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View Monthly Spending Limits #504

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sergiomario opened this issue Nov 12, 2019 · 6 comments
Open

View Monthly Spending Limits #504

sergiomario opened this issue Nov 12, 2019 · 6 comments
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@sergiomario
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What is the problem?
According to the Quota for the Exercise of Parliamentary Activity, parliamentarians have some monthly limits, with defined spending ceilings.

For example:
IX - combustíveis e lubrificantes, até o limite inacumulável de R$ 6.000,00 (seis mil reais) mensais;
Only six thousand reais can be spent on fuels and lubricants per month of parliamentary activity.

In addition there are still total spending limits set by states of the federation:

UF Valor da cota (R$)
AC 44.632,46
AL 40.944,10
AM 43.570,12
...

Proposal
An endpoint in jarbas that shows the sub-quota limits per month/year of each deputy.
https://drive.google.com/file/d/1zv2zXhIumTpR_TnuAECgcsLQxFSZpbdM/view?usp=sharing

The idea is to create a new tweet for Rosie like:

"O(a) deputado(a)/senador(a) fulana(o) de tal gastou mais que o limite mensal na subcota XXX no mês/ano MM/YYYY. Você pode no ajduar a verifica? (link pro Jarbas)"
@cuducos
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cuducos commented Nov 12, 2019

This might be more difficult than it seams

The problem number one is that congresspeople can transfer part of their quota to leaderships in the house (Ato de mesa 43/2009, Art. 14, § 1º). As far as we interrogated the Chamber a few months/years ago, this was not a piece of information made accessible via active transparency. Even worse: congresspeople can change the transfer pretty easily, so it's difficult to know what the pragmatic limits are.

The problem number two is that the quota provides "extras" for some leadership and we do not keep track of these leaderships in our database (Ato de Mesa 43/2009, Art 1º, § 1º). This might be easy to work around though.

Thus I'm afraid a visualization such as the proposed might lead to low accuracy and enhance the chance of:

  • disinformation
  • higher risks of disseminating fake news
  • higher risk of being targeted and/or prosecuted

@endersonmenezes
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endersonmenezes commented Nov 12, 2019

I am now learning about necessary procedures, but we cannot question them via https://github.com/CamaraDosDeputados/dados-abertos/issues, to know if there is any provision to tech this process?

@apast
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apast commented Nov 19, 2019

It is possible to show additional information related current expense.

Considering the already collected expenses values for the whole Party.

It is possible to show some additional rates and values related to current expense:

  • % correspondence of the expense from total Party correspondence;
  • rate: Total expenses of one congressperson / Total expenses of Party;
  • rate: Current Expense / Average expense of Party for current category;
  • total expense of current congressperson
  • current expense / Total expense of current congressperson
  • accumulated of daily expenses of current month, year.
  • Is the total expenses under or above the Monthly quota? green/blue/red bar

Some considerations, based on important points cited by:

  • Every suggested indicator or rate should be evaluated and discussed before be introduced, aiming to not be a mechanism to induce disinformation;
  • The most critical values are Rates, because it will be a derived value, maybe inducing a biased meaning for it;
  • Not certain about how each point could or not be used to disseminate fake information/news;
  • higher risk of being targeted and/or prosecuted: Maybe rates could induce this risk and could be avoided.

@cuducos
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cuducos commented Nov 19, 2019

I think these explorations might be really interesting. I do believe it!

However I don't think implementing them directly in the UI is the best way to move forward. In Linus style, I'd say talk is cheap, show me the data — we could draft some analysis using the real datasets in a notebook, for example, to have a better idea of what these indicators might actually tell us… does that make any sense?

@apast
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apast commented Nov 19, 2019 via email

@cuducos
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cuducos commented Nov 19, 2019

How can I analyze this on my local environment? There is some how to to
start?
Or, there is some public notebook for this?

Have you checked the repo I linked in the previous message? I think it, together with the toolbox are the best way to get started ; )

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