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Financial Decoder Podcast Transcripts

Charles Schwab · 42 episodes with transcripts

Cognitive and emotional biases can have a big impact on your financial life. Each episode of Financial Decoder looks closely at one financial decision--and the biases that might cloud your judgment and cost you money.

Spoken has transcripts of 42 Financial Decoder episodes, with the speakers named. The newest listed here is from October 12, 2026.

Every Financial Decoder transcript in one script

42 episodes of Financial Decoder have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1440529681/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

Already-saved files are skipped — safe to re-run after a top-up.

Latest Financial Decoder transcripts

What Should You Do With Employee Stock?

October 12, 2026

Mark Riepe (0:10)

I'm Mark Riepe, I head up the Schwab Center for Financial Research, and this is Financial Decoder, an original podcast from Charles Schwab. It's a show about financial decision-making, and the cognitive and emotional biases that can cloud our judgment.

If you work for a company that offers equity compensation, or you want to know more about it, this is the episode for you. Stick around to learn how to get the most out of your plan, or how to evaluate a potential employer's plan.

Sarah Buchardt (1:52)

Thank you for having me.

Mark Riepe (1:54)

I think you're on a couple years ago. That's, I think, if I remember correctly, maybe talking about 401k. Is that right?

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Any Financial Decoder episode comes back as Markdown with the speakers named, one credit each.

request
curl -H "x-api-key: YOUR_KEY" \
  https://spoken.md/transcripts/1000795909776

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