In my recent article, John A. Townsend, Loper Bright Flip Flops on Chevron Deference: A Tax Lawyer's Perspective, 79 Tax Law. 323 (2026), on SSRN here, I critiqued the Court’s opinion in Loper Bright Enterprises v. Raimondo, 603 U.S. 369 (2024) (C.J. Roberts), here [Preliminary Print]. One of the points I made was that the Court’s claim that “statutes, no matter how impenetrable, do— in fact, must—have a single, best meaning.” (603 U.S., at 400.) The Court also claimed that courts could and must discern that single best meaning without a default rule to decide the case—such as Chevron and, presumably, some substantive canons that require ambiguity. In Loper Bright’s sweeping claims, no room seemed to be left for statutory ambiguity. However, statutory ambiguity was a common phenomenon before Loper Bright; Loper Bright cannot by fiat eliminate statutory ambiguity.
I decided to use ChatGPT Plus to further explore the phenomenon of statutory ambiguity. That AI tool gave surprisingly cogent answers and step by step reasoning that highlight the lapse in logic of Loper Bright. I wish I had the responses in preparing the article cited above. I offer below the last two prompts and response (after refining earlier prompts and responses). I have left the bold-face and italics as ChatGPT had them; also, ChatGPT sometimes refers to Loper Bright as Loper and does not italicize Loper or Chevron. I have not changed that. Remember these are the final prompts and responses after earlier prompts drilled down to these final two prompt. Those interested in seeing the entire discussion with ChatGPT Plus may do so here.
I am impressed with how ChatGPT responds in an analytically meaningful way to step through the issues and reach its conclusions. To readers interested in this stuff, ENJOY!
Two points about the Responses:
- The first response below refers to my article above without citing the article or otherwise attributing it to me. See par. 4 below. I do not know if ChatGPT Plus recognized that the article that it cited was written by the person with whom it was "chatting." I infer that it did not recognize me as the author of the article.
- The first response (par. 5) refers to the Flight Options case which it discussed in earlier responses and which I discuss in Interesting Concurring Opinion on Canons (or Maxims) of Statutory Interpretation (Federal Tax Procedure Blog 5/29/26; 8/21/26), here.
JAT Prompt #1:
In the foregoing discussion, you used 50-50 as the state of interpretive equipoise. Can interpretive equipoise be encountered in a range--say of 45-50 or even 40-60. (These numbers are in percentages.)
ChatGPT Response to Prompt # 1:
Yes—but I would refine the terminology. Interpretive equipoise need not mean a mathematically exact 50–50 tie. It can sensibly describe a zone of interpretive uncertainty within which a court cannot determine, with sufficient confidence, that one interpretation is genuinely “better” than the other. There is, however, no judicially established numerical range such as 45–55 or 40–60.
That distinction becomes important under Loper Bright.
1. Why literal 50–50 is too artificial
Our earlier 50–50 formulation was useful because it made the
problem visible:
Agency interpretation: 50%
Opposing interpretation: 50%
Obviously a judge does not actually assign those numbers.
And it would be unrealistic to suppose that statutory interpretation permits
distinctions as fine as:
A = 50.1%
B = 49.9%
and then requires the court to announce A as the “single,
best meaning.”
Interpretation is simply not capable of that degree of
measurement. Text, context, structure, linguistic canons, purpose, precedent,
and Skidmore considerations do not produce a numerical probability.
Indeed, the Supreme Court's own discussions of ambiguity
acknowledge this problem. Justice Kavanaugh has noted that “grievous ambiguity”
leaves unresolved the critical question of how much ambiguity counts as
enough ambiguity. His Shular concurrence says lenity applies after
the traditional tools have been exhausted and the court can do no more than
“guess” at statutory meaning.
So I think 50–50 should be understood as the center point
of equipoise, not necessarily its entire domain.
2. A 45–55 range seems conceptually quite plausible
Suppose a judge, if forced to quantify matters, said:
Reading A seems 55% plausible;
Reading B seems 45% plausible.
There are two possible ways to understand that statement.
