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Book Review-Disenfranchised Grief: New Directions, Challenges, and Strategies for Practice

Even in the best of cases, grief is hard.  It’s harder when society doesn’t allow for your expression of grief.  In Disenfranchised Grief: New Directions, Challenges, and Strategies for Practice, Kenneth Doka collects perspectives on the concept he first raised.  He recognized that grief was blocked, or at least made more difficult, when society didn’t accept that you had the right to grieve.

Right to Grieve

The way we grieve is socially prescribed.  We get the opportunity to publicly express our bereavement through the rules that society allows.  However, for some, there is no right to grieve.  Doka formulated a set of conditions where societies didn’t allow for grief and therefore it was disenfranchised:

  • The relationship is not recognized – Whether the relationship is a loving gay couple or an extramarital affair, society doesn’t permit public grief when the relationship itself isn’t sanctioned.
  • The loss is not acknowledged – A mother grieves a miscarriage in private, because, to many, the loss isn’t a loss. She knows that she was carrying another life, but because the baby was never born, society may never accept the miscarriage as a loss.
  • The griever is excluded – Children and neurodivergent people may be deemed incapable of grief and therefore not allowed the space to grieve.
  • Circumstances of death – Sometimes, the circumstances of the death provoke anxiety or embarrassment, and therefore grief is denied to those who are impacted.

At the center of disenfranchised grief is the inability for the person to work through their loss in a socially acceptable way.  Therefore, in some cases, people are never able to work through their loss.

Loss Types

While disenfranchised grief mostly refers to the loss of death, this isn’t exclusively the case.  In some cases, the person may be suffering from a debilitating illness, like dementia or Alzheimer’s, and the result is that the person is no longer themselves – and are therefore lost to the griever.  Similarly, when people get healthy, their friends may find that they’re no longer the person they used to be.  Whether it is recovering from substance use disorder or it’s getting a divorce after a long struggle to make their marriage work, people aren’t sure that they’ll be the same – and they’re probably right.

In Change or Die, Alan Deutschman explains the impact of changing environments to get better results.  The implication is that the new post-recovery person is so different from the pre-recovery person that the people may not like it.  They may try to pull the person back into old habits to make themselves more comfortable.  Similarly, The Satir Model explains how family systems seek to return to equilibrium.  That return is often to try to undo the hard work of the member of the family system who has changed themselves.

Defining Terms

Before getting too far, it’s useful to get on the same page about the terms in use, since some are used rather indiscriminately as synonymous when their distinctions are important.

  • Bereavement – Loss.
  • Grief – A response to that loss.
  • Grief work – The work necessary to move through the pain of the loss.
  • Mourning – Social and cultural rules governing grief.

Reconstructing Meaning

Though David Kessler wants to lay claim to a sixth stage of grief and explain that it’s a part of the grief process, the idea that finding meaning is important to grief has been around for a long time.  (See Finding Meaning.)  Building on Kubler-Ross’ work, which loosely describes five stages, the sixth stage of finding meaning seems like a reasonable addition.  (See On Death and Dying for Kubler-Ross’ work.)  Doka refers to others who have been concerned with finding meaning for a long time.  By referencing Neimeyer’s work, he points to work that questions both the sequential nature of Kubler-Ross’ stages and adds the need to address finding meaning.  Finding meaning is also a key part of Calhoun and Tedeschi’s work on posttraumatic growth.  (See Posttraumatic Growth and Transformed by Trauma for more.)

Folkways and Mores

While folkways are “durable, standardized practices regarded as obligatory in the proper situation, but not absolutely obligatory,” mores are much more serious.  It reminds me of the distinction made in How Good People Make Tough Choices between ethical dilemmas and moral temptations.  One may not agree with a decision made when confronted with an ethical dilemma, but they can understand it.  Failure to stand up to moral temptations results in much less empathy.  Mores are more likely to be codified into laws – even if they’re only civil infractions – than folkways.

A young, unwed mother loses her baby to illness, and her church doesn’t support her because of a concern that if they were to support her now, they’d be sanctioning her premarital sexual activity.  (Ignoring for a moment that it’s a failure to understand what Jesus said.  See Heroic Leadership for more about the kind of people we’re supposed to be.)  Because of the stigma associated with being an unwed mother, they believe that grieving isn’t available to her.  (See Stigma for more on stigma.)

Their Discomfort

Hiding behind these social mores is often a sense of discomfort that society feels.  We don’t talk about death, because it’s uncomfortable.  (See The Denial of Death and The Worm at the Core.)  We don’t speak of divorce, because it makes us uncomfortable (See Divorce and Anatomy of Love.)  When we grieve publicly, I believe it makes people uncomfortable for two key reasons.  First, they don’t know how to fix it – because it’s unfixable.  Second, they recognize that they’ve denied some of their desire to grieve in current or previous situations, and they silently wish they had the opportunity to.

Option B elevates awareness of how sometimes the circles of grieving can get confused.  Those most impacted are being asked to help soothe the feelings of those who were less related – in a way that’s backwards to how it should work.  We should be supporting those who have the greatest connections, but it doesn’t always work that way.

Changes

Those who have disenfranchised grief often suffer, because they’ve been left out of the rituals that allow people to make a transition from the past to the future.  In The Rites of Passage, Arnold Van Gennep explains how societies use rituals to help people transition.  The truth is that after a death, we can’t go back to the way things were before.  We need to change.  That change is often changing our relationship to the deceased rather than terminating the relationship.  It’s now considered healthy to internalize a connection to the other person.  (See Handbook of Bereavement.)

No Right Way to Grieve

It’s important to acknowledge that, disenfranchised or not, there is no one way to grieve – and no right way to grieve.  Grief is necessarily a personal process that is influenced by social norms – but there is no right way to do it any more than there’s one way to love.  (See The Grief Recovery Handbook for more on grieving.)

Fear of Flooding

Many people are afraid of their emotions, that they’ll become flooded and unable to operate.  Rather than developing a relationship between reason and emotions, they tightly control their release of emotions so as not to exceed their ability to reign them in.  (See The Happiness Hypothesis for why this may be a fool’s errand.)  When faced with emotions for the first time – such as after the first serious romantic breakup – many may wonder if they’ll survive this.  The powerful emotions can feel overwhelming and can shake us to our core, causing us to ask who we are, what we’ve done, and if we’ll ever find love again.  (See The Hope Circuit for more about how to think and The Psychology of Hope for how to create hope as a powerful protector.)

The best thing that we can do for others who are experiencing strong emotions is to create a safe space of allowing.  (See The Fearless Organization for safe spaces and How to Be an Adult in Relationships for more allowing.)  This safe space can help them learn about their emotions and works against Disenfranchised Grief.

The Impact of Generative AI on Knowledge Management

Knowledge management has always stood on two legs. The first leg is explicit, articulated content captured and codified into repositories of structured and unstructured data.  The second leg is in connecting people with tacit knowledge in ways that are beneficial to the organization.  Generative AI and the related technology of semantic indexing reduce the friction to knowledge management and make it easier for individuals in an organization to find the special knowledge that already exists.

Humans are constrained by language.  Our language is necessarily not precise and our use of it is even less so.  By leveraging the latest tools, we can reduce the barriers to storing and retrieving information – and we can make it easier to connect with experts.

Semantic Index

Knowledge management is constrained by the curse of knowledge.  The words that experts use aren’t the words that novices use.  Systems that experts contribute to are dripping with a lexicon (vocabulary) that the new users simply don’t know.  Historically, our search tools looked specifically for the words that users searched for and added only those synonyms that an information architect or search experience person added.  However, the advent of semantic indexes automates the process of developing relative weighting between words, thereby automating the process of creating synonyms.

In practice, what this means is that novices can search with the terms they know, and they’ll find results that never use those words but instead use the more specific terms that are virtually synonymous with the terms used in the search.

This impacts both the retrieval of explicit knowledge and in finding experts.

Generative AI for Search Interaction

While semantic indexing improves the findability of information by mapping terms together, historically, users have been constrained to search experiences that use an arcane keyword query language that they never learned.  They never were taught how to use refiners or even what “corpus” meant.  They were left abandoned with a tool that they could barely use – in most cases.

Enter the generative AI tools with the natural language processing (NLP) chat interface that remembers and understands context while providing answers.  Suddenly, the bar for issuing a search and getting the results you want dropped substantially.  Instead of having to understand the search language, search started understanding our language.  While we’ve not reached the pinnacle of this yet, as some prompt engineering is currently needed to get the precise results we want, it’s substantially better than using a search interface directly.

