A thesis you've only defended against your own doubts is undefended. The failure mode is universal: you form a view, and from that moment every video you click agrees with you — the algorithm makes sure of it. The bear case exists, articulated brilliantly by someone somewhere, and you'll meet it for the first time in the drawdown.

The fix is structural, not motivational: build the opposition a permanent seat. A thesis file — the strongest arguments on both sides, collected deliberately, kept current, and interrogated as a set — turns "I believe X" into "I believe X, having heard the best versions of not-X, and here's where they're wrong or where I've sized the risk."

deep_query finds the file's contents without the algorithm's help: ask for the strongest bull case and the strongest bear case on the asset or theme, and it researches across the spoken record — fund managers, operators, short sellers, domain experts — returning both sides with citations. You're sampling the argument space, not your recommendation feed.

library_import_youtube_video pins the keepers: the ten or fifteen pieces that argue best get imported, tagged bull/bear, transcripts and all. deep_context then makes the file argue with you: scope a question across the collection — "which bear arguments does my thesis not answer?" — and get a grounded response citing the exact chunks. The file becomes a standing sparring partner that updates as you add to it.