Whether the Fed’s quarterly dot-plot projections actually predict where rates go — and how to read a fresh surprise when the dots move.

Short answer: no — the dots follow the data, not the reverse

The dots are a poor predictor of the Fed’s own future actions, and the direction of the error depends on the regime. Each dot is a participant’s projection conditional on their forecast — recent data extrapolated forward — so the dots lag turning points and get overruled by the next data.

Comparing each December dot-plot median for the next year-end against the rate the Fed actually delivered (2014–2024) bears this out:

  • In the 2015–2019 normalization, the Fed ran its projections ~0.5 percentage points too hawkish per year on average — it kept penciling more hikes than it delivered.
  • December 2018 is the cleanest case of a hawkish dot into a slowing economy: it penciled two more 2019 hikes, then the Fed cut three times in 2019 — a 1.25-point miss that reversed direction entirely. Its own January 2019 minutes conceded the projections “do not accurately convey the Committee’s policy outlook.”
  • The big misses go both ways, and both came from exogenous shocks: COVID (Dec-2019 dots over-projected 2020 by 1.5pp) and the inflation surge (Dec-2021 dots under-projected 2022 by 3.5pp — the largest forecast error since the 1970s, where dovish dots met accelerating data and the Fed over-delivered).

The Fed pencils hikes it doesn't deliver, until a shock overrules the dotsThe Fed pencils hikes it doesn't deliver, until a shock overrules the dots

Penciled vs. delivered, every year since 2014

December SEP median for the next year-end (midpoint of the target range) vs. the realized year-end rate. Gap = penciled − delivered; a positive gap means the Fed projected a higher rate than it delivered (over-promised hikes).

December SEPPenciled (next yr-end)DeliveredGapWhat happened
Dec 20141.13% (for ‘15)0.38%+0.75penciled ~4 hikes for 2015; the liftoff slipped to December
Dec 20151.38% (for ‘16)0.63%+0.75penciled ~4 hikes; delivered one
Dec 20161.38% (for ‘17)1.38%0.00on target (three hikes)
Dec 20172.13% (for ‘18)2.38%−0.25did slightly more (four hikes)
Dec 20182.88% (for ‘19)1.63%+1.25penciled two hikes; cut three times
Dec 20191.63% (for ‘20)0.13%+1.50COVID → emergency cut to zero (exogenous)
Dec 20200.13% (for ‘21)0.13%0.00zero-bound hold
Dec 20210.88% (for ‘22)4.38%−3.50inflation shock; hiked far more, far faster
Dec 20225.13% (for ‘23)5.38%−0.25~on target
Dec 20234.63% (for ‘24)4.38%+0.25cut slightly more than penciled
Dec 20243.88% (for ‘25)3.63%+0.25cut slightly more than penciled

Sourced to the Fed’s own projection materials (median funds-rate row of each December SEP table) and FRED DFEDTARU for the delivered rate; the underlying series and pull scripts are archived in the GeoMean research files.

Why: a dot is an extrapolation, not a commitment

Each dot is conditional on a forecast, and FOMC forecasts are slow to incorporate new information (SF Fed, 2024), so the dots lag the turn. Whether the Fed follows through comes down to one thing: does the data that drove the surprise persist? When it does (2022 inflation), the Fed delivers and then some. When it doesn’t (2019), the projected hikes never come.

Reading a fresh surprise: match it to the regime, then watch the driver

To judge whether a new dot-plot surprise will hold, sort it into one of two configurations:

  • Surprise into accelerating data (2021 → 2022): dovish dots met still-rising inflation. The Fed over-delivered. A hawkish dot into still-hot data resolves the same way — the projection understates what’s coming.
  • Surprise into softening data (Dec 2018 → 2019): a hawkish dot landed as the economy slowed. The penciled hikes never came, and the Fed reversed. The base rate for this setup is under-delivery, with outright-reversal risk if the data keeps softening.

The deciding series is the one that drove the surprise — for an inflation-led surprise, core PCE. If the next prints confirm the dots, the year rhymes with 2022; if they undercut them, it rhymes with 2019. Bond investors often signal which read they favor before the data settles: a 10-year yield that holds through hawkish dots means they are pricing in under-delivery.

Caveat: the median hides the distribution

The dot is a median; the spread around it matters. A bimodal hawkish surprise is weaker guidance than a consensus one. One data note: the 2014 median predates the Fed printing an explicit median row, so it is reconstructed from the dot distribution and the SEP narrative; all other years read directly from the published median.

Sources