Expertise Finding

While the applicability to explicit content is obvious, the power to find experts isn’t so transparent.  While some organizations with well developed knowledge management programs boast a directory of people in the organization with their skills, that’s far more rare than common.  Instead, most people locate experts by first locating content and then finding those people who wrote the content.  This is a good way to get to the people that know the most about a topic.  What generative AI as an interface to search allows us to do is to first identify who is writing about a topic, saving us having to scan the content looking for authors and editors.  Second, access to the social network graph means that generative AI can identify people that you have in common with the expert that you want to speak with, so you can ask for a warm introduction.  Depending upon the prestige of the person you need to speak with, this may make the difference in how quickly you get a response.

The tools that allow explicit content to be navigated are also the same tools that can be used to move from content to context to comrade.

Foundations of Search in an AI World

It might be tempting to look past search in favor of AI today, but to do so confuses the foundations of search and the box that you enter terms into.  Search is more important today as a partner of generative AI than it ever was in the past.  Search unlocks the storehouses of your organization and makes it available to users and to AI agents.

In The Power of Results Augmented Generative AI, I explained how search connects content in the organization to the power of generative AI and how this can make corporate knowledge more consumable.   Here, we’re going to focus on the foundations of search that make this possible.

Corpus

“Corpus” is the word that is used to describe everything that search has indexed.  It’s the information that it can point to when a user – or generative AI – makes a query.  The key to corpus with generative AI is to ensure that the content that is the most relevant is available.  Whether this is the legacy file share or the core operational system of the organization, the results of search are only as good as the content in the corpus.

Most search engines make some sources easy to index and leave others to third parties or for users to create their own interfaces.  To get the most important sources, it’s likely going to require some work.

Identity and Authorization

One of the key challenges to getting content into the corpus is knowing how to map the identities of the users and ensure that authorization to the content is properly cataloged.  The corpus may have top secret documents in it – but you shouldn’t be able to see them without clearance.  That means the way that the users are identified to the search engine must be brought into harmony with the identities that the search engine uses.

With identities mapped, it’s necessary to connect the authorization from the underlying system into the search system so that information users shouldn’t see isn’t ever disclosed to them.  The mapping of security is slightly simplified, because search only needs to consider whether the user has or doesn’t have read permission.  However, in many cases, getting authorization right is an important and difficult challenge.

Relevance

Generative AI approaches all have limits to the amount of information that they can process.  If a search returns 1,000 items, not all 1,000 items can be passed along to the generative AI engine.  Only the top few will be passed along and processed.  That’s why it’s important to ensure that your search engine is returning the most important and relevant documents on top.  If your relevance coming back from search is wrong, your AI engine will never get the raw materials it needs to create meaningful answers.

Luckily, search architects have decades of experience with ensuring that the most relevant documents are at the top of results.  By describing authority to the system and using appropriate tagging, it’s possible to dramatically shift how search returns results.

Book Review-Understanding Organizations… Finally!: Structuring in Sevens

When Henry Mintzberg says that he finally understands organizations and structure, he does so with decades of experience and accolades.  In Understanding Organizations… Finally!: Structuring in Sevens, he builds on his research on how organizations have been organized, should be organized, and naturally organize themselves.  In the book, he explains the structures that he’s been trying his whole career to understand.

What Is an Organization

Before we can explain patterns for organization, we need to first understand what an organization is – and why the way it is organized matters.  Organizations pursue collective action to the purpose of a common mission.  This is distinguishable from Richard Hackman’s work on teams, because there is no requirement for working together.  There needs only to be action that moves towards a common mission – which can be financial gain.  (For Hackman’s work, see Collaborative Intelligence.)  Outside of the narrow definition Hackman uses for a team, there’s still a need for relationships that allow people to act together in a coordinated or semi-coordinated way.

It’s patterns of relationships that allow people to work together.  These patterns have been discussed from different perspectives by Gareth Morgan in Images of Organization.  Jay Galbraith shares his view in Designing Dynamic Organizations, where he focuses on some of the factors that Mintzberg proposes here.  Works like The Culture Puzzle seek to assemble an organization that fits the pieces together like a puzzle where others focus on the role of leaders in shaping the organization’s relationships.  (See Leadership and Leadership for the Twenty-First Century for a start.)

The one clear consistency from all this work is the reality that “believing that there is one way to structure organizations is the worst way to manage them.”   Those people who believe that they know the one best way to do things are those who’ve not reached a level of mastery that allows them to see when to apply the patterns they know.  (See my reviews of Presentation Zen and Story Genius for more.)

Reorganization

On the one hand, our performance is a result of the way we organize and the people we have.  (See Organizational Chemistry for more.)  On the other hand, reconfiguring the organization takes resources with no guarantees of better performance.  All the while, we must combat Immunity to Change as the organization naturally resists the change.  In Work Redesign, Richard Hackman and Greg Oldham share their work and attempts to transform an organization while workers like Ralph, who had been beaten down by the old structure, resist the changes.  Management and the Worker explains how the efforts to improve efficiency by restructuring both succeeded and failed at the Westinghouse Hawthorne Works outside of Chicago.

While we must recognize the possibility that reorganization improves performance, there’s no guarantee – and there’s definite risk that it will be worse or result in no improvement, thus wasting the reorganization effort.

The Players

Mintzberg believes there are categories of players in an organization as follows:

  • Operators – These people do the work of the organization.
  • Support Staff – These people indirectly do the work of the organization by supporting the operators.
  • Analysts – These people create plans and monitor their execution.
  • Managers – Oversee the people to ensure they’re doing their role and that the various parts of the operation are communicating effectively.

The Culture

People are only one part of the equation of culture.  Culture is the result of both people and their environment – an environment they co-create.  Cultures come with rules, procedures, and policies.  They come with artifacts that are generated by the process that may – but often do not – generate value for the customers.  A culture is an operating environment that can be one of risk taking or risk avoidance.  It can be nimble or calcified.  The culture is a reflection of what the organization values – irrespective of the espoused values, mission statements, or pretty pictures it tries to send the market.

Mirages

The organization can be viewed as a chain, a hub, a web, a set, and many other different concepts.  Mintzberg’s point is similar to Gareth Morgan’s in Images of Organization: the metaphor that you use to see the organization changes what aspects are elevated and what aspects of the organization are obscured from view.

One of Mintzberg’s visualizations is a triangle of science, craft, and art.  It’s a way of evaluating how you view the work that you and the organization do.  None of these views are wrong – they’re just necessarily incomplete.

Four Fundamental Forms

Mintzberg proposes that there are four fundamental forms of organization that can be hybridized with other forms to create the uniqueness of the organization.  His graphic for these four forms is below.

The lines that connect the forms are the paths of hybridization.

Blame the Implementation

It’s quite normal in organizations for strategists – who sit in the upper echelons of the organization – to describe the failure of a strategy as a failure for the strategy to be implemented well.  However, as was discussed in Seeing Systems, the interfaces between the highest and lowest levels of the organization creates a great amount of stress and is rarely done well.  It’s naturally difficult to implement strategies.  It’s naturally difficult to create change in organizations – because they’re designed to resist it.

Too many strategies include “and then the magic happens.”  It’s the place where the barriers that have held the organization back are somewhat magically resolved.  We see this in The Advantage, The Pumpkin Plan, Grit, and Trust Me.  Each has an aspect of the things you can do that will reportedly allow for breakthrough success – but it doesn’t seem to happen to many.

Thirteen Games

Mintzberg believes that there are thirteen games that are played in organizations:

  • Insurgency
  • Counterinsurgency
  • Sponsorship
  • Alliance-building
  • Empire-building
  • Budgeting
  • Expertise
  • Lording
  • Line versus staff
  • Rival camps
  • Strategic candidate
  • Whistle blowing
  • Subversion

Designers

Organizations can encounter two kinds of designers.  The first kind believes that they understand but do not.  They perhaps communicate well.  Their presentations receive accolades.  However, they truly do not understand and can lead the organization to peril.  Conversely, there are those designers who do understand and help shape organizations in directions of growth.  These designers often are quieter and more reserved.  They understand the limits of their knowledge and they do their best to expand it.  They’re the kind that develop the ability to create Understanding Organizations… Finally!.

The Orchestration of Microsoft 365 Copilot

While most people don’t draw the distinction between Copilot and their favorite large language model – like ChatGPT – it’s a critical distinction that can mean success or failure.  We’ll explain why Copilot is different and why that matters to you.

What is an Orchestration Engine?

