FE faz fãs apanharem como ‘Cabeças de Caqui’ com tanta demora para punições

Na edição de n° 11 do Paddockast, gravada na última quinta-feira (21), Pedro Henrique Marum comparou gostar da Fórmula E como ser o personagem Conrado Cabeça de Caqui, do antigo desenho Fudêncio, da MTV. O motivo? Quem gosta da categoria apanha muito, com tanta mudança de resultado após as etapas

O Paddockast, podcast do GRANDE PRÊMIO, discutiu em sua edição #11 a demora que existe na Fórmula E para que sejam anunciadas punições. Além de tentar apresentar soluções, o programa comparou, com Pedro Henrique Marum, os fãs da categoria ao personagem Conrado Cabeça de Caqui, do desenhor Fudêncio, da MTV.

Por quê? Bem, os fãs apanham muito com as mudanças de resultado que sempre surgem horas e horas após as corridas da FE. Tanto quanto o personagem. Quer entender mais? Só ouvir o Paddockast abaixo!

O assunto começa aos 7:50


 

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" 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