Nano-MCDA Het Doet Je Wat! Live.
🍻💊🚬🍄🍚

Dit zijn de resultaten van de Multicriteria Decision Analysis die het publiek van de “Het Doet Je Wat! Live.”-avond in de Werkspoorkathedraal in Utrecht op vrijdag 6 november 2026.

Dit bestand staat op https://mcda.mdmabeleid.nl/, en het bijbehorende zogenaamde “Git repository” staat op https://codeberg.org/nightlife/nano-mcda-het-doet-je-wat.

De slides die hierbij horen staan op https://doi.org/rv6z, en de bijbehorende blog post met alle links staat op https://edu.nl/fgnv9.

Als je dit interessant vond, vind je de filmpjes die ik heb opgenomen met de Universiteit van Nederland misschien ook interessant. Daar link ik naar vanaf deze blog post.

Broncode (berekeningen etc)

Setup

### "Slugs": parts of variable names used for easy selection

criteriaSlugs <- c("damageSelf", "damageOther",
                   "benefits", "addiction");
names(criteriaSlugs) <- criteriaSlugs;

drugSlugs <- c("Alcohol", "Ecstasy", "Nicotine",
               "Mushrooms", "3MMC");
names(drugSlugs) <- drugSlugs;

criteriaSlugs_recoded <- paste0(criteriaSlugs, "_recoded");
names(criteriaSlugs_recoded) <- criteriaSlugs_recoded;

drugSlugs_recoded <- paste0(drugSlugs, "_recoded");
names(drugSlugs_recoded) <- drugSlugs_recoded;

titles <-
  list(criterion =
         list(damageSelf = "Schade gebruiker",
              damageOther = "Schade anderen",
              benefits = "Voordelen",
              addiction = "Verslavingsrisico"),
       drug =
         list(
           "Alcohol" = "Alcohol 🍻",
           "Ecstasy" = "Ecstasy 💊",
           "Nicotine" = "Nicotine 🚬",
           "Mushrooms" = "Paddo's 🍄",
           "3MMC" = "3MMC 🍚"
         )
  );

originalDrugOrder <- unlist(titles$drug);

weightSigns <-
  list(
    damageSelf = 1,
    damageOther = 1,
    benefits = -1,
    addiction = 1
  );

estimateVarNames <-
  apply(
    expand.grid(criteriaSlugs, drugSlugs),
    1,
    paste,
    collapse="_"
  );

Functiedefinities

ratingsToScores <- function(ratings,
                            weights,
                            weightOrder = names(weightSigns)) {
  return(mean(ratings * (unlist(weightSigns[weightOrder]) * weights)));
}

Data importeren

### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Import data
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

dat.raw <-
  read.csv(here::here("Het-doet-je-wat!-Live..csv"));

dat <- dat.raw;

### Remove test entries
dat <- dat[3:nrow(dat), ];

### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Rename variables
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

names(dat) <- sub("Paddo.s",
                  "Mushrooms",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Oefenvraag..hoe.lekker.vindt.je.deze.dingen.......",
                  "oefenvraag_",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Risico.s.en.schade.voor.de.gebruiker.......",
                  "damageSelf_",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Risico.s.en.schade.voor.andere.mensen.......",
                  "damageOther_",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Voordelen.voor.de.gebruiker.......",
                  "benefits_",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Verslavingsrisico.......",
                  "addiction_",
                  names(dat), fixed = TRUE);

names(dat) <- sub("Weging....",
                  "weights_",
                  names(dat), fixed = TRUE);

names(dat)[names(dat) == "weights_Schade"] <- "weights_damageSelf";
names(dat)[names(dat) == "weights_Schade.anderen"] <- "weights_damageOther";
names(dat)[names(dat) == "weights_Verslaving"] <- "weights_addiction";
names(dat)[names(dat) == "weights_Voordelen"] <- "weights_benefits";
names(dat)[names(dat) == "Je.unieke.code"] <- "uniqueCode";

Data opschonen

### Rescale scores in case the highest score was not 5 and/or the lowest
### score was not 1
### Also set weights on a scale from 1 to 5
for (i in 1:nrow(dat)) {

  for (criterion in criteriaSlugs) {
    
    criterionMax <-
      max(as.numeric(dat[i, paste0(criterion, "_", drugSlugs)]));
    criterionMin <-
      min(as.numeric(dat[i, paste0(criterion, "_", drugSlugs)]));
  
    dat[i, paste0(criterion, "_", drugSlugs_recoded)] <-
      (dat[i, paste0(criterion, "_", drugSlugs)] - criterionMin) /
      (criterionMax - criterionMin);
    
    dat[i, paste0(criterion, "_", drugSlugs_recoded)] <-
      (4 * dat[i, paste0(criterion, "_", drugSlugs_recoded)]) + 1;

  }
  
}

### Rescale weights in case the highest weight was not 100;
### Also set weights on a scale from 0 to 1
for (i in 1:nrow(dat)) {
  
  ### Remove percentage symbol
  dat[i, paste0("weights_", criteriaSlugs)] <-
    sub("%", "", trimws(dat[i, paste0("weights_", criteriaSlugs)]),
        fixed = TRUE);

  ### Compute multiplier based on highest weight
  multiplier <-
    1 / max(as.numeric(dat[i, paste0("weights_", criteriaSlugs)]));
  
  ### Perform correction
  dat[i, paste0("correctedWeights_", criteriaSlugs)] <-
    multiplier * as.numeric(dat[i, paste0("weights_", criteriaSlugs)]);

}

Berekeningen: schattingen middelen.

