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In June 2013, Brazil faced the largest and most significant mass protests ina generation. These were exacerbated by the population's disenchantment towardsits highly fragmented party system, which is composed by a very large number ofpolitical parties. Under these circumstances, presidents are constrained byinformal coalition governments, bringing very harmful consequences to thecountry. In this work I propose ARRANGE, a dAta dRiven method foR Assessing andreduciNG party fragmEntation in a country. ARRANGE uses as input the roll calldata for congress votes on bills and amendments as a proxy for politicalpreferences and ideology. With that, ARRANGE finds the minimum number ofparties required to house all congressmen without decreasing party discipline.When applied to Brazil's historical roll call data, ARRANGE was able togenerate 23 distinct configurations that, compared with the status quo, have(i) a significant smaller number of parties, (ii) a higher discipline ofpartisans towards their parties and (iii) a more even distribution of partisansinto parties. ARRANGE is fast and parsimonious, relying on a single, intuitiveparameter.

How Many Political Parties Should Brazil Have? A Data-driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems