COVID-19: What Nonprofits Should Do Right Now

What Nonprofits Should Do Right Now

Assess your situation

While still early days in the U.S., COVID-19 is already looking like a long, wild ride with far-reaching impact on the nonprofit sector. The disruptive effects from this pandemic are different than what nonprofits have faced in the past. Natural disasters are bound by geography and a recession is contained to the market, but a pandemic cuts across all sectors. Revenue loss is defined not by source of funding but tied to people gathering to receive or enjoy the services of our nonprofits. Organizations called to serve those who are hungry, are in need of shelter, or are in search of healthcare face exceptional challenges. They have to manage increases in demand amid constrained capacity, concerns for the health and safety of staff and clients, and availability of workers who don’t have the privilege of working remotely or who are unable to both work and care for children who are home because of school and day care closures.


People who second-guess themselves make worse decisions, study finds

By : Christopher Ingraham
Jan. 6, 2020 at 5:00 a.m. PST

“Trust your gut.” It’s something we’ve all heard (and probably even expressed at one time or another), an exhortation to not overthink decisions in realms as diverse as business, sports, dating and politics.

But is it actually good advice?

In a new paper published in the Journal of Behavioral and Experimental Economics, a trio of British economists applied some brainpower to the question of gut feelings and found that people who second-guess themselves make considerably worse decisions than those who stick with instinct. The researchers focused on prediction accuracy in sports betting but said their findings would apply in any realm where people have to make educated guesses about the future.

The economists gathered data on 150 users of a popular sports betting and prediction website. This was a representative sample of a subset of bettors vying to predict outcomes for all 380 soccer matches in the English Premiere League during the 2017-2018 season.

The final data set consisted of 57,000 individual predictions, each consisting of a user’s best guess of the final score of a given match. Users were called on to predict scores and could revise their forecasts up to the minute the match started.

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Revisions were infrequent: Only 6 percent changed their predictions, with the typical user revising 15 out of 380, and most of those occurred within minutes of the initial forecast. The authors speculate that in such cases, users typed in a prediction and looked up some relevant information on the match before quickly changing their mind. But there also were a number of instances involving large segments of time — days, even weeks — between prediction and revision; such bettors waited nearly two days, on average, to switch gears.

The researchers specifically wanted to know whether the revisions were more accurate than the originals.

In theory, there are a lot of reasons to believe this might be the case. A person would presumably revise a prediction after obtaining new information, such as an analyst’s match forecast or a team roster change.

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In practice, however, the opposite was true: Revised forecasts accurately predicted the final match score 7.7 percent of the time. But the unaltered forecasts were correct 9.3 percent of the time. In other words, revised forecasts were about 17 percent less accurate than those that had never changed. “Game players would have been better off sticking with their first judgments rather than ever revising,” the authors write.

So where did the second-guessers go wrong? For starters, the researchers controlled for match-to-match and player-to-player variation — it isn’t likely the case, in other words, that matches receiving more revisions were more difficult to predict, or that bad guessers were more likely to revise their forecasts.

The researchers found that revisions were more likely to go awry when forecasters dialed up the scores — by going, say, from predicting a 2-1 final score to 3-2. Indeed, across the data set, the bettors systematically underestimated the likelihood of a 0-0 draw: an outcome anticipated 1.5 percent of the time that actually occurs in 8.4 percent of matches.

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That suggests a general forecaster bias toward scoring as opposed to nonscoring — or, more broadly, toward things happening rather than not. Few people, after all, watch a soccer match and hope that nobody scores.

One final, tantalizing piece of evidence: Forecasts revised after a longer period of time were considerably less accurate than those changed within a few minutes. This suggests that overthinking it, or “over analysis” in economics parlance, was a key driver of the revised forecasts’ relative inaccuracy.

In the end, the authors write, their findings “could have relevance to other contexts where judgmental forecasting explicitly takes place and which have real economic importance, such as in company management and planning, financial markets and macroeconomic policy.”

For those of us not in the prediction business, the findings can be boiled down to a simple message: Trust your gut.

Metrics and Measurements for Travel Programs

By Caliopy Glaros, Philanthropy Without Borders

Every day there are nonprofits running travel programs for donors, board members, and volunteers, without having any metrics in place to determine the program’s success. We’re all very familiar with the metrics and measurements we use in our mission-related work (also called Monitoring & Evaluation), as well as the benchmarks and goals we set for fundraising (as outlined in the Development Plan). Yet travel programs, especially when they are not fully managed by one individual from one department, frequently fall into a grey area where they are not being measured.

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Three Kinds of Philanthropic Travel Programs

By Caliopy Glaros, Philanthropy Without Borders

While there can be a lot of variety in terms of structure, purpose, and implementation, most philanthropic travel programs tend to fall into one of three categories.

It is helpful to understand these categories and distinctions so that you can evaluate your organization’s current travel program and the associated benefits and challenges. For organizations who have yet to begin their donor travel program, getting a sense of what others are doing could be a helpful guide in determining where you want to head.

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