
Quandaries · July 2026
On Chemistry
Seven systems running underneath the personality — dopamine, oxytocin, norepinephrine, cortisol, endorphins, serotonin, GABA. Not a horoscope with better vocabulary. The actual machinery, what it’s for, and where it stops explaining me.
The worst week of a marathon training block isn’t the 20-miler. It’s taper week — the two weeks before the race where the volume drops on purpose, the legs feel fresh, and I feel worse than I did grinding through peak mileage. More irritable, more anxious, weirdly flat. For a long time I filed that under personality: I don’t do well with less to do. It isn’t personality. It’s a hormone with fewer places left to discharge, and it has a name and a half-life. That’s the thesis of this piece: most of what reads as “just how I am” is a small number of chemical systems doing exactly what they evolved to do, in a body that is currently running a founder’s workload, a coaching practice, and marathon training on top of it. Knowing the mechanism doesn’t excuse the behavior. It does tell you which lever to pull.
Seven systems, at a glance
Dopamine
The wanting system
Fires on the gap between expected and actual reward, not on reward itself. Drives pursuit, not satisfaction.
Oxytocin
The bonding system
Lowers the felt cost of trust and vulnerability. Released by touch, eye contact, and being relied on.
Norepinephrine
The alarm system
Sharpens focus and mobilizes the body under threat. Helpful until the dose outruns the task.
Cortisol
The stress axis
Slower, longer-acting than adrenaline. Peaks at waking, should decline through the day. Doesn't always.
Endorphins + eCBs
The exertion reward
Paid out after sustained effort, not before. The mechanism behind why hard workouts get easier to want.
Serotonin
The steady state
Tonic, not phasic — regulates the baseline mood dopamine's spikes happen on top of.
GABA
The brake
The brain's main inhibitory signal, the counterweight to glutamate. A single hard workout measurably raises it.
One body, five moments
Jenn under load
A qualitative reading of the mechanisms in this essay, not a clinical measurement.
What I notice
Less mileage, no less activation
The familiar outlet disappears before the stress rhythm has caught up. The body is rested; the subjective experience is not.
The wanting system
Dopamine has a reputation as the “pleasure chemical.” It isn’t. Wolfram Schultz’s recordings from single dopamine neurons found something more specific and more useful: the cells fire on reward prediction error— the gap between what was expected and what actually happened, not the reward itself[1]. A fully predicted reward that arrives on schedule gets no response at all. An unexpected one gets a burst. A predicted one that fails to show gets a dip below baseline, timed to the exact moment it was supposed to land.
Figure 1
Same dopamine neuron, three outcomes — burst, silence, or dip
Stylized reconstruction of the classic finding[1]: a burst at the earliest reliable cue, nothing at a fully predicted reward, and a dip below baseline exactly when a predicted reward fails to show up. The signal isn’t tracking reward itself — it’s tracking the gap between what was expected and what happened. That’s why hitting a goal you saw coming a mile away barely registers, and why the version of you that expected to fail feels the miss twice as hard.
Kent Berridge and Terry Robinson pushed this further and split dopamine’s job in two: wanting(pursuit, effort, the drive to go get something) is dopamine-dependent; liking (the actual pleasure once you have it) runs mostly on a separate opioid system[2]. Dopamine-depleted rats still show every sign of enjoying sucrose once it’s in front of them. They just won’t work for it anymore. Wanting and liking can come apart completely.
That’s the mechanism behind a pattern I know well: the milestone stops feeling like enough the moment it’s hit. Not because I don’t value it — the liking system is fine. It’s that the wanting system doesn’t pay out on arrival. It paid out on the gap, and the gap is gone, so it’s already scanning for the next one. I wrote about the founder version of this appetite in On Ambition without knowing the neural name for it. The name is reward prediction error, and it explains why the fix was never going to be a bigger milestone.
