The Fill Down Fallacy

Lab Case 010: The Fill-Down Fallacy | Paul Faulkner — The Rogue Protocol
Fail · Lab Case 010 · 12 June 2026
Forensic Investigation — Concluded

The Fill-Down Fallacy —
One Assumption,
One Conclusion

A single CPI print applied in perpetuity across 74 rows of arithmetic, dressed in pipeline mechanics language and sold as portfolio analysis. The FRED data was free, three comments away, and destroys the thesis. This is the working he chose not to do.

Subject Charlie Andrys
Organisation 21st Financial LLC · North Dakota
Verdict Fail — 4 findings
Sub-findings 3 Fail · 1 Structural
Key finding 4.2% is the 84th pct post-Volcker. Fed target → $22,420 vs $4,194.
Credential Series 65 · Aug 2025 · 10 months practice
TIPS rebuttal +2.15% real yield · $100k → $482k real · 115× Andrys
Origin LinkedIn post + Substack · 12 June 2026
LinkedIn Post · Charlie Andrys · 21st Financial · 12 June 2026

“Official” inflation just came in at 4.2%. What does that actually do to $100,000?

2026: $100,000 · 2027: $95,800 · 2028: $91,776 … 2042: $50,485 ← half your money gone … 2050: $35,821 ← what your kids get … 2080: $9,888 ← what your grandkids get … 2100: $4,194 ← you might not be around.

Own hard assets or get left behind.

Charlie Andrys · Investment Adviser Representative & Founder, 21st Financial · LinkedIn · 12 June 2026 · 16 comments · 5 reactions
The Investigation Sequence — 12 June 2026
AM
Andrys publishes the fill-down table. One number — 4.2% — applied 74 times. Binary conclusion: cash is structurally defective. Bitcoin is the alternative.
Thread
Challenge posted: “pull the FRED data it’s free, your thesis collapses.” Alexander Alexandrov (CFA, CIA, CTP) independently identifies the methodology: “you used a one-month data on inflation and the fill-down formula in Excel to project 100 years into the future.”
Thread
Second challenge: “Model it, all scenarios, because all show is history. I challenged you a few backs to model it, you lack the skills and knowledge.” No modelling follows. The author posts a FRED chart labelled “Unsustainable” with no axis labels and no data analysis.
PM
Andrys publishes “The Inflation Pipeline: What This Week’s Two Reports Tell You About Your Cash” — a companion Substack and LinkedIn article doubling down on the pipeline narrative. The same single-assumption structure. No scenarios. No FRED distribution analysis. No comparison asset class. The challenge was not met.

The artefact is a year-by-year purchasing power decay table starting at $100,000 and running to $4,194 by 2100. Behind all 74 rows: one number. 4.2%. One cell. Repeated. The companion article added pipeline mechanics language — PPI-CPI transmission lag, financial repression, FOMC policy constraint — that implies analytical sophistication the underlying work does not support.

The FRED data used in this investigation was downloaded and analysed on the same day the post was published. The exercise took under two hours. The author was invited to do it. He has not done it.

Four FRED series.
All publicly available. All free.

The investigation uses the same data sources the author was invited to consult. CPIAUCSL provides 953 monthly observations from January 1947 to May 2026 — the historical distribution against which a permanent assumption must be tested. The real rates data (FEDFUNDS, DFII10) tests the financial repression claim and identifies the instrument class the article omits entirely.

CPI Series
FRED CPIAUCSL
Consumer Price Index, All Urban Consumers
Seasonally Adjusted · Monthly
Jan 1947 – May 2026 · n=953
YoY computed as pct_change(12)
Post-Volcker subset: Jan 1983 – May 2026 · n=520
TIPS Real Yield
FRED DFII10
10-Year Treasury Inflation-Protected Securities
Real Yield · Daily · Resampled to monthly mean
Jun 2021 – Jun 2026
Current reading: +2.15% (Jun 2026)
Months negative: 11 (Jun 2021 – Apr 2022 only)
Policy Rate
FRED FEDFUNDS
Effective Federal Funds Rate · Monthly
Jul 1954 – May 2026 · n=863
Current: 3.63% (May 2026)
Real FF rate = FEDFUNDS − CPI YoY
Current real rate: −0.64%
Terminal Values
Andrys methodology applied across scenarios
Formula: $100,000 × (1 − r)^n
n = 74 years (2026–2100)
Rates: nine scenarios across CPI distribution
From Fed target (2.0%) to 2022 peak (9.1%)
All computed from FRED distributional data

One tail print.
84th percentile. Projected forever.

