can undermine accountability and access to public information. The centralization of criteria by the executive branch, rather than adhering to independent technical standards, calls into question the impartiality of official data. Genuine transparency requires auditable and autonomous methodologies that protect citizens from information distortion, ensuring that evidence-based decisions are objective and free from political bias.

Source: elbuho.pe
Published on 2025-01-04

Desactiva esta opción automática de WhatsApp para proteger tus datos bancarios »

Open Data

Related news