Aggression in Dreams

Hitting, fighting, chasing, shooting, killing—these are not only common themes in the news each day, they are also recurrent features of our dreams at night. Few studies have focused specifically on aggression in dreaming, even though Sigmund Freud, the founder of psychoanalysis, claimed that “the inclination to aggression is an original, self-subsisting instinctual disposition in man” (Civilization and its Discontents, 1930). A combination of old and new methods of research can shed light on how this primal instinct plays out in our dreams.

Who Has Aggressive Dreams?

The Hall and Van de Castle system (1966) of dream content analysis has codes for three kinds of social interactions: friendly, sexual, and aggressive. Research using the HVDC system has suggested a few basic patterns in the frequency of aggression in dreams:

  • Men have more aggression, especially physical aggression, in their dreams than do women.
  • Women are more likely to be victims than initiators of aggression in dreams.
  • Children have more aggression in dreams than do adults, especially involving attacks by animals.
  • Older people have less aggression in dreams than do younger people.

Hundreds of studies have used the HVDC method over the past several decades, and their findings support the basic idea that aggression is an innate feature of human dreaming.

Why Do We Have Aggressive Dreams?

An additional perspective comes from using word search technologies to identify significant patterns of meaning in dream content. The Sleep and Dream Database (SDDb) has a template with a category for physical aggression, and a large collection of dreams to study for a specific theme like this.

The SDDb Baseline dreams are a good place to start—a set of 5,321 dreams (3,227 females, 2,094 males) that represent a composite portrait of dreaming in general (the reports were given in response to a question about “your most recent dream”). Although limited in many ways, the Baseline dreams offer an empirical basis for making comparisons across different sets of dreams. This can help in identifying trends and patterns that would be difficult to see otherwise.

Applying the word search category for physical aggression to the female Baselines, we find that 15.1% of the dreams include at least one word relating to physical aggression. Applying the same word search category to the male Baselines yields a result of 21.5% of the dreams with at least one reference to physical aggression. (The combined Baselines figure is 17.6%.) So this analysis confirms the finding of the HVDC system that men’s dreams, on average, seem to involve more physical aggression than do women’s dreams. The top ten words used in these dreams were the following: Hit, kill, fight, chasing, killed, shot, fighting, chased, war, shooting.

Turning to the dreams of individuals who have kept track of their dreams for a lengthy period of time, a great deal of variation appears in the frequency of physical aggression. For example, “Tanya,” a young woman, has a relatively high proportion of physical aggression in her dreams (25.4%, in 563 reports), about the same as “Lawrence,” an older man (25.7%, in 206 reports. Another young woman, “Jasmine,” has low physical aggression in her dreams (10.5%, in 800 reports), just like “RB,” an older man (11.8%, in 51 reports).

There is clear evidence that experiences with physical aggression in waking life can increase the frequency of its appearance in dreaming. The best examples are “Mike,” who served as a medic during the Vietnam War and whose collection of dreams includes a very high proportion of physical aggression (76.3%, in 97 reports). In the four sets of dreams from “Beverley” from 1986, 1996, 2006, and 2016, the first set has much more physical aggression (11.9%, in 253 reports) than in the other three (5.7%, in 687 reports), which accurately reflected her involvement in that earlier time period with a violent religious cult.

To help shed light on the role of culture in dreams of physical aggression, the SDDb also includes sets of dreams from non-Western people, which can be analyzed in the same way. For the Mehinaku people of the Amazonian rain forest, a collection of 383 dreams had 22.5% with at least one reference to physical aggression. For a group of Nepalese college students, their dreams (535) had 18.1% with a reference to physical aggression. Three groups of African church members reported dreams (142) with a 19% frequency of physical aggressions. These findings are close enough to the SDDb baselines overall figure of 17.6% to suggest that culture is not a decisive factor in this aspect of dream content.

Concluding Insights

Aggression appears to be a normal feature of human dream content, across different cultures.

Men seem to have more physical aggression in their dreams, although some women have high levels, too.

Dreams of physical aggression can accurately reflect actual aggressions in waking life, so an unusually high level of dream aggression, or a sudden change in dreams to a higher level of aggression, might be a therapeutically valuable sign.

Many dreams of physical aggression do not, however, reflect actual experiences of aggression. These dreams may use violence as a metaphor (e.g., a dream of physical attack as a metaphor of feeling emotionally vulnerable). They may reflect instances of fictional aggression (e.g., seen in a movie). They may be anticipations of violence that may happen at some point in the future (e.g. a threat simulation).

Aggression in dreaming can be viewed as an internal form of play-fighting—the most common form of play in the animal kingdom, and very frequent among humans, too. Play-fighting functions as a way of preparing for future challenges, and also for diminishing and defusing emotional tensions that can lead to actual violence. The same psychological dynamics of play-fighting seem to be operative in dreaming, too.

 

Note: this post first appeared in Psychology Today, May 31, 2021.