Copilot is an orchestration engine.  It connects a set of services to create experiences.  In the case of Microsoft 365 Copilot, those experiences include grounded responses from a large language model (LLM) that has been primed with your organization’s content.  Decades ago, there was a movement to a service-oriented architecture, which was a way of keeping individual services focused on doing one thing.  Microservices would do something very small, but they’d do it very well.  From this arose a variety of orchestration engines that would allow you to stitch together these services in ways that solve real business problems.  Copilot does the same thing in a fixed way.

There are three key pieces that happen inside of Copilot:

  • The prompt is grounded. That is, the prompt is augmented using retrieval augmented generation.  In Microsoft 365, this is handled by Microsoft Search.  It can be further enhanced.
  • The prompt is filtered. What Microsoft considers inappropriate prompts or responses are blocked.  When this happens, the entire conversation gets blown up and becomes unavailable for future prompts.
  • The prompt is fed to the LLM, and a response is received.

Grounding with Results Augmented Retrieval

One of the first public problems with LLMs was their tendency to hallucinate.  They’d make up sources.  A simple solution is to require the model to cite sources – and make those sources available to the user for verification.  The grounding process allows for standard additional language to be added – along with a payload of proposed useful responses – based on what search retrieved to shape the way that the LLM responds and minimize the potential problems with the response.

More importantly, because the grounding of the internal Microsoft 365 Copilot implementation is based on search results for your organization, it unlocks the information that your organization already knows.

Responsible AI

Two decades ago, while deploying search solutions, we figured out that search could help us find content with “naughty words.”  While a dog breeder might have a need for the word “bitch,” most organizations do not.  We’d take our list of words, share them with HR departments, and leave them to routinely run them to identify people who were using words that weren’t appropriate for the corporate environment.  In the generative AI world, there’s a greater concern that the system might use these words – and concepts – and extend them in ways that aren’t helpful.

Rather than having to identify all the potential issues, responsible AI allows Microsoft to filter requests that it believes are problematic.  This is a great help – and occasionally it creates issues.

One of the things that we do is to work on suicide prevention.  Often, the responsible AI component fails to make the distinction between seeking information about suicide – which it shouldn’t help with – and suicide prevention, where the assistance is gratefully accepted.  While it’s frustrating that responsible AI clips our queries, it’s a limitation we accept to protect our users from potential harm.

The LLM

The beauty of the orchestrated approach is that the actual LLM used to solve the problem isn’t that important.  The LLM can be changed out at any time for a more effective or more efficient one.  For that matter, it’s possible for a single, grounded query to be sent to multiple LLMs and then those responses summarized by another call to an LLM.  The array of permutations that could be used to get better answers is virtually unlimited.

Today, we’re already seeing models that are designed to specifically break problems down and generate more comprehensive responses.  The beauty of an orchestration engine approach is that it can begin with one LLM, and when the user asks for a detailed report, switch to another, more suitable, engine.

The Power of Orchestration

As an orchestration engine, Copilot makes it easy to swap out components with more effective ones, either across all services or through the addition of an intelligent decision system, to change the components based on the conditions of the organization or of the query.

The Power of Results Augmented Generative AI

You’re probably already tired of hearing about generative AI – and simultaneously struggling to find the use case that will propel your organization and your career.  That’s what you’ll find here.  Clear guidance, explanations, and ways to power your organization with generative AI.

The Baseline

A year or two ago, I would have needed to start this post out by explaining what generative AI is and what large language models (LLMs) can do.  Now, we can’t do anything without hearing that the product or service is AI enabled.  I’m waiting for my toothpaste to become AI enhanced, not because I need that or it’s valuable but because of its marketing value.

I heard the best summary of generative AI: “It’s like Fiverr but faster and cheaper.”  For those of you who’ve not used Fiverr, it’s a way to hire people to do basic work for you.  While it started with graphic design, it’s broadened into the related topics you’d expect.  It’s low cost.  It’s also often difficult to extract high-quality.  Like the organizations that started offshoring software development decades ago, it involves learning to get high quality when the person or people aren’t sitting next to you and don’t speak your language as their second language.

So, while Fiverr is often cheap, it takes work to get good results.  It takes time and iterations.  What a Fiverr person does in hours or days, generative AI can do in seconds to minutes.  Today, you’ll need to learn some prompt engineering techniques to get closer to the result you want – but in the future, that won’t be necessary.  The cycle time is much, much faster with a generative AI tool.  The result is that for pennies (or what you’re already paying as a subscription), you’ve got an answer that might have cost $100 to get from a freelancer.

Just like the low-cost freelancer, LLMs are good at summarizing.  They’re not good at synthesizing.  If you want to find five or ten key things, you’ll get good results.  If you ask for an organization hierarchy with the most salient terms for your audience, you’ll either blow the token limits and get something between useless and gibberish – or you’ll get something that feels flat or hollow.  Knowing what kinds of things that LLMs are good at can help you identify the kinds of tasks that are most likely to drive value.  However, there’s a secret about how to leverage generative AI in your organization that we don’t hear enough about.  That’s retrieval augmented generation – or RAG.

Retrieval Augmented Generation

The secret is buried in the bowels of the organization’s unstructured data.  Somewhere, the answers that users seek are there, but they can’t find them.  We’ve got over two decades of talking about enterprise search conversations, but almost no one has done it.  The reasons are a mixture of technical and logistical issues, but more importantly, we could never demonstrate clear value on the investment in search – until now.

Semantic search solved one of our sticking points, and generative AI solves the other.  Search has historically suffered from the idea that you needed to know the word used to find it with search.  If your users filed information with “car,” you couldn’t find it with “automobile” or “vehicle.”  A lot of time was spent building synonyms lists and then the semantic search index appeared, and it created mathematical representations for the relationships between words.  No longer do you have to equate “car” to “automobile,” nor do you have to describe a weighted relationship to “auto” – which can be short for automatic or automobile.  In short, you don’t have to get the exact right words to get the right results.  This has the power of improving results particularly for those who are novices – the very ones who need the most help.

Generative AI is built on natural language processing (NLP) and therefore responds well given the vagueries of our conversational language.  Simple prompts like “Ask clarifying questions” can help the LLM hone in on the right meaning and the particulars that are being asked about.  However, from the user point of view, generative AI chat interfaces are a better finding experience than has ever been available from search.  Normal people, our users, didn’t understand refinement and how to use the keyword query language (KQL) syntax that search engines use.

The short is that generative AI is a better search than search – when the generative AI is connected to the backend search engine.  That’s precisely what RAG is.  It’s a mechanism of using search to feed generative AI content the organization has developed to generate better results – either by pointing to the right document or creating the right summary of the documents in the organization.

The Power of Two

The power of generative AI is unlocked by having the right content to work with.  If you want to deliver responses that unlock the power of the organization’s content, you need to enable RAG with your generative AI tool.

Book Review-Person-in-Environment System: The PIE Classification System for Social Functioning Problems

I’ve developed a respect for social work in ways that I never had.  It was hard for me to differentiate social work from coaching and navigation on the one side and psychology on the other.  Some of this was my ignorance and some was the blurring of lines.  One of the things that social work needed – and needs – is a unifying framework to bring the work of social workers together.  One proposed system is Person-in-Environment System: The PIE Classification System for Social Functioning Problems.  While labeling has inherent concerns of dehumanizing people, categorization makes it possible to more effectively support and serve.  We cannot avoid attaching labels to people, because our measurement systems (or payment systems) require it.  However, we can choose labeling frameworks that honor their entire experience – like PIE.

The Four Factors

The PIE system seeks to classify a person’s situation with four factors and sub-factors as follows:

  • Factor I: Social Functioning Problems
    • Social role in which each problem is identified (4 categories)
    • Type of problem in social role (9 types)
    • Severity of problem (6-point indicator)
    • Duration of problem (6-point indicator)
    • Ability of client to cope with problem
  • Factor II: Environmental Problems
    • Social system where each problem is identified (6 systems)
    • Specific type of problem within each social system (number varies for each social system)
    • Severity of problem (6-point indicator)
    • Duration of problem
  • Factor III: Mental Health Problems
    • Clinical syndromes (Axis I of DSM-IV)
    • Personality and developmental disorders (Axis II of DSM-IV)
  • Factor IV: Physical Health Problems
    • Diseases diagnosed by a physician (Axis III of DSM-IV, ICD-9)
    • Other health problems reported by client and others

While this seems like a lot to take in all at once, it provides a more or less comprehensive view of someone’s current situation – which requires coverage of multiple aspects and dimensions.  Too often, people are reduced to their mental health diagnosis (Factor III).  In doing so, we necessarily ignore the social, environmental, and health factors that lead to this diagnosis.  The beauty of social work as a profession is the ability to see the full picture and to look for the ways that the person’s challenges and dysfunctions are a product of both their internal workings and the environment they’re in.

