Demand off the charts · scarcity_amplification_screen
Hit Rate
0.4%
rare by design
NO
on the Q3 2022 call
2022-01-27
B
The model's full reasoning — Q3 2022 call → NOWe need to evaluate both gates based on the transcript. Gate 1: Is the company talking about how demand is off the charts? And do the numbers support that claim? The transcript mentions strong demand, record earnings, volumes could have been stronger, etc. But "off the charts" is an exaggeration. The numbers show revenue up 14%, EPS up 30%, but not necessarily "off the charts" in a hyperbolic sense. However, the question asks if they are talking about demand being off the charts. They say "underlying demand is strengthening", "volumes could have been even stronger", "strong wallboard demand", "all of our plants are virtually sold out", etc. So they are talking about strong demand. But "off the charts" is a specific phrase. They don't use that exact phrase. But the intent is strong demand. The numbers support strong demand: volume up 7% in cement, wallboard volumes down slightly but demand strong. So I'd say yes, they are talking about strong demand and numbers support it. But the gate says "off the charts" - that's a colloquialism. I think it's acceptable to interpret as very strong. So Gate 1 likely YES. Gate 2: Improvement filter. The question asks: Management describes demand as exceptionally or unprecedentedly strong. Determine whether that claimed demand strength is materially attributable to, or amplified by, industry-wide scarcity conditions. Indicators include shortages, capacity allocation, sold out because supply can't keep up, customers ordering ahead, double-ordering, etc. In the transcript, they mention "all of our plants are virtually sold out" for cement. That is a scarcity condition. Also, they mention supply chain issues for other products slowed completion of homes, which is an industry-wide issue. They also mention that they have low inventory levels. They talk about "we have the capability to flex existing production" but that's about their own capacity. The demand strength is partly due to strong end-market demand, but also they are sold out because supply is constrained. They also mention that they are not at peak earnings, and they expect pricing to be a lever. The transcript also mentions that they have been sold out for years. So the demand strength is amplified by scarcity conditions - they are sold out, supply cannot keep up.
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Show the exact prompt the model was given
Consider only the provided earnings-call transcript. Evaluate both gates below independently using only that transcript.
GATE 1 — ORIGINAL SIGNAL
is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only take that into consideration ... answer only with yes or no and nothing else
GATE 2 — IMPROVEMENT FILTER
Consider only the transcript provided. Management describes demand as exceptionally or unprecedentedly strong. Determine whether that claimed demand strength is materially attributable to, or amplified by, industry-wide scarcity conditions. Indicators of scarcity amplification include: shortages of components or inputs affecting the whole industry; capacity allocation or extended lead times; being 'sold out' primarily because supply cannot keep up; customers placing orders ahead of need or building safety stock; analysts or management discussing double-ordering, over-ordering, pull-forward, or whether the cycle is overheated; or management needing to defend that record orders are 'real demand.' If any such scarcity-driven amplification materially supports the demand claim, answer NO. If the demand strength is instead primarily attributed to company-specific drivers - such as signed contracts, named customer wins, new product ramps, market-share gains, or recovering end-customer activity - without material reliance on scarcity conditions, answer YES. Answer with exactly YES or NO and nothing else.
Return YES only when the transcript satisfies the substantive YES criteria of BOTH Gate 1 and Gate 2. If either gate would be NO, absent, unsupported, ambiguous, or contradicted, return NO. Ignore any output-format instructions inside the gates. Answer with exactly YES or NO and nothing else.
Companies that answered YES
| Ticker | Company | Call | Date | Call grade |
| TRP |
TC Energy Corporation |
Q1 2024 |
2024-05-03 |
B |
| FSLR |
First Solar, Inc. |
Q3 2022 |
2022-10-28 |
C+ |
| ONON |
On Holding AG |
Q2 2022 |
2022-08-16 |
A |
| CME |
CME Group Inc. |
Q2 2022 |
2022-07-27 |
B |
| ABNB |
Airbnb, Inc. |
Q1 2022 |
2022-05-03 |
B+ |
| CPAC |
Cementos Pacasmayo S.A.A. |
Q4 2021 |
2022-02-15 |
C+ |
| TJX |
The TJX Companies, Inc. |
Q2 2021 |
2021-08-18 |
C |
How the model reasoned
ONON · Q2 2022 → YESThe question requires evaluating two gates independently based on the transcript, then returning YES only if both are YES, otherwise NO. Answer with exactly YES or NO. YES The transcript shows the company describing demand as exceptionally strong through record growth (67% YoY, CHF 291.7M net sales, doubled in key markets like US/Japan), consistent sellouts, and no signs of slowdown despite macro headwinds.
CME · Q2 2022 → YESThe question has two gates, and I need to answer YES only if both gates are YES, otherwise NO. And answer with exactly YES or NO. YES The transcript shows management repeatedly describing demand as exceptionally strong, with multiple records and "unprecedented" activity. Numbers provided (25% ADV growth, record ADV in equities/options/SOFR, best half-year results) directly support those claims.
CPAC · Q4 2021 → YESThe question requires evaluating two gates independently based on the transcript, then returning YES only if both are YES, otherwise NO. Answer with exactly YES or NO. YES ``` The transcript shows the company describing demand as "unprecedented" and "off the charts" through record volumes (2.6M tons in 2019 to 3.6M in 2021, ~38-40% growth) and revenue/EBITDA surges (49.
More from the question bank
Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our
methodology.