The bonding system
Oxytocin doesn’t create warmth out of nothing. It lowers the price of trusting someone you don’t yet have proof about. In the clearest demonstration of this, 128 men played a one-shot trust game with real money after a nasal spray of either oxytocin or placebo[3]. Paul Zak and colleagues have since run versions of this with generosity, not just trust, as the outcome, and found the same shape[4]: give people more oxytocin, and the leap of extending trust to a stranger gets measurably smaller.
Figure 2
A whiff of oxytocin doubles the share of investors who trust with everything
128 men played a one-shot trust game with real money after a nasal spray of either oxytocin or placebo[3]. 45% of the oxytocin group handed their partner the maximum possible amount, versus 21% on placebo — and the median transfer rose from 8 tokens to 10 out of 12. Nothing about the partner changed. The only variable was a hormone that made the leap of trust feel smaller.
In pair-bonding species, the same system (oxytocin plus its close relative vasopressin) is what turns a mating encounter into a durable attachment — the difference between prairie voles, who pair for life, and their close cousin the montane vole, who doesn’t, tracks almost entirely to oxytocin and vasopressin receptor density in the brain’s reward circuitry[5].
I used to think of warmth and being a hard-nosed coach as two different settings I had to switch between. The actual mechanism argues they run on the same circuit: a coaching debrief after a brutal workout with one of my runners works because the earned trust makes the next hard ask land, not despite it. I wrote about that trade directly in On Mentorship. This is the chemistry underneath the “warm demander” framing — not a personality trick, a system that makes vulnerability cheaper once trust is banked.
The alarm system
Walter Cannon named it “fight or flight” in 1915: under threat, the adrenal medulla dumps adrenaline, the sympathetic nervous system takes over, and the body redirects blood, glucose, and attention toward whatever is about to happen[6]. In the brain, the matching system runs on norepinephrine out of a small structure called the locus coeruleus, which acts like a gain knob on the rest of the brain — turn it up and focus narrows and sharpens; turn it up too far and that same focus becomes unable to disengage from the threat long enough to think[7].
Figure 3
The optimal dose of adrenaline depends entirely on how rehearsed the task is
Yerkes and Dodson’s 1908 finding was never a single universal curve — it was that the arousal level for peak performance shifts left as a task gets harder or less rehearsed[8], a distinction the popular “inverted U” version usually drops[9]. A well-rehearsed marathon pace tolerates a lot of norepinephrine before it falls apart. A cold-open pitch to a room of investors doesn’t — the same adrenaline that sharpens the run can wreck the pitch, at a noticeably lower dose.
The popular version of this — performance rises with arousal, then falls, one universal curve — flattens the actual 1908 finding, which is that the peak shifts left as the task gets harder or less rehearsed[8]; a century of citing it as one fixed law has been flagged directly as a misunderstanding of the original data[9]. A well-drilled task tolerates a lot more adrenaline before it breaks down than a novel one does.
Race pace on a course I’ve run in training a dozen times is the rehearsed condition — the adrenaline sharpens it. A cold-open pitch to investors is the novel condition, and the same spike that helps the run works against the pitch. Same chemical, same gland, completely different optimal dose, because the task is different.
The stress axis
Cortisol runs on a slower clock than adrenaline — minutes and hours, not seconds — through the hypothalamic-pituitary-adrenal axis. In a healthy rhythm, it spikes 50% or more in the first 30 to 45 minutes after waking (the “cortisol awakening response”), then declines steadily across the day[10]. Bruce McEwen’s concept of “allostatic load” is the cost of that system getting activated over and over without enough recovery between activations — not damage from any one spike, but wear from a system that never fully resets[11].
Figure 4
The wake-up spike is measured. The taper-week plateau is my inference, not a citation
The solid line is documented: cortisol rises 50% or more in the first 30–45 minutes after waking, then declines across the day[10]. The dashed line is my own bridge between two documented facts, not a curve any single study measured: taper weeks are reliably linked to mood disturbance[13], and a hard afternoon session is one of the few reliable ways to burn off circulating cortisol. Cut the session, and the afternoon decline that training normally provides doesn’t show up.