Lewin

Before exploring PIE in more depth, it’s helpful to go back and review the work of Kurt Lewin.  Among his contributions is a statement that behavior is a function of both person and environment.  When Lewin said it’s a function, he meant that the interaction between the person and the environment can’t be fully understood.  (See A Dynamic Theory of Personality.)  We know we can induce most (if not all) people to behaviors if we change the environment.  Similarly, we know that people will resist behaviors even when their environments are changed.  While it’s not a comforting answer to the specifics of the interaction between person and environment, it’s clear that it happens.

With this simple start, we see the growth of social work and the divergence from psychology.  Where psychology is concerned with the internal worlds of people and their outward expression of it (behavior), it fundamentally misses half the equation.  It fails to realize how environment matters.  In Change or Die, Alan Deutschman shares about Dulaney Street and how it’s successful at helping people with substance use disorder – as well as the ways that it fails.  We know that recovery happens best in community – that is, it happens best when you change the environment.

Factor I – Social Functioning Problems (Relationships)

It’s hard to have any kind of problem without it impacting your relationship with others.  You can’t be struggling without those who care about you and interact with being impacted.  Kernan Manion, as quoted in Your Consent is Not Required, says, “A human being has a variety of connections, of moorings, that hold that human being in place. A marriage or significant other. Friends. Family. Community. Neighbors. Church. A job, income. In other words, all of this is the tapestry of one’s environment. And what the Stasi [German Secret Police] decided is that the way that you can annihilate someone is to cut those moorings, one at a time, cut them off from each of them.”  He continues by saying there’s a more effective way of doing that than causing them to suspect you’ve gone mad.

Manion’s comment exposes just some of the ways that we relate to others.  And each of these relationships has the potential for dysfunction.  The PIE system describes these dysfunctions as power type, ambivalence type, responsibility type, dependency type, loss type, isolation type, victimization type, mixed type, and other type.  These are associated with an intensity and duration before evaluating the person’s coping skills to round out the coding of the first factor.

Factor II – Environmental Problems

Beyond the relationships, we have material needs that must be met.  Problems are first categorized by the social system that they occur in: Economic/Basic Needs System; Educational/Training System; Judicial/Legal System; Health, Safety, and Social Services System; Voluntary Association System; and Affectional Support System.  You may notice that there aren’t clean lines, as the environmental problem may be that the person isn’t receiving enough affectional support, a Factor I item.  However, the small areas of overlap help to ensure that there aren’t problems that cannot be coded using the system.

Factor III – Mental Health Problems

For mental health problems, PIE defers to the DSM (Diagnostic and Statistical Manual) of the APA.  There are numerous problems with this – but it’s a necessary compromise, because DSM is used for coding treatments outside of social work and for billing.  It’s essential to have a system that is compatible with billing for sustainability of the profession.  (See Your Consent Is Not Required and Warning: Psychiatry May Be Hazardous to Your Health.)

Factor IV – Physical Health Problems

These are the sorts of things that one sees a medical doctor for.  They’re categorized by International Categorization of Diseases (ICD) codes.

Causes of Problems

Sometimes, the focus goes to the degree to which someone is impacted by mental illness without evaluating the factors that might lead to mental illness.  We tend to think about mental illness differently than physical illness.  While physical illnesses have external factors such as genetics or pathogens, we expect that mental issues are somehow indicative of the person.  We think about physical illnesses being mostly temporary in nature as responses to injury or intruder, yet we believe that once someone has a mental illness, they’ll have it for life, like an albatross hanging around their neck.

This makes it difficult to see mental illness as a predictable outcome of trauma – whether it’s continuous or episodic.  While this seems to challenge the prevailing views, it’s consistent with what the research says.  The environmental and external nature of the drivers of mental illness is one of the reasons why the social work approach (whether using PIE or not) is so vital.

If you want to make real change and real improvement, you may need a system like the Person-in-Environment System.

Book Review-Your Consent Is Not Required: The Rise of Psychiatric Detentions, Forced Treatment, and Abusive Guardianships

It’s just hard to read.  It’s hard to read that people’s liberties are being stolen.  That professional organizations are complicit in the continued harm.  Your Consent Is Not Required: The Rise of Psychiatric Detentions, Forced Treatment, and Abusive Guardianship is a sad story of how it’s too easy for someone to become a prisoner of the mental health system.

What Doesn’t Work

No one should believe that solitary confinement for extended periods of time is therapeutic.  In Chasing the Scream, Johann Hari explains the real reasons that rats preferred morphine laced water over regular water: they were being held in solitary confinement.  Bruce Alexander, in The Globalization of Addiction, explains the experiments that his team did in more detail, including the fact that the water included both morphine and sugar – not just morphine.  When the rats were given socialization and toys to play with, they didn’t seek the morphine-laced water in the same way.  They were adapting to their imprisonment – their solitary confinement – by taking drugs to numb the social pain.

Ubuntu derives from a Zulu saying that literally means, “A person is a person because of other people.”  Social workers think about this as person-in-environment.

Where the Supreme Court Sits

There are a set of cases that are important to how psychiatric care is viewed by the courts in the US.  The point at issue is the Fourteenth Amendment to the Constitution, which guarantees due process under the law.  Much of what happens with psychiatric detention skirts dangerously close to these protections.

In Addington v. Texas (1979), the bar for the standard of evidence for psychiatric detention was lowered.  There are three levels of evidentiary requirements for burden of proof, from the least difficult “preponderance of the evidence” through “clear and convincing evidence” to “beyond a reasonable doubt.”  In this decision, the requirement was moved from “beyond a reasonable doubt” to “clear and convincing evidence,” because the court was concerned that the “beyond a reasonable doubt” standard couldn’t be met given the problems with psychiatric diagnosis.  The opinion states, “The reasonable doubt standard is inappropriate in civil commitment proceedings because, given the uncertainties of psychiatric diagnosis, it may impose a burden the state cannot meet, and thereby erect an unreasonable barrier to needed medical treatment.”

Since then, there have been cases that have raised the bar for expert testimony.  The current standard was set in the Daubert (1993), Joiner (1997), and Kumho (1999) cases.  One of the problems is the inconsistency with which these standards are still applied.  For instance, the Rorschach ink blot test fails to meet these standards according to “Failure of Rorschach-Comprehensive-System-Based Testimony to Be Admissible Under the Daubert–Joiner–Kumho Standard” (2002), but it’s still routinely used by “experts”.  (See also Science and Pseudoscience in Clinical Psychology and The Cult of Personality Testing.)  While courts are supposed to use these standards of evidence, they will often side with a psychiatrist because of their technical credentials even if their work is built on a house of cards.  (See House of Cards: Psychology and Psychotherapy Built on Myth.)

Despite the court’s failure to maintain evidentiary standards, they have repeatedly reaffirmed the need for due process.  In Vitek v. Jones, they required that a prisoner’s transfer to a mental health institution must “be accompanied by adequate notice, an adversary hearing before an independent decisionmaker, a written statement by the factfinder of the evidence relied on and the reasons for the decision, and the availability of appointed counsel for indigent prisoners.”

Too few public defenders have the time or inclination to push back on the civil commitment or guardianship hearings – if there is any defense given at all.  Wipond reports, “Many attorneys asserted to me that only about 5 percent of their civilly committed clients truly meet the standards for ‘dangerousness’ established by the US Supreme Court, and Simonson and I agreed that only a tiny percentage of the cases that we saw revolved around behaviors that either of us considered truly dangerous.”  While this fails the rigor of a study, even if it’s off by an order of magnitude, that still means that half the people who are being held don’t meet the requirements for “dangerousness.”

To understand why dangerousness is essential, we need to go back to O’Connor v. Donaldson (1975) and the finding that held, “A State cannot constitutionally confine, without more, a nondangerous individual who is capable of surviving safely in freedom by himself or with the help of willing and responsible family members or friends, and since the jury found, upon ample evidence, that petitioner did so confine respondent, it properly concluded that petitioner had violated respondent’s right to liberty.”  Conversely, in Foucha v. Louisiana (1992), the court decided that dangerousness isn’t sufficient – they must also have a serious mental illness.