ratingMeans <-
  unlist(
    lapply(
      criteriaSlugs,
      function(criterion) {
        return(
          lapply(
            drugSlugs_recoded,
            function(drug) {
              return(
                mean(
                  dat[, paste(criterion,
                              drug,
                              sep = "_")],
                  na.rm = TRUE
                )
              );
            }
          )
        );
      }
    ),
    recursive = FALSE
  );

ratingMeansDf <-
  data.frame(
    rating = unlist(ratingMeans)
  );

ratingMeansDf$criterion =
  factor(unlist(lapply(strsplit(names(ratingMeans), "\\."), `[[`, 1)),
         levels = unique(unlist(lapply(strsplit(names(ratingMeans), "\\."), `[[`, 1))),
         ordered = TRUE);

ratingMeansDf$drug =
  factor(unlist(lapply(strsplit(names(ratingMeans), "\\."), `[[`, 2)),
         levels = unique(unlist(lapply(strsplit(names(ratingMeans), "\\."), `[[`, 2))),
         ordered = TRUE);

ratingMeansDf$drug <- sub("_recoded", "", ratingMeansDf$drug, fixed = TRUE);

Berekeningen: schattingen wegen en aggregeren

### Weights

meanWeights <-
  colMeans(
    dat[, grep("correctedWeights_", names(dat), value=TRUE)]
  );

meanWeights_rescaled <- (100 * max(meanWeights)) * meanWeights;

names(meanWeights) <-
  names(titles$criterion);

### Add to rating means

ratingMeansDf$weight <-
  meanWeights_rescaled[ratingMeansDf$criterion];

ratingMeansDf$weightedRating_unsigned <-
  ratingMeansDf$rating * ratingMeansDf$weight;

ratingMeansDf$weightedRating <-
  unlist(weightSigns[ratingMeansDf$criterion]) * ratingMeansDf$weightedRating_unsigned;
  
meanScores <- list();

for (drug in names(titles$drug)) {
  meanScores[[drug]] <-
    ratingsToScores(
      ratingMeansDf[ratingMeansDf$drug == drug, 'rating'],
      meanWeights_rescaled * 2
      #weightOrder = 1
    );
}

meanScoresDf <-
  data.frame(
    drug = names(titles$drug),
    score = unlist(meanScores)
  );

Overzicht van de schattingen

Deze secties laten de frequenties en gemiddelden zien van de schattingen (voor de weging).

Frequenties van de schattingen

Histogrammen

De tweede tab bevat de frequenties waarmnee elke schatting voorkwam als nummer.

ratingFreqs <-
  unlist(
    lapply(
      criteriaSlugs,
      function(criterion) {
        return(
          lapply(
            drugSlugs_recoded,
            function(drug) {
              return(
                table(
                  dat[, paste(criterion,
                              drug,
                              sep = "_")]
                )
              );
            }
          )
        );
      }
    ),
    recursive = FALSE
  );

ratingPlots <-
  unlist(
    lapply(
      criteriaSlugs,
      function(criterion) {
        return(
          lapply(
            drugSlugs,
            function(drug) {
              res <-
                ggplot2::ggplot(
                  dat,
                  mapping = ggplot2::aes(
                    x = .data[[paste(criterion,
                                     drug,
                                     sep = "_")]]
                  )
                ) +
                  ggplot2::geom_bar(na.rm = TRUE) +
                  ggplot2::coord_cartesian(
                    xlim = c(1, 5),
                    ylim = c(0, max(unlist(ratingFreqs)))
                  ) +
                  ggplot2::scale_x_continuous(
                    breaks = 1:5
                  ) +
                  ggplot2::labs(
                    x = NULL,
                    y = NULL,
                    title = 
                      paste0(
                        titles$drug[[drug]],
                        ", ",
                        titles$criterion[[criterion]]
                      )
                  ) +
                  ggplot2::theme_minimal();
              if (criterion != criteriaSlugs[1]) {
                res <- res +
                  ggplot2::theme(
                    axis.title.y = ggplot2::element_blank(),
                    axis.text.y = ggplot2::element_blank(),
                    axis.ticks.y = ggplot2::element_blank()
                  );
              }
              if (drug != drugSlugs[5]) {
                res <- res +
                  ggplot2::theme(
                    axis.title.x = ggplot2::element_blank(),
                    axis.text.x = ggplot2::element_blank(),
                    axis.ticks.x = ggplot2::element_blank()
                  );
              }
              return(res);
            }
          )
        );
      }
    ),
    recursive = FALSE
  );

patchwork::wrap_plots(
  ratingPlots,
  byrow = FALSE,
  ncol = 4,
  guides = "collect"
);

Frequenties

print(ratingFreqs);

