Video transcript
"É SÓ NÃO ROUBAR!" Tarcísio Gomes de Freitas #shorts
6 statements · 1 politicians · September 25, 2022 · 1 min
Statements by Tarcisio. 6 transcribed statements, with topic and stance on the ones the analysis classified. Topics: Public Management, State-owned companies, Combating Impunity.
Speakers
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Transcript
6 statementsFull transcript of the video. Statements the analysis classified carry topic and stance.
- Neutral
About: appoint to public office based on competence, not party criteria
When I arrived at the ministry, I received recommendations...
- For
About: appoint to public office based on competence, not party criteria
For the positions, people would show up — my protégé here and so on, important people — then they'd change the résumé; it was all sorts of things.
- For
About: appoint to public office based on competence, not party criteria
The guy wanted to be superintendent of DENIT, but he had a nursing degree. Nothing against nurses, but that's not for running an engineering unit, it won't work. So, we put technicians in, we made a mix, we brought a lot of people from the private sector, we managed to bring market people into important positions.
- For
About: reorganize and close loss-making state-owned companies
It's interesting people's selflessness — it's the guy who already made money in the market and decided to offer himself to public service. I think that's really great and it worked very well. I had eight units showing negative results; one was liquidated.
- For
About: privatize Petrobras
One was privatized, but by the time it was privatized we had already flipped the switch and the others are now showing positive results. So it's interesting — it was a brutal turnaround. 500 million in losses, half a billion in losses in 2018; this year it should show half a billion in profit.
- For
About: implement measures to prevent corruption in public administration
1.2 billion in cash, a lot of investment happening. There's a famous phrase which is: "Just don't steal, for fuck's sake."
AI classification from the transcript of a public video. See the Methodology