Core Finding
The author reads the pattern as having two main purposes, among others. First, a fear campaign, which, in the author’s view, religious faith, prayer and practice can cancel entirely. Second, isolating targets in order to map their network, then applying the same treatment to each person in it.
Fear. In his 2020 report to the UN Human Rights Council on psychological torture, the Special Rapporteur on Torture, Nils Melzer, calls “the deliberate and purposeful infliction of fear” “perhaps the most rudimentary method of psychological torture.” He adds that “prolonged experience of fear can be more debilitating and agonizing than the actual materialization of that fear.”6 This collection was submitted to his office’s call for input.4
Isolation and the network. The same report lists the basic human needs that psychological torture attacks. They include security (“inducing fear, phobia and anxiety”), “social and emotional rapport (isolation, exclusion, emotional manipulation)” and “communal trust.” It names cyber-harassment, surveillance, public shaming and defamation as ways to inflict such suffering.6 The best-documented case of targeting a person through their network is the East German Stasi’s Zersetzung (“decomposition”). Its Directive 1/76 (January 1976) prescribed the “systematic degradation of reputation, image, and prestige” and the “systematic engineering of social and professional failures.” Its stated goal was the “fragmentation, paralysis, disorganization, and isolation” of targets, and officers worked through the target’s friends, family and colleagues. The historian Mike Dennis estimates 4,500–5,000 such cases a year in 1985–88.8
Faith. Studies of torture survivors find that prior conviction protects. Başoğlu and colleagues (1997) compared 55 tortured political activists with 34 survivors who had no political involvement. Those without prior commitment suffered more during torture and more afterward, even though their torture had been less severe.7 The protective factor was commitment to the very cause for which the person was targeted. It follows that where the persecution is aimed at the faith itself, as in the PRC’s campaigns against Catholics loyal to Rome, religious faith, prayer and practice are that commitment. The believer knows why he is targeted and what he holds to, and the fear loses its purchase.
These sources show how fear and isolation work where they are proven to have been used. They do not by themselves show that the harassment the writers describe is organized this way.
The writers describe one recurring pattern, being followed, watched and undermined by strangers and neighbors; they say the police rarely acted and clinicians called them ill; and the sample itself reflects the organization's own network more than California's population.
Source and Method
The source is a compiled PDF of 90 testimony forms, dated June to October 2019 (one dated 2018), submitted by the group Advocacy for Humankind to the UN Office of the High Commissioner for Human Rights (OHCHR), under the NGO submissions to the Special Rapporteur on Torture.4 A companion submission reports survey counts of 417 self-reported victims across California, gathered by two support groups, with no breakdown by gender, age or ethnicity.5 The form asked for name, city and ZIP, then four questions: whether the person had experienced coordinated stalking, reported it to law enforcement, been misdiagnosed by mental-health professionals, and what the effects on their life had been. Later forms added a question on moving.
This submission was prepared for the UN Special Rapporteur on Torture’s 2019 consultation on psychological torture, which informed his report A/HRC/43/49 (2020). It was published on the website of the Office of the High Commissioner for Human Rights (OHCHR), including the names, cities, and zip codes that contributors supplied, and remained publicly available there for years before being removed. It is preserved in the Internet Archive (archived copy, 30 September 2020). This page does not reproduce any contributor’s name.
Two people sent the form twice (#22/#23 and #85/#86), so these were merged, giving 88 testimonies. Entry 13 is written by two sisters, so the count of people is 89. Each testimony was read completely and coded against a fixed list; a keyword search served as a cross-check. Hover or focus any bar to see the entry numbers behind it.
Who Wrote
The form did not ask for gender, age, ethnicity or occupation. Gender here comes from first names; location from ZIP codes.
Names as a Demographic Lens
The form did not ask about ethnicity or age, so these estimates come from names. They describe the group as a whole, not any one person.
Ethnicity
Each person's surname, ZIP code and first name were combined using the U.S. Census method known as BISG (Bayesian Improved Surname Geocoding). The result is a probability for each Census group. Compared with the population of their own ZIP codes, the writers lean white: an estimated 62%, against 47% in their neighborhoods. They lean less Hispanic, 20% against 31%, and somewhat less Asian or Pacific Islander, 7% against 12%. Black writers match their neighborhoods, at 8% against 6%. The white and Hispanic gaps are about two standard errors, suggestive but borderline once six groups are tested.