Robert Sapolsky’s framing of this is the one that stuck with me: a zebra that outruns a lion has its stress response shut all the way off within minutes of reaching safety. A person who survives a bad client call keeps replaying it at midnight, and the replaying keeps the same physiological system switched on long after the actual threat is gone[12]. Rumination is the human-specific failure mode of the same system: built for animals that shut it off and reach a species that mostly doesn’t.
Taper week is the honest version of this for me. Sports-science reviews of tapering document real mood disturbance during the reduced-volume weeks before a race, tracked through standard mood inventories[13]. The mechanism — a hard training session is normally where a day’s worth of cortisol gets used up, and removing the session removes the outlet without removing the hormone — is my own read of why, not something the review measured directly.
The exertion reward
The runner’s high has a real mechanism, and it took until 2008 to get direct evidence for it in a human brain rather than a blood draw — endorphins don’t cross the blood-brain barrier easily, so measuring them in blood was never proof of what was happening in the skull. Ten trained runners were scanned with PET imaging before and after a 2-hour, roughly 21.5km run. Self-reported euphoria rose from 37.6 to 73.3 out of 100, and the increase tracked with reduced opioid-receptor binding — more opioid released, so fewer receptors were free for the tracer to find — specifically in the brain’s emotion-processing regions[14].
Figure 5
Two hours in: euphoria measured at 37.6 before, 73.3 after — out of 100
Ten runners scanned before and after a 2-hour, ~21.5km run: euphoria ratings nearly doubled, and the increase tracked with lower opioid-receptor binding in the brain’s emotion-processing regions[14]. The dip around minute 15–25 is real too, just not from this paper — it’s the low point most distance runners describe before the legs stop negotiating. Anandamide, not just endorphins, appears to do a lot of the later lifting: it spikes after running but not walking, in humans and in other animals built to run[15].
A separate line of work suggests endorphins aren’t doing this alone. Anandamide, an endocannabinoid, spikes measurably after sustained running in both humans and dogs — species built for endurance running — but not in ferrets, and not after walking[15]. That’s a strange, specific finding: the reward system isn’t rewarding exertion in general. It’s rewarding the particular kind of sustained aerobic effort that cursorial animals evolved to do.
None of that is available on mile two. It shows up late, after the system decides the effort is real and sustained — closer to mile sixteen than mile two, on my own watch. It’s the thing I tell Ian and Max before their first long run past 18 miles: the part that makes you want to quit is scheduled to happen before the part that pays out, not after it.
The steady state
GABA is the brain’s main brake — the inhibitory counterweight to glutamate’s excitation, and the receptor benzodiazepines act on. A single bout of vigorous exercise measurably raises both GABA and glutamate in the visual cortex within the same session[16], which is a more mechanistic answer than I expected to “a hard workout clears my head” — it isn’t a metaphor. The brake system gets a real, short-term boost.
Serotonin doesn’t spike and dip the way dopamine does. It’s tonic rather than phasic — a slower-moving regulator of mood and behavioral restraint that the phasic systems operate on top of[17], associated more with harm avoidance and behavioral inhibition than with pursuit or reward[18]. It responds to diet, sunlight, and exercise on the order of days, not seconds — which is a large part of why fixing a bad mood by chasing a dopamine spike (a new project, a new purchase) doesn’t actually work, and going outside sometimes does.
Figure 6
One slow wave, three spikes riding on top of it
Serotonin’s tonic baseline versus dopamine’s phasic bursts[17]: the exact spike timing here is illustrative, not a continuous recording, but the shape is the point — the slow line barely moves across a whole day, while the fast one fires and resets in minutes, three separate times, on top of it.
Where it runs out
The honest caveat: none of this is destiny. A year of aerobic exercise physically grew brain tissue in adults in their sixties and seventies — a measurable increase in hippocampal volume, not a metaphor[19]. If a system this “fixed” is still building new volume on a one-year timescale, treating any of these seven systems as a life sentence is a category error. Twin studies put the heritability of major personality traits around 40 to 50 percent[20], which means roughly half of the variance is something other than fixed wiring — environment, practice, circumstance, and the parts of a life nobody can fully model.
