July 15, 2024· 52 min

Stephen Roach Warns of Disaster From Our 'Sinophobic' China Policy

Stephen Roach

Orality

Model

68%

Oral-dominant (speeches, podcasts, storytelling)

Speaker Breakdown

HostJoe Weisenthal(1,618 words)

M:28%

HostTracy Alloway(1,390 words)

M:28%

GuestStephen Roach(4,102 words)

M:27%

Oral Indicators

Agonistic40%

literally, completely, obviously

Engagement67%

you, our, your

Memory Aids100%

listen, now, like

Repetition100%

know (71x), china (57x), like (43x)

Parallelism84%

And I'm Tracy Alloway...., But I have to say, like, I don..., And I do remember some pop cul...

Sound Patterns36%

29 question(s), alliteration: "markets move", alliteration: "barclays brief"

Formulaic Phrases3%

i mean

Literate Indicators

Hedging11%

probably, quite, could

Passive Voice10%

was seven, were produced, was viewed

Abstract Nouns24%

investment, recommendation, attention

Subordination9%

though, because, while

Sentence Length52%

Avg: 17.9 words/sentence

Word Complexity50%

investment, analyze, anticipate

Academic Markers0%

Impersonal Style33%

534 personal pronouns found

Descriptive Style86%

literally, completely, obviously

Description

One of the rare areas of bipartisan consensus in the US right now is taking a tough line on China. We saw President Trump put tariffs on Chinese goods, and the Biden administration has only added to them. A second Trump administration may add to them even further. Meanwhile, we're increasingly placing export restrictions on various technologies, such as semiconductors. Stephen Roach, the former chairman of Morgan Stanley Asia and now a fellow at Yale Law School, foresees disaster from this. He sees an explosion of Sinophobia, with policymakers misreading China and ushering us into a new Cold War, where the risk of some kind of accidental conflict will inevitably rise. In this episode of the podcast, we talk about the current tensions, how they compare to the US-Japan trade tensions in the 1980s, and how things could go bad. See omnystudio.com/listener for privacy information.

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