Post-Volcker months
ABOVE 4.2% (1983–2026)
15.8%
4.2% exceeds 84.2% of all post-Volcker readings. Andrys projects a tail event as a permanent structural rate.
$100k terminal value
at Fed target (2.0%)
$22,420
5.3× Andrys’s $4,194. Every dollar of emotional impact in the table is manufactured by the assumption in cell A1.
10yr TIPS real yield
June 2026 · DFII10
+2.15%
The instrument class designed precisely for the problem described. Positive and rising since May 2022. Not mentioned once in the article.
$100k in TIPS over 74yr
real purchasing power
$482k
At +2.15% real, $100k grows to $482,600 in today’s purchasing power by 2100. Against Andrys’s $4,194 nominal. Ratio: 115×.
$100,000 Purchasing Power · Nine Scenarios · 2026–2100 · Andrys formula (1−r)^74 applied across CPI distribution FRED CPIAUCSL · Post-Volcker distribution · Jun 12, 2026
Scenario Annual Rate Terminal Value (2100) vs Andrys
Fed stated target 2.00% $22,420 5.3×
Great Moderation mean (1993–2019) 2.25% $18,570 4.4×
Pre-COVID mean (1983–2019) 2.68% $13,390 3.2×
Post-Volcker median (1983–2026) 2.77% $12,520 3.0×
Post-Volcker mean (1983–2026) 2.86% $11,690 2.8×
Full post-WWII mean (1948–2026) 3.52% $7,030 1.7×
Andrys projection — current print only 4.20% $4,194 1.0×
Post-Volcker 90th percentile 7.40% $73
2022 inflation peak 9.10% $3
CPIAUCSL YoY Distribution · Post-Volcker (1983–2026) · n=520 months · Where the Andrys assumption sits FRED CPIAUCSL Seasonally Adjusted · Federal Reserve Bank of St. Louis
MONTHLY READINGS (POST-VOLCKER) TAIL (15.8%) 0% 5% 10% 15% 20% 25% 30% 6.2% 21.5% 31.0% 22.6% 11.4% 3.5% 2.3% 0–1% 1–2% 2–3% 3–4% 4–5% 5–6% 6–7% >7% CPI YoY Annual Rate MEDIAN 2.77% ← 84.2% OF POST-VOLCKER MONTHS 15.8% → ANDRYS ASSUMPTION 4.2% IN PERPETUITY
Distribution of monthly CPIAUCSL YoY readings, post-Volcker era (January 1983 – May 2026, n=520 months). The distribution is centred around 2.77% median. The crimson line at 4.2% marks Andrys’s permanent assumption. 84.2% of all post-Volcker monthly readings are to the left of this line — i.e., below the rate he projects as permanent. In the pre-COVID period (1983–2019), only 12.8% of months exceeded 4.2%. In the decade 2010–2019, zero months exceeded it. The current elevated reading (driven by post-tariff pass-through from Q1 2026) was at 2.66% as recently as February 2026 and accelerated to 4.27% by May — a 3-month move, not a structural baseline.

The scenario table makes the structure of the distortion visible in a way a single headline cannot. From the Fed’s own stated target (2.0%), $100,000 reaches $22,420 by 2100 — 5.3× the published figure. The post-Volcker median (2.77%), the most historically grounded single assumption available, produces $12,520. Every scenario using a rate grounded in the empirical distribution produces a materially different conclusion from the one published.

The final two rows are not predictions. They illustrate the logical problem with permanent-rate assumptions: applied consistently to the 2022 CPI peak (9.1%), $100,000 becomes $3. If the permanent-rate methodology is valid reasoning, it leads to that conclusion equally. It does not. The methodology is the failure — not the choice of 4.2% specifically. Any permanent rate produces an absurd terminal claim. The choice of the current hot print as the rate to project simply ensures the absurdity arrives at the most alarming number available.

The adjustments
were never applied.

F01
There is no model — one assumption, 74 rows of arithmetic
✕ Fail
The table is prior_year × (1 − 0.042), iterated 74 times. That is not a model. It is arithmetic applied to a fixed premise. A model requires a minimum of: the historical distribution of the input variable; scenario branches across that distribution; probability weights; terminal value sensitivity to the entry assumption. None of these are present.

