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Why Presidential Polls Keep Getting It Wrong - Jerry Johnson

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Manage episode 276513864 series 2818835
Conteúdo fornecido por Tim Yeadon and Clyde Golden. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tim Yeadon and Clyde Golden ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Jerry Johnson is the owner and principal consultant at Cascade Strategies, a market consulting and strategic planning firm based in Bellevue.

Tim and Jerry talk about how Cascade Strategies applied advanced models, AI models, and linear models to the data they received leading up to the 2016 election. Jerry also spoke about how by using latent effects modeling they were able to gage long-term voter sentiment more accurately than most polls, and were actually able to predict Trump’s win of the 2016 election, a result which they publicized in October of 2016. Beyond voter sentiment, Tim and Jerry covered biometric analysis as a research tool, the specifics of latent effects modeling (aka. how to get people to remember you fondly), AI and machine learning, how creatives can use AI to their advantage instead of being made redundant by it, and how to survive the current economic downturn.

Click Here for this episode transcripts

Clyde Golden is a creative agency in Seattle specializing in research, strategy, and content creation (earnestly delivered in that order) via Customer Journey programs.

  continue reading

22 episódios

Artwork
iconCompartilhar
 

Série arquivada ("Feed inativo " status)

When? This feed was archived on October 03, 2024 13:09 (21d ago). Last successful fetch was on February 26, 2024 20:27 (8M ago)

Why? Feed inativo status. Nossos servidores foram incapazes de recuperar um feed de podcast válido por um período razoável.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 276513864 series 2818835
Conteúdo fornecido por Tim Yeadon and Clyde Golden. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tim Yeadon and Clyde Golden ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Jerry Johnson is the owner and principal consultant at Cascade Strategies, a market consulting and strategic planning firm based in Bellevue.

Tim and Jerry talk about how Cascade Strategies applied advanced models, AI models, and linear models to the data they received leading up to the 2016 election. Jerry also spoke about how by using latent effects modeling they were able to gage long-term voter sentiment more accurately than most polls, and were actually able to predict Trump’s win of the 2016 election, a result which they publicized in October of 2016. Beyond voter sentiment, Tim and Jerry covered biometric analysis as a research tool, the specifics of latent effects modeling (aka. how to get people to remember you fondly), AI and machine learning, how creatives can use AI to their advantage instead of being made redundant by it, and how to survive the current economic downturn.

Click Here for this episode transcripts

Clyde Golden is a creative agency in Seattle specializing in research, strategy, and content creation (earnestly delivered in that order) via Customer Journey programs.

  continue reading

22 episódios

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