One is:
“I have actually determined that A is more persuasive than
B.”
If that is genuinely what the judge means, Loper Bright
would seem to say: A is the best reading. Apply A. A modest substantive
canon should not displace it merely because the margin is small.
But there is another, more realistic meaning:
“My best rough impression is 55–45, but the interpretive
materials are not sufficiently discriminating for me confidently to say that A
is legally superior to B.”
That is quite different. In that situation, the 55–45
estimate is really an expression of uncertainty, not a finding that A
has been established as the best reading.
I would regard that as interpretive equipoise.
3. The same could be true even at 60–40
A 60–40 split presents a harder case, but I do not think it
can categorically be excluded.
Again, everything depends upon what “60–40” means.
If the judge says:
“After considering everything, I am reasonably confident A
is superior to B; if I had to put numbers on it, perhaps 60–40,”
then there is no equipoise. The court has identified its
best reading.
But suppose the judge says:
“There are substantial considerations favoring each
interpretation. I have a weak inclination toward A, perhaps 60–40, but I cannot
say with sufficient confidence that the interpretive tools establish A rather
than B.”
Then one might reasonably characterize the case as within an
interpretive-equipoise zone.
The question therefore is not really:
Is the number 55 rather than 50?
It is:
Has the interpretive process produced a sufficiently
reliable basis for distinguishing one interpretation as the best?
That is a much better test.
4. There is now a published 40–60 formulation of exactly
this idea
Interestingly, a recent discussion in The Tax Lawyer
expressly develops the probabilistic model you describe. It proposes an
illustrative 40%–60% range as an area of interpretive equipoise in which
the court cannot determine with sufficient confidence which interpretation is
“best” or “not best.” It also makes the point that meaningful judicial
discrimination between, for example, 51–49 interpretations is unrealistic and
suggests that 45–55 or 40–60 might better represent the practical zone of
uncertainty.
That is an analytical model, not a doctrinal numerical rule.
But I think it captures something important that the simple 50–50 example
misses.
5. Flight Options supports a range concept,
although it does not quantify it
Judge Murphy's concurrence in Flight Options
describes a modest canon as operating between “equally plausible
interpretations” and says the pro-taxpayer canon has this limited
tie-breaking function. He also analogizes it to lenity, which may operate when
“reasonable doubts” concerning the best reading persist after the traditional
tools have been exhausted.
I would not read “equally plausible” as requiring a
judge to conclude:
A = precisely 50.000%
B = precisely 50.000%.
That would make the canon almost nonexistent.
“Equally plausible” is better understood qualitatively:
Neither interpretation has emerged as sufficiently
superior to the other to permit the court confidently to identify it as the
best reading.
That describes a range rather than a mathematical point.
6. This is analogous—but not identical—to burdens of
persuasion
There is a useful analogy to factfinding.
We commonly say that a civil plaintiff must prove something
by a “preponderance”—more likely than not. People sometimes translate that into
51%.
But real factfinders do not calculate:
50.00001% = proven;
49.99999% = not proven.
The verbal standard identifies a degree of confidence,
not an actual mathematical computation.
Interpretive confidence is even less susceptible to
quantification because there is no empirical frequency from which probabilities
can readily be derived.
So percentages are useful for modeling the problem,
but should not be mistaken for actual judicial measurements.
7. I would distinguish “strict equipoise” from an
“equipoise zone”
This may give you the cleanest terminology.
Strict equipoise:
A and B appear exactly equally persuasive—the conceptual
50–50 case.
Interpretive-equipoise zone:
A range surrounding strict equipoise in which the
differences between A and B are too uncertain or insubstantial for the court
responsibly to identify either as the best interpretation.
Thus one might illustrate:
|
Illustrative assessment |
Characterization |
|
50–50 |
Paradigm equipoise |
|
52–48 |
Almost certainly within practical equipoise |
|
55–45 |
Quite plausibly within an equipoise zone |
|
60–40 |
Could be, depending on confidence in the distinction |
|
70–30 |
Ordinarily indicates a best reading |
|
90–10 |
Clearly not equipoise |
I emphasize that those numbers illustrate a concept; they
are not legal thresholds.