The entry assumption determines everything. At 4.2%, the terminal value is $4,194. At the Fed’s stated target (2.0%) it is $22,420. At the post-Volcker historical mean (2.86%) it is $11,690. At the historical median (2.77%) it is $12,520. The difference between the most cautious historically grounded assumption and the assumption published is $8,326 — more than twice the published terminal value. The entire emotional payload of the table — the half-life annotation, the intergenerational framing — is manufactured by the choice of input, not revealed by any analysis.

The author was challenged to pull the FRED data twice in the comment thread. The FRED data is free, publicly available, and would have shown immediately that 4.2% is the 84th percentile of post-Volcker monthly readings — a rate exceeded by only 15.8% of all months since Volcker tamed the 1970s inflation. He did not pull it.
Determining numbers: Terminal value at 4.2%: $4,194 · At Fed target (2.0%): $22,420 (5.3×) · At post-Volcker median (2.77%): $12,520 (3.0×) · At post-Volcker mean (2.86%): $11,690 (2.8×) · Post-Volcker months above 4.2%: 15.8% (84th pct) · Pre-COVID (1983–2019): only 12.8% above 4.2% · 2010–2019: zero months above 4.2%.
F02
The binary is constructed — TIPS, gold, and equities are not mentioned
✕ Fail
The article presents two assets available to a saver: USD cash and Bitcoin. Cash is destroyed by inflation. Bitcoin is the alternative. This binary is not an analytical conclusion. It is the product architecture of a practice whose stated client types are, exclusively, Bitcoin-curious investors and Bitcoiners.

Assets that directly address the inflation problem described and which are absent from the analysis: Treasury Inflation-Protected Securities (TIPS), indexed to the same CPI headline used as the threat variable; I-Bonds, currently yielding above CPI-U; S&P 500 total return, which has historically exceeded CPI by approximately five percentage points annually; Gold, which the author’s own comment thread shows returning +77% over 2 years and +117% over 5 years in the current measurement window — outperforming Bitcoin in both.

The TIPS omission is the decisive finding. The 10-year TIPS real yield is currently +2.15% (FRED DFII10, June 2026). At that rate, $100,000 grows to $482,600 in real (inflation-adjusted) purchasing power by 2100. Not nominal. Real. The instrument class designed specifically to solve the problem described produces a 115× better real outcome than the cash scenario. It is not mentioned once in the article or the companion Substack.
Determining numbers: TIPS real yield (DFII10, Jun 2026): +2.15% · $100k in TIPS over 74yr (real): $482,600 · Ratio vs Andrys $4,194 nominal: 115× · Gold (author’s own thread): 2yr +77%, 5yr +117% current window — beats Bitcoin both periods · Author mentions TIPS: zero times · Author mentions I-Bonds: zero times.
F03
The rolling window problem — demonstrated by the author, in the same thread
✕ Fail
When challenged in the comment thread on 2-year and 5-year comparative returns (Bitcoin vs S&P 500 vs Gold), the author provided the data. In the current measurement window: Bitcoin −9% (2yr), +68% (5yr); S&P 500 +35% (2yr), +71% (5yr); Gold +77% (2yr), +117% (5yr). Bitcoin underperforms or matches every comparison asset in both windows.

The author then voluntarily shifted the measurement window to September 2025. In that window: Bitcoin +335% (2yr), +980% (5yr); S&P 500 +48%, +96%; Gold +90%, +88%. He presented the September 2025 window as the intellectually honest comparison and the current window as cherry-picking.

He chose the window that proves the thesis, labelled it honest, and called the window that disproves it cherry-picking. This is the rolling window problem in primary source form — generated by the author himself, in the same thread, in direct response to a challenge. It requires no inference. The methodology was demonstrated in evidence.

This is the most efficient summary of what is wrong with the analytical approach: when the current data contradicts the thesis, the response is to find a different window where it does not. The September 2025 window was selected because Bitcoin’s outperformance peaked there, immediately before a 9% decline that runs to the present day. Applying that logic consistently — always measuring from the highest point — is not analysis. It is advocacy with a timestamp.
Current window: Bitcoin 2yr −9%, 5yr +68% · S&P 500 2yr +35%, 5yr +71% · Gold 2yr +77%, 5yr +117% — Bitcoin last in 2yr, third in 5yr. September 2025 window (author’s preferred): Bitcoin 2yr +335%, 5yr +980% — Bitcoin first both periods. Author’s framing: Sep 2025 = “honest”; current = “cherry-picking.” Author selected Sep 2025 because it is Bitcoin’s best available 2-year window.
F04
Credential-methodology gap — vocabulary implies capability not present
Structural
The article deploys legitimate analytical vocabulary: PPI-CPI transmission lag, financial repression, FOMC policy constraint. The PPI leading CPI by one to two months is structurally correct and the mechanism is documented. The financial repression framework — inflation above target while rates stay below the rate needed to suppress it, due to government debt service constraints — is a real and important structural argument. The mechanism is sound. The inference drawn from it is not.