## $damageSelf.Alcohol_recoded
## 
##                1                2 2.33333333333333                3 
##                2                1                1                3 
## 3.66666666666667                4                5 
##                7               13               53 
## 
## $damageSelf.Ecstasy_recoded
## 
##                1                2 2.33333333333333                3 
##               43               18                5               11 
## 3.66666666666667                4                5 
##                1                1                1 
## 
## $damageSelf.Nicotine_recoded
## 
##                1                2 2.33333333333333                3 
##                9                1                1                6 
## 3.66666666666667                4                5 
##                6               14               43 
## 
## $damageSelf.Mushrooms_recoded
## 
##                1                2 2.33333333333333                3 
##               52                8                5                8 
## 3.66666666666667                5 
##                2                5 
## 
## $damageSelf.3MMC_recoded
## 
##                1                2 2.33333333333333                3 
##               11                2                6               23 
## 3.66666666666667                4                5 
##                8               11               19 
## 
## $damageOther.Alcohol_recoded
## 
##                1                2 2.33333333333333                3 
##                5                2                3                2 
## 3.66666666666667                4                5 
##                3                3               65 
## 
## $damageOther.Ecstasy_recoded
## 
##                1                2 2.33333333333333                3 
##               68                5                1                5 
## 3.66666666666667                4                5 
##                2                1                1 
## 
## $damageOther.Nicotine_recoded
## 
##                1                2 2.33333333333333                3 
##               13                4                7                6 
## 3.66666666666667                4                5 
##                5               15               33 
## 
## $damageOther.Mushrooms_recoded
## 
##                1                2 2.33333333333333                3 
##               49               12                6                7 
## 3.66666666666667                4                5 
##                2                4                3 
## 
## $damageOther.3MMC_recoded
## 
##                1                2 2.33333333333333                3 
##               26               14               11               15 
## 3.66666666666667                4                5 
##                6                5                6 
## 
## $benefits.Alcohol_recoded
## 
##                1                2 2.33333333333333                3 
##               23                7                9               18 
## 3.66666666666667                4                5 
##                8                6                8 
## 
## $benefits.Ecstasy_recoded
## 
##                1                3 3.66666666666667                4 
##                2                3                6               10 
##                5 
##               58 
## 
## $benefits.Nicotine_recoded
## 
##                1                2 2.33333333333333                3 
##               58               10                1                1 
## 3.66666666666667                4                5 
##                3                2                4 
## 
## $benefits.Mushrooms_recoded
## 
##                1                2 2.33333333333333                3 
##               10                4                5               18 
## 3.66666666666667                4                5 
##                5                8               29 
## 
## $benefits.3MMC_recoded
## 
##                1                2 2.33333333333333                3 
##               21                4                6               20 
## 3.66666666666667                4                5 
##                4                8               16 
## 
## $addiction.Alcohol_recoded
## 
## 2.33333333333333                3 3.66666666666667                4 
##                2                4                6               20 
##                5 
##               50 
## 
## $addiction.Ecstasy_recoded
## 
##                1                2 2.33333333333333                3 
##               49               16                2                9 
## 3.66666666666667                5 
##                1                5 
## 
## $addiction.Nicotine_recoded
## 
##  3  4  5 
##  4  6 72 
## 
## $addiction.Mushrooms_recoded
## 
##                1                2 2.33333333333333                3 
##               62               10                4                5 
##                5 
##                1 
## 
## $addiction.3MMC_recoded
## 
##                1                2 2.33333333333333                3 
##               14                7               11               21 
##                4                5 
##                8               21

Gemiddelde schattingen

Dit zijn de schattingen gemiddeld over de deelnemers.

Schattingen per criterium en per drug

ratingMeansDf$drug_factor <-
  factor(ratingMeansDf$drug,
         levels = names(originalDrugOrder),
         labels = originalDrugOrder,
         ordered = TRUE);

ratingMeansPlot <-
  ggplot2::ggplot(
    data = ratingMeansDf,
    mapping =
      ggplot2::aes(
        x = criterion,
        y = rating,
        group = drug_factor,
        color = drug_factor,
        fill = drug_factor
      )
  ) +
  ggplot2::geom_line(linewidth = 1) +
  ggplot2::coord_cartesian(
    ylim = c(1, 5)
  ) +
  ggplot2::scale_y_continuous(
    breaks = 1:5
  ) +
  ggplot2::scale_color_discrete(
    palette = c("#fa3e8e", "#f2c616", "#fdb3c8", "#f1e3ab", "#ffffff")
  ) +
  ggplot2::theme_minimal(
    ink = "white",
    accent = "#ccc",
    paper = "transparent"
  ) +
  ggplot2::labs(
    y = "Schatting",
    x = "Drug",
    color = "Drug"
  );

ggplot2::ggsave(
  here::here("output", "rating-means-unweighted.png"),
  ratingMeansPlot,
  width = 9,
  height = 5,
  dpi = 300,
  bg = NA
);

ratingMeansPlot +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "#664a9d"
  );

Scores (de gewogen gemiddelde schattingen)

knitr::kable(meanScoresDf);

	drug	score
Alcohol	Alcohol	401.96640
Ecstasy	Ecstasy	30.92750
Nicotine	Nicotine	402.00911
Mushrooms	Mushrooms	64.04024
3MMC	3MMC	227.22597

meanScoresDf_clean <-
  meanScoresDf;

meanScoresDf_clean$drug <-
  as.character(titles$drug[meanScoresDf_clean$drug]);

meanScoresDf_clean$drug_factor <-
  factor(meanScoresDf_clean$drug,
         levels = originalDrugOrder,
         labels = originalDrugOrder,
         ordered = TRUE);

aggregatedScores <-
  ggplot2::ggplot(
    data = meanScoresDf_clean,
    mapping = ggplot2::aes(
      x = drug_factor,
      y = score,
      fill = drug
    )
  ) +
    ggplot2::geom_col() +
    #ggplot2::scale_fill_viridis_d() +
    ggplot2::scale_fill_discrete(
      palette = c("#fa3e8e", "#f2c616", "#fdb3c8", "#f1e3ab", "#ffffff")
    ) +
    ggplot2::theme_minimal(
      base_size = 16,
      ink = "white",
      accent = "#ccc",
      paper = "transparent"
    ) +
  ggplot2::labs(
    y = "Score",
    x = "Drug",
    fill = "Drug"
  );

ggplot2::ggsave(
  here::here("output", "aggregated-scores.png"),
  aggregatedScores,
  width = 9,
  height = 5,
  dpi = 300,
  bg = NA
);

aggregatedScores +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "#664a9d"
  );