The lingering problem with dangerousness is that the US Supreme Court has largely left the definition of “dangerous” to the states – who each have different standards.  In some states, like Indiana, they also include the concept of “gravely disabled.”  That is, they’re unable to take care of themselves.

Declining Treatment

A problem is that declining treatment – including unnecessary medication – can be seen as meeting the definition of gravely disabled.  Gravely disabled rests on the premise that a person is unable to take care of themselves, including basic hygiene and caring for their medical needs.  I think that few people would argue against someone who is unable to manage diabetes needing additional support.  However, in the case of diabetes, outpatient options are very viable in most cases.

When it comes to psychiatric care, the degree to which a medication is necessary comes into question.  Does the diagnosis apply?  Does the medication prescribed have clinical research that supports that it’s highly effective compared to placebo?  As we’ll see, there’s little consistency in diagnoses, and the medications used to treat these serious mental illnesses show only weak effect.

Under gravely disabled laws, courts often find that a person must take their psychiatric medication, and refusal to do so is used as evidence that they’re unable to care for themselves. In essence, the statement that you don’t have the mental illness claimed or refuse to take your medications is taken as tacit evidence that you’re gravely disabled.  It’s sort of like the tautological argument that you must be crazy to want to die by suicide.  (See American Suicide and The Varieties of Suicidal Experience.)

The medical term for an inability to see one’s own disease is anosognosia.  It’s often used as the excuse for dismissing a patient’s claims that they don’t have a disease.  The NAMI book, You Are Not Alone, speaks of it as a failure of the person rather than a situation of conflicting perspectives that should be resolved by seeking additional input.  Rather than recommending a third party evaluation, the presumption is that the patient is incapacitated – by their mental illness – and therefore can’t recognize they have it.  Few recommend another evaluation and diagnosis, because it’s quite unlikely that an additional evaluation will result in the same conclusion.

Civil Rights

Wipond shares that, since 1972, the US Supreme Court has regarded psychiatric detention as “a massive curtailment of liberty” (Humphrey v. Cady).  Why this is important is because in the US, law enforcement personnel have qualified immunity while performing their duties.  However, the immunity is nullified if it is shown that the officer acted maliciously or recklessly disregarded a person’s civil rights.  (See Undoing Suicidism for a more detailed discussion.)  The immediate detention by a law enforcement officer moves to the psychiatric professional who has no immunity and is ultimately responsible for the psychiatric detention the court acknowledged was a curtailment of liberty.

Brain Chemical Imbalance

In a 2022 Harvard Medical School article, the phrase “brain chemical imbalance” is a “figure of speech.”  However, this dismisses the decades of work that sincerely believed that there was a physical cause for mental illness – including work done by the American Psychiatric Association.  A statement made in 2013 by the chair of the DSM-5 Task Force begins with, “The promise of the science of mental disorders is great. In the future, we hope to be able to identify disorders using biological and genetic markers that provide precise diagnoses that can be delivered with complete reliability and validity. Yet this promise, which we have anticipated since the 1970s, remains disappointingly distant.”  There’s been no progress that I could find since then that connects biological causes to mental illnesses.

Expansion of Mental Illness

The Diagnostic and Statistical Manual (DSM) has, according to Wipond, “barely a whiff of medical science.”  Allen Frances, the task force chair for DSM-4, in a Huffington Post article expressed concern at the broadening of mental illnesses in DSM-5.  The American Counseling Association criticized the expansion, but the most damning quote comes from Til Wykes from Kings College London: “The proposals in DSM-5 are likely to shrink the pool of normality to a puddle with more and more people being given a diagnosis of mental illness.”

Often, people share that a large proportion of those who die by suicide have a mental illness.  The number is cited at 90% or higher depending on the person.  However, as is addressed on SuicideMyths.Org, the answer is substantially smaller than that.  The primary problem is with the definition of mental illness which has clearly been expanding.  Estimates of those who have a mental illness in the US exceed 20% – before accounting for disordered substance use, which, depending on the population being studied, causes the number to rise above 50%.  Based on a 2005 study, lifetime prevalence rates of DSM-IV disorders stand at over 50%.

Maintaining the Status Quo

Frances, quoted above, also stated, “I don’t want people who need help to get disillusioned and stop taking their medicine.  The full truth is usually best, but sometimes we may need a noble lie.”  There are two problems with this statement.  First, the reason that Frances doesn’t want people to stop taking their medications isn’t clear – and second is the inherent paternalism that sits that the core of the problem.

Sudden discontinuation of many of the psychoactive medications has potential lethal consequences.  Certainly, that should cause pause and support caution in the way that we describe the value of these medications.  However, we aren’t communicating that, according to Wipond, “After five years on antipsychotics, 30 percent of patients have already developed tardive dyskinesia—permanent neurological damage that causes motor dysfunctions such as drooling, tongue-wagging, tremors, and shaking.”  I’m not saying that there aren’t some people who absolutely require their medications to be able to function – I’m just saying that if we want to expose the risks, we should do them evenly.

As William Glasser explains in Warning: Psychiatry Can Be Hazardous to Your Mental Health, the evidence for SSRIs is very weak, only beating placebo controls narrowly when the constrains are set strategically.  The truth is that a placebo – or the hope of recovery – is so powerful that it dwarfs the impact of the medication itself.  (See also The Psychology of Hope for how to encourage hope.)

The second concern is that there’s a substantial degree of paternalism in the statement.  It’s not wrong to encourage good behaviors, but disguising the evidence crosses that line.  (See my reviews of Nudge, Happier?, and Undoing Suicidism for more about paternalism.)  It seems to me that paternalism, as it relates to smoking or alcohol use, stands on firm ground.  Paternalism around continuing to take medications that have serious, long-term consequences and questionable efficacy is very shaky ground.

Psychiatric Diagnosis Fiction

The editor of the DSM-5, Columbia University psychiatrist Michael First, acknowledged that labeling people as having particular mental disorders has “no firm basis in reality.”  What would cause someone to reach that conclusion?  A large part of it is the reliability problem with DSM-5.  Reliability refers to the ability for two independent people to produce the same assessment.  On this basis, the DSM-5 doesn’t do well.  Even the title, “DSM-5: How Reliable is Reliable Enough?,” betrays the problem that the same presenting patient will be given different diagnoses by independent evaluators.

Checkboxes

Unlike the immensely valuable checklists championed by Atul Gawande in The Checklist Manifesto, checkbox behaviors cause people to be harmed.  Rather than ensuring that every step is completed faithfully, checkbox behaviors look for the shortest path to diagnosis.  Once someone scores enough “points” to be considered for a diagnosis, the evaluator stops, adds the label, and moves on.

Their behaviors are encouraged by psychiatric assessments that identify people at a substantially higher rate than even the designers of the tools believe are true.  However, two of the three frequently used tools, the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) survey, were underwritten by the drug company Pfizer.  Higher false-positive rates are good for business.  (See Rethinking Suicide for more about false positives.)

Prediction

What the public wants is for highly accurate prediction of the risk to which someone is to themselves and to others.  However, both are problematic.  On the suicide front, the ability for trained clinicians to predict short-term suicide risk is only slightly better than chance – and few clinicians have this level of training.  (See Rethinking Suicide.)

On the danger to others, the same predictive problem exists.  The US Supreme Court in California v. Ramos (1983) decided that predicting dangerous was difficult, but not impossible – and, strangely, a job for the jury. “The possible commutation of a life sentence does not impermissibly inject an element too speculative for the jury’s consideration. By bringing to the jury’s attention the possibility that the defendant may be returned to society, the Briggs Instruction invites the jury to assess whether the defendant is someone whose probable future behavior makes it undesirable that he be permitted to return to society, thus focusing the jury on the defendant’s probable future dangerousness.”

Another curious decision by the court in Barefoot v. Estelle (1983) states, “Moreover, under the generally applicable rules of evidence covering the admission and weight of unprivileged evidence, psychiatric testimony predicting dangerousness may be countered not only as erroneous in a particular case but also as generally so unreliable that it should be ignored. Nor, despite the view of the American Psychiatric Association supporting petitioner’s view, is there any convincing evidence that such testimony is almost entirely unreliable, and that the factfinder and the adversary system will not be competent to uncover, recognize, and take due account of its shortcomings.”  What makes this so curious is that the court completely discounts the American Psychiatric Association – who one would reasonably presume are the experts in psychiatric matters – only to insist that experts should be able to predict dangerousness in a way the association insists isn’t possible.

These cases, of course, predate the more recent standards of evidence.  However, their existence is a roadside attraction left to be reclaimed by the elements sending a clear message of the journey we’ve been on to uncoil the snake of psychiatrists who choked the life out of so many innocent people.

