> For the complete documentation index, see [llms.txt](https://globalimpact.gitbook.io/untitled/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://globalimpact.gitbook.io/untitled/partners-contexts-trials/the-life-you-can-save-tlycs.md).
# The Life You Can Save (TLYCS)
Leads: Bilal Siddiqi, Neela Saldhana; Other partner contact: Jon Behar (Giving Games)
We have completed various trials in conjunction with [The Life You Can Save](https://www.thelifeyoucansave.org/), the most recent being the[Advisor signup (Portland)](/untitled/partners-contexts-trials/the-life-you-can-save-tlycs/advisor-signup-portland.md) city-level YouTube test. There are a number of additional proposed trials and tests, however, at the moment these considerations are limited to the private Gitbook.
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Note that in the past TLYCS has worked with the Graduate Policy Workshop School of Public and International Affairs at Princeton University, who produced the ['Behavioral Insights to End Global Poverty'](https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-Mf8cHxdwePMZXRTKnEE%2Fuploads%2Fgit-blob-f50d8b78d3244b5dc6ad32998a469ea2dc5ec4cd%2FBehavioral_insights_to_end_global_poverty_12-15.pdf?alt=media) report embedded below.
Quick takeaways from the "Princeton" report
(From 'summary'... the report authors' takes are given *except where italicized*)
* 5 key principles: choice architecture, social norms, empathy, overhead cost aversion, and anchoring
**Factual:**
* TLYCS demographics are predictable (White, Male, tech...)
* Donations cluster at the end of the tax year
**Pages and promotion**
* Social media channel is promising
* The "Best charities" page underperforms: there is a high bounce rate
* *DR: Maybe because Givewell etc do better at this?*
* "Visual presentation of charities does have an effect
* *DR: Not clear how this is causally identified*
* Ran "social media tests' they claim are underpowered.
* *DR:* but these could be analyzed with Bayesian methods for actionable insights
* They suggest simplified presentation/navigation, and a 'decision tree quiz' to reduce cognitive load
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