### Ordered by drug

decreasingDrugOrder <- order(meanScoresDf_clean$score, decreasing = TRUE);
orderedDrugLabels <- meanScoresDf_clean$drug[order(meanScoresDf_clean$score, decreasing = TRUE)];

meanScoresDf_clean$drug_factor_ordered <-
  factor(meanScoresDf_clean$drug,
         levels = orderedDrugLabels,
         labels = orderedDrugLabels,
         ordered = TRUE);

aggregatedScores_ordered <-
  ggplot2::ggplot(
    data = meanScoresDf_clean,
    mapping = ggplot2::aes(
      x = drug_factor_ordered,
      y = score,
      fill = drug
    )
  ) +
    ggplot2::geom_col() +
    #ggplot2::scale_fill_viridis_d() +
    ggplot2::scale_fill_discrete(
      palette = c("#fa3e8e", "#f2c616", "#fdb3c8", "#f1e3ab", "#ffffff")
    ) +
    ggplot2::theme_minimal(
      base_size = 16,
      ink = "white",
      accent = "#ccc",
      paper = "transparent"
    ) +
  ggplot2::labs(
    y = "Score",
    x = "Drug",
    fill = "Drug"
  );
  
  ggplot2::ggsave(
    here::here("output", "aggregated-scores-ordered.png"),
    aggregatedScores_ordered,
    width = 9,
    height = 5,
    dpi = 300,
    bg = NA
  );
  
aggregatedScores_ordered +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "#664a9d"
  );

knitr::kable(ratingMeansDf);

	rating	criterion	drug	weight	weightedRating_unsigned	weightedRating	drug_factor
damageSelf.Alcohol_recoded	4.475000	damageSelf	Alcohol	71.48920	319.91416	319.91416	Alcohol 🍻
damageSelf.Ecstasy_recoded	1.704167	damageSelf	Ecstasy	71.48920	121.82951	121.82951	Ecstasy 💊
damageSelf.Nicotine_recoded	4.054167	damageSelf	Nicotine	71.48920	289.82912	289.82912	Nicotine 🚬
damageSelf.Mushrooms_recoded	1.700000	damageSelf	Mushrooms	71.48920	121.53164	121.53164	Paddo’s 🍄
damageSelf.3MMC_recoded	3.329167	damageSelf	3MMC	71.48920	237.99945	237.99945	3MMC 🍚
damageOther.Alcohol_recoded	4.457831	damageOther	Alcohol	68.82874	306.82689	306.82689	Alcohol 🍻
damageOther.Ecstasy_recoded	1.345382	damageOther	Ecstasy	68.82874	92.60091	92.60091	Ecstasy 💊
damageOther.Nicotine_recoded	3.598394	damageOther	Nicotine	68.82874	247.67288	247.67288	Nicotine 🚬
damageOther.Mushrooms_recoded	1.763052	damageOther	Mushrooms	68.82874	121.34865	121.34865	Paddo’s 🍄
damageOther.3MMC_recoded	2.369478	damageOther	3MMC	68.82874	163.08817	163.08817	3MMC 🍚
benefits.Alcohol_recoded	2.599156	benefits	Alcohol	61.27645	159.26707	-159.26707	Alcohol 🍻
benefits.Ecstasy_recoded	4.594937	benefits	Ecstasy	61.27645	281.56143	-281.56143	Ecstasy 💊
benefits.Nicotine_recoded	1.548523	benefits	Nicotine	61.27645	94.88801	-94.88801	Nicotine 🚬
benefits.Mushrooms_recoded	3.531646	benefits	Mushrooms	61.27645	216.40672	-216.40672	Paddo’s 🍄
benefits.3MMC_recoded	2.907173	benefits	3MMC	61.27645	178.14126	-178.14126	3MMC 🍚
addiction.Alcohol_recoded	4.495935	addiction	Alcohol	74.83623	336.45883	336.45883	Alcohol 🍻
addiction.Ecstasy_recoded	1.723577	addiction	Ecstasy	74.83623	128.98602	128.98602	Ecstasy 💊
addiction.Nicotine_recoded	4.829268	addiction	Nicotine	74.83623	361.40424	361.40424	Nicotine 🚬
addiction.Mushrooms_recoded	1.357724	addiction	Mushrooms	74.83623	101.60692	101.60692	Paddo’s 🍄
addiction.3MMC_recoded	3.093496	addiction	3MMC	74.83623	231.50558	231.50558	3MMC 🍚

ratingMeansDf_clean <- ratingMeansDf;

ratingMeansDf_clean$drug <-
    as.character(titles$drug[ratingMeansDf_clean$drug]);

ratingMeansDf_clean$criterion <-
    as.character(titles$criterion[ratingMeansDf_clean$criterion]);

ratingMeansDf_clean$drug_factor <-
  factor(ratingMeansDf_clean$drug,
         levels = originalDrugOrder,
         labels = originalDrugOrder,
         ordered = TRUE);


aggregatedScores_per_criterion <-
  ggplot2::ggplot(
    data = ratingMeansDf_clean,
    mapping = ggplot2::aes(
      x = drug_factor,
      y = weightedRating,
      fill = criterion,
      group = criterion
    )
  ) +
  ggplot2::geom_col() +
  #ggplot2::scale_fill_viridis_d() +
  ggplot2::scale_fill_discrete(
    palette = c("#fa3e8e", "#f2c616", "#fdb3c8", "#f1e3ab", "#ffffff")
  ) +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "transparent"
  ) +
  ggplot2::labs(
    y = "Gewogen scores",
    x = "Drug",
    fill = "Criterium"
  );

ggplot2::ggsave(
  here::here("output", "aggregated-scores-per-criterion.png"),
  aggregatedScores_per_criterion,
  width = 9,
  height = 5,
  dpi = 300,
  bg = "transparent"
);

aggregatedScores_per_criterion +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "#664a9d"
  );

### Ordered by drug

ratingMeansDf_clean$drug_factor_ordered <-
  factor(ratingMeansDf_clean$drug,
         levels = orderedDrugLabels,
         labels = orderedDrugLabels,
         ordered = TRUE);

aggregatedScores_per_criterion_ordered <-
  ggplot2::ggplot(
    data = ratingMeansDf_clean,
    mapping = ggplot2::aes(
      x = drug_factor_ordered,
      y = weightedRating,
      fill = criterion,
      group = criterion
    )
  ) +
  ggplot2::geom_col() +
  #ggplot2::scale_fill_viridis_d() +
  ggplot2::scale_fill_discrete(
    palette = c("#fa3e8e", "#f2c616", "#fdb3c8", "#f1e3ab", "#ffffff")
  ) +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "transparent"
  ) +
  ggplot2::labs(
    y = "Gewogen scores",
    x = "Drug",
    fill = "Criterium"
  );

ggplot2::ggsave(
  here::here("output", "aggregated-scores-per-criterion-ordered.png"),
  aggregatedScores_per_criterion_ordered,
  width = 9,
  height = 5,
  dpi = 300,
  bg = "transparent"
);

aggregatedScores_per_criterion_ordered +
  ggplot2::theme_minimal(
    base_size = 16,
    ink = "white",
    accent = "#ccc",
    paper = "#664a9d"
  );