Dreams and Politics 2020: Preparing for New Research

To prepare for a new study of dreams during the 2020 U.S. Presidential election campaign, I am doing a brief review of my previous work in this area, to remind myself of what I have learned so far and what seems most important to investigate next.

I have been studying dreams and politics since 1992, and I’ve published several articles and a book documenting my findings up to now. Although I’m not the only scholar looking into these issues, I think it’s fair to say no one else has devoted more research effort towards illuminating the connections between people’s sleep and dream patterns and their political views in waking life. Perhaps everything I have found so far is wrong and misguided; hopefully I have at least clarified some of the right kinds of questions that should be addressed.

Guided by almost thirty years of experience, these are some of the questions I will be asking in 2020:

  •             In what specific ways are political beliefs, concerns, and issues reflected in dreams?
  •             How do people relate to politicians as characters in their dreams?
  •             Do liberals and conservatives sleep and dream differently from each other?
  •             Can dreams help people think more clearly and creatively about politics?
  •             Do dreams have special relevance for political progress on environmental issues?

I have several projects in the works aiming at gathering new data to help answer these questions. Many of these projects are collaborations with other researchers, which will hopefully expand the scope of the studies and open up new perspectives on this relatively unexplored area of dreaming experience. More on these projects soon….

Below is a list of my previous publications on this topic, with brief descriptions of the contents and findings.

 

Attitudes Towards Dreaming: Effects of Socio-Demographic and Religious Variables in an American Sample. (Co-authored with Michael Schredl.) International Journal of Dream Research 12 (1): 75-81.

https://journals.ub.uni-heidelberg.de/index.php/IJoDR/article/view/54314

Using data from a survey of 5,255 American adults, we looked at correlations between people’s attitudes towards dreaming and numerous demographic variables. We found an especially intriguing link between positive attitudes towards dreaming and high levels of concern about global climate change, one of the most prominent political issues in the world today. People who report little or no concern about climate change also tend to have negative attitudes towards dreaming.

 

Lucrecia the Dreamer: Prophecy, Cognitive Science, and the Spanish Inquisition (Stanford University Press, 2018)

https://www.sup.org/books/title/?id=27061

Lucrecia’s story is the most dramatic and well-documented case in history regarding the intersection of dreaming, politics, and prophecy. She was a young, illiterate woman in 16th century Spain whose prophetic dreams accurately foresaw a national catastrophe, and yet King Philip II ordered the Inquisition to arrest her on charges of heresy and treason. A vivid cautionary tale about what can happen when dreamers speak truth to power.

 

Three blog posts about Donald Trump, Hillary Clinton, and the 2016 election

https://bulkeley.org/199-dreams-donald-trump/

https://bulkeley.org/dreams-of-hillary-clinton-and-donald-trump/

https://bulkeley.org/dreams-of-the-2016-u-s-presidential-election/

These are reports on dreams I was gathering and analyzing during the 2016 U.S. Presidential campaign. Included are some dream reports grouped around thematic categories: friendliness with a candidate, anticipations, political disagreements, opposition to Trump, openness to Trump, and work & place. The study of 199 dreams specifically about Donald Trump involved a statistical analysis of the word usage in the dreams, and a comparison of the results with other kinds of dreams. Here is my conclusion: “To summarize these findings, it seems that when Trump appears as a character in people’s dreams, he does not disrupt the whole process; people continue dreaming more or less the way they typically do. But he does have a tangible and measurable impact on certain aspects of those dreams. A dream about Donald Trump typically involves fewer women and more talking, touching, and references to money and work. Men seem to become pacified around Trump in their dreams, while women seem to become more instinctually primed.”

 

A March 2016 blog post about “The Sleep Deprivation Hypothesis”

https://bulkeley.org/donald-trump-the-sleep-deprivation-hypothesis/

A response to media discussions about the then-candidate’s admitted lack of sleep, with psychological speculations about his public behavior in light of empirical research about the effects of chronic sleep deprivation.

 

Dream Recall and Political Ideology: Results of a Demographic Survey. Dreaming 22(1): 1-9.

https://psycnet.apa.org/record/2011-28147-001

Using data from a survey of 2,992 American adults, the study found a significant difference between political liberals and conservatives on questions of dream recall. People on the political left consistently reported higher recall on all types of dreams than people on the political right.

 

2008 Election Dreams: Barack Obama, Hillary Clinton, and John McCain

https://bulkeley.org/2008-election-dreams-clinton-obama-mccain/

A collection of blog posts about dreams gathered by Sheli Heti and posted on her metaphysicalpoll.com website. The Obam dreams in particular are notable for their unusually mystical qualities.

 

2008 Dreams Shed Light on Obama’s Values. San Francisco Chronicle (August 17)

https://www.sfgate.com/opinion/article/Dreams-shed-light-on-Obama-s-values-3272948.php

Reflections on the two fascinating dreams then-candidate Barack Obama described in his memoir Dreams From My Father, with psychological speculations about the future potentials of his Presidency.

