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Law of Diminishing Returns
Law of Diminishing Returns
Law of Diminishing Returns
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Overview

Think back to the last time you overindulged in a huge, delicious dessert. It’s likely that the first bite was divine, but perhaps ...

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Tecum optime, deinde etiam cum mediocri amico. Compensabatur, inquit, cum summis doloribus laetitia. Aliter homines, aliter philosophos loqui putas oportere? Eiuro, inquit adridens, iniquum, hac quidem de re; Nec vero pietas adversus deos nec quanta iis gratia debeatur sine explicatione naturae intellegi potest. Haec non erant eius, qui innumerabilis mundos infinitasque regiones, quarum nulla esset ora, nulla extremitas, mente peragravisset.

Illud non continuo, ut aeque incontentae. Eiuro, inquit adridens, iniquum, hac quidem de re; Haec bene dicuntur, nec ego repugno, sed inter sese ipsa pugnant.

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Actionable Takeaways
  • Find the optimal peak. 

Know that ‘more of a good thing is not always better’ ...

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Iam id ipsum absurdum, maximum malum neglegi. Aut haec tibi, Torquate, sunt vituperanda aut patrocinium voluptatis repudiandum. Est autem a te semper dictum nec gaudere quemquam nisi propter corpus nec dolere. Tum Piso: Quoniam igitur aliquid omnes, quid Lucius noster? Quem ad modum quis ambulet, sedeat, qui ductus oris, qui vultus in quoque sit? In eo autem voluptas omnium Latine loquentium more ponitur, cum percipitur ea, quae sensum aliquem moveat, iucunditas. Ita relinquet duas, de quibus etiam atque etiam consideret. Quo minus animus a se ipse dissidens secumque discordans gustare partem ullam liquidae voluptatis et liberae potest. Non igitur de improbo, sed de callido improbo quaerimus, qualis Q.

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Limitations

The Law of Diminishing Returns is based on a number of assumptions that are not always relevant to real-world situations. These include: 

  • No change in technology

  • A short period of impact

  • Consistent, homogeneous units

  • Measurement of product using tangible units. 

Each of these assumptions might be challenged in the real world. Technology is always progressing, the units of input are likely going to vary (hiring one person compared to another person will have different impacts) and even the questions of measurement will be more complex beyond the narrow assessment of weight or financial value. 

It relies on a static, predictable system which is rarely true or at least has clear limitations when applied to the complexity of reality.  

In Practice

Too Many Cooks. 

A useful example to explain this model is to consider a small food truck that sells doughnuts. If that truck has one cook, they might be able to produce 20 doughnuts every hour. Adding one more cook might increase that output to 40 doughnuts every hour. However, adding a third cook might only allow them to produce 45 doughnuts every hour because of the limited space and resources in the truck, and adding a fourth cook might not add any returns at all.

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Origins & Resources

The concept of Diminishing Returns has a rich and long history, being traced back to economists such as Adam Smith, Jacques Turgot, and Thomas Mathus. The earliest explicit references to this model were in relation to farming outputs and can be attributed to Thomas Malthus and David Ricardo.

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