Individuele schattingen en scores

Uitleg

Dit zijn de schattingen, wegingen, en scores per deelnemer. Als je nog weet welke unieke code je hebt ingevoerd, kun je in de andere tabs in deze sectie terugvinden wat je hebt ingevoerd, samen met de uiteindelijke scores die daaruit volgen en de bijbehorende datavisualisaties.

Sander

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.25 (pre-rescaling: 25)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: -0.375
• Nicotine 🚬: 3.875
• Paddo’s 🍄: 0.375
• 3MMC 🍚: 1.5

Welkom01

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.25 (pre-rescaling: 25)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 2.125
• Ecstasy 💊: 0
• Nicotine 🚬: 3.75
• Paddo’s 🍄: 0
• 3MMC 🍚: 1.25

VL65VO

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 3 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 2.333333 (pre-rescaling: 3)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.125
• Ecstasy 💊: 0.125
• Nicotine 🚬: 3.5
• Paddo’s 🍄: 1.5
• 3MMC 🍚: 2.75

Poppi

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 2.333333 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: 0.5
• Nicotine 🚬: 4
• Paddo’s 🍄: 0.5
• 3MMC 🍚: 1

Flippie

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 3 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 0.3333333 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6.166667
• Ecstasy 💊: 0.8333334
• Nicotine 🚬: 3.5
• Paddo’s 🍄: 1.166667
• 3MMC 🍚: 3.833333

(14:21)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 2
• Nicotine 🚬: 4.5
• Paddo’s 🍄: 3
• 3MMC 🍚: 4

Amsterdam1971

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.25 (pre-rescaling: 25)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 1.875
• Ecstasy 💊: -1.375
• Nicotine 🚬: 3.75
• Paddo’s 🍄: -1.125
• 3MMC 🍚: 0.625

Heartbeat

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 0.6666667 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6.166667
• Ecstasy 💊: 0.8333333
• Nicotine 🚬: 7.166667
• Paddo’s 🍄: -0.1666667
• 3MMC 🍚: 4.5

(14:27)

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 2.333333 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 1.875
• Ecstasy 💊: -0.5
• Nicotine 🚬: 3
• Paddo’s 🍄: -0.5
• 3MMC 🍚: 1.125

Lief

Schade gebruiker:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: NaN (pre-rescaling: 1)
• Ecstasy 💊: NaN (pre-rescaling: 1)
• Nicotine 🚬: NaN (pre-rescaling: 1)
• Paddo’s 🍄: NaN (pre-rescaling: 1)
• 3MMC 🍚: NaN (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 3.125
• Ecstasy 💊: 0.875
• Nicotine 🚬: 3.625
• Paddo’s 🍄: 1.875
• 3MMC 🍚: 2.625

(14:28)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.3333333 (pre-rescaling: 25)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 3.333333
• Ecstasy 💊: -0.8333334
• Nicotine 🚬: 2.333333
• Paddo’s 🍄: 0.1666667
• 3MMC 🍚: 0.1666667

Henk

Schade gebruiker:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 3
• Ecstasy 💊: 1
• Nicotine 🚬: 6.5
• Paddo’s 🍄: 2
• 3MMC 🍚: 3.5

T

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 2.875
• Ecstasy 💊: -1
• Nicotine 🚬: 4.375
• Paddo’s 🍄: -1.375
• 3MMC 🍚: 3.375

1577

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.3333333 (pre-rescaling: 25)
• Schade anderen: 0.3333333 (pre-rescaling: 25)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 0.3333333 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 0.8333331
• Ecstasy 💊: -1.666667
• Nicotine 🚬: 0.6666664
• Paddo’s 🍄: -1.666667
• 3MMC 🍚: -1.666667

Lekker

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 6.5
• Ecstasy 💊: -0.5
• Nicotine 🚬: 6
• Paddo’s 🍄: 0
• 3MMC 🍚: 1

(14:33)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 7
• Ecstasy 💊: 1.75
• Nicotine 🚬: 5.75
• Paddo’s 🍄: 1.25
• 3MMC 🍚: 3

Paul

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2.333333 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6.125
• Ecstasy 💊: 2.125
• Nicotine 🚬: 5
• Paddo’s 🍄: -0.125
• 3MMC 🍚: 2.625

1637

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 0.5 (pre-rescaling: 25)
• Voordelen: 0.5 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 3.25
• Ecstasy 💊: 2
• Nicotine 🚬: 4
• Paddo’s 🍄: 1.75
• 3MMC 🍚: 2

(14:34)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2.333333 (pre-rescaling: 3)
• Nicotine 🚬: 3.666667 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 5.125
• Ecstasy 💊: 2.75
• Nicotine 🚬: 4.25
• Paddo’s 🍄: 1.625
• 3MMC 🍚: 2.125

(14:34)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 4.25
• Nicotine 🚬: 5
• Paddo’s 🍄: 2
• 3MMC 🍚: 5.75

15011978

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 0.3333333 (pre-rescaling: 25)
• Voordelen: 0.3333333 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.833333
• Ecstasy 💊: 1.333333
• Nicotine 🚬: 5
• Paddo’s 🍄: 1
• 3MMC 🍚: 4.666667

Why not

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.75
• Ecstasy 💊: 2.75
• Nicotine 🚬: 7.25
• Paddo’s 🍄: 2.5
• 3MMC 🍚: 3