One month’s PPI print of 6.5% (the largest annual increase since November 2022, per the article itself) does not confirm permanent structural inflation. It confirms one elevated month in the pipeline. The current CPI trajectory — 2.38% in March–April 2025, falling to 2.66% in February 2026, then accelerating to 4.27% by May 2026 — is consistent with a tariff-driven shock, not a structural step change. The methodology does not distinguish between these cases because it has no distributional component that could make the distinction.

The Series 65 examination qualifies an investment adviser representative to give investment advice in a registered state practice. It does not test probability theory, quantitative modelling, or scenario construction. The author’s prior background includes seven years of self-directed retail equity trading, remote mining operations, a seven-month fund role, and a non-voting REIT board position. These are the inputs to the analytical vocabulary deployed.

This is a structural finding, not a dishonesty finding. The analytical vocabulary of financial repression and pipeline transmission is legitimate and worth deploying. The failure is in stopping at the vocabulary without doing the quantitative work the vocabulary implies.
Credential: Series 65, issued August 2025 · Practice age: 10 months (Sep 2025 – present) · Prior background: self-directed equity trading (7yr), remote mining operations, 7-month fund role, non-voting REIT board · Real FF rate (May 2026): −0.64% — mild financial repression · Current 4.27% driven from 2.66% in Feb 2026 (3-month move) · No scenario modelling attempted in published response to challenge.

The binary has
a third option that solves it.

TIPS — Treasury Inflation-Protected Securities · FRED DFII10 · June 2026

The article’s core problem — inflation erodes the purchasing power of cash savings — is a real and documented structural issue. The financial repression argument (policy rate below the inflation rate, constraining the Fed’s response due to debt-service costs) has current empirical validity: the real Fed Funds rate is −0.64% as of May 2026. The structural case for holding assets with inflation-linked returns is coherent.

The instrument class designed for precisely this problem is Treasury Inflation-Protected Securities. TIPS principal is indexed to CPI: as inflation rises, so does the bond’s principal. Additionally, TIPS pay a real yield above inflation. The 10-year TIPS real yield (FRED DFII10) is currently +2.15% per annum. This is not a nominal return. It is a real return — above and beyond whatever inflation occurs. It has been positive and rising since May 2022.

At +2.15% real compound over 74 years, $100,000 grows to $482,600 in real, inflation-adjusted, 2026 purchasing power by 2100. That is not the nominal value — it is what that money buys in today’s terms, fully protected against inflation and growing. Against Andrys’s implied cash position of $4,194 nominal (which represents a severe real loss), the TIPS position represents a 115× differential in real terminal wealth.

The binary between cash and Bitcoin is not just analytically incomplete. It ignores the entire government-backed, liquid, inflation-protected bond market — an asset class that has existed since 1997, currently trades over $100 billion per day, and directly addresses the exact threat the article describes. The author mentions TIPS zero times. He mentions I-Bonds zero times. He mentions inflation-linked strategies zero times.

The omission is not neutral. Every one of these instruments would require modelling comparative risk-adjusted returns to dismiss — which would complicate the binary and undermine the sales case. The binary is preserved by not modelling what falls outside it. That is the finding.

Note on the financial repression argument specifically: the article’s claim that the Fed is “boxed in” by debt-service constraints has structural merit. At current debt-to-GDP levels, aggressive rate hikes carry significant fiscal cost, and this does constrain the Fed’s reaction function. But financial repression and permanent 4.2% inflation are different claims. Financial repression has occurred during periods when TIPS real yields were strongly positive — as they are now. The financial repression argument, correctly applied, is an argument for inflation-linked assets generally. The author converts it into an argument for Bitcoin specifically by omitting the class that most directly benefits from the regime he describes.