Housing Fourth

One policy approach is to work towards getting people stable housing first.  While the definition of stable housing can vary, conceptually, it’s having at least basic assurance that there will be a warm bed for the person.  Detractors of this approach cite the character of the people and their behaviors that have led them to their current situation.  The detractors see these problems as personal failings rather than systemic issues that lead some people into a downward spiral.

The alternative is what is called “housing fourth.”  It insists that people resolve their issues first and only then will they receive guaranteed housing.  I mentioned above that much of what we think about substance use disorder is wrong – and based on a fundamental misunderstanding of the “Rat Park” experiment.  There’s plenty of evidence that increasing shame and guilt creates an even greater need for and dependence on substances to make the world more tolerable.

Anne Case and Angus Deaton in Deaths of Despair work through, in greater detail, how the systems of capitalism create challenges for those near the bottom of the socioeconomic stack.  However, they don’t cover Wipond’s point that sometimes people exist outside the system.  Underage runaways aren’t able to get housing or a job.  That forces them into places where they have to find ways to survive outside the system.  These runaways may be escaping their parents or the foster care system – so there’s no way to get their approval for housing or jobs.

We shouldn’t continue to tolerate destructive behavior – but we can’t expect it to change unless we’re willing to change the conditions and pressures on people.

Funnels Leading to Detention

If people are detained against their will, how do we end up there in the first place?  There must be a mechanism whereby people are led to the place where someone decides to hold them.  It turns out one of those funnels is wellness checks.  You can, as a concerned citizen, ask for the police to check on the welfare of another person.  These checks often result in some kind of action.  It can be that they result in a hospital stay – and perhaps a psychiatric hospital stay.

However, wellness checks aren’t the only funnels towards involuntarily detention.  Sometimes it’s a call the person places themselves to 988 – or, formerly, to the National Suicide Prevention Line (NSPL).  Wipond shares that about 2% of these calls result in some sort of police response.  That’s particularly frightening when you consider that the average call length is 10 minutes.  We’re back to the prediction problem.  Certainly, the response rate shouldn’t be zero.  Some people will call and then welcome an in-person response.  The issue is the fact that people believe these lines are anonymous, and many come to find out that they’re not.  They find that information the police would have been required to get a warrant for is readily available to 911 operators – and the relationship between 988 and 911 operators isn’t clearly articulated.

One of the final pathways to detention are the programs that encourage laypeople to drive others toward getting help.  Like most things, it’s not bad to encourage people to get help.  It’s bad when the people that you’re referring them to have a profit motive.  For instance, Mental Health First Aid is run in the US by the National Council on Mental Wellbeing.  It’s a lobbying group for 3,500 treatment providers.  There may be a reason to consider their motives in what is being taught.

Moral Calculus

Albert Bandura’s tome Moral Disengagement explains what you do if you want people to behave in ways that are against their morals.  (See also The Righteous Mind for the foundations of morality.)  One of the ways that people can live with themselves is to believe that “we help more people than we hurt.”  They cannot ignore the fact that people are harmed by involuntary commitment – so they must use different moral calculus.  (See How We Know What Isn’t So for more on being forced to accept the truth.)

There are two problems with the statement.  First, the magnitudes of help and harm aren’t known.  Second, the frequency of both help and harm aren’t known.  So, we cannot know whether the net impact of these coercive processes are helpful or harmful.  Too many of us are looking at the research and conclude that we need to find a different balance.

Don’t Just Say No

In my formative years, Nancy Ragan surrounded herself by youth who would shout, “Just say no.”  This anti-drug campaign had a lot going for it.  The problem is that it didn’t appear to have any impact.  It fundamentally ignored the complexity and social pressures involved in the moment.  Conceptually, the decision is simple, but anyone who has been a teenager knows that the decisions aren’t that simple when peer groups are involved.

Scared Straight and Drug Abuse Resistance Education (DARE) were similarly ineffective – or, rather, slightly harmful.  They used fear and shame as the levers to change behaviors – but those are precisely the wrong levers to use when we’re talking about people’s mental health.

Going Back to the Trauma Roots

There seems to be at least some degree of consensus that there’s a causal relationship between trauma and mental illness.  Certainly not everyone who encounters trauma will develop and retain a mental illness – but trauma seems to lead to mental illness.  The greatest tragedy of confinement is that, rather than helping the person deal with their prior trauma, we heap on more.

Forced Treatment Doesn’t Work

In the end, the real problem is that, by-and-large, forced treatment doesn’t work.  It’s not that it’s never helpful.  It’s that it’s rarely helpful.  Given the chance of inflicting harm, we should be thinking more carefully and putting more protection in place.  Perhaps the starting point would be to address when Your Consent is Not Required.

Book Review-Affective Neuroscience: The Foundations of Human and Animal Emotions

This book earns the title for the longest time between starting to read it and finishing it.  Affective Neuroscience: The Foundations of Human and Animal Emotions is packed with information on a hugely important topic.  Generally, since Rene Descartes, we’ve focused on the impact of reason, but evidence points to the idea that it isn’t reason that’s king – it’s emotions.  (See Descartes’ Error and The Righteous Mind.)  The critical and underappreciated importance of emotions meant better understanding them was essential, and the material was deep enough that I had to be in special places and times to give it the attention it deserved.

The Causal Arrow

Before we can explore emotion and how it functions in the brain, it’s important to address the common misbelief that reason is in charge.  Jonathan Haidt’s Elephant-Rider-Path model, as discussed in his The Happiness Hypothesis and by Dan and Chip Heath in Switch, makes it clear that our reason, the rational rider, is only in charge when the elephant, our emotions, aren’t engaged.  In The Righteous Mind, Haidt goes on to explain that what we call “reason” really acts like a press secretary justifying the decisions that have already been made.

Daniel Kahneman reaches a similar conclusion from a different direction.  In Thinking, Fast and Slow, he explains his model of two systems.  System 1 is the automatic pattern matching that we use to navigate our days, and the more glucose-expensive System 2 makes our rational decisions.  System 1 is the same system from which we get our emotions, and Kahneman explains that it can “lie” to System 2 – or not engage it when it’s appropriate to.  In short, System 2 is subject to the rules of System 1.  Reframed in Haidt’s language, the rider only goes where the elephant wants to go.

For some, accepting that our reason and rational consciousness doesn’t have the control we believed it had our whole lives can be difficult.  It can be hard to accept that what we think of as “self” is just the tip of the cognitive iceberg.  However, work from many different directions seems to agree that this is the case.  Even Charles Duhigg explains that the reason comes after the action in The Power of Habit.

Genetics and Epigenetics

The science of genetics is well established.  We know that certain traits are inborn.  Our eye color is determined by the genes of our parents and random probabilities.  Other traits are impacted not just by our genetics but also by the environment that people live in.  It’s become more accepted that we can have genes in our biology that are activated or deactivated by our experiences.

From a genetic point of view, lab-raised rats who had never met a cat showed remarkable differences in their play after being introduced to cat fur.  Cats are, of course, a natural predator of rats – but not the rats who were born in the lab.  Somehow, the exposure to cat fur was recognized by even those with no experience with cats.  This and other experiments show that we have certain genetically transmitted fears.

Toxoplasma gondii is a microbe that has an interesting neurological trick it plays for replication.  It suppresses the fear of cats in rodents that have it.  This causes the rodents to be eaten by the cats.  The Toxoplasma then infects the cat as well as other mice that come in contact with the cat’s stool.  (See The Neuroscience of Suicidal Behavior for more on Toxoplasma gondii.)  Thus, it’s possible to change items even if they’ve been laid down by genetics.

Robert Sapolsky in Why Zebras Don’t Get Ulcers shares the famous adverse childhood experiences (ACEs) study and the impact that childhood traumas have on the long-term health of humans.  This was a landmark study in increasing understanding about the impact of epigenetics, which means “above” or “over” genetics.  This and other studies began to shed light on the ability for genes to be expressed differently based on current and historical environments.

Sapolsky also notes the work of David Barker, who discovered what is now called fetal origins of adult disease (FOAD).  This work demonstrated that even stress to the mother during pregnancy can have long-term consequences for the baby’s health.

Judith Rich Harris in No Two Alike and The Nurture Assumption explains how neither genetics nor good parenting can guarantee that a child will end up a certain way.  There are too many uncontrolled variables that are enabling and disabling genes.  There are too many conversations that you can’t be in the room for.  There are just too many things to expect that you can control the development.  Instead, we’re encouraged to do the best we can and recognize that even our best efforts may not generate the results we want.

