Today social media platforms play a crucial role in the moderation of political information and speech. Yet, despite growing concerns, we still know very little about how often nor the conditions under which platforms moderate political content. For more than one year leading to the 2024 US election (July 2023 - November 2024), I monitor the moderation of content from more than 11,000 salient YouTube channels posting about US politics (more than 6 million videos in total). I use state of the art computational methods, such as Large Visual Language Models, to address the following research questions: (1) How often does Youtube remove channels and content of political relevance? (2) Does Youtube remove political (v. non-political) content at different rates? (3) For what reasons are channels and videos of political relevance being removed? (4) Are removals equally frequent across topics? And (5) are conservative (v. liberal) channels and videos removed at higher rates? The analysis reveals many key insights regarding the role of social media platforms in the moderation of political content during a relevant electoral period.