Primary CPI Series
FRED CPIAUCSL
CPI All Urban Consumers
Seasonally Adjusted · Monthly
Jan 1947 – May 2026 · n=953
Federal Reserve Bank of St. Louis
Downloaded: 12 June 2026
YoY computed pct_change(12)
TIPS Real Yield
FRED DFII10
10-Year TIPS Real Yield
Daily · Resampled to monthly mean
Jun 2021 – Jun 2026
Federal Reserve Bank of St. Louis
Current: +2.15% (Jun 10, 2026)
Downloaded: 12 June 2026
Policy Rate + M2
FRED FEDFUNDS · M2SL · M2REAL
Effective Federal Funds Rate
Monthly · Jul 1954 – May 2026
M2 nominal + real (1982-84 base)
Monthly · Jan 1959 – Apr 2026
Federal Reserve Bank of St. Louis
Downloaded: 12 June 2026
Subject Artefact
Charlie Andrys · LinkedIn · 12 Jun 2026
Original fill-down table post
linkedin.com/feed/update/
urn:li:activity:7470834561757646848
16 comments · Captured 12 Jun 2026
Subject Article
21st Financial · Substack · 12 Jun 2026
“The Inflation Pipeline: What This
Week’s Two Reports Tell You
About Your Cash”
481 subscribers · Published same day
Cross-posted to LinkedIn Pulse
Thread Evidence
LinkedIn comment thread
Rolling window comparison data
self-reported by Andrys in response
to challenge (Alexander Alexandrov)
Sep 2025 vs current windows
Captured 12 Jun 2026
Forensic Verdict · Lab Case 010

Fail.
Output is not a model.

F01 · No
model present
Fail
F02 · Binary
constructed
Fail
F03 · Rolling
window
Fail
F04 · Credential
gap
Structural

The published analysis is a single assumption — 4.2% inflation in perpetuity — expressed across 74 rows of arithmetic, wrapped in pipeline mechanics language, and used to generate a binary allocation conclusion that serves the author’s business model. The mechanism is: put one number in cell A1. Fill down. Annotate for emotional impact. Omit the assets that would complicate the conclusion. Publish.

There is no model to interrogate. There is a premise. The historical distribution of US CPI rates (FRED CPIAUCSL, post-Volcker, n=520 months) shows that 84.2% of all monthly readings since 1983 are at or below 4.2%. The assumption is not wrong because it is high — it is wrong because it is presented as the only scenario, with no distributional context, no scenario branches, and no sensitivity analysis. Applied consistently to the tail in the other direction (the 2022 peak of 9.1%), the same methodology produces $3 by 2100. The methodology cannot distinguish between the plausible and the absurd because it has no architecture for doing so.

The binary (cash vs Bitcoin) omits the instrument class that directly solves the stated problem. TIPS real yield is currently +2.15%. At that rate, $100,000 grows to $482,600 in real purchasing power over 74 years — 115 times the implied cash terminal value. The author did not model this. He did not mention it. He built a binary that makes Bitcoin the only logical answer by removing from consideration every instrument that also provides the answer, without requiring Bitcoin exposure.

The rolling window failure was documented by the author himself. In the comment thread, when challenged on comparative returns, he provided current window data showing Bitcoin underperforming gold and equities, then shifted to September 2025 to show outperformance, and described the September window as honest and the current window as cherry-picking. The rolling window problem cannot be demonstrated more efficiently than by the subject demonstrating it in their own response to a challenge.

The structural finding (F04) is not a dishonesty finding. The financial repression argument is legitimate, the PPI-CPI transmission mechanism is real, and the concern about savings purchasing power is valid. The failure is in stopping at the vocabulary without doing the quantitative work the vocabulary implies. A registered investment adviser advising clients on inflation risk should be able to show clients the distributional range of plausible outcomes, the instruments available to address each scenario, and the tradeoffs involved. That work is not present here.

Forensic finding: One assumption (4.2%) applied in perpetuity — 84th pct post-Volcker, exceeded by only 15.8% of months since 1983 — across 74 rows of arithmetic. Terminal value at Fed target (2.0%): $22,420 vs $4,194 published (5.3×). TIPS real yield +2.15% → $482k real (115×). Binary (cash vs Bitcoin) omits TIPS, I-Bonds, S&P, Gold — all of which address the stated problem. Rolling window self-demonstrated in thread by subject. Credential (Series 65, 10 months) inconsistent with vocabulary deployed. Overall verdict: Fail — Output Is Not a Model.
Note on Process
This investigation was initiated after two public challenges in the subject’s comment thread went unanswered and the subject subsequently published a companion article using the same single-assumption structure. The FRED data was downloaded and analysed on June 12, 2026 — the same day both the original post and the companion article were published. The investigation took under two hours from data download to completed analysis. Charlie Andrys is invited to respond, model the scenarios, and submit a revised analysis via thelab@paulfaulkner.com. Any substantive response will be published in full and linked from this page. The invitation to pull the FRED data remains open.
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