Diversifying across bets that are 60 percent correlated reduces risk by only about 15 percent, perhaps slightly more.
Resolved true The record shows it happened or was so.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
Judge against standard portfolio mathematics: for equally weighted bets of equal volatility with pairwise correlation ρ=0.6, the ratio of portfolio risk to single-bet risk is sqrt(ρ+(1−ρ)/N). Use the number of bets N given in the context of the statement; if no N is given, use the range from a few bets up to the many-bet limit. Dalio's own chart can also settle it if it applies this same framework. TRUE: the implied risk reduction is about 15%, allowing for 'a little bit more' (roughly 12–23%). MOSTLY TRUE: the reduction is within about 10–27%. MIXED: the correct figure depends heavily on N, and the claim holds only for some plausible N. MOSTLY FALSE: the correct reduction is substantially different (for example 30–40%). FALSE: the math shows a far different reduction (for example over 40% or under 5%).
Set before the research began.
Evidence (2)
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E1 Diversification — Risk & Portfolio Pattern Is Everything · 2 October 2026
“The 1/√N rule only holds for uncorrelated assets; with correlation there is a floor (σ√ρ, here 16.4%) that no number of similar stocks removes.”
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E2 Diversification — Risk & Portfolio Pattern Is Everything · 2 October 2026
“Stocks that are each 30% volatile, with an average correlation of 0.3, held in equal weights. One stock: 30%. Five: 19.9%. Twenty: 17.4%. A hundred: 16.6%. Ten thousand: 16.4%.”
Reasoning
E1 and E2 describe the framework the criteria require. With pairwise correlation ρ, the volatility of an equal-weight portfolio falls toward a floor of σ√ρ that no number of assets removes. The surrounding text describes adding bets from a second up to a thousand, so the relevant range runs from a few bets up to roughly the many-bet limit. With ρ=0.6, the formula sqrt(ρ+(1−ρ)/N) gives a risk reduction of about 14% at N=3, about 18% at N=5, about 20% at N=10, and about 22.5% at the limit (√0.6≈0.775). That range sits within the 12–23% band the criteria set for "about 15 percent, maybe a little bit more", so the claim holds.
Cite this claim
Ray Dalio, “Diversifying across bets that are 60 percent correlated reduces risk by only about 15 percent, perhaps slightly more.” (said 1 February 2018). Verdict: resolved true. Reliability API, claim c_3b5261776a51, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_3b5261776a51
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
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