The other honest caveat is about who gets to use any of this. Everything in this piece assumes a person with room to structure a taper, book a therapy session, and choose when to train — a level of control over one’s own schedule and stress exposure that is itself a resource, not a given. Knowing the mechanism behind a bad week is a genuine advantage. It is not available to everyone on the same terms, and I’d rather say that outright than write around it.
What I do think holds: the discomfort of taper week has a name now, and it isn’t a personal failing. It’s cortisol with nowhere to go. The founder-brain restlessness the moment a milestone lands has a name too — reward prediction error, already scanning for the next gap. None of that makes the feelings optional. It does mean I stopped arguing with them and started scheduling around them.
The synthesis
My operating manual
Working hypotheses from this essay, not diagnoses or prescriptions.
The milestone already feels old
Wanting outlives liking
Mark the arrival before choosing the next target
Taper week feels louder than peak week
The stress rhythm lost its usual outlet
Keep the structure; replace intensity with gentler discharge
A cold pitch becomes tunnel vision
Arousal outran a novel task
Rehearse until the task costs less attention
A hard workout clears my head
The inhibitory system catches up
Protect the recovery window instead of filling it
Trust feels expensive
The bonding system has too little evidence
Make one small bid for connection before certainty
Where it connects
The bonding system, applied
Why care is the active, giving-side version of the same oxytocin mechanism this essay maps.
On Mattering →The wanting system, applied
Reward prediction error as the neural mechanism behind an appetite that runs through the work itself, not what the work gets you.
On Ambition →Cortisol and exertion, in a studio
What sustained muscular effort under tension does to the same stress and reward systems, at a smaller scale than a marathon.
The Solidcore Formula →The exertion reward, at 26.2 miles
Where the wanting system, the alarm system, and the exertion reward all show up in the same race.
Boston Marathon →Sources20 referencesShow
[1]Schultz, Wolfram, Peter Dayan, and P. Read Montague. “A Neural Substrate of Prediction and Reward.” Science 275, no. 5306 (1997): 1593–1599. Single-neuron dopamine recordings establishing the reward-prediction-error signal used in Figure 1.
[2]Berridge, Kent C., and Terry E. Robinson. “What Is the Role of Dopamine in Reward: Hedonic Impact, Reward Learning, or Incentive Salience?” Brain Research Reviews 28, no. 3 (1998): 309–369. The wanting/liking dissociation.
[3]Kosfeld, Michael, Markus Heinrichs, Paul J. Zak, Urs Fischbacher, and Ernst Fehr. “Oxytocin Increases Trust in Humans.” Nature 435 (2005): 673–676. Nature. n = 128 male students; 45% of the oxytocin group transferred the maximum trust amount versus 21% on placebo; median transfer 10 vs. 8 of 12 tokens. Source for Figure 2.
[4]Zak, Paul J. The Moral Molecule: The Source of Love and Prosperity. Dutton, 2012. See also Zak, Stanton & Ahmadi, “Oxytocin Increases Generosity in Humans,” PLoS ONE 2, no. 11 (2007): e1128.
[5]Carter, C. Sue. “Oxytocin Pathways and the Evolution of Human Behavior.” Annual Review of Psychology 65 (2014): 17–39. Prairie vole vs. montane vole receptor-density comparison and the broader oxytocin/vasopressin pair-bonding literature.
[6]Cannon, Walter B. Bodily Changes in Pain, Hunger, Fear and Rage. D. Appleton and Company, 1915. Origin of the “fight or flight” framing and the adrenal-medulla mechanism.
[7]Aston-Jones, Gary, and Jonathan D. Cohen. “An Integrative Theory of Locus Coeruleus-Norepinephrine Function: Adaptive Gain and Optimal Performance.” Annual Review of Neuroscience 28 (2005): 403–450.
[8]Yerkes, Robert M., and John D. Dodson. “The Relation of Strength of Stimulus to Rapidity of Habit-Formation.” Journal of Comparative Neurology and Psychology 18, no. 5 (1908): 459–482. The original finding: optimal arousal depends on task difficulty, not a single fixed curve.