They Made Me Feel

One of the common – but incorrect – statements that people make when they’re in an argument is, “You made me feel…”  It’s usually a person who has been hurt trying to connect their feelings to the actions (words or deeds) of another person.  In some cases, we can draw the connection between the actions and the resulting feeling.  In other cases, it’s harder.  Even in those times when the resulting feeling makes sense given the actions, that doesn’t mean that one person can cause another person to feel a certain way.  If it were possible, it would be a dangerous power for others to have.

Our feelings are, necessarily, a cognitive process that relies upon our experiences and our biology.  They are subject to our desires and our whims.  While one person’s actions can influence our feelings, they cannot directly cause us to feel a certain way or another – ultimately, we own our emotions.

I can hear it now.  “But you don’t know what they did.”  That’s true – but it really doesn’t matter.  We’ve met those people who have come out of a divorce happier than when they were married.  Infidelity and irresponsibility aside, they are happy that they can start on the next chapter of their life.  If people can choose their attitudes they find themselves divorced by a betrayal by the other person, can’t we choose our attitude when someone slights us?

One of the most common feelings that we ascribe to others is anger.  “You made me angry.”  They could have done something (or not done something) that we are angry about – but that doesn’t mean they made us angry.  There’s an intervening internal process.  Our process includes the judgement that we make about others’ behavior and how they might have violated it.  (See Emotion and Adaptation.)  This judgement is ours – and the disappointment it triggers is the precursor to anger.  Anger is just one example where our processing of the information creates the feeling – not the actions (or inactions) themselves.

It’s important, in a book titled Affective Neuroscience, to understand that it’s the way we process the world that creates our emotions and the meaning we take from it.

Emotions and Reason

Fundamental to cognitive behavioral therapy (CBT) is the awareness that our thoughts, emotions, and moods are intertwined.  When we think about something, we change our emotions, and our emotions change our ability to think.  (See Drive.)  If we were to think about the neurons that make up our brains as a very large and three dimensional spiderweb, when we tread on one of the strands, the other strands move, adjust, and vibrate in ways that cannot be isolated.

No doubt this is why Jaak Panksepp proposes that both behavior and reason are both linked to emotional arousal.  He suggests that there is probably no emotional state that is free of cognitive ramifications.  He goes on to say, “There is no emotion without a thought, and many thoughts can evoke emotion.”

Spontaneous Facial Expression of Emotion

Panksepp says, “The fact that the face spontaneously expresses emotionality is not controversial.”  At the time of publication, that was true.  In 1998, when Affective Neuroscience was first published, it was an established fact.  Lisa Feldman Barrett in How Emotions Are Made does, in fact, challenge this premise.  More broadly, she directly challenges the work of Paul Ekman.  (See Nonverbal Messages, What the Face Reveals, Telling Lies, and Emotional Awareness for his work.)  I agree with Panksepp’s perspective and don’t believe Barrett’s concerns about this are particularly warranted.

The spontaneous facial expression is important to the discussion of rationality and neuroscience, because the amount of time rational processing takes exceeds the time that these facial expressions are shown.  In other words, there must be multiple pathways from emotions – and not all of them are typically under conscious control.  When the spider web of our neurons makes sense of something that has an affective component, we may show it on our faces before we’ve been able to process it.

Overwhelmed

Panksepp says, “To be overwhelmed by an emotional experience means the intensity is such that other brain mechanisms, such as higher rational processes, are disrupted because of the spontaneous behavioral and affective dictates of the more primitive brain control systems.”  In part, this statement is an echo of Kahneman’s statement in Thinking, Fast and Slow that System 1 can lie to System 2.  However, there’s more to the statement in terms of the impact of being overwhelmed.

He doesn’t talk about the psychological defenses that we automatically deploy when we’re overwhelmed.  We can temporarily use compartmentalization to say that we’re not able to process all the emotion at the moment.  Nor does he discuss dissociation – the “not me” defense that can leave us feeling as if we’re watching the scene from outside our body.  (See Traumatic Stress and Trauma Therapy and Clinical Practice for more on compartmentalization and dissociation.)

With or without defenses, Panksepp is speaking about trauma.  Trauma, as he describes, opens the door for long-term serious mental illness.  (See The Myth of Normal for more about the relationship between trauma and mental illness.)

Four of Seven

Panksepp proposes that there are seven major emotional-behavioral-motivational systems in humans.  Four of them are:

  • Seeking – This system drives the desire to explore, investigate, and find rewards, essentially the motivation to actively pursue something
  • Panic – Associated with feelings of separation anxiety, loneliness, and distress when feeling disconnected from a caregiver or social group.
  • Rage – Represents anger, aggression, and the urge to fight back when threatened or frustrated.
  • Fear – The basic emotion of anxiety triggered by perceived danger, leading to “fight or flight” responses.

The remaining three are lust, care, and play.  Panksepp believes that it’s these systems that are the major systems that direct behavior in animals (including humans).

Reiss wrote about 16 motivators in Who Am I? and The Normal Personality.  These motivators don’t track to Panksepp’s systems directly, but they don’t contradict them either.  One of the challenges with trying to isolate the major motivators is that the frame that you look at the problem defines the problem.  Approaching from the neurobiological point of view often leads to different answers than when viewed from the behavioral perspective.

Distributed Parallel Processing

At the dawn of the computer revolution, most computers were made up of a central processor with a wide array of supporting electronics to take input, buffer data, and perform other operations while the central processor was too busy.  Mainframe computers boasted great overall processing capacity with limited amounts being able to be used.  The rise of the personal computer focused on one central processor with fewer supporting processors – but still many.  Eventually, personal computers gained multiple processors of equal performance.  The move to multiple processing went even further as video cards began supporting graphics processing units (GPUs) that could do hundreds of computations simultaneously.  (GPUs should really be called math processing units.)

While we can trace the changes in computer technology and identify which periods focused on a single central processor and which leveraged more distributed processing, we cannot make such a delineation for brains.  Every brain, from the lowest level to the highest order of thinking, fundamentally processes signals in a parallel and networked kind of way.

“A single neuron typically receives input from thousands of synapses.”  In other words, there’s no one signal that creates one output.  Instead, there’s a collection of inputs and conditions that drive an output of a neuron.  It’s one of the reasons why our simplistic, causal reasoning doesn’t hold up.  Neuroanatomically, there is no one cause to create a single neuron firing and therefore a single thought and a resulting single behavior.  It’s an illusion that serves us.  It helps us take in an overwhelming world of information and cope with it based on our limited capacity.  (See Thinking, Fast and Slow.)

Specialized Skin Tissue

What people rarely consider when thinking about our brains is that they are formed by a specialization of the embryonic ectoderm – the outermost layer of the embryo.  It specializes into many different organs, most notably the brain.  This understanding is important, as we often downplay the role our skin plays in our cognition.  Our brains are made of the same stuff as our skin, and we retain a deep connection to the signals that our skin provides to the brain.

Kindling

One of the challenges in studying the brain is the lack of indication of the underlying function.  A structural review of the brain often doesn’t reveal clear indications for why someone does – or does not – behave in a particular way.  Instead, there seems to be a yet unseen organization of information that doesn’t surface in a structural view.

Consider a process called kindling, where a targeted electrical stimulation is applied to the brain.  Once the electrical stimulation has occurred (a few times or even once), the brain will be particularly sensitive in that area – either by further direct electrical stimulation or natural activation of that area of the brain.

What makes this sensitivity interesting is that it doesn’t appear to be caused structurally.  There are no specific structural changes that can be identified – and thus the brain is both changed and unchanged at the same time.

Chemical Manufacturing

In some ways, our bodies – and our brains – are quirky chemical factories.  They crank out long chains of amino acids that are sliced up by enzymes into shorter chains of useful amino acids.  The whole process is a dance between the creation of the large and the targeted reduction into useful tools.  The complexity of this process means that if any part of the process gets out of balance, it can shift the availability of the neuropeptides – which has incalculable shifts in emotional processing.

Complicating this process is that the amino acids created by our bodies can have components that are consumed by different areas of our body.  Without a map, we can only guess the impact of a surplus or deficiency of these chemical messengers.

Blood-Brain Barriers

Our brains don’t have blood circulating through them.  Blood is kept out of the brain while vital amino acids and nutrients are allowed through.  Drug manufacturers are constantly trying to find ways to penetrate the blood-brain barrier to deliver pharmaceuticals to the neural tissue.  Obviously, many substances have psychoactive results.  However, in general, the blood-brain barrier – made of cells similar to our skin – is designed to enable only the “approved list” of things through.