The most likely explanation is how the testimonies were gathered. Collections like this spread through an organization's own contacts, support groups and referrals, and one writer (#51) runs such groups in several states. The form was also in English. Recruitment that follows existing ties can leave whole communities out. Not one writer has a Chinese or Korean surname, although Chinese Americans alone are roughly 3–4% of Californians and more in the Bay Area. On that figure about three would be expected, and a sample with none would occur only about one time in 25. The Asian and Pacific Islander writers who do appear are Samoan, Filipino, Vietnamese, Lao and South Asian. These gaps describe who the organization reached, not who experiences this.
The method also has blind spots. Married names hide origin, and the Census counts Middle Eastern and Persian people as white.
Surname origin
Coded by language of origin, the surnames are mostly from the British Isles (44). Next come Spanish (15), German or Scandinavian (6), German or Ashkenazi Jewish (4) and Italian (4). Smaller groups are Persian, Samoan, Eastern European, Greek, Arabic, Filipino, Vietnamese, Lao, Portuguese and South Asian. Some first names show an origin the surname hides: Colombian, Japanese, Persian, Samoan and Lao. Only one writer states their own background (#81, Indian-Muslim).
Estimated ethnicity made no clear difference to outcomes. White-leaning and Hispanic-leaning writers reported to police at similar rates (66% and 71%).
Age
Birth years were estimated from Social Security name counts for 1915–2001, adjusted for survival to 2019. This works for 79 of 89 people. As a group, the estimates match the US adult population almost exactly, with a median around 50, so first names alone reveal no age pattern here. The six writers who state an age, or give enough to work one out, all sit at or above the older end of their name's range. That hints the group is older than names suggest, but six people is too few to show it.
What They Describe
The same small set of experiences comes up again and again: being followed in public and on the road, then damage to property and a sense of being watched. Most writers describe several of these together. The median testimony names three kinds; eleven name none, only saying they are a victim.
Contact with Law Enforcement
Two in three say they went to the police, a sheriff or the FBI. Of those, over half say nothing came of it. About one in five say officers treated them as mentally ill or sent them toward psychiatric care.
Mental-Health Contact
The form asked, “Have you been mis-diagnosed by mental health professionals?” Nearly half say yes. Their word is misdiagnosed: almost all reject the diagnosis they were given. The most common diagnoses they report are schizophrenia and paranoid or delusional disorders, often with medication or a hold they say they did not agree to.
Effects on Their Lives
Moving house is the most common effect, and it is often repeated. Several writers say they moved five, nine or “over 10” times, and that the harassment started again at each new address. Next come emotional strain, money, isolation and losing work. The typical story is a slide: job, then savings, then friends and family, sometimes all the way to homelessness.
What the writers say it is for
Several writers describe the harassment as having a purpose, not only effects. The most common is fear. Nineteen testimonies describe living in fear, and some name it as the aim: #51 says a confrontation’s “intent … was to invoke fear,” and #67 describes “scare tactics to keep me in fear of my life 24/7.” The second is isolation. Thirty-two testimonies describe losing friends or being cut off, ten say family members were also targeted, and #91 describes strangers who “want to become friends only to turn out as perpetrators gathering intel in order to influence old friends.” Four writers name religious faith as what sustains them; none says faith ended the harassment. These are the writers’ own interpretations, and the page reports them as such.
Five testimonies mention thinking about death or suicide, and one describes a past attempt. One writer (#62) says her father described the same experience in letters he left before his suicide in 1992.
Women and Men Compared
Hypothesis H1: most writers are women
By first name, 44 people are women, 37 are men, and 8 names do not show gender; one of those (#7) is a man by his own text (“my son and wife”). With him counted, women are 44 of 82, or 53.7%. A one-sided binomial test against 50% gives p ≈ 0.29, with a 95% interval of 43–64%. H1 is not supported. Even if every unclear name were a woman (52 of 89, 58.4%), p ≈ 0.07.
| Treatment of unclear names | Women | Share | 95% interval | p (one-sided) |
|---|---|---|---|---|
| Left out | 44 / 81 | 54.3% | 43.5–64.7% | 0.25 |
| #7 counted as male (main) | 44 / 82 | 53.7% | 42.9–64.0% | 0.29 |
| All 8 counted as male | 44 / 89 | 49.4% | 39.3–59.6% | 0.58 |
| All 8 counted as female | 52 / 89 | 58.4% | 48.0–68.1% | 0.07 |
What women and men describe
This compares the 43 testimonies from women with the 38 from men. The biggest gap is fear and staying at home: 35% of women mention it, against 11% of men. Women also mention physical health decline, family strain and involuntary holds more often. But the sample is small and 27 comparisons were made. Once that is accounted for, none of the differences is statistically reliable. Treat them as leads for a larger study, not findings.
| Item | Women | Men | Compared | p | p, corrected |
|---|
Fisher's exact test, two-sided; Holm correction for multiple comparisons. The 7 testimonies whose gender is unclear are left out.