[9]Diamond, David M., Adam M. Campbell, Collin R. Park, Joshua Halonen, and Phillip R. Zoladz. “The Temporal Dynamics Model of Emotional Memory Processing.” Neural Plasticity 2007, Article ID 60803. Describes the Yerkes-Dodson law as “well-cited, but misunderstood.”
[10]Pruessner, Jens C., et al. “Free Cortisol Levels after Awakening: A Reliable Biological Marker for the Assessment of Adrenocortical Activity.” Life Sciences 61, no. 26 (1997): 2539–2549; Clow, Angela, et al. “The Cortisol Awakening Response: More Than a Measure of HPA Axis Function.” Neuroscience & Biobehavioral Reviews 35, no. 1 (2010): 97–103.
[11]McEwen, Bruce S. “Protective and Damaging Effects of Stress Mediators.” New England Journal of Medicine 338, no. 3 (1998): 171–179. Origin of “allostatic load.”
[12]Sapolsky, Robert M. Why Zebras Don’t Get Ulcers, 3rd ed. Holt, 2004. The zebra/rumination contrast is Sapolsky’s framing, built on the McEwen allostatic-load literature above.
[13]Mujika, Iñigo, and Sabino Padilla. “Scientific Bases for Precompetition Tapering Strategies.” Medicine & Science in Sports & Exercise 35, no. 7 (2003): 1182–1187. Review documenting mood disturbance during taper, tracked via standard mood inventories. The cortisol time-course in Figure 4 is my own inference, not a finding from this review.
[14]Boecker, Henning, et al. “The Runner’s High: Opioidergic Mechanisms in the Human Brain.” Cerebral Cortex 18, no. 11 (2008): 2523–2531. PubMed. n = 10 athletes, PET imaging, 2-hour run (21.5 ± 4.7 km); euphoria 37.6 ± 19.6 to 73.3 ± 13.2 of 100, inversely correlated with opioid-receptor binding. Source for Figure 5.
[15]Raichlen, David A., et al. “Wired to Run: Exercise-Induced Endocannabinoid Signaling in Humans and Cursorial Mammals with Implications for the ‘Runner’s High.’” Journal of Experimental Biology 215, no. 8 (2012): 1331–1336. Anandamide rises after running in humans and dogs but not in ferrets, and not after walking.
[16]Maddock, Richard J., Gretchen A. Casazza, Dione H. Fernandez, and Michael I. Maddock. “Acute Modulation of Cortical Glutamate and GABA Content by Physical Activity.” Journal of Neuroscience 36, no. 8 (2016): 2449–2457. A single bout of vigorous exercise (≥80% predicted max heart rate) raised both glutamate and GABA in the visual cortex.
[17]Young, Simon N. “How to Increase Serotonin in the Human Brain without Drugs.” Journal of Psychiatry & Neuroscience 32, no. 6 (2007): 394–399.
[18]Cools, Roshan, Robert Nakamura, and Nathaniel D. Daw. “Serotonin and Dopamine: Unifying Affective, Activational, and Decision Functions.” Neuropsychopharmacology 36, no. 1 (2011): 98–113; see also Cools et al., “Serotonergic Regulation of Emotional and Behavioural Control Processes,” Trends in Cognitive Sciences 12, no. 1 (2008): 31–40.
[19]Erickson, Kirk I., et al. “Exercise Training Increases Size of Hippocampus and Improves Memory.” Proceedings of the National Academy of Sciences 108, no. 7 (2011): 3017–3022. PNAS. n = 120 older adults, randomized, one year of aerobic exercise increased anterior hippocampal volume by roughly 2%, correlated with serum BDNF.
[20]Bouchard, Thomas J., and Matt McGue. “Genetic and Environmental Influences on Human Psychological Differences.” Journal of Neurobiology 54, no. 1 (2003): 4–45. Twin-study heritability estimates for major personality traits, roughly 40–50%.