 

American Dreamers: What Dreams Tell Us about the Political Psychology of Conservatives, Liberals, and Everyone Else (Beacon Press, 2008)

https://www.beaconbroadside.com/broadside/2008/04/unravelling-mea.html

This is a book-length study of dreams and politics in American society during 2006-2007. A group of ten people from various parts of the country, six of them political conservatives and four liberals, kept a year-long journal of their dreams, which they discussed with me in relation to their political views and the dire situation of the country at that time (Iraq and Afghanistan wars, housing crisis, impending recession). The book offers a summary of the research I had done on this topic so far.

 

Sleep and Dream Patterns of Political Liberals and Conservatives. Dreaming 16(3): 223-235.

https://psycnet.apa.org/record/2006-11853-006

Using data from a collection of detailed surveys from 234 American adults (134 liberals, 100 conservatives), several patterns emerged in relation to their sleep and dream behaviors. Here is what I found: “Conservatives slept somewhat more soundly, with fewer remembered dreams. Liberals were more restless in their sleep and had a more active and varied dream life. In contrast to a previous study, liberals reported a somewhat greater proportion of bad dreams and nightmares. Consistent with earlier research, the dreams of conservatives were more mundane, whereas the dreams of liberals were more bizarre.”

 

Dreaming in Christianity and Islam: Culture, Conflict, and Creativity (co-edited with Kate Adams and Patricia M. Davis) (Rutgers University Press, 2009)

https://www.rutgersuniversitypress.org/dreaming-in-christianity-and-islam/9780813546100

This is an edited book, written in the shadows of 9/11, as an effort to find common ground across religious and national differences. We started the project in the early 2000’s, and it took a long time to pull all the different chapters together. Patricia wrote a brilliant chapter on a significant auditory dream of Martin Luther King, Jr., his “vision in the kitchen” of 1956.

 

Dreaming of War in Iraq: A Preliminary Report. Sleep and Hypnosis 6(1): 19-28.

http://www.sleepandhypnosis.org/ing/Pdf/d2b0fb2ad2c247cab33ccd64a45d737f.pdf

A study of dreams related to the U.S. invasion of Iraq, which began on March, 19, 2003. The dreams I gathered came from various sources, and I grouped them into several thematic categories: personal symbols, op-ed commentaries, political transformations, empathetic identifications, and fearful anticipations.

 

The Impact of September 11 on Dreaming. (Co-authored with Tracey L. Kahan.) Consciousness and Cognition 17:1248-1256.

https://www.sciencedirect.com/science/article/pii/S1053810008001141

During the fall quarter of 2001, Prof. Tracey Kahan was teaching a class at Santa Clara University on sleep and dreaming, and she had asked the students to keep a dream journal during the quarter. After the terrorist attack of September 11, 2001 in New York City, Tracey and I engaged in a study of the students’ journals. We found that the 9/11 attack appeared in several people’s dreams, both directly and indirectly. We also found that on all the basic measures of people’s cognitive functioning during their dreams, there was no difference between the dreams that did or did not have 9/11-related content. In other words, the terrorist attack impacted what people dreamed about, but not the way they dreamed.

 

Dream Content and Political Ideology. Dreaming 12(2): 61-78.

https://link.springer.com/article/10.1023/A:1015398822122

I called this a “pilot study,” involving 56 people, divided into four equal groups: liberal males and liberal females, conservative males and conservative females. I had a most recent dream from each person, and a content analysis of the dreams suggested an intriguing difference regarding political ideology: “people on the political right had more nightmares, more dreams in which they lacked personal power, and a greater frequency of “lifelike” dreams; people on the political left had fewer nightmares, more dreams in which they had personal power, and a greater frequency of good fortunes and bizarre elements in their dreams. These findings have plausible correlations to certain features of the political ideologies of people on the left and the right, and merit future investigation in larger-scale studies.”

 

It’s All Just a Bad Dream. San Francisco Chronicle (December 6): A27.

https://www.sfgate.com/opinion/openforum/article/It-s-All-Just-a-Bad-Dream-2723578.php

An Op-Ed article I wrote for the San Francisco Chronicle about people’s dreams during the agonizing wait to determine who would be the winner of the 2000 U.S. Presidential election, Al Gore or George W. Bush. Most of the dream reports I gathered were nightmares from liberals: “Aliens taking over the Earth and turning all humans into slaves; terrorists attacking the country with biological weapons; the dreamer falling into the ocean and being chased by a hungry shark or losing control of a car and driving off a cliff — these are some of the distressing images that are filling Democratic imaginations.”

 

Among All These Dreamers: Essays on Dreaming and Modern Society (Editor) (State University of New York Press, 1996)

https://www.sunypress.edu/p-2346-among-all-these-dreamers.aspx

This book gathers the best researchers I could find on the theme of dreams and social justice. Included are chapters on dreams in relation to education, sexual abuse, ecology, crime, race, gender, religion, and cross-cultural conflict. In chapter 10 I present a report on my first direct research project devoted to dreams and politics: “Political Dreaming: Dreams of the 1992 Presidential Election.” The chapter describes several dreams about the 1992 candidates (Ross Perot, George H.W. Bush, Bill Clinton), the debates, the media coverage, voting, and all the fears, hopes, and disappointments surrounding the election. The goal of this project was to prove Calvin Hall wrong in his claim that dreams “have little or nothing to say about current events in the world of affairs” (The Meaning of Dreams, 1966).

