Crypto Clarified

A handful of genuinely useful data points surface (3 of 4 F-ratings de-pegged, no A+ ever awarded, market cap explicitly excluded from the framework), but large stretches are padded with generic stablecoin boosterism and vague forward-looking optimism that adds no usable knowledge.

“three out of the four Fs have de packed some point after our rating”

“a 10 million euro dollar market cap stablecoin can be much safer than a 10 billion dollar market cap stablecoin”

The insight that governance opacity - not peg mechanism or market cap - is the dominant underappreciated risk is a useful framing, but most other ideas (remittances, AI agents, RWA tokenization, MiCA gaps) are standard 2024-2025 stablecoin talking points recycled without a genuinely contrarian angle.

“market cap also is not a factor anywhere in the Smith trading framework”

“the kind of opaqueness of some of the governance systems and the management teams behind stablecoins is really what people don't look into”

Benjamin Levitt is a genuine practitioner who has built and operationalised a stablecoin rating framework with real predictive track record (de-peg calls), making him more credible than a typical thought-leader, but Blue Chip remains a small niche firm and the conversation never surfaces the depth of expertise that a senior operator at scale would command.

“three out of the four Fs have de packed some point after our rating”

“we collaborated with an issuer to make that possible”

A few concrete data points (4 F-ratings, ~70% Ethereum share, Kivalis backed by 12 EU banks, Terra Luna reaching ~$60B before collapse) lift the episode above pure abstraction, but the actual rating methodology, criteria weightings, and issuer names are withheld or never elicited, leaving key claims unverified.

“a stable coin combined with its governance token reached a market cap of around 60 billion USD and then crashed within a few weeks”

“almost 70% of stablecoin usage on there”

The hosts ask topically relevant questions and cover a reasonable breadth of angles, but there is no meaningful pushback - no probing of how the rating methodology actually works, no challenge to the predictive causality implied by the de-peg calls, and the opening poker anecdote consumes several minutes with zero informational value.

“That's a very good point”

“So to kind of build on that point”