Sora

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.25
• Ecstasy 💊: 0
• Nicotine 🚬: 5.625
• Paddo’s 🍄: 0
• 3MMC 🍚: 3.875

Klaas Jan Pieter

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 2.333333 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: 1.75
• Nicotine 🚬: 5.25
• Paddo’s 🍄: 0.375
• 3MMC 🍚: 1.75

Localhero

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 0.5
• Nicotine 🚬: 5.5
• Paddo’s 🍄: -1
• 3MMC 🍚: 2.5

Tijs Huetink

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 1
• Nicotine 🚬: 3
• Paddo’s 🍄: 0.5
• 3MMC 🍚: 5

MadMax

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.25 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 0
• Ecstasy 💊: -0.125
• Nicotine 🚬: 3.25
• Paddo’s 🍄: -0.125
• 3MMC 🍚: 0.75

(14:36)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 0.6666667 (pre-rescaling: 50)
• Voordelen: 0.3333333 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6.166667
• Ecstasy 💊: 2
• Nicotine 🚬: 4.333333
• Paddo’s 🍄: 0.5000001
• 3MMC 🍚: 4.5

Gertruda

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.125
• Ecstasy 💊: 1.75
• Nicotine 🚬: 6.375
• Paddo’s 🍄: 1.625
• 3MMC 🍚: 4.375

(14:39)

Schade gebruiker:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 0.6666667 (pre-rescaling: 50)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 2.333333
• Ecstasy 💊: 1.833333
• Nicotine 🚬: 3.333333
• Paddo’s 🍄: 2.666667
• 3MMC 🍚: 4.666667

(14:40)

Schade gebruiker:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0 (pre-rescaling: 0)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 4
• Nicotine 🚬: 5
• Paddo’s 🍄: 4
• 3MMC 🍚: 5

(14:42)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 2
• Nicotine 🚬: 2.25
• Paddo’s 🍄: 2.75
• 3MMC 🍚: 3

just Me

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: NaN (pre-rescaling: 4)
• Ecstasy 💊: NaN (pre-rescaling: 4)
• Nicotine 🚬: NaN (pre-rescaling: 4)
• Paddo’s 🍄: NaN (pre-rescaling: 4)
• 3MMC 🍚: NaN (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 6
• Ecstasy 💊: 4
• Nicotine 🚬: 5
• Paddo’s 🍄: 4
• 3MMC 🍚: 4.5

BigN

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 3 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 0.3333333 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 2
• Ecstasy 💊: 1.166667
• Nicotine 🚬: -0.6666667
• Paddo’s 🍄: 0.5
• 3MMC 🍚: 1.166667

3375

Schade gebruiker:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 0.25 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 2.75
• Ecstasy 💊: 2.625
• Nicotine 🚬: 1.875
• Paddo’s 🍄: 2.125
• 3MMC 🍚: 3.75

(14:44)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: 0
• Nicotine 🚬: 4.5
• Paddo’s 🍄: 2.5
• 3MMC 🍚: 4

(14:45)

Schade gebruiker:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 0.3333333 (pre-rescaling: 25)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 0.3333333 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 1.5
• Ecstasy 💊: -0.5000001
• Nicotine 🚬: 3
• Paddo’s 🍄: 0.4999999
• 3MMC 🍚: 0.4999999

88

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: 0.5
• Nicotine 🚬: 6
• Paddo’s 🍄: -0.5
• 3MMC 🍚: 3

(14:46)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 6.875
• Ecstasy 💊: 2.25
• Nicotine 🚬: 6.875
• Paddo’s 🍄: 3.125
• 3MMC 🍚: 3.5

36

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: -0.5
• Nicotine 🚬: 3.5
• Paddo’s 🍄: 0.5
• 3MMC 🍚: 3.5

(14:47)

Schade gebruiker:

• Alcohol 🍻: 2.333333 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 3.666667 (pre-rescaling: 4)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.125
• Ecstasy 💊: 0.625
• Nicotine 🚬: 5
• Paddo’s 🍄: 2.625
• 3MMC 🍚: 2

(14:47)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 0
• Nicotine 🚬: 6.5
• Paddo’s 🍄: 1
• 3MMC 🍚: 5.5

(14:48)

Schade gebruiker:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: 3.375
• Nicotine 🚬: 5.375
• Paddo’s 🍄: 4.125
• 3MMC 🍚: 4.125

1403

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 6
• Ecstasy 💊: -1
• Nicotine 🚬: 7
• Paddo’s 🍄: 1
• 3MMC 🍚: 1.5

(14:49)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: -0.5
• Nicotine 🚬: 4
• Paddo’s 🍄: 0
• 3MMC 🍚: 2

(14:50)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.125
• Ecstasy 💊: 0.75
• Nicotine 🚬: 4.5
• Paddo’s 🍄: -0.25
• 3MMC 🍚: 2.875

(14:50)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 3.666667 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: 0
• Nicotine 🚬: 1.5
• Paddo’s 🍄: 1
• 3MMC 🍚: -1

Lucas6

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 3 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.875
• Ecstasy 💊: 2.375
• Nicotine 🚬: 4.625
• Paddo’s 🍄: 2.625
• 3MMC 🍚: 3.625

Xtc love

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.125
• Ecstasy 💊: -1.375
• Nicotine 🚬: 3.75
• Paddo’s 🍄: 2.125
• 3MMC 🍚: 4.5

There’s a Light that never goes out

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 6.25
• Ecstasy 💊: 3.25
• Nicotine 🚬: 4.25
• Paddo’s 🍄: 0.25
• 3MMC 🍚: 3.25

Yougotthis

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 1
• Nicotine 🚬: 3.5
• Paddo’s 🍄: -0.5
• 3MMC 🍚: 5.5

(14:53)

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 2.333333 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 1.875
• Ecstasy 💊: 1
• Nicotine 🚬: 3.625
• Paddo’s 🍄: 3.125
• 3MMC 🍚: 1.625