 

Visions of the Night: Dreams, Religion, and Psychology (State University of New York Press, 1999)

https://www.sunypress.edu/p-3023-visions-of-the-night.aspx

The final chapter of this book is titled “Dreaming in Russia, August 1991,” an essay originally published in the Stanford University alumni magazine. It recounts my waking and dreaming experiences at a conference of dream researchers in Moscow, right in the midst of the failed military coup against Mikhail Gorbachev, which precipitated the fall of the Soviet Union.

 

The Quest for Transformational Experience: Dreams and Environmental Ethics. Environmental Ethics 13(2): 151-163.

https://www.sunypress.edu/p-3023-visions-of-the-night.aspx

One of the first articles I ever published, this also appears as chapter 5 in Visions of the Night. In response to environmental philosophers who point to Western dualistic thinking as a primary source of our society’s mistreatment of nature, I suggest that dreaming is a psychologically innate and highly effective means of stimulating the transformation of dualist thought and the opening of new conscious awareness towards the environment.

 

Dreaming in a Totalitarian Society: A Reading of Charlotte Beradt’s The Third Reich of Dreams. Dreaming 4(2): 115-126.

https://psycnet.apa.org/buy/1994-43941-001

This was based on a paper I wrote for a graduate seminar at the University of Chicago Divinity School, perhaps in 1988 or 1989. The course was taught by Peter Homans, and it focused on the neo-psychoanalytic theories of D.W. Winnicott and Heinz Kohut. I had been reading The Third Reich of Dreams on my own, and for the final paper of the class I used Winnicott’s ideas about play, transitional space, and the True vs. False Self, to analyze and reflect upon the dreams gathered in Beradt’s book. Here was my core Winnicottian claim: “Dreams are one of the ways that humans, from childhood to adulthood, develop the relationship between their inner psychic reality and external social reality. Beradt suggests that dream studies can be a potent means of studying troubled societies, and of helping those societies overcome their problems.”

Reflecting on my 2018 Dream Journal

The value of keeping a dream journal is inherent in the practice itself. Simply recording your dreams on a regular basis will increase your dream recall, deepen your self-knowledge, and help you maintain emotional balance in waking life. You can enjoy these benefits even if you never look back at your journal after recording each dream.

But if you do have the opportunity to look back and review your journal over a period of time, you can learn some amazing things about yourself and the world in which you live.

I’ve been keeping a dream journal for more than 30 years, and the discoveries never stop coming. I study my journal both for personal insight and for new ideas to explore in my research with other people’s dreams. At the end of each calendar year I go back over the last 12 months of my dreams to explore the recurrent patterns and themes, using the word search tools of the Sleep and Dream Database (SDDb) to make an initial survey. This year’s review provides an incredibly accurate portrait of my concerns and interests in waking life, and gives me lots of inspiration for new research to pursue.

The results of the initial word search analysis are presented in the table in the previous post. I compared the results of my 2018 dreams with my dreams from 2016 and 2017. I also compared them with the male and female “baselines.” The baselines are two large collections of dreams gathered by various researchers to provide a source of “normal” dreaming in the general population. (I describe the baselines in more detail in my Big Dreams book.)

To analyze these dreams I used the SDDb 2.0 template of 40 word categories in 8 classes, listed in the lefthand column. The percentages to the right of each category indicate how often a dream in the given set includes at least one reference to a word in that category.

In 2018 I remembered one dream each night, as I did in 2016 and 2017. The average length of the dreams increased during this time (102 in 2016, 111 in 2017, 116 in 2018). This suggests the word search results will tend to be a little higher in the 2018 set, just because there are more total words to search. This will also be true in comparisons with the baseline dreams, which have an average length of 100 words (females) and 105 words (males).

Keeping that in mind, the 2018 dreams had more references to vision and color than previous years, while other sensory perceptions (hearing, touch, smell & taste) stayed the same. The table doesn’t show it, but the most frequently mentioned colors in my 2018 dreams were white, black, green, gray, and blue.  For both of these categories (vision and color), my dreams have many more references than either the male or female baselines.

The emotion references in the 2018 dreams are pretty similar to 2016 and 2017. I have much more wonder/confusion than the male and female baselines, and somewhat more happiness.

The 2018 dreams have a rise in references to family characters, and to females generally. The frequencies of references to animals, fantastic beings, and males are quite steady from 2016 to 2018. Compared to the baselines, my family references are still rather low, my animal references are high, and my female references are very high.

The three categories of social interaction—friendliness, physical aggression, and sexuality—are all steady from 2016 to 2018. The sexuality frequencies are somewhat higher than the baselines.

