The autonomy of the INEI is key for accurate statistics and effective policies.

In a context where the accuracy of statistics is crucial for formulating effective policies, the recent statement by experts Javier Escobal and Javier Herrera regarding the technical autonomy of the National Institute of Statistics and Informatics (INEI) takes on significant relevance. Their pronouncement in response to the proposal from the Ministry of Development and Social Inclusion, which seeks to take control over the measurement of poverty, invites us to reflect on the fundamental role that statistics play in our society. The comparison of this scenario with the concept of "pantry cat" is particularly pertinent, as it suggests that by assuming the responsibility of measuring the compliance of programs aimed at eradicating poverty, there is also a risk of compromising the integrity and impartiality of the data. Thus, the governmental proposal could lead to a situation where the measurement and execution of policies dangerously intertwine, making it difficult to objectively evaluate the progress made. To better understand this issue, it is essential to review the evolution of statistics in the country. The measurement of economic and social aspects has historically been complicated by a lack of resources and inefficiencies in data collection. In this sense, the testimony from six decades ago regarding the creation of economic statistics in Peru illustrates the journey the country has faced in establishing a reliable and robust information system. When the authorities of the Central Reserve Bank (BCR) realized the need to reevaluate economic growth statistics, they sought the advice of the International Monetary Fund (IMF). This type of international collaboration is vital for the formation of statistics that are not only accurate but also accepted and recognized internationally. The experience gained in that process highlights the importance of having trained professionals and rigorous methods that ensure data quality. A revealing episode in this quest for precision occurred during a visit to Montevideo, where an unconventional methodology for measuring industrial growth was unveiled. The response from Uruguayans – observing the construction of new factories from a building – underscores the extremes to which countries with limitations in their information sources may go. In both cases, in Peru and Uruguay, the lack of reliable data can lead to erroneous decisions and ineffective policies. Statistics are not just numbers; they are the foundation upon which public policies are built. Without accurate data, it is impossible to know whether programs aimed at alleviating poverty are working or if, on the contrary, resources are being wasted. The reality is that the most vulnerable populations, those in critical situations of poverty and isolation, are the ones who suffer the most from the lack of precise and up-to-date information. Furthermore, it is necessary to mention that independent evaluation of public and private efforts is crucial to ensure accountability. Without an evaluation framework based on solid data, the fight against poverty and the improvement of social living conditions become uncertain exercises, where the risk of falling into the fallacy of statistics is high. Therefore, it is imperative that we maintain the technical autonomy of the INEI and that its role in producing impartial statistics is respected. The independence of this agency is not only vital for the credibility of the data but also for the development of policies that adequately respond to the needs of the population. Without a serious commitment to the quality of statistics, we run the risk of being guided by erroneous perceptions and poorly founded decisions. In conclusion, the debate over the autonomy of the INEI and the quality of statistics in Peru should not be taken lightly. It is a matter that touches the very heart of the country’s social and economic policy. The quality of statistical estimates is undoubtedly a pressing issue that requires urgent attention, and only with a rigorous and respectful approach to the measurement and analysis of data can we aspire to a more equitable and prosperous future for all Peruvians.