(14:54)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: NaN (pre-rescaling: 4)
• Ecstasy 💊: NaN (pre-rescaling: 4)
• Nicotine 🚬: NaN (pre-rescaling: 4)
• Paddo’s 🍄: NaN (pre-rescaling: 4)
• 3MMC 🍚: NaN (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.75
• Ecstasy 💊: 5.25
• Nicotine 🚬: 5.75
• Paddo’s 🍄: 5.75
• 3MMC 🍚: 5.75

(14:55)

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 3.666667 (pre-rescaling: 4)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: 1
• Nicotine 🚬: 5.5
• Paddo’s 🍄: 2
• 3MMC 🍚: 3.5

(14:56)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 2.333333 (pre-rescaling: 3)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6
• Ecstasy 💊: 1.5
• Nicotine 🚬: 6
• Paddo’s 🍄: 4
• 3MMC 🍚: 2

0009

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 3.375
• Ecstasy 💊: -0.5
• Nicotine 🚬: 2.875
• Paddo’s 🍄: -0.5
• 3MMC 🍚: 2.125

13

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 3 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 0.6666667 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 6.833333
• Ecstasy 💊: 4
• Nicotine 🚬: 6.166667
• Paddo’s 🍄: 4.5
• 3MMC 🍚: 4.5

18

Schade gebruiker:

• Alcohol 🍻: NaN (pre-rescaling: 4)
• Ecstasy 💊: NaN (pre-rescaling: 4)
• Nicotine 🚬: NaN (pre-rescaling: 4)
• Paddo’s 🍄: NaN (pre-rescaling: 4)
• 3MMC 🍚: NaN (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 5 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 0.6666667 (pre-rescaling: 50)
• Voordelen: 0.6666667 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 3.333333
• Ecstasy 💊: 3
• Nicotine 🚬: 4.333333
• Paddo’s 🍄: 2.833333
• 3MMC 🍚: 4

(14:57)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 0.25 (pre-rescaling: 25)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.75 (pre-rescaling: 75)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 3.75
• Ecstasy 💊: 0.5
• Nicotine 🚬: 1.5
• Paddo’s 🍄: 1
• 3MMC 🍚: 0.75

(14:57)

Schade gebruiker:

• Alcohol 🍻: NaN (pre-rescaling: 5)
• Ecstasy 💊: NaN (pre-rescaling: 5)
• Nicotine 🚬: NaN (pre-rescaling: 5)
• Paddo’s 🍄: NaN (pre-rescaling: 5)
• 3MMC 🍚: NaN (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 3 (pre-rescaling: 4)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 4
• Ecstasy 💊: 2.25
• Nicotine 🚬: 3.25
• Paddo’s 🍄: 2.5
• 3MMC 🍚: 2.25

2410

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.75
• Ecstasy 💊: 0.5
• Nicotine 🚬: 4.75
• Paddo’s 🍄: 2.375
• 3MMC 🍚: 2.375

QQ

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 0.6666667 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 2.5
• Ecstasy 💊: -0.8333333
• Nicotine 🚬: 3.166667
• Paddo’s 🍄: 0.5000001
• 3MMC 🍚: 0.3333334

1807

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 0.75 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.25
• Ecstasy 💊: 0.5
• Nicotine 🚬: 2.5
• Paddo’s 🍄: 1.125
• 3MMC 🍚: 3

(14:59)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 3 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 3.25
• Nicotine 🚬: 5.5
• Paddo’s 🍄: 3.25
• 3MMC 🍚: 4.25

Vrijdag

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 3 (pre-rescaling: 3)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 1.5
• Nicotine 🚬: 4
• Paddo’s 🍄: 2.5
• 3MMC 🍚: 1.75

Dark side of the moon

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.75
• Ecstasy 💊: -0.75
• Nicotine 🚬: 5.25
• Paddo’s 🍄: 1.25
• 3MMC 🍚: 2.75

26133

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.25
• Ecstasy 💊: 0
• Nicotine 🚬: 5.5
• Paddo’s 🍄: 2.25
• 3MMC 🍚: 3

(15:01)

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 0
• Nicotine 🚬: 7
• Paddo’s 🍄: -1
• 3MMC 🍚: 2.5

30081971

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 3 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 7
• Ecstasy 💊: 4.875
• Nicotine 🚬: 6.125
• Paddo’s 🍄: 5
• 3MMC 🍚: 6

Lucas7

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: -0.5
• Nicotine 🚬: 6.5
• Paddo’s 🍄: 0.5
• 3MMC 🍚: 3.5

Lukas8

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: -1
• Nicotine 🚬: 6.5
• Paddo’s 🍄: 2.5
• 3MMC 🍚: 1.5

1010

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 3 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 3.666667 (pre-rescaling: 4)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2.333333 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 50)
• Voordelen: 1 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 6
• Ecstasy 💊: 1.5
• Nicotine 🚬: 5.5
• Paddo’s 🍄: 1.5
• 3MMC 🍚: 6

1971

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 4 (pre-rescaling: 4)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0 (pre-rescaling: 0)
• Schade anderen: 0.3333333 (pre-rescaling: 25)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 0.6666667 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 1.666667
• Ecstasy 💊: -1.166667
• Nicotine 🚬: 1.333333
• Paddo’s 🍄: -1.833333
• 3MMC 🍚: -2.220446e-16

Rb111

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 3.666667 (pre-rescaling: 3)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Verslavingsrisico:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 2.833333
• Ecstasy 💊: -0.6666667
• Nicotine 🚬: 2.833333
• Paddo’s 🍄: -0.1666667
• 3MMC 🍚: 2

(15:07)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 75)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 4.5
• Ecstasy 💊: -0.5
• Nicotine 🚬: 4.5
• Paddo’s 🍄: 1
• 3MMC 🍚: 4.5