The frequencies of my 2016-2018 dreams and the baselines are all similar on the categories of walking/running, flying, and falling. My dreams have fewer references to death than the baselines.

The cognitive categories—thinking, speech, reading & writing—are consistent across 2016-2018, with higher frequencies of thinking than the baselines.

The cultural categories are also remarkably consistent from 2016 to 2018, with a slight rise in references to food & drink and art.  Compared to the baselines, my dreams have fewer references to school and more to art.

Of the four elements, the frequencies of fire and air are consistent in my 2016-2018 dreams and the baselines. My dreams have more references to water and earth.

This kind of analysis is quite superficial, of course. It ignores personal associations, narrative flow, and all the subtle qualities of dreaming that can’t be captured in numbers.  That’s true, and yet it’s also true that a well-crafted word search analysis can reveal some fascinating themes that are both accurate and thought-provoking.

One of the most striking results of this initial analysis is the remarkable consistency over time of most of the word categories. There are a few significant changes, which I’ll discuss in a moment. But those changes are more dramatic when set in the bigger context of strong consistency across word categories as diverse as air (3% in 2016, 4% in 2017, and 4% in 2018), touch (12, 11, 13), anger (7, 8, 8), fantastic beings (4, 4, 3), physical aggression (16, 17, 17), flying (7, 6, 7), and clothing (18, 19, 21). As wild and unpredictable as individual dreams may be, in the aggregate they seem to follow steady long-term patterns.

Against that background of consistency, the changes that do occur over time are all the more intriguing.

The rise in references to vision and color from 2016 to 2018 seems related to the lengthening of my dream reports over this time. As my reports get longer, I apparently need to use more vision and color words to describe what happens in each dream.

The rise in references to family characters might be a return to a more “normal” ratio of family in my dreams. The family frequencies in 2016 and 2017 are actually the lowest I’ve ever had (extending the comparison back to 2010), so 2018 may be a bounce-back year. This would make sense in relation to my waking life: 2016 was the beginning of the “empty nest,” when the last of our children moved out of the house.

The rise in references to female characters is the most intriguing. The references to male characters stayed mostly the same from 2016 to 2018 (47, 44, 43), so the 2018 increase in female references leads to a big gender gap (59% female vs. 43 male). The baselines actually have slightly higher frequencies of male references vs. female references, so the variation in my 2018 dreams is even more unusual.

What might account for this change? My first thought is political. American society, as I currently perceive it, is dominated by destructive masculine energies, and change is only going to come once we bring more women to positions of power. I’m trying harder than ever in waking life to listen to female voices, and that intention may have influenced the patterns of my dreaming.

Two other features of the analysis pique my curiosity.

One is the rise of references to art over 2016-2018 (7, 14, 15), which I believe correlates with my increased participation as a board member of the Oregon Shakespeare Festival. I wonder if other people who become more involved with an artistic group or practice also experience a rise in their dreams about art. I also wonder if my rise in art references might be connected to my higher frequencies of vision and color.

The other feature I’d like to explore further is the consistently low frequency of references to religion during all three years (3, 4, 3). This might seem odd since I have two graduate degrees in religious studies, and I’ve written several books about religion. But at the same time I never attend church, and I don’t belong to any religious group or denomination. My dreams seem to reflect the latter reality, my personal behavior rather than my scholarly pursuits.

In a recent survey that I’ve been analyzing with the help of Michael Schredl, we asked people to choose one of the following categories to describe their religious identity—Protestant, Catholic, Eastern Orthodox, Jewish, Muslim, Hindu, Buddhist, Mormon, Agnostic, Atheist, Nothing in Particular, and Something Else. I would definitely categorize myself as “something else”—not one of the religious identities, but not one of the non-religious identities, either. And it turns out (previewing the statistical findings Michael and I will soon publish) that people who identify religiously as “something else” have the highest interest in dreams compared to other groups. This makes me more curious than ever to understand the beliefs of people who religiously identify as “something else,” and how those beliefs relate to their attitudes towards dreaming.

I’m left with a final question, which will guide me in 2019: To what extent do these patterns reflect the past, and to what extent do they map the future?

####

This post first appeared in Psychology Today on February 5, 2019.

1,001 Nights of Dream Recall

Between January 8, 2015 and October 4, 2017, I remembered and recorded a dream every night for 1,001 consecutive nights.  Now I’m studying the dreams and trying to find insights that can help in exploring the dream series of other people.  I don’t expect anyone to accept my personal dreams as conclusive evidence for any general theory of human dreaming.  Instead, I offer them as way of being transparent about the experiential grounding of my research pursuits.  This is one of the ways I get ideas for new projects.

All of the dreams are available online for further study in the SDDb, in the “Sample Data” section.

From a scientific perspective, the value of an introspective project such as this is to generate working hypotheses for future studies.  Trying to study another person’s long diary of dreams can be very challenging, especially at the outset when the researcher is facing a huge mass of texts with multiple dimensions of meaning.  I appreciate anything that can provide some initial orientation and help to steer the direction of the analysis.  By studying my own dreams, which I know from both a first- and third-person perspective, I can quickly and easily identify some patterns of meaning that seem worth further exploration.   Maybe they will apply to someone else’s dream series, maybe they won’t; either way, it helps the analytic process get going.