The blood-barrier is a necessary protection and creates a challenge for the power hungry brain.  There’s a maximum rate of transfer – including for the transfer of glucose – and this can sometimes starve the brain when there has been sustained high consumption.  (See The Rise of Superman.)

Stimulating Governing

Imagine your doctor telling you to get your six-year-old child to like coffee.  You’d arrived with the problem of your child’s hyperactivity, and by now you’re scratching you head and wondering if your doctor had heard you right or if they have something seriously wrong with them.  This paradoxical recommendation for caffeine or other stimulants to address hyperactivity can be explained when we realize that there is a part of the child which is insufficiently activated.

It’s believed that children with hyperactivity may have insufficient cortical arousal and thus have less impulse control.  The psychostimulant (in this case, caffeine) increases cortical arousal and creates the capacity for decreased activity – because of a stimulant.

Defining Stress

Robert Sapolsky took a whole book to explain stress from an animal and human behavior perspective.  In Why Zebras Don’t Get Ulcers, he focuses on the biological impact of stress.  Panksepp offers a reason why approaching stress from a biological perspective is easier: “Psychologists have traditionally had a difficult time generating a satisfactory definition of ‘stress.’ In psychobiology, it is much easier: Stress is anything that activates the pituitary-adrenal system (the ACTH-cortisol axis).”  However, what this perspective doesn’t explain is why some people are stressed and others are not in the same circumstances.  It also doesn’t explain why some stress is good – and even necessary – while other stress can be harmful.

Mihaly Csikszentmihalyi’s work on flow may answer the first question.  Csikszentmihalyi discovered a psychological state that is highly productive, which he called flow.  (See Flow, Finding Flow, and The Rise of Superman.)  His critical observation is that flow exists in a narrow band where challenge and skill are balanced.  If the challenge far exceeded the skill, anxiety (and stress) would result.  If the challenge were insufficient, people would be bored.  Thus, the answer to why some people are stressed in a situation while others are not may hinge on their skill.

It’s important to qualify that, for Csikszentmihalyi, experience that was converted into inherent, tacit understanding still counts as skill.  Gary Klein’s internal models of situations and how they work that drive recognition primed decisions are a skill – and one that isn’t easy to teach.  (See Sources of Power and Seeing What Others Don’t.)  As a result, in most cases, the more experience we get with something, the less stress it will induce.  Trauma and the reinforcement that can happen is a notable exception.  (See Traumatic Stress.)

Nassim Taleb explains in Antifragile how we need stress to help us become stronger.  The stress needs to be the right kind, at the right intensity, and at the right time – but it’s essential to our growth.  In How We Learn, it’s called desirable difficulty.  We don’t remember well those things that we don’t try hard to learn.  The more that there is difficulty associated with our learning, the more we learn.

Stress Kills Brain Cells

Panksepp shares, “The neurons that contain the cortisol receptors can tolerate only so much stimulation. If cortisol secretion is sustained at excessive levels, the metabolic resources of hippocampal neurons become depleted and die prematurely. In short, a sustained stress response can kill certain brain cells!”  This is nearly identical to Sapolsky’s language in Why Zebras Don’t Get Ulcers.  Sapolsky goes on to explain how we’ve subsumed a process of stress and fear that was designed for short term use to deliver us to safety instead of the belly of a beast.  Instead of fearing the lion, our unique human gift of seeing into the future allows us to fear losing our job, our house, or relationships, and a variety of other things that threaten our psychological survival if not our physical survival.

The physical and neurological impacts of sustained stress are why we need to learn to manage our stress response.  Matthiew Ricard in Happiness encourages meditation, as does the Dalai Lama.  (See The Book of Joy and The Dalai Lama’s Big Book of Happiness.)

Dreams

Our brains take in overwhelming amounts of information while we’re awake.  We’re bombarded with visual and auditory information while needing to attend to our internal state and our sense of touch, smell, and taste.  Much of what we encounter isn’t processed in the moment.  Instead, during our sleep, we process our days, develop our long-term memories, and perform sense-making to the day.  This is why sleep is critically important for learning and for our health in general.

Dreams are what we experience while post-processing our days in REM sleep.  As Freud recognized, dreams are “windows to the soul.”  Panksepp expresses it this way: “Dreams tell us the way we really think and feel, not the way we pretend we think and feel.”  While we are conscious, we can delude others and ourselves as to what our beliefs are.  (See Immunity to Change for more on our ability to hide what we really believe while awake.)  Our dreams are unfiltered expressions of our true beliefs.

Schizophrenic Break

If you’ve never been around someone who has had a schizophrenic break – a disconnection from reality – I don’t recommend it.  It’s unsettling to see how someone can exist in reality and yet be so disconnected from it.  From a neurological point of view, schizophrenic breaks are interesting because, for the most part, “Schizophrenics do not exhibit any more REM than normal folks, except during the evening before a ‘schizophrenic break,’ when REM is in fact elevated.”  REM refers to the rapid eye movement (REM) phase of sleep.

Sleep helps us process our day and the information we’re taking in – both from our internal states (see How Emotions Are Made) and our external environment.  What the research seems to say is that, prior to the break, we see their minds struggling to find ways to make sense of the information that it’s receiving.

Slow-Wave Sleep

Slow-wave sleep (SWS) is an even deeper form of sleep than REM sleep and performs another important function.  Where REM sleep seems to be primarily integrating a day’s experiences, SWS seems to be designed to allow for bodily repair.  It seems to be when the body is the most relaxed and when the body’s natural repair systems are the most active.

It’s important to recognize that not all sleep is REM sleep.  Sleep is a like a layer cake, stacked from SWS and REM sleep to necessary but less restorative phases of sleep.

Love and Marriage

While it’s common to believe that we are totally monogamous by nature, Panksepp argues against this notion: “Indeed, it seems likely that human bonding is not totally monogamous by nature, but our neurobiology is compatible with long-term serial and parallel relationships.”  This is, of course, consistent with Helen Fisher’s work, Anatomy of Love.

Amygdala

Most people associate the amygdala with emotion.  It’s associated with fight or flight and a host of other basic – limbic – responses.  Panksepp explains, “The main reason the amygdala may appear to be so important in generating affect may arise largely from the fact that most emotional episodes in adult animals are closely linked to learning and cognitive appraisals.  These are the types of emotional stimuli that converge on the amygdala.”  In short, it’s implicated because all “neural roads” lead to it.  However, there’s much more involved in Affective Neuroscience.

Book Review-Suicide Clusters

Sometimes suicides don’t occur randomly across time and space.  Sometimes they seem to act like an epidemic or a contagion.  They start, and they drive more suicides than would be expected.  We call them Suicide Clusters.  In a previous review of Life Under Pressure, the authors took apart a single cluster trying to understand its causes and what could be done to stop the spread.

Suicide Clusters is more of a review of the suicide clusters that have occurred than an attempt to focus on how they form or what can be done to prevent them.

From the Start

It’s easy to believe that suicide clusters are a new phenomenon, but they appear to go back to at least the fourth century BC.  While there’s some question about the degree to which animals have the level of consciousness necessary to die by suicide, if we allowed that they did, there would be reports of mass animal deaths.  Aristotle was reportedly mystified by mass beachings of small whales that occurred routinely.

Death Myths

Some of what may make the contagion spread is a set of beliefs about death that aren’t realistic – and certainly can’t be verified.  There’s a belief that death is painless, but as Marcia Linehan says in Building a Life Worth Living, there’s no data to support that.  More broadly, some beliefs include the ability to observe others mourning the death.  The idea is that somehow someone can be dead and still be conscious, as if somehow death unmoors consciousness from the body.

Finding strategies for helping individuals challenge their beliefs about what death might mean – and particularly how it might be better – is an important deterrent to the development of suicide clusters.

Media Coverage

Much has been made of the impact of the media, including news reports, books, films, and TV series, on suicide rates.  These effects are real, and they are why there are recommendations for the media for how to report on a suicide death.  The short version of these guidelines is to not glamorize the death.

In Community

These are guides for how schools and communities can use to craft their responses as well, but these guides are often filled with contradictions that are difficult to navigate.  Finding a path that acknowledges suicide as a mode of death but doesn’t glamorize it isn’t easy.  Allowing meetings and memorials in ways that are consistent with other deaths seems easy, but it’s not.

However, the effort is necessary to help prevent Suicide Clusters.