Full record

25% rightmarkets

US real estate will fall roughly 20-25% (peak-to-trough) during 2023, absent a dramatic Fed easing.

A scored prediction by Tom Nash, made on .

VideoQuote from the original sourcemarketseconomy

Scored prediction

25% rightmarkets

You're probably more likely looking at a drawdown of anywhere from 20 to 25, like we've seen the vulgar days, than the proper full-blown market crash.

US real estate will fall roughly 20-25% (peak-to-trough) during 2023, absent a dramatic Fed easing.

Made on
2022-12-28
Outcome
25% right
Importance
4 / 5
Effect on score
+1.58

What counted as right

Status
resolved
Settled on
2023-12-31

A US home-price index declines ~20-25% peak-to-trough over 2023 (Volcker-1981-style drawdown, short of a full crash).

Criterion required a ~20-25% peak-to-trough US home-price decline over 2023. Actual worst 2023 drawdown (from the June-2022 peak) was only ~5.1%, reached in Jan 2023, after which prices climbed to new highs. Prediction's magnitude clearly not met. Deadline 2023-12-31 passed; full-year Case-Shiller data confirmed.

Sources

  • The Real Estate Crash 2023

    YouTube ·

    Source

Evidence of what happened

  • The S&P CoreLogic Case-Shiller U.S. National Home Price Index peaked in June 2022 and bottomed in January 2023 only ~5.1% below that peak — nowhere near a 20-25% drawdown. This ~5% peak-to-trough decline is the largest of the cycle.

    Evidence

  • By June 2023 the National Index had recovered to within 0.02% of its year-ago level (a fresh high), having risen 4.7% over the first half of 2023 — i.e. prices rose through 2023 rather than falling 20-25%.

    Evidence

Corrections

No public corrections.

Effect on the score

+1.58
How sure they sounded
80%
Outcome
25% right
Importance
4 / 5

This page shows the scored prediction as published; the site doesn't recompute or adjust the score.

Where this came from

US real estate will fall roughly 20-25% (peak-to-trough) du…
Methodology version
v1.0.0
Last computed
August 2, 2026
Made on
2022-12-28

How this profile was built

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