HOW IT WORKS

5. HOW IT WORKS The REGs generate a sequence of bits of information. They take samples from quantum-level electronic noise like static hiss, and convert it to an unpredictable sequence of ones and zeroes. A program on each host computer reads data from the REG, stores it locally, and at 5-minute intervals sends new data over the Internet for archiving on a server in Princeton. The Global Consciousness Project A GLOBAL NETWORK of random sources shows deviations linked with events that affect millions of people. The results challenge common ideas about the world, but independent analyses confirm the unexpected behavior, and also indicate that it cannot be attributed to ordinary physical forces or electromagnetic fields. The Global Consciousness Project (GCP) is an international collaboration created in 1998 to study the subtle reach of human consciousness in the physical world. We maintain a network of random event generators (REGs) with nodes in more than 50 locations, from Alaska to Fiji, on all continents, and in nearly every time zone. The world map on the right has a bright spot for each of the host sites. GATHERING DATA   Every second, each REG produces    a "trial" that is the sum of 200 bits, essentially equivalent    to flipping 200 coins and counting the heads.    The figures below show plots of the raw data:    1) The per-second trial values, with expected mean of 100    2) All data for 48 eggs during a full day, 15-min averages    3) A cumulative deviation trace of the data for each egg 48 REGs, 15-min blocks, Raw 48 REGs, 15-min blocks, Cumulative

6. PLOTTING RESULTS   The continuous datastreams from these instruments tend to depart from expectation when major "Global Events" stimulate a wide-spread coherence of thoughts and emotions. Three samples below show the composite or average of the individual cumulative deviation traces from data collected during such events. Random data generally wanders around the horizontal line at zero, while a consistent deviation resulting in a sloping trend indicates that something changed the output of our instruments. Event Description, Date N of REGs Resolution Chisquare DF Probability 1. Embassy Bombings, 7 August 1998 3 15-min 69.5 36 0.00066 ........ ........ ........ ........ ........ ........ 80. Terrorist Attacks, 11 Sept. 2001 37 1-sec 667.587 600 0.028 ........ ........ ........ ........ ........ ........ 120. EarthDance 2002, 12 October 2002 50 1-sec 592.809 600 0.575 121. Wellstone Crash, 25 October 2002 51 1-sec 625.338 600 0.229 122. Chechen Hostages, 26 Oct.r 2002 51 1-sec 604.693 600 0.439 Measuring Outcomes THE BOTTOM LINE   The table on the right shows a sampling of results from the database of 122 events for which formal predictions were made over the past four years. The overall odds are about one in a million that we are seeing just chance fluctuations. This figure shows the history of results over four years The trend (red line) should be horizontal for random data, but the positive slope indicates that something has affected the EGG network. The effect is small but reliable, so the outcome is highly significant. We don't yet know how to explain the subtle correlations between events of importance to humans and the GCP data, but they are quite clear. The results are evidence that the physical world and our mental world of information and meaning are linked in ways that we don't yet understand.

7. And again for last year. The pattern is replicated for the third time. Global Attention: Sharing New Year’s Eve All over the world, people celebrate the change to a New Year. Since 1998, we have recorded data from a network of physical random event generators (called “eggs”). Here we look at what happens at midnight around the world. The scientific prediction is that there will be a pattern of increased correlation among the eggs. We test for trends away from the expected “random walk”. We have learned to expect reductions in the variation across the eggs. The figures on this page almost speak for themselves. They are pictures of our engagement with each other. We predicted the same pattern for the following year. Then, for the infamous Y2K transition, we looked at a measure of the variability among the eggs and predicted it would decrease as we all focused on midnight. Variance Drop, Midnight, 1999-2000 In the first year, 1998-1999, we looked for a change in the average deviation, and compared Maxi- and Mini-celebration time zones. More at http://noosphere.princeton.edu

8. Global Emotion: Transfixed by Tragedy On September 11 2001, early in the morning, a network of physical random event generators (called “eggs”) took on a striking trend. By 8:45 the non-random behavior was unmistakable. It peaked at about 10:30 with odds against chance of a thousand to one. See the red trace below. Other measures also deviated from expectation on that day, creating an unmistakable pattern where there should be none. The eggs became linked across distance and time in some subtle way that we do not yet know how to explain. This is not a physical or electromagnetic effect. It’s not due to extraordinary mobile phone use, or saturation TV. It appears to be related to our profound engagement. On 9/11 the data showed extraordinary moments On 9/11 the data contained unique sequential structure On 9/11 deviations began that persisted for 2 days The jagged red line shows three days of a measure (squared cumulative deviation of variance) that represents the composite randomness of 37 eggs. On September 11, the data show clear structure where there should be none. More at http://noosphere.princeton.edu am am …………………………………………………………………………………………………………………..…….…………………. Normal range of variation am