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Actionable insights — Haymaker Daily: One energy fallacy after another...

The repeatable analysis behind the post: not what was recommended, but how to convert an "invisible" data series into a measurable one by picking the best-instrumented country, how to read a fixed production slate so a shortage in one product is traced into the next, how to falsify a demand-destruction narrative with export volumes, how to price a regional supply gap by interrogating the counterparty who has to fill it, and how to test whether a commodity is actually expensive before accepting the political framing of a windfall — written so each step can be rerun on the next constrained commodity.
2026-AUG-05 · Haymaker (Substack newsletter, paid) · The Haymaker Team / David Hay · ↗ Read · full analysis · article text
How to read this page: each insight is a method — the reasoning chain that took Haymaker from one analyst's inventory chart to "refinery profit margins… essentially tied for the highest of the 21st century" and a named political risk on the beneficiary. The boxed line shows how it played out in this post. (Written newsletter — the "read" link opens the source post, and there are no timestamps.)

1. When a series is "un-instrumented," don't give up — find the best-instrumented sub-market and use it as the proxy

The repeatable method
  1. Start from the admission that the global number does not exist or is unreliable. Do not conclude the variable is unknowable; that is the error the crowd makes.
  2. Ask which single country, exchange or reporting regime publishes the highest-quality version of that series, and whether it is large enough to be representative of the global condition.
  3. Use that sub-market as the read-through, and say out loud why it generalises (shared product slate, shared trade flows, shared demand drivers) — otherwise you have swapped an unknown for an anecdote.
  4. Prefer a named specialist who publishes that series regularly over a one-off aggregate: the value is in someone tracking revisions and reclassifications week to week.
  5. Watch the composite, not one product in isolation, so a mix shift inside the barrel cannot be mistaken for a change in total inventory.
Here: yesterday's Daily said refined-product stocks are drawn down but "the data on these stocks are much less easily obtained." Today: "The U.S. has some of the planet's most accurate inventory data and, as you can see below, those have been significantly drawn down for 'The Big Three'" — the white line a composite of jet fuel, distillate and gasoline, published by John Kemp.
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2. Read a fixed production slate — a shortage in one output is a promise of shortage in the next

The repeatable method
  1. Identify processes where one input is converted into several outputs in near-fixed proportion — a refinery's barrel, a smelter's ore, a mine's polymetallic concentrate, a foundry's wafer starts.
  2. Determine which output is being prioritised and why. Prioritisation always has a victim: the co-product being made less of.
  3. Ask the only question that decides whether the victim matters: is there spare capacity? With slack, the mix shift is absorbed and nothing propagates. Without slack, the shortage migrates.
  4. Once you know it propagates, position ahead of the second shortage — the one the market has not yet priced — rather than the first, which is already in the headlines.
  5. Note that the operator captures the scarcity in this regime: when the conversion asset is the bottleneck, the margin on conversion widens even if the input price is flat.
Here: per Kemp, "refineries have prioritised production of jet fuel and diesel at the expense of gasoline to relieve the worldwide shortage of middle distillates. But the lack of spare capacity has meant gasoline stocks have come under intense pressure." The distillate shortage becomes a gasoline shortage because there is nothing left to run harder.
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3. Falsify a demand narrative with the export tape, not with an opinion

The repeatable method
  1. Write down the market's stated reason for a low price — here, "demand has been destroyed." Attack the reason, not the price.
  2. Find a volume series that the stated reason would have to suppress. Exports are ideal: they are the residual after domestic demand is served, and no one ships product abroad at a record rate into collapsing demand.
  3. Check whether the volume is at a record, a trend high, or merely fine — the strength of the refutation scales with the extremity of the print.
  4. Cross the volume read with a margin read taken earlier (what buyers will pay to convert). Two independent series pointing the same way is a conclusion; one is a datapoint.
  5. State the conclusion as a falsification ("this calls into question the prevalent belief…") rather than as a forecast, so it survives being early.
Here: "American refined exports to the rest of the world have risen to a record rate. This high demand for U.S. refined products calls into question the prevalent belief that there has been significant demand destruction for oil-related fuels." Paired with Jul-30's crack spread at 73% of crude — margins and volumes now agree.
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4. Price a regional supply gap by interrogating the counterparty who has to fill it

The repeatable method
  1. When local production closes, quantify the import dependency that replaces it — as a share of consumption, and the direction that share is heading as more capacity retires.
  2. Do not stop at "imports will cover it." Name the specific exporting region and ask whether it has surplus capacity, or is itself short.
  3. Assume an exporter facing domestic scarcity will restrict shipments; export bans are the standard political response and arrive faster than new capacity.
  4. Identify the policy fix and then price its cost. A fix that solves the physical problem by breaking a commercial reputation is a real option, but not a free one — and its unattractiveness is why the shortage may be allowed to happen.
  5. Convert the whole chain into a monitorable: the import share, the exporter's own balance, and any announced retirement that moves the marginal barrel further offshore.
Here: California lost "Los Angeles and Benecia" last fall, imports "almost 20% of its gasoline consumption… likely to rise" — "(This assumes that offshore suppliers have the ability to deliver.)" — and "Chevron (CVX) is vectoring to close its last two California refineries," while the Asian suppliers "are facing a serious shortage of refining capacity themselves and are highly likely to restrict shipments across the Pacific," raising "the possibility of 1970s-like gas lines" absent a redirect that "would damage America's reputation as a reliable supplier."
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5. Before accepting a "windfall profits" framing, price the commodity in real terms

The repeatable method
  1. When a sector's profits become a political target, separate two claims: are margins unusually high? and is the product unusually expensive? They are frequently opposite.
  2. Deflate the product's price by cumulative CPI over a long window (10–20 years). A nominal price that "has barely risen" is a real price that has fallen sharply.
  3. If the margin is high while the real price is low, the profit is coming from a bottleneck in processing or logistics, not from gouging the end user — which tells you where in the value chain to own the exposure.
  4. Treat the political attack itself as a recurring, bipartisan feature of the sector — a persistent risk premium to underwrite, not a signal about the business.
  5. Keep the two conclusions separate in the position: own the bottleneck for the margin, size for the policy risk.
Here: the complex "running flat out" put "refinery profit margins… essentially tied for the highest of the 21st century," which is "a key reason why profits at companies like Chevron have exploded, incurring the wrath of President Trump" — yet "no matter which party is in the White House, the oil industry continues to be a recurring scapegoat, despite that oil prices have barely risen over the last 20 years (and, adjusted for inflation, are down by roughly 50%)."
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Methods distilled from the paid Haymaker newsletter (text in transcript.txt). For personal study. Not investment advice. © Haymaker / David Hay for source material.