8. This exposes a difficulty in Loper's “best reading”
formulation
Taken literally, Loper Bright might seem to say:
If A is even marginally more persuasive than B, A is the
“single, best meaning.”
But that formulation assumes a degree of interpretive
precision that courts cannot realistically achieve.
Suppose:
A appears 51% persuasive.
B appears 49% persuasive.
Calling A the legally ascertainable “best meaning” implies
that the judicial process can reliably distinguish those two levels of
persuasiveness.
It probably cannot.
This is precisely the longstanding “ambiguity about
ambiguity” problem. Farnsworth, Guzior, and Malani's empirical work showed
that judgments about whether statutory language is ambiguous themselves vary
considerably and can be affected by how the ambiguity question is framed. And
before Loper, Justice Gorsuch criticized Chevron partly because no
coherent answer had emerged to the question of how much ambiguity is enough
to trigger deference.
Loper eliminates Chevron but does not eliminate that
epistemological problem.
9. I therefore would formulate the test without
percentages
For legal analysis, I think this formulation is stronger
than saying “40–60”:
Interpretive equipoise exists when, after exhausting the
relevant tools of statutory interpretation, the court lacks a sufficiently
reliable basis for concluding that one competing reasonable interpretation is
superior to the other. Equipoise therefore describes a zone of irreducible
interpretive uncertainty rather than necessarily an exact balance between two
interpretations.
Then you could add in a footnote:
The concept may be illustrated probabilistically as a range
centered on 50–50—perhaps 45–55 or 40–60—but the percentages are heuristic
rather than juridical thresholds.
That avoids an obvious criticism: if you define “best” as anything
above 50%, critics can simply respond that a 60% interpretation is
necessarily “better” than a 40% interpretation.
Your stronger response is that the court cannot actually
know that its nominal 60–40 impression is sufficiently reliable to constitute a
legal determination of superiority.
10. That matters directly to the tax-canon question
It also improves our preceding discussion of the
pro-taxpayer canon.
The canon need not wait for the practically impossible
finding:
“These interpretations are exactly 50–50.”
Instead, it can operate when:
ordinary interpretation has narrowed matters to two
reasonable readings, but has not supplied a sufficiently reliable basis for
identifying either as the superior reading.
At that point, a modest canon supplies the constructional
rule:
unresolved doubt → taxpayer-favoring construction.
This seems to me the most defensible understanding of Judge
Murphy's statement in Flight Options that the canon operates between
“equally plausible” readings.
So yes, I think your 40–60 conception is analytically
defensible, provided “40–60” denotes a zone in which the court cannot
reliably discriminate between the competing interpretations, rather than a
literal finding that one interpretation has a demonstrably 60% probability of
being correct. That qualification is crucial.
JAT Prompt #2:
If there is a zone in which the court cannot reliably discriminate between the competing interpretations, how does the court make the decision as to which interpretation to apply (assume that there are no canon that act as tie-breaker)?
ChatGPT Response #2:
JAT Postscript: If you can accept that Loper Bright has not taken away the potential for statutory ambiguity, then I urge readers to consider how a court decides the case in the state of ambiguity /aka equipoise (assuming no other rule or canon of construction supplies a default rule like lenity). In an agency interpretation case (assume IRS), should the taxpayer win or should the IRS win? The court has to decide a winner or loser on the interpretive issue. Further, is the default in favor of the IRS under (i) APA § 706(2)(A)'s requirement that the court determine the agency interpretation is "not in accordance with law" where the court cannot so determine or (ii) does the ordinary burden of persuasion supply the default rule because the taxpayer has not persuaded that he should prevail. And, after a lower court (say district court) decides the case in equipoise and the appellate court is in ambiguity, does it review the lower court's "interpretation" de novo where it applies its own hunches/guesses in ambiguity and reverse or affirm the lower court accordingly?
My conclusion: this is just one instance where Loper Bright is a mess.
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