Origins: segregation and Schelling's model
The term first appeared in 1950s American urban research. The political scientist Morton Grodzins (1957) used it for "white flight": once the share of Black households in a white neighborhood passed a certain level, white residents left en masse. The economist Thomas Schelling (1971, 1978) showed with a simple checkerboard model that even mild individual preferences, such as being content if a third of one's neighbors share one's group, can produce stark segregation overall. The insight that micromotives and macrobehavior can diverge sharply became a classic of game theory and agent-based modeling.
Threshold models and cascades
Mark Granovetter (1978) proposed a threshold model in which each person joins a riot or fad once a certain number of others have joined, with thresholds varying across people. Small differences in the distribution of thresholds can decide whether behavior spreads through everyone or never takes off. Duncan Watts (2002) extended this to cascades on networks, and Watts and Dodds (2007) argued that the structure of many easily influenced people matters more than a few "influentials." Malcolm Gladwell's The Tipping Point (2000) popularized the idea, though its emphasis on a few key individuals was contested by researchers. Work on the bandwagon effect and conformity is read in the same light.
Natural science and experiments
Tipping points are also central to ecology and climate science. Scheffer et al. (2009) reviewed "early-warning signals," such as slowing recovery from shocks, that appear before critical transitions like lake eutrophication or desertification. Lenton et al. (2008) identified climate "tipping elements" such as the Greenland ice sheet, the Amazon rainforest and the Atlantic meridional overturning circulation, which may be hard to reverse once crossed. In social science, Centola et al. (2018) showed in online experiments that a committed minority of about 25% could overturn an established convention. Rosabeth Moss Kanter's (1977) work on "tokens," which argued minorities gain influence only above a certain share of a group, is related. Such nonlinear change is a key theme of complexity theory.
FAQ
- Is a tipping point the same as a critical point?
- They are used almost interchangeably. In physics a critical point refers to a phase transition, while tipping point usually refers more broadly to the threshold at which social, ecological or climate systems shift abruptly to another state.
- Does the 25% rule always hold?
- No. It is the value observed in Centola et al.'s experiments; the share needed can vary with network structure, the nature of the norm and the context.
Sources reviewed: 2026-10-26
References
- Grodzins, M. (1957). Metropolitan segregation. Scientific American, 197(4), 33–41.
- Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology, 1(2), 143–186.
- Schelling, T. C. (1978). Micromotives and Macrobehavior. New York: W. W. Norton.
- Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 83(6), 1420–1443.
- Gladwell, M. (2000). The Tipping Point: How Little Things Can Make a Big Difference. Boston: Little, Brown.
- Watts, D. J. (2002). A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences, 99(9), 5766–5771.
- Scheffer, M., et al. (2009). Early-warning signals for critical transitions. Nature, 461(7260), 53–59.
- Lenton, T. M., et al. (2008). Tipping elements in the Earth's climate system. Proceedings of the National Academy of Sciences, 105(6), 1786–1793.
- Centola, D., Becker, J., Brackbill, D., & Baronchelli, A. (2018). Experimental evidence for tipping points in social convention. Science, 360(6393), 1116–1119.
- Kanter, R. M. (1977). Men and Women of the Corporation. New York: Basic Books.
- Watts, D. J., & Dodds, P. S. (2007). Influentials, networks, and public opinion formation. Journal of Consumer Research, 34(4), 441–458.