Remembering and Recording the Dreams

The method I use for keeping my dream journal is fairly typical.  I keep a pad of paper and a pen by my bedside, and when I wake up in the morning I immediately write down whatever dreams I can remember, before getting out of bed or turning on the light.  Then later in the morning I type the dream into a digital file, along with associations, memories, and thoughts about what the dream might mean.

During the three years of recording this series of 1,001 dreams, I did my best to wake up slowly each morning, so the images and feelings from the preceding dreams could coalesce in my memory.  I don’t believe I dreamed more during this time than I did in previous periods of my life; rather, I devoted more energy to remembering the wispier, more evanescent kinds of dreams that, in previous years, had not crossed the threshold into waking memory.  I made a more determined effort to protect the space around the transition from sleeping to waking, even during circumstances when that was difficult to do (e.g., on international plane flights, during family holidays).  Often it took a few moments of quietly lying in bed with my eyes closed before the vague feeling “I know I was just dreaming,” could eventually take form into a specific memory of what I was just dreaming about.  Often there were “aha!” moments when suddenly a whole long dream came back to me, which I surely would have forgotten if I had immediately leapt out of bed upon awakening.

I also put more conscious intention into the other end of the transition, from waking into sleeping, as I carefully set up my journal and pen each night before turning out the light.  I did not set specific dream incubation questions during this time, but simply tried to signal to myself that I was ready and willing to record whatever dreams might come during that night’s sleep.

These were not extreme or burdensome behaviors; they required consistency of purpose, but no heroic feats of will.  I never set any long-term goals or numerical targets.  Instead, I just focused on each new night and each new dream, figuring the time would come when I could survey the series from a broader perspective.

About a month ago I finally did the math, and realized that October 4th would mark 1,001 nights of dream recall in a row, an enchanting milestone.  This seemed like a large enough collection of dreams to pause, look back, and see what I could learn.

Patterns of Word Usage

The reports comprise a total of 93,050 words, with an average length per dream report of 93 words, and a median length of 73 words.  The shortest dream in the series has 9 words, and the longest has 728 words.  The average length of these dreams is not unusual, compared to other people whose dreams have been analyzed in this way.  Some people have much longer dreams than I do, and some people have much shorter dreams.  This series of 1,001 dreams, then, includes mostly dreams of middling length.

To highlight the patterns and themes in a series like this, I start by comparing it to what I call the “SDDb baselines,” two large collections of male (N=2,135) and female (N=3,110) dreams that have been systematically gathered and analyzed using a template of 8 classes and 40 categories of word usage.   I use the baselines a measuring stick for identifying possible continuities and discontinuities between the dreams and the individual’s waking life.

The results of this comparative analysis are presented in an accompanying spreadsheet, “1001 Nights Data.”  Some of the discussion below draws on an earlier analysis I wrote about an overlapping set of my dreams.

In relation to the SDDb baselines (an average of 100 words per report for the females and 105 for the males), my dreams are a little shorter than average (93 words per report).  The results for each of the 8 classes of word usage are summarized below.  Compared to the male and female baselines, my 1,001 dreams have:

  1. Perception: More references to vision and colors.
  2. Emotion: Many more references to wonder/confusion, and more to happiness.
  3. Characters: Fewer references to family characters (although the word “wife” is mentioned very frequently), more references to animals (especially cats), and slightly more references to females than males.
  4. Social Interactions: Slightly more references to sexuality.
  5. Movement: Fewer references to death.
  6. Cognition: More references to thought, fewer to speech.
  7. Culture: Fewer references to school, food/drink, religion, somewhat more to sports (especially baseball and basketball).
  8. Elements: More references to water, somewhat more to earth.

These findings provide the basis for a “blind analysis,” which means making predictions about continuities between these patterns of word usage in dreaming and the individual’s waking life activities, beliefs, and concerns.  If I pretend I knew nothing about the dreamer of these 1,001 dreams, and I only had these word usage frequencies to consider, I would infer this individual:

  1. Is visually oriented
  2. Often experiences wonder/confusion
  3. Is relatively happy
  4. Is married
  5. Cares about cats
  6. Has fairly equal relations with men and women
  7. Is sexually active
  8. Is not concerned about death
  9. Is not highly verbal
  10. Is not highly involved with schools
  11. Is not highly concerned about food/drink
  12. Is not highly concerned about religion
  13. Has lots of interactions with water and earth

Most of these inferences—I’d say 11 of 13—are unmistakably accurate in identifying a continuity between a pattern of dream content and an aspect of my waking life concerns.  The two I would question are numbers 10 and 12.  Regarding the low frequency of dream references to school, I do in fact engage in a great deal of teaching and educational work, but it’s almost entirely online, and I rarely set foot inside a traditional school any more.  Also, I no longer have school-age children living at home.  So it seems my dreams are continuous with my physical behaviors relating to schools, but not with my computer-mediated educational activities.

