How size and conspicuousness affect the efficacy of flash coloration
Bibliographic record
Abstract
Some prey are cryptic at rest but expose conspicuous colors when in motion. Previous findings suggest that these “flash displays” deceive would-be predators by providing false information about the color of prey, tricking them into continuing to look for prey with the conspicuous color when the prey have actually returned to their cryptic resting state. These results raise questions about the properties of flash coloration that make it effective. Here, using humans as visual foragers searching for artificial prey models on a computer screen, we tested whether the effectiveness of flash coloration depends on the size of artificial prey. In addition, we tested whether flashing a different, but inconspicuous, color other than the resting color of prey is sufficient to deceive predators, or whether the flash coloration actually needs to be conspicuous to elicit predator confusion. Results indicate that 1) flash coloration tends to be more effective in large prey and 2) only conspicuous flash displays substantially reduce predation. Our findings help to explain why hidden color patches are more likely to be found in large insect species and why flash coloration is so often conspicuous. This study provides direct experimental evidence that the effectiveness of flash coloration is conditional, in that not all forms of flash display increase survivorship.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".