
New research shows that selecting which evidence to show distorts decisions more than hiding facts. The finding applies directly to how traders should read earnings calls and filings.
A new experiment from five economists suggests that the way people present information matters more than what they hide. The finding has direct implications for how traders, analysts, and executives should read corporate communications.
The study, led by researchers at the University of Chicago, New York University, and Princeton, tested a model where an informed sender picks which verifiable evidence to show a receiver. The sender could either conceal unfavorable facts or select favorable ones from a larger pool. The receiver then made a decision based on what was shown.
The key result: selection distorted receiver behavior far more than concealment, simply because it happened more often. Senders selected evidence in roughly 60% of trials where they had the option, while outright concealment occurred in fewer than 20%. Even though receivers misjudged both tactics by similar margins, the sheer frequency of selection made it the dominant source of error.
Some senders in the experiment consistently overcommunicated relative to the model's predictions. The authors labeled them "deception averse" – they showed more evidence than a purely strategic sender would. Receivers, for their part, responded too optimistically to both concealed and selected evidence, with errors of roughly equal size.
For anyone reading a company's investor presentation, an earnings call transcript, or a regulatory filing, the takeaway is practical. The distortion to watch is not the lie of omission – the fact the company did not mention. It is the selection – the fact the company chose to lead with one metric over another, knowing both were true.
A CFO who highlights same-store sales growth while the filing shows revenue per square foot flat is not concealing. She is selecting. The experiment suggests that move, repeated across dozens of disclosures, shapes investor beliefs more than any single hidden number.
The study does not claim that concealment is harmless. It claims that selection is the more common distortion, and that its cumulative effect on beliefs is larger. For traders building models around management guidance, the implication is to weight the distribution of disclosed evidence, not just the headline figure.
A company that releases 12 data points every quarter and consistently leads with the same three is sending a signal about which numbers it thinks matter. The experiment suggests receivers should treat that signal with the same skepticism they would apply to an outright omission.
The paper is available as a working paper from the National Bureau of Economic Research. No date has been set for journal publication.
Prepared with AlphaScala research tooling and grounded in primary market data: live prices, fundamentals, SEC filings, hedge-fund holdings, and insider activity. Each story is checked against AlphaScala publishing rules before release. Educational coverage, not personalized advice.