Water for Unity, Fuji Peace Prayer

The 12th annual Symphony of Peace Prayers (SOPP) ceremony took place at Fuji Sanctuary on May 15, 2016. Once again, thousands of people from across Japan and around the world gathered in the open-air sanctuary for this beautiful celebration of humanity’s oneness within its diversity.

This year, the theme of the SOPP was shaped by the Fuji Declaration’s Soul of WoMen Global Campaign. Celebrating the first anniversary of the Fuji Declaration, the campaign calls on women and men in communities around the world to activate the ‘divine feminine’ for a more balanced society. By bringing the feminine and masculine aspects of humanity into balance, we can free ourselves of prejudices and stereotypes, embracing all of humanity as one, so that we can fully ignite the divine spark within all of us.

Specific Hypothesis and Results

The GCP event was set for the 24 hour day of May 15 to accommodate gatherings and ceremonies in multiple places around the world, including Italy where special "Water for Life" celebrations complemented the Fuji gathering. The result is Chisquare 86687.570 on 86400 df, for p = 0.244 and Z = 0.693.

Interpretation

The following graph is a visual display of the statistical result. It shows the second-by-second accumulation of small deviations of the data from what’s expected. Our prediction is that deviations will tend to be positive, and if this is so, the jagged line will tend to go upward. If the endpoint is positive, this is evidence for the general hypothesis and adds to the bottom line. If the endpoint is outside the smooth curve showing 0.05 probability, the deviation is nominally significant. If the trend of the cumulative deviation is downward, this is evidence against the hypothesis, and is subtracted from the bottom line. For more detail on how to interpret the results, see The Science and related pages, as well as the standard caveat below.

Standard caveat

It is important to keep in mind that we have only a tiny statistical effect, so that it is always hard to distinguish signal from noise. This means that every success might be largely driven by chance, and every null might include a real signal overwhelmed by noise. In the long run, a real effect can be identified only by patiently accumulating replications of similar analyses.