Regarding the low frequency of religion references, I most certainly do have great interest in religion, going back to my masters and doctoral studies at the Divinity Schools of Harvard and University of Chicago.  So the inference seems very wrong at this level.  And yet, at another level it seems more accurate.  I was not raised in a religious household, I do not personally identify with any official religious tradition, and I rarely attend religious worship services.  Compared to other people I’ve studied with very high frequencies of references to religion in their dreams, I am a much less personally pious person.  Perhaps what this suggests is that the dreams are accurately reflecting the fact that religion may be an important intellectual category for me, but it is not a personal concern.  My spiritual pursuits are more likely to be expressed in dreams with references to other word categories like water, art, sexuality, animals, and flying.

Shorter versus Longer Dreams

Earlier this year I looked at different set of my dreams to get some idea about possible differences between shorter and longer dreams.  This question rose in relevance when I realized, as noted earlier, that my increased recall seemed to depend in part on the recollection of relatively shorter dreams that in the past I did not fully remember or write down.

There were two main findings of that earlier study.  First, most of the patterns in content appeared in dreams of all lengths, from the shortest (less than 50 words per report) to the longest (more than 150 words per report).  Here’s a summary of what I found:

“The results of this analysis suggest that shorter dreams are not dramatically different from longer dreams in terms of the relative proportions of their word usage.  The raw percentages of word usage do rise from shorter to longer dreams, of course, but the relative proportions generally do not.”

Second, the longer dreams did have proportionally more references to a few word categories, chiefly Fear, Speech, Walking/Running, and Transportation. Another quote:

“These are the word categories that seem to be over-represented in longer dreams.  They are significant contributors to what makes long dreams so long.”

Returning to the present collection of 1,001 dreams, I divided the series at the median point into two groups: the shorter dreams (72 words or less, 500 reports total) and the longer dreams (73 words or more, 501 reports total).  I used the same SDDb word searching template with each of the two groups as I used with the full series, and then I compared their frequencies of word usage.  The biggest variations between the shorter and longer dreams appeared in the following categories:

  • Touch
  • Fear
  • Anger
  • Physical aggression
  • Walking/Running
  • Speech
  • Transportation
  • Water

This list adds a few other categories that may be characteristic of longer dreams.  Each of these categories has a dynamic quality.  Touch is a physical interaction.  Fear and anger are strong and unpredictable emotions, usually prompted by something in the external environment.  Physical aggression combines the previous categories (touch, fear, anger) and possibly intensifies them.  Walking/Running and Transportation both involve physical movement from one place to another.  Speech implies a context of interpersonal communication, people talking with each other.  Water, the “universal solvent,” is ever-shifting in its states (gas, liquid, solid) and its movement through human life.

When these elements appear in my dreams they seem to have the effect of expanding the range of experience, stimulating more interactions, and lengthening the narrative.

Conclusion

I don’t know if any of this applies to anyone else’s dreams.  I do, though, believe that several of the insights gained here can provide working hypotheses for studying other series of dreams.  I will be keeping these ideas in mind as I explore new dream series:

  • The recall and recording methods of the dreamer influence the types of dreams included in the series.
  • Personal relationships are an area of especially strong continuity between waking and dreaming life.
  • The use of religion-related words in dreams may be discontinuous with spiritual interests in waking life.
  • Shorter dreams have mostly the same general proportions and patterns of content as found in longer dreams.
  • Longer dreams tend to include more dynamic elements.

 

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Notes:

The accompanying spreadsheet can be found here:

https://www.academia.edu/35024762/1001_Nights_Data.xlsx

More description of the SDDb baselines can be found in Big Dreams: The Science of Dreaming and the Origins of Religion (New York: Oxford University Press, 2016).

The earlier study of short versus long dreams can be found here:

Short vs. Long Dreams: Are There Any Differences in Content?

 

The Distinguishing Features of Big Dreams

If someone presented you with two sets of dreams, one of most recent dreams and one of highly memorable dreams, you could predict with a high degree of confidence which type of dream was in which set, based only on word usage frequencies.

The set with more references to flying, air, family, animals, fantastic beings, Christianity, and death is more likely to consist of highly memorable dreams.

This is a testable hypothesis that emerges out of a comparison of the SDDb baselines for most recent dreams (MRDs) and highly memorable dreams (MemDs), available here.  To be clear, it’s a prediction of probability, not certainty.  Some highly memorable dreams have none of these elements, while some most recent dreams have several of them.  But according to the SDDb baselines, it is the statistical tendency of highly memorable dreams to contain significantly more of these elements than we generally find in most recent dreams.

Whether or not this hypothesis has any practical application, it adds new evidence in support of the theoretical claim that dreams are meaningfully structured not just for the individual dreamer but also in relation to each other.  There really are different types of dreams, and their differences can be expressed in increasingly precise terms.