Shared Vocabulary
The writers use a shared set of terms, many of which appear on gang-stalking support forums. That suggests many learned to name the experience from one another; one writer (#51) says she runs support groups in several states. Two of the terms come from the form's own questions (“coordinated stalking,” “misdiagnosed”), so counts for those are inflated.
Limits
Mentions, not prevalence
A count means a testimony mentions something. A short answer like “Yes. Yes. No.” cannot be coded, so every percentage is a lower bound.
The questions shape answers
The form asked about police, misdiagnosis, moving and effects, so those topics appear more than they might in free accounts.
Who the organization reached
Writers chose to submit to an advocacy collection gathered through its own network, in English. They cannot stand in for everyone who reports this experience.
One coder
A single reader coded every testimony, with a keyword cross-check but no second rater. The keyword pass agreed on 22 of 27 “hacked” codes and about three in five “followed” codes; most disagreements were figures of speech.
Sample size: large enough; selection is the constraint
A common rule of thumb holds that from about 30 observations (the author uses 33 as the threshold), the Student t distribution is close to the normal and standard large-sample methods become reliable. The page’s main samples clear it easily: 88 testimonies, 89 people, and 81–84 in the comparisons. Its tests on shares (binomial and Fisher exact) are valid at any size. Subsets below the threshold are marked as too small to generalize: 22 stated durations and 6 stated ages. The constraint on this sample is not its size but how it was gathered.
Testing the accounts
One hypothesis holds that targets are kept from knowing one another, and that if two do meet, at least one is recruited and told what happened. If this is correct, connections within a group of N people could bring the truth to N − 1 of them, leaving only the highest-priority target uninformed. The hypothesis can be tested one meeting at a time, provided the terms are fixed in advance: after each meeting between consenting participants, both record within a set period, such as 90 days, whether either was approached. Meetings after which both report no contact would count against the hypothesis. One limitation remains: if a recruited person is also instructed to conceal it, their report cannot be verified, and the test depends on participants’ honesty.
Readers who regard these accounts as delusion need not rely on the author’s analysis. Anyone who already knows a person making such an account, a relative, friend, or neighbor, can, with that person’s agreement, spend time in their surroundings and record what they observe. If the accounts are accurate, the visitor would expect to encounter some of the same patterns: repeated vehicles, unusual attention, or contact from officials. If nothing of the kind appears over a reasonable period, that is also evidence. Such observations are most useful when written down at the time, with dates, and compared against what the visitor would expect to see by ordinary chance.
Codebook
Every testimony by entry number, so any count can be checked against the source PDF. Names are left out on purpose.
Show all 88 coded testimonies
| # | Gender | Region | Tactics | Involved | Effects | Police | Mental health |
|---|
References
- U.S. Census Bureau. Frequently Occurring Surnames from the 2010 Census; 2010 race and ethnicity by ZIP Code Tabulation Area, as packaged in the open-source surgeo library.
- Tzioumis, Konstantinos. “Demographic aspects of first names.” Scientific Data 5 (2018): 180025. First-name tables as packaged in surgeo.
- U.S. Social Security Administration. Beyond the Top 1000 Names: national data, 1880–2016.
- Advocacy for Humankind. Testimonies of Coordinated Stalking by Multiple Persons from California Residents and Former California Residents (compiled PDF, 90 entries, 2019). Submission to OHCHR, Special Rapporteur on Torture, call for input (NGOs). Archived copy (Wayback Machine, 30 Sep 2020). Source document for all counts.
- Advocacy for Humankind, with the Bay Area Support Group and the Surveillance Harassment Survivors Alliance. AFH Data on Self-Reported Victims of Coordinated Stalking in California (undated). Submission to OHCHR. ohchr.org.
- Melzer, Nils. Psychological Torture and Ill-Treatment: Report of the Special Rapporteur on Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment. UN Human Rights Council, A/HRC/43/49, 2020, paras. 46–48, 85. ohchr.org.
- Başoğlu, Metin, et al. “Psychological preparedness for trauma as a protective factor in survivors of torture.” Psychological Medicine 27, no. 6 (1997): 1421–1433. cambridge.org.
- On Zersetzung and Stasi Directive 1/76: Sandra Pingel-Schliemann, Zersetzen: Strategie einer Diktatur (2004); Mike Dennis, The Stasi: Myth and Reality (2003); overview with translated excerpts at Wikipedia, “Zersetzung”.