4242

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 4)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: NaN (pre-rescaling: 3)
• Ecstasy 💊: NaN (pre-rescaling: 3)
• Nicotine 🚬: NaN (pre-rescaling: 3)
• Paddo’s 🍄: NaN (pre-rescaling: 3)
• 3MMC 🍚: NaN (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 2.333333 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.6666667 (pre-rescaling: 50)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 0 (pre-rescaling: 0)
• Verslavingsrisico: 0.3333333 (pre-rescaling: 25)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 1.5
• Nicotine 🚬: 4.5
• Paddo’s 🍄: 2.666667
• 3MMC 🍚: 2.833333

7804

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2.333333 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3.666667 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 2)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 2)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 4)

Gewichten per criterium:

• Schade gebruiker: 0.3333333 (pre-rescaling: 25)
• Schade anderen: 1 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 75)
• Verslavingsrisico: 1 (pre-rescaling: 75)

Scores per drug:

• Alcohol 🍻: 3.666667
• Ecstasy 💊: -0.3333333
• Nicotine 🚬: 3.333333
• Paddo’s 🍄: -0.8333334
• 3MMC 🍚: 3.5

(15:08)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 3)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 0.25 (pre-rescaling: 25)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.5
• Ecstasy 💊: 2.75
• Nicotine 🚬: 5
• Paddo’s 🍄: 1.75
• 3MMC 🍚: 4.5

(15:09)

Schade gebruiker:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 5 (pre-rescaling: 5)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 3)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.5 (pre-rescaling: 50)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.25
• Ecstasy 💊: 1.875
• Nicotine 🚬: 4.625
• Paddo’s 🍄: 2.875
• 3MMC 🍚: 2.875

(15:09)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2.333333 (pre-rescaling: 3)
• Nicotine 🚬: 3.666667 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 3.666667 (pre-rescaling: 4)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Voordelen:

• Alcohol 🍻: 2.333333 (pre-rescaling: 2)
• Ecstasy 💊: 3.666667 (pre-rescaling: 3)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 5 (pre-rescaling: 4)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.25 (pre-rescaling: 25)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0.5 (pre-rescaling: 50)

Scores per drug:

• Alcohol 🍻: 2.5
• Ecstasy 💊: 0.125
• Nicotine 🚬: 2
• Paddo’s 🍄: -1.125
• 3MMC 🍚: 1.375

FiletMignon

Schade gebruiker:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 2 (pre-rescaling: 2)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 4 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 4 (pre-rescaling: 4)
• Ecstasy 💊: 3 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Gewichten per criterium:

• Schade gebruiker: 0.5 (pre-rescaling: 50)
• Schade anderen: 0.25 (pre-rescaling: 25)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 0 (pre-rescaling: 0)

Scores per drug:

• Alcohol 🍻: 0.625
• Ecstasy 💊: -1.5
• Nicotine 🚬: 1.25
• Paddo’s 🍄: -0.875
• 3MMC 🍚: -1.375

Twingo

Schade gebruiker:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 2.333333 (pre-rescaling: 3)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 5 (pre-rescaling: 5)

Schade anderen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 5 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3.666667 (pre-rescaling: 3)
• Ecstasy 💊: 5 (pre-rescaling: 4)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 3.666667 (pre-rescaling: 3)
• 3MMC 🍚: 2.333333 (pre-rescaling: 2)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 0.5 (pre-rescaling: 50)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 4.375
• Ecstasy 💊: 1.5
• Nicotine 🚬: 5.625
• Paddo’s 🍄: 0.875
• 3MMC 🍚: 2.75

(15:13)

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 1 (pre-rescaling: 1)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 1 (pre-rescaling: 1)

Voordelen:

• Alcohol 🍻: 3 (pre-rescaling: 4)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 1 (pre-rescaling: 3)
• Paddo’s 🍄: 3 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 4)

Verslavingsrisico:

• Alcohol 🍻: 3.666667 (pre-rescaling: 4)
• Ecstasy 💊: 3.666667 (pre-rescaling: 4)
• Nicotine 🚬: 5 (pre-rescaling: 5)
• Paddo’s 🍄: 1 (pre-rescaling: 2)
• 3MMC 🍚: 1 (pre-rescaling: 2)

Gewichten per criterium:

• Schade gebruiker: 1 (pre-rescaling: 100)
• Schade anderen: 1 (pre-rescaling: 100)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5
• Ecstasy 💊: 0.5
• Nicotine 🚬: 3.5
• Paddo’s 🍄: 0
• 3MMC 🍚: 0

Drumcode

Schade gebruiker:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 2 (pre-rescaling: 2)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Schade anderen:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 1 (pre-rescaling: 1)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 3 (pre-rescaling: 3)
• 3MMC 🍚: 2 (pre-rescaling: 2)

Voordelen:

• Alcohol 🍻: 1 (pre-rescaling: 1)
• Ecstasy 💊: 5 (pre-rescaling: 5)
• Nicotine 🚬: 2 (pre-rescaling: 2)
• Paddo’s 🍄: 4 (pre-rescaling: 4)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Verslavingsrisico:

• Alcohol 🍻: 5 (pre-rescaling: 5)
• Ecstasy 💊: 2 (pre-rescaling: 2)
• Nicotine 🚬: 4 (pre-rescaling: 4)
• Paddo’s 🍄: 1 (pre-rescaling: 1)
• 3MMC 🍚: 3 (pre-rescaling: 3)

Gewichten per criterium:

• Schade gebruiker: 0.75 (pre-rescaling: 75)
• Schade anderen: 0.75 (pre-rescaling: 75)
• Voordelen: 1 (pre-rescaling: 100)
• Verslavingsrisico: 1 (pre-rescaling: 100)

Scores per drug:

• Alcohol 🍻: 5.75
• Ecstasy 💊: -0.75
• Nicotine 🚬: 4
• Paddo’s 🍄: 0.375
• 3MMC 🍚: 1.875