Other researchers such as Harry Hunt and Don Kuiken have proposed psychological models to account for different types of dreams (what Hunt calls “the multiplicity of dreams”).  I am not yet at the point with the SDDb baselines to feel comfortable engaging directly with their approaches, but that is definitely a long-term goal.

At this stage I want to look more closely at the higher-frequency MemD elements and try to understand what they might contribute to the dreams’ long-term impact on waking awareness.

Flying: Not all dream references to flying involve magical powers–some relate to the flight of birds, or flying on airplanes, or floating in water, or time “flying” by.  But many of the references are indeed about people flying magically, and I think it makes good sense that overall, MemDs have significantly more flying references than MRDs.  I would be surprised if it were otherwise, based on the recurrence of magical flying dreams through cross-cultural history.  Genuine flying dreams tend to be quite vivid and realistic, and it’s reasonable to assume that such unusually stimulating sensations would make a lasting impact on waking awareness.

Air: Some of the air references occur in flying dreams, but in most MemDs the air references appear in different contexts: the dreamer is struggling to breathe, or facing a tornado, or noticing the wind blowing.  I don’t know about dreams of wind, but certainly with dreams of tornados and potential suffocation the memorability of the experience is likely to be very high.  A tornado is the most powerfully destructive form of air in nature, and suffocation is a perennial threat to human life, perhaps especially in sleep for people who snore or have apnea.

Family: References to family members appear often in MRDs; they appear even more often in MemDs.   I think it’s fair to say that most people’s strongest emotional relationships (both positive and negative) are with family members.  Thus it makes sense that their appearance in a dream correlates with high memorability.  Looking in more detail at the word search results, references to parents (e.g., mother, father, mom, dad) tend to be the highest, suggesting that dreams in which the individual is cast as a child or in a child’s role are more likely to be memorable.

Animals: Based on any of several different theories (psychoanalytic, developmental, evolutionary), it could be expected that MemDs would have a higher proportion of animals than MRDs.  Psychoanalytically, animals symbolize powerful instinctual energies. Developmentally, animals appear more often in children’s than in adults’ dreams, and MemDs are often recalled from early in childhood. In evolutionary terms, animals in dreams may reflect ancestral threats that we are innately primed to notice and remember.

Fantastic Beings: This category by definition includes characters who are not “real,” so their appearance in dreams naturally arouses some degree of heightened awareness and emotional impact.  Many of them are perceived as extremely frightening and dangerous to the life of the dreamer.  I was surprised by the SDDb baseline results that the MemDs do not have more fear-related emotions than the MRDs, but perhaps what makes some MemDs different is the supernatural source of the fear. There is a connection to be made here with the notion of “minimally counterintuitive supernatural agents” as used in the cognitive science of religion–dreaming is a rich experiential source of people’s religious and spiritual beliefs about such beings.

Christianity: Many references to Christianity in both MRDs and MemDs are relatively trivial references to Christmas, or mild oaths, or a person’s name.  But more often in the MemDs there are direct references to interactions with Jesus, battles with demons, visiting heaven, and worshipping in church.  In a majority-Christian country like the U.S., where all the SDDb baseline participants reside, this seems like an expectable result.  Insofar as Christianity, like most religions, is concerned with deep questions of morality, suffering, and faith, any dream that refers to religious teachings is likely to register more memorably in the dreamer’s awareness.

Death: Whether considered in religious or secular terms, death surely counts as a major existential concern of human life.  Dreaming itself has long been mythologically associated with death, and cultural traditions all over the world have stories about dreams as a portal to the afterlife.  In MemDs the theme of death takes many forms: other characters dying or being killed right in front of the dreamer, dead relatives appearing as if alive (i.e., visitation dreams), and, more rarely, the dreamer him or herself dying.  When the prospect of mortality arises in a dream, it’s not surprising that the individual takes notice and remembers.

What do these seven higher-frequency MemD elements have in common?

For one thing, several of them involve “counter-factuals,” i.e., phenomena that are literally impossible in ordinary waking life.  Magically flying in the air, encountering fantastic beings, seeing people who are dead appear as if alive–these are strikingly anomalous experiences that stand out from ordinary life and make a big impression on memory.

Secondly, several of the MemD themes involve dire threats to the individual’s life and well-being.  Dreams of death, demons, monsters, wild animals, suffocation, and tornados naturally arouse a host of psychological and physiological responses that can literally seize the dreamer’s attention and hold it long after waking.

Thirdly, a few MemD themes relate closely to the prominent themes of children’s dreams generally, with more animals and higher family references.  As I noted earlier, the SDDb baseline for MemDs includes numerous childhood-era dreams reported by children and adults, so it is definitely skewed toward children’s dream content.  That means the differences between MRDs and MemDs could be explained as artifacts of the differences between adults and children.  I grant there will be a large degree of overlap between highly memorable dreams and children’s dreams–precisely because the most memorable dreams people often recall are dreams from childhood.

Not all children’s dreams are big dreams–but many big dreams are dreams that have been remembered from childhood.