Jair Bolsonaro completes, on September 26, 2021, his 1.000 days of a management full of controversies, tensions, confusion. More shacks than bridges, to use terms between lowliness and diplomacy. Complex days. Of almost 590.000 deaths resulting from a poorly managed, denied and poorly assisted pandemic. Days of hatred, of coercion to the press, of attacks and threats to democracy, of cursing and disrespect, aggressions by the Executive towards the Judiciary. It is a journalistic dossier that presents analyzes of information generated by the government.
It is a journalistic dossier that presents this of information generated by the government. A science denier, the president despised the strength of the coronavirus pandemic. He is against the use of masks, advocates early treatment and proven ineffective medications, was critical of the vaccine and polemicized with state managers over the isolation measures. He is appointed as the main responsible for the account of almost 600 thousand deaths in the country since 2020. The Covid CPI, in the Senate, has already anticipated that he will be denounced even for crimes against humanity.
The data used for this special are from public databases of the Federal Government, NGOs, research institutes, among other bodies or institutions. All databases used in this report and in the other chapters to be published can be accessed in the Data.doc profile on GitHub. This is a way of guaranteeing the transparency, reproducibility and credibility of the methods used.
What was the hardest part of this project?
The hardest part of this project was accessing data from the federal government, as Brazil is experiencing a data blackout, the government is against transparency.
What can others learn from this project?
Journalists can be inspired and learn to report in collaboration, which has a greater power of impact and reach, with possibilities to increase coverage of the subjects of a given investigation. Using tools as a programming language is an important ally of journalists to analyze large databases as we did in this project.