People derive an intrinsic value on other people's profit. Several experiments prove the existence of these “other-regarding motives”. Altruism has been given of the main interpretation for this kind of behavior. How to elicit altruism however heavily depends on the experimental methodology used. In this paper, we analyze whether people are altruistic with their effort and their money alike. To elicit altruism in effort, we use a real effort experiment game of proofreading assistance on dictation texts. For each of the 16 texts that the subject edits, he knows the useful area in which his effort will increase the probability of generating a fix gain to the first author of the text. The intensity of effort (number of edits required to generate money) varies from one text to the other. Subjects are paid through a capitation payment system, defined in such a way that, the self-interested choice is to provide one edit on the text. We use deviations from that behavior to build effort-based measures of altruism. To elicit altruism in money, we use the standard questionnaire technique, where subjects state how much they can transfer to charity out of a fix amount of money. Using a multinomial logit model, we find that, the number of wrong edits can predict effort-based altruism, but not the stated measure of altruism. Our results indicate that, we should be cautious in using stated methods to reveal altruism.